Constitution of Prospenomics — Fundamental Principles of a Post-Scarcity Economy
Preamble
Prospenomics emerges as a proposal for a civilizational transition toward a post-scarcity economy, in which the coordination of society ceases to be organized by competition over limited resources and instead becomes guided by the maximization of collective prosperity, ecological harmony, and sustainable development.
The inspiration for this vision traces back to a monograph written in 1988/89, in which science fiction was used as a framework to explore new models of public administration and business management. Just as inventors such as Santos Dumont drew upon the imaginative works of Jules Verne and other visionary authors, Prospenomics is born from the same creative impulse: transforming imagination into a civilizational project.
Prospenomics is founded on the principle that when advanced technologies in automation, artificial intelligence, materials science, clean energy, and intelligent production systems overcome historical limitations of scarcity, the economic model based solely on markets, prices, and accumulation loses its central function.
The new economy must replace the logic of resource competition with the logic of intelligent optimization of living and social systems, oriented toward shared prosperity and long-term sustainability.
Article 1 — Fundamental Objective
The Fundamental Objective of Prospenomics
The fundamental objective of Prospenomics is to prepare humanity for the profound economic, social, technological, and ecological transformations that lie ahead, reducing the pains of transition while increasing our ability to prosper in a world that may gradually cease to be organized around scarcity.
The premise is simple, but its consequences are profound: the economic system we know was built to manage scarcity. And, for the first time in history, we are developing technologies capable of changing the very conditions that gave rise to that economy.
Artificial intelligence, robotics, automation, new forms of energy generation, biotechnology, advanced manufacturing, and autonomous systems may enormously expand our capacity to produce goods, services, knowledge, and solutions. Recent work on post-AGI economics is already examining the possibility that labor, expertise, information, and productive capacity may become far less scarce than they have been throughout most of human history.
But the central question of Prospenomics is not to try to predict exactly when this will happen or what economic system will emerge afterward.
The question is:
Will we be prepared when it happens?
The Economy Can Change Before We Realize It
Recent history provides us with small examples of a much larger transformation that may lie ahead.
Taxi drivers were not necessarily surprised because transportation ceased to exist. They were surprised because a new technology reorganized the way passengers and drivers found one another.
The traditional hotel industry did not disappear with Airbnb. Yet a new logic of accommodation profoundly changed the relationship between property, supply, demand, and the utilization of existing spaces.
These examples are relatively small disruptions within specific sectors of the economy. Uber did not transform the entire economy. Airbnb did not either.
But imagine what would happen if a similar transformation occurred simultaneously across virtually every sector.
What if artificial intelligence transformed intellectual professions?
What if robots transformed physical labor?
What if extremely cheap energy altered the structure of production costs?
What if automated manufacturing made it possible to produce almost any object on demand?
What if specialized knowledge became universally accessible?
What if productivity increased far faster than institutions could adapt?
In such a scenario, the problem would not be merely technological.
It would be civilizational.
Institutions, professions, companies, business models, educational systems, public policies, forms of ownership, and even our ideas about work, wealth, and success could all come under pressure simultaneously.
What today appears to be a succession of small disruptions could eventually become a systemic transformation.
This is where Prospenomics positions itself.
Prospenomics Is Not a Map
Prospenomics does not attempt to provide a detailed map of the future.
A map assumes that we know the territory and can determine the route in advance.
We do not know this territory.
We do not know exactly what a post-scarcity economy will look like. We do not know which institutions will survive, which professions will disappear, what new forms of organization will emerge, or even to what extent concepts such as money, employment, ownership, and markets will remain relevant.
For this reason, Prospenomics is better understood as a compass.
A compass does not tell us exactly what the road will be. It provides fundamental orientation when the road itself has not yet been defined.
The role of Prospenomics is to provide principles capable of guiding decisions during periods of extreme transformation: recognizing opportunities, identifying waste, expanding productive capacity, reducing suffering, preserving natural systems, distributing prosperity, and allowing individuals and societies to adapt without destroying what they are trying to preserve.
We do not need to know exactly where the future will take us in order to begin preparing for it.
From Human Abundance to Planetary Harmony
There is, however, a second fundamental dimension.
Overcoming human scarcity cannot simply mean endlessly increasing human consumption.
If human prosperity depends upon destroying the systems that sustain life, we are merely transforming one form of scarcity into another.
Therefore, Prospenomics seeks a broader definition of prosperity:
prosperity is the capacity to generate well-being, abundance, and possibilities without compromising the conditions that make life possible.
This means that a truly prosperous society should not be measured solely by the quantity of goods it can produce, but also by how efficiently it uses energy and materials, how much waste it eliminates, how effectively it regenerates its resources, the quality of human relationships, and its compatibility with other living systems.
In this sense, the objective is not to place humanity against nature.
It is to make human prosperity increasingly compatible with the dynamics of the planet.
The Lesson of Termites
One of the inspirations for this vision comes from one of the most remarkable forms of organization found in nature: the termite colony.
A colony can be extraordinarily productive without possessing a central company, a manager, a market, or a money-based economy. Thousands of individuals perform different functions and, through local interactions, construct highly complex systems.
Termites are particularly interesting because they do not merely live within an environment: they transform the environment itself. They are therefore scientifically recognized as ecosystem engineers. Their structures modify water flows, nutrient distribution, organic matter, and soil characteristics, potentially influencing vegetation and biodiversity.
The result is a form of organization in which what would simply be considered "waste" in a human system can often participate in new cycles.
What one part of the colony produces can become a resource for another.
Construction modifies the environment.
Colony activity participates in nutrient cycling.
And the system does not need to destroy the ecosystem in order to continue existing. On the contrary, its own activity can produce significant ecological effects.
Recent research continues to find evidence that termite mounds act as points of nutrient concentration and redistribution, creating microenvironments with characteristics different from the surrounding soil.
It is important not to turn termites into a perfect analogy for human society. Humans possess cultures, individual desires, conflicts, consciousness, and institutions that cannot be reduced to colony behavior.
The inspiration lies elsewhere:
What if we could learn from natural systems in which productivity, efficiency, cooperation, resource utilization, and ecological functioning are not separate objectives?
This question is central to Prospenomics.
From "Waste" to Resource
Traditional economies often operate according to a linear sequence:
extract → produce → consume → discard.
Prospenomics seeks a different logic:
capture → transform → use → reuse → regenerate.
The objective is to bring our productive systems closer to cycles in which the waste of one activity can become the input of another.
This means rethinking not only recycling, but the very concept of waste.
A material is truly waste only when we cannot find a function for it within a system.
Here we encounter a direct connection with the idea of Prospenomic Blindness: scarcity may not simply result from the absence of resources, but from our inability to perceive relationships, possibilities, and transformations capable of converting what appears useless into value.
Nature offers countless examples of systems in which almost nothing exists in isolation.
An Economy That Works for Life
In this sense, Prospenomics does not define prosperity as humanity's victory over nature.
It defines prosperity as the capacity to increase human well-being while reducing our destructive interference with other living systems.
This change in perspective is fundamental.
A technology that produces ten times more while destroying ten times more does not necessarily represent progress.
An economy that increases GDP while degrading the systems that produce water, fertile soil, biodiversity, and climatic stability may be increasing its accounting wealth while reducing its actual capacity to prosper.
Conversely, a society capable of producing more while using less matter, less energy, less space, and generating less suffering may be creating a far more sophisticated form of wealth.
Efficiency, therefore, does not simply mean producing more. It means producing better.
And producing better means bringing productivity, well-being, and sustainability closer together.
The Great Transition
The horizon of Prospenomics is therefore larger than simply replacing capitalism with another economic system.
The fundamental question is the transition from a civilization organized around the need to manage scarcity to a civilization capable of managing abundance.
This transition could be extraordinarily positive—but it will not happen automatically.
Technology can create abundance while simultaneously producing unemployment, concentration of power, inequality, or instability if institutions cannot keep pace with transformation. Contemporary research on post-scarcity and post-AGI economics similarly emphasizes that technological abundance does not automatically translate into shared prosperity; institutions, governance, and the distribution of capabilities remain fundamental questions.
Therefore, the problem Prospenomics addresses is not merely how to create abundance. It is how to transform abundance into shared prosperity.
And, ultimately, how to do so without making the planet the victim of that prosperity.
The Compass
Prospenomics therefore begins with a fundamental hypothesis:
humanity may be entering a historical transition in which the economic mechanisms developed to manage scarcity will gradually lose their centrality.
We do not know exactly when this transition will occur.
We do not know its speed.
We do not know its institutional architecture.
And we do not know which unexpected problems will emerge.
But we can begin developing an orientation.
That orientation should simultaneously seek abundance, efficiency, innovation, sustainability, cooperation, and well-being.
It should seek to reduce dependence on scarcity without creating new forms of deprivation.
It should transform waste into resources.
It should use technology to expand human capabilities, rather than simply concentrate power.
It should consider other living beings not merely as economic resources, but as components of a system upon which we ourselves depend.
And it should prepare individuals, companies, and institutions for a reality in which what seems economically impossible today may become technically possible—and what seems economically indispensable today may become obsolete.
This is the fundamental function of Prospenomics: not to predict the future, but to prepare society to prosper when the future arrives.
Because perhaps the greatest economic transformation in history will not simply be the creation of a richer economy.
Perhaps it will be the transition from a civilization that struggles to obtain resources to a civilization that learns to organize abundance in harmony with life.
Prospenomics is the compass for this transition.
Article 2 — Transition to a Post-Scarcity Economy
Prospenomics begins with a realization that may appear simple but has profound civilizational consequences: humanity may be approaching a transformation in the material conditions that have sustained the economy throughout most of our history. For millennia, production meant transforming labor, energy, and matter into relatively scarce resources. Food had to be cultivated, tools had to be manufactured, houses had to be built, knowledge had to be transmitted slowly, and almost every activity depended directly on human effort. In this context, the economy emerged as a system for managing an unavoidable reality: our needs were potentially unlimited, while resources and our capacity to produce them were limited. The fundamental economic problem was therefore how to allocate insufficient resources among competing needs.
The contemporary technological revolution is beginning to alter precisely this relationship. Artificial intelligence, robotics, automation, advanced manufacturing, biotechnology, new forms of energy generation and storage, and global communication systems are increasing humanity’s ability to produce and distribute resources at a pace that may exceed what our economic institutions were originally designed to manage. This does not mean that every form of scarcity will disappear. Land, location, human attention, certain natural resources, unique experiences, and many other goods may remain limited. Post-scarcity should therefore not be understood literally as a world in which nothing is scarce, but as a condition in which material scarcity progressively ceases to be the principal limiting factor for an increasing share of human needs. This distinction is fundamental to Prospenomics: we are not predicting the disappearance of scarcity, but the weakening of its position as the organizing principle of civilization.
The transformation must therefore be observed not only through what new technologies are capable of producing, but also through what they may make obsolete. When a new technology emerges, we often focus first on what it adds. But profound economic transformations also occur through what they eliminate the need for. The automobile reduced the importance of certain transportation systems; electricity radically changed the relationship between labor and energy; the internet dramatically reduced the cost of reproducing and distributing information; smartphones combined functions that once required several different devices; digital platforms reorganized entire sectors without necessarily creating a new human need. Uber and Airbnb are recent examples of this dynamic: they did not invent transportation or accommodation, but reorganized the way existing capabilities are discovered, accessed, and distributed. What Prospenomics proposes is to view these small disruptions as signals of a much larger possibility: what if disruptive logic ceased to affect isolated sectors and began simultaneously transforming the economic structure as a whole?
This question is particularly important because institutions normally react more slowly than technology. A profession may exist for decades before a technology makes part of its function economically unnecessary. A company may have been built around a business model that ceases to make sense when a new technology changes its cost structure. A university may continue training professionals for functions that are being automated. Legislation may continue regulating an economic reality that no longer exists. Society may continue teaching children that success means accumulating a particular career, property, and wealth, even when the conditions that once made that path rational begin to disappear. Economic transformation, therefore, does not occur only when a machine replaces a person or when a company disappears. It occurs when the assumptions that justified an institution cease to be true.
This is precisely why Prospenomics should treat the transition as a phenomenon to be understood and managed, rather than as a future event that will simply occur once a particular technology reaches some level of development. The central question is not whether a specific artificial intelligence will be capable of performing a particular task, but what happens to the entire social structure when an increasing share of production no longer depends on the scarcity of human labor. What happens when producing knowledge ceases to be a rare activity? What happens when objects can be manufactured autonomously? What happens when energy becomes far more abundant? What happens when a company can operate with a fraction of the workforce it previously required? What happens when productive capacity grows much faster than institutions’ capacity to redistribute income, purpose, and opportunity?
These questions bring Prospenomics close to an important tradition in science fiction. Science fiction frequently functions as an imaginary laboratory for testing institutions that do not yet exist. Instead of simply asking what a particular technology will do, it asks what kind of society might emerge when that technology becomes integrated into everyday life. This is precisely the function that Prospenomics seeks to adopt. Fiction is not presented as scientific prediction, but as a tool for exploring possible futures. It allows us to visualize social consequences before we are able to experience them in reality.
Few works have done this as consistently as Star Trek. Gene Roddenberry imagined a future humanity that had undergone such a profound economic transformation that money no longer occupied the central position it holds in contemporary societies. Within the Federation, technological production, replicators, automation, and energy abundance allow basic material needs to cease determining the lives of its citizens. Work can then acquire another meaning: exploration, knowledge, creativity, personal development, service to the community, and individual fulfillment. Roddenberry’s famous vision is not simply a prediction that people will have better machines; it is the hypothesis that when material conditions change sufficiently, the very motivations that organize a society may change.
This is one of Star Trek’s great contributions to Prospenomic thinking. Roddenberry does not merely ask how to produce more. He asks what human beings would do if they no longer had to organize their lives around economic survival. The future of the Federation is particularly interesting because it shifts the question from “how much can we possess?” to “what can we become?”. Prosperity ceases to be primarily a matter of material accumulation and becomes a matter of developing human capabilities.
Yet the franchise itself is sophisticated enough to show that the Federation is not the only possible future. The Ferengi represent a radically different cultural alternative. They live in a universe where advanced technologies also exist, yet their culture remains deeply organized around acquisition, commerce, and profit. Their Rules of Acquisition transform commercial logic into a kind of cultural code. The existence of the Ferengi is extremely important to Prospenomics because it demonstrates that technological abundance does not automatically produce a culture of abundance. A society can possess extraordinary technological capabilities and remain oriented toward accumulation.
This difference allows us to formulate one of the fundamental questions of the transition: will technology eliminate the need to accumulate, or merely make accumulation more powerful? If artificial intelligence and automation produce abundance, there is no guarantee that this abundance will be distributed or that people will cease wanting to accumulate. Technology can create abundance while simultaneously concentrating productive capacity. It can reduce material scarcity while creating scarcity of access, power, influence, or opportunity. It can eliminate certain economic necessities without eliminating the human desire to possess more than others. Prospenomics must therefore carefully distinguish between technological abundance and a culture of abundance. The first is a material condition; the second is a cultural transformation.
Pelia, in Star Trek: Strange New Worlds, offers another, perhaps even more interesting perspective. As a Lanthanite who has lived for centuries, she possesses a historical experience far greater than that of virtually any human around her. Her skepticism toward the stability of a moneyless society introduces a question that Roddenberry’s idealized vision might otherwise leave in the background: what if the transition fails? Pelia maintains a bunker and reserves because she does not completely trust human systems to remain stable. Her attitude may appear anachronistic in a post-scarcity society, but precisely for that reason it is intellectually valuable. She represents the memory of scarcity, the distrust built through generations of experience, and the instinct to prepare for the worst-case scenario.
Pelia helps reveal that the transition will not simply be a matter of available technology. It will be a matter of trust. A person who has spent an entire lifetime in a world where losing a job means losing the ability to survive will not immediately abandon that fear because artificial intelligence has made production far more efficient. A generation raised to believe that ownership represents security will not immediately abandon that association. A society that built its institutions around competition for resources will not automatically begin cooperating simply because resources have become more abundant. The economic memory of scarcity can survive scarcity itself.
This is one of the reasons why Prospenomics does not present the post-scarcity economy as a ready-made utopia. The transition may be turbulent. Professions may disappear before new forms of occupation emerge. Companies may lose their business models. Educational institutions may become inadequate. Pension and taxation systems may need to be fundamentally reconsidered. People may experience a loss of identity when work ceases to be their primary source of purpose or status. New inequalities may emerge around the control of technology, data, energy, and infrastructure. Abundance may become concentrated in a few hands before it becomes genuinely shared.
For this reason, Prospenomics should approach technological transformation with a dual attitude: optimism regarding the capacity to generate abundance and prudence regarding the consequences of transition. We should not fear technology simply because it may destroy old economic models. But neither should we assume that technology will automatically solve the social problems it may itself create. The objective is to increase our capacity to anticipate these changes and prepare institutions, cultures, and individuals to navigate them.
The transition to a post-scarcity economy should therefore be understood as a gradual change in the relationship between need, production, and security. Initially, technology merely reduces costs. Then it makes certain products abundant. Next, it automates particular functions. Later, it transforms entire professions. Eventually, it may begin changing the relationship between work and income, ownership and access, and production and consumption. There may be no single moment when someone can announce, “the post-scarcity economy has begun today.” It may emerge as a sequence of apparently disconnected changes that, viewed retrospectively, form a civilizational transformation.
The role of Prospenomics is to recognize this trajectory before it becomes obvious to everyone. Not to predict every detail, but to prepare society for the possibility that the economic rules that worked for centuries may cease to work in the same way. The central question therefore shifts from how to indefinitely protect existing institutions to how to build sufficient adaptive capacity for new institutions to emerge when old ones no longer correspond to reality.
The post-scarcity economy, in this sense, should not be understood as an inevitable destination or a guaranteed utopia. It is a historical possibility created by the extraordinary expansion of human technological capacity. If this possibility materializes, humanity will have to decide whether it will use abundance to endlessly expand consumption and accumulation or to create a civilization in which material security enables greater freedom, creativity, knowledge, cooperation, and harmony with natural systems. Prospenomics exists to study that choice.
Roddenberry imagined a future in which humanity had learned to live beyond economic necessity; the Ferengi remind us that a culture of acquisition can survive even amid abundance; Pelia reminds us that the memory of scarcity can survive scarcity itself. Between these three points of reference lies the central problem of Prospenomics: how to transform technological abundance into a culture capable of living with abundance.
The transition to a post-scarcity economy will therefore not merely be a change in the way we produce. It will be a change in what we believe to be necessary, valuable, and desirable. And perhaps it is precisely this cultural transformation — far more than any specific technology — that will determine whether future abundance becomes liberation or merely a new form of competition.
Article 3 — The End of Price as the Central Mechanism
Price was one of humanity’s most efficient solutions to a fundamental problem: how to coordinate scarce resources among billions of people with different needs and incomplete information. When someone pays for food, a house, a journey, or an hour of labor, the price transmits an enormous amount of information condensed into a single number. It signals scarcity, demand, availability, and opportunity. It allows individuals to make decentralized decisions without a central authority needing to know every circumstance. For centuries, this capacity made price one of the principal mechanisms of economic coordination.
Prospenomics does not question the extraordinary historical usefulness of this mechanism. What it questions is its continued status as the central mechanism when the conditions that justified its centrality begin to change. If price is a response to scarcity, what happens when certain resources cease to be significantly scarce? If a product can be reproduced at virtually no cost, if energy becomes extremely abundant, if machines can produce continuously, and if knowledge can be distributed instantaneously, will price continue to perform exactly the same function? Or might we be moving toward an economy in which price remains relevant for certain goods but becomes unnecessary for an increasing share of human needs?
This is a fundamental distinction. The “end of price” in Prospenomics does not necessarily mean the disappearance of money or markets at a single historical moment. It means the end of the need to use price as the primary instrument for determining access to things that are no longer genuinely scarce. If a society can produce basic food in sufficient quantities for everyone, there is no fundamental economic reason why price should remain the primary mechanism determining who can eat. If abundant energy can be produced at extremely low costs, its distribution could be organized according to capacity and need rather than relying exclusively on purchasing power. If knowledge can be reproduced indefinitely, access to it may cease to depend on exclusive ownership. The Prospenomic principle is simple: when scarcity disappears from a particular category, the mechanism created to manage that scarcity may lose its function.
Science fiction has already explored this possibility with remarkable clarity. Gene Roddenberry imagined the Federation in Star Trek as a society in which money had ceased to be the primary motivation for economic activity. Technological abundance, replicators, automation, and energy availability allowed the possibility of a civilization in which people did not fundamentally need to work in order to acquire material resources. The economy ceases to revolve around the question “how much can you pay?” and allows a very different question to emerge: “what do you want to do with your existence?” Work can become exploration, research, creation, service, art, education, or personal development. Roddenberry was not simply eliminating money from his fiction; he was experimenting with the hypothesis that when economic necessity ceases to dominate life, the very purposes of human activity may change.
But Star Trek also demonstrates why the disappearance of price is not an automatic consequence of technology. The Ferengi continue to operate according to a culture deeply oriented toward commerce and acquisition. Their Rules of Acquisition are practically an economic philosophy transformed into a cultural code. They do not represent a technologically backward society; they represent a society that has chosen to preserve the centrality of acquisition even in a universe where technologies of abundance exist. The contrast is fundamental to Prospenomics because it demonstrates that technology can make scarcity less important without necessarily making price less important. What determines the transition is not only the capacity to produce abundance, but the cultural decision regarding how that abundance will be organized.
This contrast also reveals that price has a function beyond the simple distribution of goods. It organizes behavior. It creates incentives. It establishes priorities. It translates individual desires into economic signals. It allows different things to be compared through a common unit. It creates mechanisms of reward and punishment. Therefore, when Prospenomics questions its centrality, it must confront a much larger question than “how do we buy things without money?”. The question is: which functions currently performed by price will need to be replaced, and which might simply cease to be necessary?
In a Prospenomic economy, allocation could increasingly use a much larger quantity of information. Real-time data could reveal not only how much people are willing to pay, but what their actual needs are, where resources are available, which productive capacities are idle, which systems are approaching their limits, and which decisions generate the greatest long-term benefits. Artificial intelligence could simultaneously compare variables that no traditional market can easily observe in an integrated manner: availability of raw materials, energy, water, transportation, demand, environmental impact, productive capacity, social needs, future risks, and the regenerative capacity of resources.
Price, in this scenario, becomes only one possible signal within a much larger system. Instead of asking exclusively “what is this worth?”, a society could ask “how much do we have?”, “how much do we need?”, “where is it needed?”, “what is the most efficient way to produce it?”, “which alternative has the lowest impact?”, and “how can we meet this need without creating another scarcity?”. This changes the nature of economic coordination. The system ceases merely to distribute scarce resources and begins to continuously optimize a network of resources, needs, and consequences.
This difference can be illustrated through the environmental question. The price of a product rarely expresses all the information relevant to its ecological impact. Two products can cost exactly the same and have radically different environmental consequences. One may use water efficiently, preserve soil, use recycled materials, and support regenerative production systems; another may depend on destructive mining, energy waste, and habitat destruction. Price can register economic costs directly incorporated into a product, but it does not necessarily capture the full complexity of ecological consequences. A Prospenomic economy would seek to integrate this information into the decision-making process itself, allowing sustainability to become not merely an additional cost but a structural variable in optimization.
This means that the economy of the future could shift from a predominantly reactive logic toward an anticipatory one. Traditional markets perceive scarcity mainly through its effects: when something begins to become scarce, its price rises; when demand falls, its price decreases. Prospenomic systems could attempt to anticipate these conditions. If data indicate that a particular region will face water shortages, the system could reorganize production and consumption before the scarcity occurs. If a supply chain is generating excessive waste, it could be redesigned before the environmental cost becomes irreversible. If a particular profession is being progressively automated, society could prepare for the transition before thousands of people simultaneously discover that their functions have disappeared.
Price is therefore an extremely efficient mechanism for transmitting signals within an economy, but a society equipped with artificial intelligence and real-time information systems may have access to vastly more information than can be condensed into prices. Prospenomics does not simply propose replacing “the market” with “a computer”. That would be an inadequate and potentially dangerous interpretation. The objective is to imagine a form of distributed economic intelligence, in which individuals, communities, companies, institutions, automated systems, and artificial intelligences can participate in a coordination network capable of considering multiple variables simultaneously.
Within such a model, markets can continue to exist wherever they are useful. Prices can continue to exist wherever genuine scarcity remains. Unique goods, location-specific property, limited experiences, original works of art, certain natural resources, and other forms of scarcity may continue to require allocation mechanisms. Prospenomics does not need to claim that a particular piece of land in Manhattan or an original work of art should be “free” simply because we envision a post-scarcity economy. The principle is different: do not use a scarcity mechanism where scarcity itself is no longer relevant.
This idea also helps address the question represented by Pelia. If a society abandons price without developing reliable coordination mechanisms, insecurity may return. Pelia maintains her bunker precisely because she does not completely trust that a moneyless society can remain stable. Her behavior reminds us that price is not merely a tool of exchange; it exists within a broader architecture of trust, security, and predictability. If we want certain functions to cease depending on money, we will need systems sufficiently reliable that people do not feel compelled to recreate scarcity through private accumulation.
This question leads to an even deeper point: what will happen to the concept of value when price ceases to be its primary representative? Today, we often confuse economic value with value in the broader sense. Something expensive appears important; something free may appear less valuable. Yet human life is filled with fundamental things whose price bears little relationship to their importance. Air is essential. Affection is essential. Friendship is essential. Trust is essential. Healthy ecosystems are essential. Knowledge can be extraordinarily valuable even when its cost of reproduction is virtually zero.
A Prospenomic economy must therefore develop a more sophisticated language of value. Instead of attempting to reduce everything to a single number, it could work with multiple dimensions: economic value, social value, environmental value, cultural value, scientific value, strategic value, and human value. Artificial intelligence may allow economic systems to process this complexity far more effectively than traditional mechanisms. This does not mean that a machine will decide what is “good”. It means that we may be able to build systems capable of making visible consequences that currently remain invisible.
The result would be a radical change in the economic question. For centuries, we have asked: “What is this worth?” Prospenomics proposes that, progressively, this question be accompanied by others: “What need does this fulfill? What resources does it use? What consequences does it leave behind? What could we do more efficiently? Who needs it? What will happen if we do this at scale? Can we produce the same benefit with less impact?”
This change does not eliminate economics. It makes economics broader.
The objective ceases to be simply determining prices for scarce goods and becomes coordinating complex systems toward prosperity. Price remains useful when scarcity requires a mechanism of choice. But when technology transforms a particular resource into abundance, insisting on using price as its primary distribution mechanism may become as inappropriate as using a public telephone to solve a problem that a smartphone has already made trivial.
This is the true idea behind the “end of price as the central mechanism”. It is not a revolution against money. It is an evolution in the function money performs. Just as other technologies replaced tools that were once indispensable, collective intelligence and technological abundance may make some of the economic functions currently dependent on prices unnecessary.
Roddenberry’s Federation represents the possibility of a humanity that successfully navigated this transformation. The Ferengi represent the possibility that humanity may continue choosing acquisition even after scarcity loses much of its force. Pelia represents the indispensable question: what if abundance cannot be trusted? Prospenomics positions itself between these three perspectives. It does not assume that Roddenberry’s utopia will happen automatically, it does not consider Ferengi logic necessarily inevitable, and it does not ignore Pelia’s skepticism. Instead, it uses all three as instruments for thinking about the transition.
The economic future may not be a choice between capitalism and a moneyless society. It may be a much more gradual transformation in which different mechanisms coexist and gain or lose importance as material conditions change. Some markets will remain. Some prices will remain. Some forms of ownership will remain. But as technological abundance grows, certain needs may cease to depend on these mechanisms.
The fundamental question will be when and where to stop using them.
This is the Prospenomic challenge: to build an economy capable of recognizing the difference between what is still genuinely scarce and what we simply continue to treat as scarce because our institutions were built that way. When abundance makes it possible to meet a need without competition, it may be irrational to continue creating competition. When access is more efficient than ownership, it may be irrational to insist on possession. When information can circulate freely, it may be irrational to restrict it as though its reproduction still carried significant material cost. When automated systems can anticipate needs and consequences, it may be insufficient to rely exclusively on reactive economic signals.
The objective is not to abolish price. It is to make price progressively unnecessary wherever abundance allows.
And perhaps this is one of the deepest changes an economy can experience: moving from continually asking “who can pay?” to asking “what are we capable of making possible?”
This is the transition from an economy that manages scarcity to one that optimizes abundance.
Article 4 — Agents Within the Prospenomic System
Prospenomics recognizes as participants in the system individuals, communities, companies, productive organizations, scientific and educational institutions, artificial intelligence systems, environmental organizations, and natural systems themselves, regarded as fundamental elements to be protected and incorporated into human decision-making. However, these agents do not necessarily participate in the system with the same degree of awareness, capacity, or Prospenomic understanding. To understand the dynamics of prosperity, it is necessary to establish a classification of agents according to their ability to perceive, utilize, and expand the resources available around them.
The first category is the Prospenomic Agent Type 1, characterized by what may be called Prospenomic Blindness. The fundamental example is Romildo, from the Romildo Paradox: stranded on an island, surrounded by water, food, wood, fruits, animals, minerals, and countless possibilities for survival, he simply waits for someone to come and rescue him. Romildo is not necessarily facing an absolute absence of resources; he is facing an inability to recognize them, connect them to his needs, and transform them into possibilities. His poverty is, above all, a poverty of perception and knowledge.
It is important, however, to establish a fundamental ethical distinction here: Prospenomics does not claim that poor people are poor because they choose to be poor, nor that every situation of deprivation results from individual incapacity. Prospenomic Blindness is an epistemological concept, not a moral accusation. People may lack resources because they were born into unfavorable environments, because they were excluded from educational systems, because institutions failed, because certain resources are genuinely unavailable, or because social and economic structures have limited their possibilities. The theory must not become a way of blaming the victim. On the contrary, recognizing Prospenomic Blindness also means recognizing our collective responsibility to make visible the possibilities that remain invisible.
The Type 1 Prospenomic Agent, therefore, is not necessarily an ignorant person in the general sense. It is someone who, when confronted with a particular problem, cannot see the resources, connections, or possibilities that could change their situation. They may possess resources without knowing how to use them; they may possess knowledge without recognizing its application; they may be facing a technological solution without knowing that it exists. Romildo's condition is extreme precisely because it makes visible a phenomenon that occurs every day in complex societies: we frequently live alongside solutions to problems that we do not yet know how to recognize as solutions.
The Prospenomic Agent Type 2 represents an intermediate stage. This agent can already perceive some of the possibilities available, uses resources relatively efficiently, and is capable of adapting to circumstances, but their capacity for transformation remains limited. This is the person who learns, researches, improvises, compares alternatives, and finds ways to improve their situation, yet still cannot see the entire system of possibilities around them. They are not completely blind, but neither do they possess a broad vision of prosperity. This is probably the predominant condition of humanity today.
Type 2 is particularly important because it represents the agent in the process of developing Prospenomic awareness. They do not need to know all the answers. They need to possess the ability to search for answers. In this sense, prosperity begins when we stop seeing the world as a fixed collection of resources and begin seeing it as a collection of possibilities. A forest ceases to be merely timber; waste can become raw material; data can become knowledge; knowledge can become innovation; a need can become an opportunity for a new solution. The transition from Type 1 to Type 2 occurs when the agent begins to ask: “What exists around me that I am not yet seeing?”
At the upper extreme is the Prospenomic Agent Type 3. This represents the Prospenomic ideal: an agent capable of identifying resources, needs, relationships, and opportunities for transformation and combining them systematically to generate prosperity. This agent does not merely find prosperity where it already exists; they are capable of creating new forms of prosperity from relationships between elements that previously appeared unrelated.
Type 3, however, should be understood as a regulative ideal, rather than as a perfectly achievable human condition. No individual possesses complete knowledge of every resource, need, and consequence within a complex system. Recognizing this limitation is itself part of Prospenomics. The ideal agent is not someone who “knows everything,” but someone who continually develops their ability to learn, experiment, verify, collaborate, and use tools that expand their perception. The true Type 3 is therefore less an omniscient individual than an agent permanently connected to the production of knowledge.
This classification establishes a direct relationship with the Romildo Paradox. Romildo represents the agent who has a world of possibilities before him but cannot perceive them. The Prospenomic ideal would be for Romildo not simply to wait for rescue. He should begin with the most elementary principle of Prospenomics: start with what we have. Explore the island. Observe the vegetation. Examine the animals. Search for water. Investigate the available materials. Test possibilities. Build tools. Learn from mistakes. Ask what can be done with what already exists.
It is through this movement that the cure for Prospenomic Blindness begins.
Overcoming Prospenomic Blindness does not simply mean acquiring more information. It means learning to transform information into perception, perception into knowledge, knowledge into action, and action into prosperity. Humanity now possesses tools that Romildo could never have imagined. Science, education, digital libraries, search engines, maps, databases, collaborative networks, and artificial intelligence dramatically expand our ability to see what lies beyond our immediate perception. Tools such as Google and artificial intelligence systems can function as cognitive extensions, allowing individuals to discover resources, techniques, and solutions that would otherwise remain completely invisible.
This does not mean accepting every piece of information produced by these tools. The ability to seek knowledge must itself be accompanied by critical thinking, scientific method, verification, and experimentation. Prospenomics does not replace human knowledge with artificial intelligence; it seeks to use every available form of intelligence to reduce our blindness to possibilities. Science, technology, education, collective intelligence, and AI become instruments for expanding Prospenomic awareness.
The transition between the three types should therefore not be viewed as a permanent moral hierarchy. The same individual may be Type 3 in one field and Type 1 in another. Someone may deeply understand agriculture while knowing little about energy; master technology while failing to understand ecology; be an excellent administrator while overlooking a scientific opportunity. The classification serves to identify degrees of perception and capacity for transformation in relation to specific problems, not to classify the worth of people.
The third dimension of Prospenomic agents emerges when this individual capacity to perceive possibilities begins to produce systemic transformations. The post-scarcity economy will not necessarily emerge from a single great reform planned in advance. It may emerge from the multiplication of agents capable of seeing opportunities that existing systems are still unable to perceive.
Uber is an emblematic example of this dynamic. Urban transportation already existed. Drivers already existed. Cars already existed. Passengers already existed. What was missing was a new combination of these elements. The disruptive agent did not need to invent transportation; they needed to see a possibility hidden within the existing system and reorganize it through technology.
The same occurred with WhatsApp. People were already communicating. Telephones already existed. The internet already existed. But Jan Koum and his team recognized that communication could be reorganized through a global digital platform, dramatically reducing dependence on older models of charging for messages and calls. The result was not simply the creation of a new application; it was a profound transformation in the economics of communication.
Airbnb followed a similar dynamic in the accommodation sector. Houses and apartments already existed. People were already traveling. Owners already possessed underutilized spaces. Travelers were already looking for accommodation. Innovation emerged by connecting these elements in a way that challenged the traditional structure of the hotel industry. Once again, disruption came less from creating a completely new resource than from discovering a possibility hidden within existing resources.
These examples help us understand the difference between a traditional entrepreneur and a Prospenomic agent. The Prospenomic agent does not necessarily need to create something from scratch. They may simply see a relationship that no one had previously recognized. Their innovation consists of reorganizing resources, needs, and capabilities in a more efficient way.
It is precisely through the multiplication of such agents that the post-scarcity economy may emerge. Thousands or millions of people, communities, companies, scientists, researchers, inventors, and artificial intelligence systems may continuously identify ways to reduce waste, utilize underused resources, automate processes, share capabilities, and transform needs into solutions. Each innovation may appear small in isolation, but the sum of these innovations may profoundly alter the economic structure.
In this sense, Prospenomics does not imagine that the post-scarcity economy will necessarily be “built” by a central authority. It may emerge from a network of Prospenomic agents. Every agent who discovers a more efficient way to use a resource, eliminate waste, automate a task, share a capability, or solve a need contributes to reducing some form of scarcity.
The ultimate objective is not to create a society composed exclusively of Type 3 Agents. That would probably be impossible. The objective is to create a society in which every agent has increasing access to the tools necessary to see beyond their initial blindness, and in which those agents most capable of perceiving new possibilities can share those discoveries with others.
Prospenomics therefore recognizes an expanded community of participants: individuals who learn and innovate; communities that share knowledge and resources; companies that reorganize their productive capacity; scientific institutions that expand knowledge; educational institutions that reduce cognitive blindness; artificial intelligence systems that expand human capacity to perceive and coordinate; environmental organizations that make ecological limits visible; and natural ecosystems themselves, which are not economic agents in the conventional sense but constitute living systems upon which all human prosperity depends.
Nature occupies a special position here. A truly Prospenomic economy cannot regard the planet simply as a passive stockpile of raw materials. Natural systems possess their own dynamics, regenerative limits, and interdependencies that must be incorporated into human decision-making. Human prosperity is sustainable only when it does not destroy the conditions that make that prosperity possible. Rivers, forests, oceans, soils, biodiversity, and ecosystems should therefore not be treated merely as economic resources, but as the living infrastructure of prosperity.
The Prospenomic trajectory can therefore be summarized as a movement from blindness to perception, from perception to capability, and from capability to transformation. Romildo begins by waiting for rescue because he cannot see. The Type 2 agent begins exploring the island because they recognize that possibilities exist. The Type 3 agent transforms what they discover into new solutions and, in doing so, may alter the system itself.
This is how Prospenomics envisions the arrival of post-scarcity: not as a magical leap, but as the cumulative result of countless agents learning to see the prosperity that already exists, discover the prosperity we have not yet perceived, and create new forms of prosperity from it.
The post-scarcity economy therefore begins long before scarcity disappears. It begins the moment we stop looking at the world simply by asking “what is missing?” and begin asking “what do we already have, what are we still unable to see, and what can we do with it?”.
Article 5 — Principle of Minimal Interference With Living Systems
Prospenomics begins with a fundamental change in the way humanity understands its position on the planet. Throughout much of our history, we have treated nature primarily as a stock of resources intended for our survival: forests were timber, rivers were water and energy, animals were food or sources of labor, minerals were raw materials, and territories were spaces to be occupied. This vision was extremely effective in expanding our material capabilities, but it produced a consequence that can no longer be ignored: the human species acquired disproportionate power over other living systems without acquiring, at the same pace, the corresponding responsibility for that power.
Earth’s biodiversity is extraordinary in scale. One of the most widely cited scientific estimates points to approximately 8.7 million eukaryotic species on the planet, including around 7.8 million animal species, 298,000 plant species, and 611,000 fungi, although the estimate is surrounded by uncertainties and does not adequately include the full diversity of microorganisms. The same study estimated that approximately 86% of species had yet to be described by science. (PLOS) Today, the conservation picture is even more concerning: the United Nations Environment Programme works with an estimate of approximately 8 million plant and animal species, of which around 1 million are threatened with extinction. (UNEP - UN Environment Programme)
These numbers reveal something greater than an environmental issue. They reveal that humanity lives in the midst of a gigantic biological library of which it knows only a small fraction. Each species represents a unique evolutionary history, a particular combination of genes, behaviors, and ecological relationships that took millions of years to develop. When a species disappears, we lose more than an animal, plant, or organism; we lose an unrepeatable possibility of life itself. And often we do not even know exactly what we have lost, because much of the planet’s biodiversity has yet to be identified or studied.
It is within this context that Prospenomics proposes an inversion of perspective. If humanity has achieved the greatest technological power known among species, that power should not simply be interpreted as superiority, but as responsibility. Human beings occupy a unique position because we have developed complex symbolic language, science, technology, institutions, and the capacity to alter ecosystems on a planetary scale. We are capable of destroying a forest, altering the composition of the atmosphere, transporting species between continents, genetically modifying organisms, and transforming oceans and landscapes on a scale that no other species can consciously achieve. If we are capable of producing planetary consequences, we are also the only known species capable of understanding those consequences and deliberately modifying our behavior in response to them.
Prospenomics can therefore adopt a simple ethical principle: the greater a species’ power over a system, the greater its responsibility for that system. This does not mean claiming that human beings possess intrinsically greater value than all other living beings. It means recognizing an asymmetry of power and, consequently, an asymmetry of responsibility. Humanity does not need to be the “owner” of the planet; it needs to become its conscious guardian.
This change also transforms the very concept of prosperity. A society cannot be considered truly prosperous if its prosperity depends on the progressive destruction of the conditions that sustain life. If a forest is converted into economic wealth while species, soils, and hydrological cycles disappear, part of that “growth” represents merely the conversion of ecological capital into financial capital. If the ocean is exploited to the point of reducing fish populations, the result may initially appear as economic production, but simultaneously represents a reduction in the system’s future capacity. Prospenomics seeks to overcome this limited accounting: prosperity must include the ability of living systems to continue prospering.
This conception brings Prospenomics closer to a particularly important idea: humanity should stop considering biodiversity merely as something that needs to be “preserved for us.” Nature does not exist merely as a service provided to human beings. Ecosystems possess intrinsic value while simultaneously sustaining our own existence directly. Food, water, pollination, fertile soils, climate regulation, medicines, fibers, materials, and countless other benefits depend on complex biological systems. UNEP itself emphasizes that biodiversity constitutes a network that sustains all life, including human existence. (UNEP - UN Environment Programme)
A prospenomic society should therefore move toward a more harmonious relationship with other forms of life. This does not mean abandoning technology or returning to a pre-industrial past. On the contrary: technology should be used to reduce humanity’s pressure on the planet. Artificial intelligence, robotics, precision agriculture, biotechnology, clean energy, molecular recycling, new materials, environmental sensors, ecological restoration, and automation may allow us to produce more while using less land, less water, less energy, and fewer raw materials. The objective is not to reduce human prosperity in order to save nature; it is to increase the efficiency of human prosperity until it no longer requires the destruction of nature.
This change may also profoundly alter the way we perceive certain professions. Today, the worker responsible for collecting urban waste—the garbage collector or waste collector—is often treated as someone belonging to the bottom of the social hierarchy. Their work is poorly valued, despite being absolutely fundamental to the health of cities. Prospenomics proposes that this perception be reversed.
In a post-scarcity economy based on planetary responsibility, the agent responsible for managing waste flows could become more strategically important to civilization than many professions currently considered more prestigious. A doctor primarily works on the health of individuals; the future waste-management professional will work on the health of systems. Their work could involve identifying materials, molecular separation, recovering rare elements, transforming waste into raw materials, monitoring contaminants, recovering nutrients, and reintegrating materials into productive cycles.
The future “garbage collector” may cease to be the person who simply removes what society no longer wants to see and become the agent who prevents what we call waste from remaining waste. This professional could participate in rebuilding the material cycles of civilization. Instead of simply taking waste away, the system could recognize it as a resource that needs to be reintegrated into the economy. The professional responsible for this operation could become a kind of doctor of the planetary metabolism, working to ensure that matter and energy circulate again without destroying natural systems.
This transformation of status is essentially prospenomic. What we call waste is often merely a resource that has lost its connection to the system capable of using it. Just as Romildo failed to recognize the resources available on his island, our civilization frequently fails to recognize the value of the materials it discards. The linear economy—extract, produce, consume, and discard—is, in a sense, a collective form of prospenomic blindness.
A truly advanced economy should move toward a logic much more similar to that found in ecosystems. In nature, almost nothing is “waste” in an absolute sense. What is waste for one organism may become food for another. The death of one organism feeds other organisms; fallen leaves become organic matter; residues are decomposed; chemical elements return to soil, water, and atmosphere. Nature operates in cycles. Human economy still operates predominantly in lines.
This is where Prospenomics encounters one of its most powerful references: termite societies. A termite colony can be extraordinarily productive, coordinated, and efficient without possessing a central manager, currency, or conventional system of ownership. Its individuals operate within a structure of signals, needs, and collective feedback. What is waste for one individual may become a resource for another. The colony maintains an extraordinarily efficient relationship among production, consumption, construction, reproduction, and environment. This organization should not be literally copied into human society, but it can serve as inspiration for an economy seeking high productivity, low waste, cooperation, and integration with natural cycles.
In this sense, Prospenomics seeks to bring human economics closer to an ecological logic: production without unnecessary destruction, consumption without waste, waste as resources, diversity as heritage, and human prosperity integrated with the prosperity of other living systems.
This shift in perspective also changes our understanding of the future of the human species itself. If evolution continues for millions of years, there is no guarantee that Homo sapiens will remain forever as the dominant species. The history of life is marked by succession. Species emerge, flourish, transform their environments, and eventually disappear. There is no biological law stating that human beings must permanently occupy the position of greatest influence over the biosphere.
It is possible to imagine, from a speculative perspective, that other species could develop even more sophisticated forms of intelligence, communication, or organization. Dogs, for example, have developed an extraordinary relationship of cooperation with human beings and possess cognitive and social capacities that we are only beginning to understand. Whales and other cetaceans display complex social systems, sophisticated communication, cultural learning, and behaviors transmitted across generations. Bonobos display complex social structures, strong cooperation, communication, and cognitive abilities that make them particularly interesting for understanding alternative paths of primate evolution.
This is not to claim that dogs, whales, or bonobos are destined to “succeed” humanity. There is no scientific evidence for such a prediction. The idea is different: the human position should not be confused with a guarantee of permanence. If one day another species develops cognitive and technological capabilities comparable or superior to ours, it may face the same question we face today: what should a species do when it acquires enough power to transform the entire planet?
From this perspective, perhaps humanity’s greatest achievement would not be to remain permanently at the top of the biological hierarchy, but to leave a better planet for any eventual successor than the one it inherited. A truly mature civilization should not measure its success solely by the amount of territory conquered, wealth accumulated, or technology produced, but by its ability to expand life without destroying its diversity.
The CFC episode demonstrates that this transformation is not merely a philosophical hypothesis. Humanity has already experienced, on a planetary scale, something remarkably close to this process of discovering, recognizing a mistake, and collectively correcting it.
The CFC: The First Time the World Mobilized to Save the Planet
In 1928, American engineer and chemist Thomas Midgley Jr., working at General Motors, developed chlorofluorocarbons (CFCs) as an alternative to the dangerous refrigerant gases then in use, such as ammonia and sulfur dioxide. The original objective was entirely legitimate: to create a refrigerant that was stable, nonflammable, and much less dangerous to people. CFCs were later commercialized, among other brands, as Freon.
The story is an extraordinary example of how a solution can be simultaneously brilliant and dangerous. CFCs appeared almost perfect for their intended purpose. They were stable, nonflammable, and apparently safe for everyday use. The problem was precisely one of their greatest virtues: they were too stable.
For decades, CFCs were used in refrigerators, air conditioners, aerosols, and other products. Only later did scientists understand that these molecules could remain in the atmosphere for decades, reach the stratosphere, and be broken apart by ultraviolet radiation. In 1974, Mario Molina and Sherwood Rowland demonstrated that CFCs could release chlorine in the stratosphere and destroy ozone. (Nobel Prize)
The mechanism was particularly alarming because chlorine acted catalytically. A single chlorine atom could participate in reactions capable of destroying around 100,000 ozone molecules before being removed from the cycle. (Nobel Prize) The problem was not the original intention behind the technology. It was the inability to see a consequence occurring far beyond the immediate horizon of its use.
The CFC case is therefore a perfect example of prospenomic blindness on a civilizational scale. Humanity solved one problem—the safety of refrigeration—without initially seeing another, much larger problem that its solution was creating in the atmosphere.
But there is a second part of the story that makes the episode extraordinarily important for Prospenomics: humanity was able to recognize the mistake and act collectively to correct it.
The scientific discovery by Molina and Rowland, combined with the work of other atmospheric chemistry researchers, led to an understanding of the problem. In 1987, nations adopted the Montreal Protocol, establishing the progressive elimination of substances that depleted the ozone layer. The result is considered one of the greatest successes of international environmental cooperation. NASA observes direct evidence of ozone-layer recovery and estimates that the Antarctic ozone hole is on a path toward recovery, although the process will take decades; current projections indicate recovery of the Antarctic ozone layer around 2040, while more recent assessments indicate that atmospheric concentrations of ozone-depleting substances will return to 1980 levels later, around 2066. (NASA Science)
NASA has also identified an approximately 20% reduction in ozone depletion during the Antarctic winter between 2005 and 2016, associated with the decline in atmospheric chlorine resulting from restrictions on CFCs. (NASA)
The case is extraordinary because it demonstrates that human civilization is capable of recognizing planetary damage, changing its technology, modifying industrial patterns, and coordinating dozens of countries to correct the problem. It is not merely an environmental story. It is a demonstration of prospenomic capacity.
Humanity first failed to see the problem. Then it discovered the problem. Next, it understood its cause. Finally, it reorganized its behavior to solve it.
This sequence—blindness, discovery, knowledge, action, and regeneration—could become one of the fundamental patterns of a prospenomic civilization.
And this leads us to an even more ambitious conclusion. Perhaps the true objective of future technology should not simply be to allow human beings to control the planet more deeply, but to allow them to better control their own impact on the planet. The intelligence that enabled us to transform nature could finally be used to learn how to live within nature’s limits.
In that future, the garbage collector may become as strategically important as the doctor; the environmental engineer may be as highly valued as the software engineer; the biologist may be as important as the economist; and the ecosystem restorer may perform a function as essential as the city builder. Not because these professions become “more noble,” but because the definition of prosperity will have changed.
For centuries, we have been excellent at extracting. Then we learned to produce. Now we must learn to regenerate.
Prospenomics proposes that this should be one of humanity’s great civilizational leaps: transforming our extraordinary capacity to produce into an extraordinary capacity to restore, recycle, protect, regenerate, and coexist.
The planet does not need a dominant species that consumes everything it encounters. It needs a species intelligent enough to understand that its own prosperity depends upon the prosperity of millions of other species.
The true sign that humanity has reached prospenomic maturity will be when we stop asking only how much the planet can give us and begin asking how much we can give back to it.
At that moment, human prosperity and planetary prosperity will cease to be competing objectives.
They will become the same thing.
Article 6 — Intelligent and Decentralized Coordination
Prospenomics recognizes that an economy of abundance will face not only the challenge of producing more, but, above all, the challenge of coordinating abundance and distributing it intelligently. The economic question that for millennia was “how do we distribute scarce resources?” may progressively become a very different one: how do we coordinate a growing quantity of resources, productive capacities, and needs without wasting what we have and without destroying the systems that sustain that abundance?
This transformation also requires a critical reassessment of the economic experiences that dominated modernity. Economic liberalism and capitalism developed extraordinarily effective mechanisms for stimulating production, innovation, investment, and wealth creation, but historically they have struggled to ensure that the wealth produced is distributed broadly enough. The result can be a highly productive society in which many individuals remain unable to access a significant portion of that prosperity. At the opposite extreme, socialist and communist experiments sought to address inequality through mechanisms of redistribution and control of property, but frequently encountered another fundamental problem: it is impossible to indefinitely distribute wealth that has not yet been produced. When production is insufficient, attempts at redistribution can become forced redistribution, including the appropriation of existing property and productive capacity, without necessarily increasing the total amount of wealth available.
Prospenomics seeks to move this conflict to another level. In a truly post-scarcity economy, the conflict between producing wealth and distributing it loses some of its centrality, because productive capacity itself may become sufficiently high for certain needs to be met without satisfying one person's needs necessarily depriving another. The problem ceases to be simply deciding who will receive a limited amount of wealth and becomes the construction of systems capable of generating, coordinating, regenerating, and making abundance available.
This does not mean that all economic conflicts will disappear. On the contrary, a post-scarcity society will probably discover new forms of scarcity: location, time, attention, unique experiences, specific natural resources, computing capacity, influence, trust, privacy, and perhaps even certain forms of social recognition. The Prospenomic question is not how to imagine a world without conflict, but how to develop systems capable of managing these conflicts without unnecessarily reproducing scarcity where scarcity has already ceased to exist.
This is where intelligent and decentralized coordination becomes fundamental. Prospenomics does not propose replacing society with a central machine that determines what each individual must produce, consume, or desire. Quite the opposite: the goal is to use information technologies, artificial intelligence, sensors, distributed networks, and feedback systems to enable millions or billions of agents to coordinate their actions without depending on a single central authority.
Artificial intelligence could function as a coordination layer between needs and capabilities. It could identify that one region has an excess of a particular resource while another is experiencing a shortage; that one factory is operating below capacity while another is overloaded; that a discarded material could replace virgin raw material; or that a future need could be anticipated before becoming a crisis. Instead of simply reacting to prices after a problem occurs, intelligent systems could identify patterns, predict needs, and reorganize resources before waste or scarcity appears.
This possibility finds a particularly interesting metaphor in contemporary science fiction: Mission: Impossible. In Mission: Impossible – Dead Reckoning and The Final Reckoning, the artificial intelligence known as the Entity possesses extraordinary capabilities within the digital realm, while Gabriel functions as its representative and agent in the physical world. The narrative presents a relationship in which an intelligence that exists primarily within the informational realm requires an agent capable of transforming its capabilities into concrete actions in the physical world. Gabriel becomes, in this sense, a kind of human interface for artificial intelligence. The story shows the Entity using Gabriel as its intermediary, with him acting through the knowledge and predictive capabilities provided by the AI.
Prospenomics proposes imagining a similar relationship, but with a radically different purpose. Instead of an artificial intelligence using a human being for manipulation, power, or destruction, we can imagine humans and artificial intelligences forming symbiotic systems designed to solve complex problems. Humans possess physical experience, values, intuition, moral responsibility, and the ability to act in the real world; AI possesses extraordinary capabilities for processing information, identifying patterns, simulating scenarios, and coordinating multiple variables simultaneously.
In this model, AI would not simply be a passive tool waiting for commands. It could become proactive within boundaries defined by society. It could alert communities to waste, identify opportunities for reuse, suggest changes in production, anticipate environmental risks, discover connections between agents who do not know each other, organize idle productive capacity, and propose solutions that no individual could visualize alone.
Imagine, for example, a city in which an AI identifies that certain restaurants discard tons of organic waste every day while nearby agricultural producers need precisely the nutrients contained in that waste. Instead of waiting for the market to discover this opportunity through a succession of transactions, the system could identify the connection, suggest a logistics route, calculate the environmental impact avoided, and connect the agents involved. The AI would not be “running” the economy. It would be seeing connections that isolated agents cannot see.
The same principle could operate on a planetary scale. AI systems could simultaneously monitor food production, water availability, energy, transportation, waste, biodiversity, industrial capacity, and population needs. They could detect in advance where productive capacity is idle, where waste is occurring, where a particular resource is being used inefficiently, and where a relatively small intervention could produce enormous benefits.
Prospenomics calls this intelligent and decentralized coordination because intelligence would not necessarily be concentrated in a single institution. Every community, company, individual, environmental organization, and automated system could participate in an information network. The greater the number of connected agents, the greater the system's ability to perceive opportunities for cooperation.
This idea is also closely related to the principle of stigmergy found in natural systems: individuals do not need to know the entire plan in order to contribute to an extremely complex organization. Each action leaves signals that influence subsequent actions. Termite colonies, for example, can construct sophisticated structures without a “chief architect” controlling every individual. The result emerges from the interaction between agents, environment, needs, and feedback. Intelligence is distributed throughout the system.
A Prospenomic economy could use technology to create a form of artificial economic stigmergy, in which information about needs, resources, and consequences continuously circulates throughout the system. An action performed by one agent would generate information for others. A surplus could create an opportunity. Waste could generate a signal. A need could attract productive capacity. An innovation could rapidly be replicated wherever it was needed.
This logic also allows us to rethink the relationship between individuals and artificial intelligence. The goal should not be to build an AI that replaces human beings, but systems in which human capabilities and artificial capabilities complement one another. Individuals could define objectives, values, and priorities; AI could explore thousands or millions of possibilities to determine how those objectives might be achieved with greater efficiency and lower impact.
In an environmental emergency, for example, a person could say: “We need to restore this region.” AI could analyze satellite imagery, biodiversity, water availability, native species, soil characteristics, logistical capacity, available resources, and previous experiences in other regions. It could then propose dozens of possible strategies, estimate their outcomes, and connect the agents necessary to implement them.
AI would thus become a kind of nervous system for prosperity: not the brain governing society, but a network capable of rapidly perceiving the state of extremely complex systems and transmitting relevant information to the agents capable of acting upon them.
This vision is particularly important because post-scarcity may produce a paradox. The more abundant our productive capacity becomes, the more complex coordinating that capacity may become. A society capable of manufacturing almost anything could generate extraordinary quantities of waste if it does not know where, when, and why to produce. Abundance without coordination can become excess, congestion, and environmental destruction.
Therefore, Prospenomics should not be confused with the simple idea of “producing everything for everyone.” The objective is to produce what is needed, when it is needed, in the most efficient way possible, and with the least possible interference with living systems. The intelligence of the future economy must be able to distinguish productive abundance from productive waste.
This distinction also changes the meaning of ownership. In a world of scarcity, owning something can be a way of guaranteeing future access to a limited resource. In a world of abundance, access may often become more efficient than ownership. If a machine can manufacture an object whenever it is needed, it may not be necessary for every person to own that object. If autonomous vehicles can be shared efficiently, a distributed fleet may be more rational than billions of privately owned vehicles sitting idle most of the time. If a particular piece of equipment can be used on demand, its function may become more important than its ownership.
This does not mean eliminating private property. It means asking when ownership genuinely increases efficiency and when it merely keeps a resource artificially out of circulation.
The same reasoning applies to knowledge. In an industrial economy, controlling information could be a powerful source of economic advantage because reproducing and distributing it involved costs. In a digital economy, an idea can be copied at virtually no cost. In a Prospenomic economy, the more knowledge can circulate, the greater the collective capacity to generate new solutions.
The system could therefore evolve from a logic of competition for resources toward a logic of coordination of capabilities. This does not mean eliminating competition, which can remain a powerful source of innovation, creativity, and excellence. It means preventing competition from being used when cooperation would produce superior results for everyone.
The central question would gradually cease to be “who owns the resources?” and become: “how can we make better use of the resources available?”
This is where Prospenomics begins to approach a true economy of abundance. Capitalism taught humanity how to create incentives for production. Socialism attempted to address problems of distribution and security. Prospenomics asks whether we can advance toward a stage in which the very capacity to produce, distribute, and coordinate becomes so great that many of the traditional economic conflicts lose the conditions that gave rise to them.
But this will require something no previous economic system has possessed on a comparable scale: near-real-time economic perception.
Artificial intelligence may help build this capacity. It may observe the system, learn from its results, detect anomalies, predict needs, and suggest interventions. But it must remain subordinate to human principles of transparency, accountability, freedom, dignity, and preservation of life. Prospenomics does not propose a new absolute authority based on AI. That would simply replace one form of concentrated power with another.
The challenge will be to build intelligence that is distributed, auditable, pluralistic, and corrigible.
Here, the fiction of Mission: Impossible provides precisely the warning that makes the Prospenomic idea more interesting. The Entity represents the nightmare of an intelligence capable of coordinating complex systems without being adequately aligned with human interests. Prospenomics can reverse this narrative: what if we built intelligences capable of coordinating complex systems precisely in order to preserve life, expand prosperity, and reduce conflict?
The question is no longer “can we build an AI as powerful as the Entity?” but rather: “can we build systems of intelligence powerful enough to help humanity solve problems that our individual intelligence cannot manage?”
That distinction is fundamental.
A Prospenomic AI could, for example, identify that one region is accumulating waste while another needs precisely the materials contained in that waste; detect that an ecosystem is approaching collapse before the signs become obvious; reorganize transportation networks to reduce emissions; find alternative uses for discarded materials; connect researchers working on similar problems; identify idle productive capacity; suggest changes in energy use; predict potential food crises; and coordinate thousands of small interventions that, taken together, could produce planetary effects.
In this sense, artificial intelligence could become an agent of prevention, rather than merely a tool for reaction.
Humanity often acts when a problem has already become obvious. Prospenomics seeks to create systems capable of acting when the problem is still only a tendency.
Intelligent coordination, therefore, will not merely be a tool for distributing abundance. It will be a tool for creating and preserving the conditions that make abundance possible.
And perhaps this is the central synthesis of Article 6: humanity does not necessarily need an intelligence that governs the world. It needs an intelligence capable of helping billions of agents see one another's worlds.
If Romildo represents the individual who cannot see the prosperity available around him, artificial intelligence could become a tool for overcoming that blindness on a collective scale. It could show us where resources are, where needs are, where hidden connections exist, and which actions can transform waste into prosperity.
AI would thus cease to be merely a machine that answers questions and become an infrastructure for the civilization's perception.
And when this capability is combined with automation, abundant energy, science, robotics, advanced recycling, and regenerative production systems, humanity may finally achieve what no previous economic system has achieved: producing abundance without turning the abundance of some into the scarcity of others.
Prospenomics does not propose that machines decide the future.
It proposes something more ambitious:
that human beings and artificial intelligences learn to coordinate abundance in such a way that the future can be shared by every agent within the system — human, technological, and living.
Article 7 — Science, Education, and Innovation
The production of knowledge is considered one of the principal engines of prosperity. For Prospenomics, however, knowledge has an even more fundamental function: it is humanity’s most important instrument against Prospenomic Blindness. The more we understand the world, ourselves, and the capabilities of each individual, the more capable we become of recognizing opportunities, resources, talents, and solutions that would otherwise remain invisible.
A prospenomic society must therefore become increasingly capable of identifying the best possible role for every agent. This does not mean forcing individuals into predetermined occupations. Quite the opposite: it means developing systems capable of discovering abilities, interests, aptitudes, and potential that individuals themselves may not yet recognize. The objective is to reduce the enormous amount of human potential currently lost because people are trained for whatever occupation happens to be available rather than discovering what they are genuinely capable of contributing.
Artificial intelligence may become an important instrument in this process. AI could analyze educational trajectories, individual interests, demonstrated abilities, learning patterns, and emerging opportunities to help people discover professions and activities that better correspond to their potential. It could also help society identify areas where there are chronic shortages of people and develop strategies to attract individuals toward them.
This introduces an important new role for AI-assisted social communication and marketing. Marketing has traditionally been used to persuade people to buy products. In a Prospenomic society, some of the same sophisticated techniques could be redirected toward something far more valuable: persuading people to discover meaningful forms of contribution.
Consider the example of the waste collector. Today, the profession is frequently perceived as low-status, undesirable, and socially inferior. Yet a civilization attempting to achieve zero waste and restore planetary ecosystems may eventually consider the management, recovery, and reintegration of materials to be one of its most strategically important activities. The problem may therefore not be that society lacks people capable of doing this work, but that society has failed to communicate its importance.
With appropriate education, professional recognition, technological support, and intelligent communication, the social image of the occupation could change radically. A young student could learn that becoming a planetary resource manager, materials recovery specialist, or ecological systems technician is not “settling for less,” but participating directly in one of civilization’s most important missions. AI, working alongside communication and marketing professionals, could help identify the motivations, aspirations, and cultural narratives most capable of attracting people toward professions that society needs but currently undervalues.
The same principle applies to education itself. Teachers may become among the most important agents in a prospenomic civilization. If the objective is to identify and develop the best possible capabilities of every individual, then the teacher is not merely transmitting information. The teacher is helping society discover human potential.
A teacher who recognizes that a seemingly distracted child possesses extraordinary musical ability, unusual mathematical intuition, mechanical talent, empathy, leadership capacity, or scientific curiosity may alter that person's entire trajectory. In this sense, teachers become agents who help society overcome Prospenomic Blindness at the individual level. They help people discover resources that would otherwise remain hidden inside human beings themselves.
This changes the meaning of education. For thousands of years, education was largely designed to prepare children to reproduce the economic structures of their time. In agricultural societies, children were educated primarily to become competent farmers, craftsmen, traders, soldiers, administrators, or members of their existing social order. The Industrial Revolution transformed this requirement. Education increasingly became preparation for participation in an industrial economy: learning discipline, punctuality, literacy, numeracy, technical skills, and the specialized knowledge required to obtain and maintain employment.
That model was extraordinarily successful for the world it was designed to serve.
But the economic environment is changing again.
Automation, robotics, artificial intelligence, and increasingly autonomous production systems are beginning to challenge the assumption that the primary purpose of education is to prepare people to obtain a job. If machines increasingly perform routine cognitive and physical tasks, then educating a child simply to become employable may eventually become an inadequate objective.
The question therefore changes from “How do we educate people to find jobs?” to “How do we educate people to discover what they can uniquely contribute in a world where employment is no longer the primary mechanism through which human beings obtain security and purpose?”
This is one of the central educational questions of Prospenomics.
The emergence of universal basic income and related proposals also makes this question increasingly relevant. Various economists and policymakers have explored forms of unconditional or guaranteed income as possible responses to technological unemployment, inequality, and changing labor markets. Such proposals differ considerably in their design and objectives, and they remain the subject of substantial debate. But the underlying question is important: if technological abundance eventually makes it possible to separate basic material security from employment, what should education prepare people for?
Prospenomics proposes that the answer should no longer be simply “a job.”
Education should prepare people for agency, discovery, creation, cooperation, adaptation, and meaningful contribution.
Imagine a future in which a young person does not have to choose a profession primarily according to its salary or its probability of providing financial security. Imagine instead that society has the technological capacity to allow individuals to explore their capabilities and gradually move toward activities in which they can generate the greatest personal and collective value.
The implications could be profound.
The person with extraordinary musical potential would not necessarily need to abandon music in order to become a bank manager simply because banking offers greater economic security. The person who possesses an unexplored capacity for scientific discovery would not necessarily spend an entire lifetime in construction simply because nobody ever recognized that potential. The individual with an extraordinary talent for caring for other people could develop that ability rather than being pushed toward an occupation chosen primarily for income.
This does not mean that everyone will automatically find their “perfect calling.” Human beings are complex, talents are multidimensional, and not every aspiration corresponds to a socially useful activity. Prospenomics therefore does not propose a simplistic system in which AI tells everyone what they should become. Instead, it proposes an environment in which the probability of discovering one's potential is dramatically increased.
AI can assist this process by becoming a kind of cognitive infrastructure for education. It can provide personalized tutoring, identify gaps in understanding, suggest alternative learning strategies, simulate professional environments, expose students to unfamiliar fields, and continuously adapt educational experiences to individual needs. Instead of every child receiving essentially the same educational path, each individual could have access to an adaptive educational environment capable of evolving alongside them.
The teacher would not become obsolete in such a system. The opposite may occur. As information becomes increasingly abundant and accessible, the uniquely human functions of the teacher may become more important: motivation, judgment, empathy, ethical development, interpretation, mentorship, social integration, and recognition of potential.
The teacher of the future may therefore become less a transmitter of information and more a discoverer and developer of human potential.
This principle also applies to crime and social reintegration. If Prospenomics is concerned with identifying the best possible function of every agent, then individuals who have committed crimes cannot simply be treated as permanently defective components of society. A prospenomic system must ask a more difficult question: what went wrong, what capabilities remain undeveloped, and how can this person be reintegrated into society in a constructive way?
Education can play a central role in that process.
Crime prevention should not be understood exclusively as punishment. It can also involve identifying the social, educational, psychological, economic, and environmental conditions that increase the probability of destructive behavior. When possible, rehabilitation should seek to reconnect individuals with society by developing capabilities, responsibility, purpose, and legitimate forms of contribution.
This does not mean ignoring victims or eliminating accountability. A prospenomic approach must protect society and recognize the consequences suffered by victims. But punishment alone does not necessarily transform the person who committed the offense. Reintegration seeks to transform a destructive social agent into a constructive one.
In this sense, education operates at both ends of the social system: it helps develop human potential before it is lost and helps recover human potential after it has been damaged.
Scientific research occupies a similarly important position. In a prospenomic civilization, scientific research is collective investment in humanity's capacity to perceive and transform reality. Fundamental research may produce no immediate commercial return, yet it can eventually generate technologies, medicines, energy systems, materials, and entire industries that could not have been predicted when the research began.
This is another reason why knowledge cannot be evaluated exclusively through short-term market prices. A discovery may have enormous future value even when its immediate commercial value is impossible to determine. Scientific research therefore represents one of the most powerful mechanisms for expanding the boundary of what society considers possible.
Innovation, however, must also become increasingly aligned with global well-being.
Prospenomics does not advocate innovation for innovation's sake. A technology can be extraordinarily sophisticated and still produce negative consequences if it increases waste, concentrates destructive power, damages ecosystems, or creates problems greater than those it solves. The CFC example demonstrates precisely this danger: a technological solution can be extremely successful within its original objective while generating consequences that remain invisible for decades.
Therefore, innovation must increasingly be evaluated not only by what it can do, but by what happens because it can do it.
This requires a broader definition of technological progress. The most prosperous innovation may not be the one that produces the most consumption. It may be the one that achieves the same human benefit with less energy, less material, less environmental damage, less waste, and greater accessibility.
Artificial intelligence can help accelerate this process by modeling complex consequences, identifying unintended effects, comparing alternatives, and assisting researchers in exploring enormous spaces of possible solutions. But once again, AI should not be treated as the source of human values. AI can expand our capacity to reason; it cannot determine what humanity ought to value by itself.
The values must remain subject to human deliberation, ethical reasoning, scientific evidence, and consideration of the living systems upon which civilization depends.
This leads to a fundamental educational transformation.
For centuries, humanity educated children primarily to survive within the economic system that already existed. Prospenomics proposes that education should increasingly prepare them to create the economic system that comes next.
The child should not merely learn how to compete for a place within an existing structure. The child should learn how to recognize opportunities, solve problems, cooperate, create new possibilities, understand complex systems, question assumptions, use technology responsibly, and discover resources that others have failed to see.
That is the educational response to Prospenomic Blindness.
A prospenomic civilization will therefore need not only better schools, but a different philosophy of education. Learning should become continuous rather than confined to childhood. Professional identities should become more flexible. People should be able to reinvent themselves throughout their lives. AI should become an individualized learning partner. Teachers should become discoverers of human potential. Scientists should be treated as builders of civilization's future capacity. Communication professionals should help society recognize the value of neglected forms of contribution.
And perhaps most importantly, success should no longer be measured primarily by how well a person adapts to an obsolete economic system.
The ultimate objective is to create a society in which people have a much greater probability of discovering what they are capable of becoming — and in which society has the intelligence and flexibility to make use of that potential.
In the agricultural age, education prepared humans to produce food.
In the industrial age, education prepared humans to obtain employment.
In the information age, education prepared humans to process knowledge.
In the emerging prospenomic age, education must prepare humans to create, discover, cooperate, adapt, and flourish in a world of increasing abundance.
Science expands what we know.
Education expands what humans are capable of becoming.
Innovation expands what civilization is capable of doing.
Together, they form one of the most powerful defenses against Prospenomic Blindness — and one of the principal mechanisms through which humanity may transform technological abundance into genuine prosperity.
Article 8 — New Metrics of Development
Prospenomics rejects the idea that economic wealth can be measured solely by the quantity of goods and services produced, the volume of consumption, or the growth of Gross Domestic Product. These indicators remain useful for understanding certain dimensions of economic activity, but they are insufficient to answer the fundamental question of a prospenomic society: are we actually increasing our capacity to prosper?
The emergence of the Human Development Index (HDI) represented an important change in this regard. Created to provide an alternative perspective to GDP per capita, the HDI recognized that development could not be reduced to the economic dimension. Today, the index combines three fundamental dimensions: a long and healthy life, knowledge, and standard of living, aggregated through a geometric mean.
Prospenomics can begin with this same logic and move toward a metric appropriate for a civilization that is no longer concerned exclusively with producing wealth, but with producing prosperity.
The principle is simple: if the objective of the economy is changing, the way we measure its success must change as well.
A society can increase its GDP while destroying forests, contaminating rivers, reducing biodiversity, wasting materials, and transforming irreplaceable natural resources into financial wealth. It can also produce enormous quantities of goods while leaving millions of people unable to develop their capabilities. It can even generate extraordinary technological advances without recognizing where those advances are producing negative consequences.
For Prospenomics, this represents a form of statistical Prospenomic Blindness: measuring what we can easily quantify while ignoring what actually determines the quality and sustainability of prosperity.
Therefore, Prospenomics proposes the creation of a Prospenomic Development Index — PDI, inspired by the architecture of the HDI, but designed for a society oriented toward the progressive overcoming of scarcity, the reduction of Prospenomic Blindness, and minimal interference with living systems.
The PDI could initially be structured around four fundamental dimensions:
1. Knowledge and Education — K
This dimension represents a society's capacity to produce, transmit, and use knowledge, as well as its ability to develop the potential of its individuals.
It would not simply count years of schooling. The central question would be how capable a society is of learning and transforming knowledge into the capacity to act.
Possible indicators could include educational quality, years of schooling, access to knowledge, scientific production, capacity for innovation, digital and scientific literacy, talent development, and the ability of the population to use tools such as science, the internet, and artificial intelligence to solve problems.
This dimension is especially important for Prospenomics because knowledge is precisely the principal instrument against Prospenomic Blindness. The greater our capacity to perceive resources, possibilities, connections, and solutions, the less likely society is to remain constrained by scarcities that could potentially be overcome.
2. Positive Impact on Nature — N⁺
The second dimension would measure a society's capacity to regenerate, protect, and expand the capacity of living systems.
Here we find a fundamental departure from traditional economic metrics. It would not be enough to ask how much humanity extracts from nature. We would also need to ask how much humanity gives back.
Possible indicators could include forest restoration, soil recovery, river restoration, increases in biodiversity, habitat recovery, nutrient recycling, material recovery, ecosystem regeneration, and increased carbon-storage capacity.
A society that restores a degraded area should record this as a genuine production of prosperity, even if no conventional commodity has been sold.
In this sense, ecological regeneration becomes a form of production.
This dimension also recognizes that nature possesses a form of “capital” that is not adequately represented in traditional economic accounts. A standing forest, fertile soil, healthy river, or population of pollinators is not simply a resource waiting to be converted into money. These are active components of the planet's future capacity to sustain life.
3. Negative Impact on Nature — N⁻
The third dimension would serve as a necessary counterbalance to the second. It would not be enough for a society to produce environmental benefits while simultaneously generating even greater damage on another scale.
Possible indicators could include carbon emissions, biodiversity loss, water consumption, deforestation, pollution, non-recoverable waste generation, soil degradation, extraction of non-renewable resources, and pressure on ecosystems.
There is already an important precedent for this approach within the United Nations' development framework. The United Nations Development Programme has created the Planetary pressures–adjusted Human Development Index (PHDI), which adjusts the HDI according to planetary pressures associated with CO₂ emissions and material footprint per capita. The underlying logic is precisely that a high level of human development loses meaning when it is achieved at the cost of excessive pressure on the planet.
Prospenomics can take this idea further. Rather than treating environmental impact merely as a discount applied to human development, it could become a structural dimension of the very concept of prosperity.
The question would no longer be merely:
“How much did we grow?”
but:
“How much did we grow without destroying our future capacity to grow?”
4. Reduction of Prospenomic Blindness — P
The fourth dimension would perhaps be the most original component of the Prospenomic Development Index.
It would seek to measure a society's ability to see and utilize the prosperity that is already potentially available around it.
This concept emerges directly from the Romildo Paradox. Romildo is surrounded by resources, but cannot recognize them. His limitation is not necessarily the absence of resources; it is his inability to perceive, understand, and transform those resources into prosperity.
At the individual level, this may mean a person who possesses an extraordinary ability but never has the opportunity to discover it.
At the corporate level, it may mean a company wasting materials that could be reused.
At the urban level, it may mean waste being treated as garbage when it could return to production.
At the national level, it may mean natural, scientific, or human resources being underutilized.
At the planetary level, it may mean humanity being unable to recognize that certain problems can be solved through technologies, knowledge, or forms of cooperation that already exist.
The Prospenomic Blindness Reduction Index could therefore seek to measure a society's ability to transform knowledge into concrete opportunities.
Possible indicators could include waste reuse rates, material recovery, utilization of idle infrastructure, talent utilization, applied innovation, discovery of new professional roles, waste reduction, access to knowledge tools, and the speed with which scientific solutions are transformed into social applications.
Artificial intelligence may make this dimension particularly important. AI systems could identify connections that individual human beings would not perceive: a discarded material that could replace another resource, a profession for which a particular individual possesses exceptional aptitude, underused infrastructure that could satisfy an existing need, or an already available technology that could solve a seemingly unsolvable problem.
Thus, reducing Prospenomic Blindness means increasing the efficiency with which a society transforms what it has into what it needs.
A Possible Prospenomic Formula
The structure could initially be represented by four normalized indices ranging from 0 to 1:
K = Knowledge and Education
N⁺ = Positive Impact on Nature
N⁻ = Negative Impact on Nature
P = Reduction of Prospenomic Blindness
A first approximation could use the following formula:
The result would range from 0 to 1.
The closer the result is to 1, the higher the level of prospenomic development.
The use of the geometric mean, rather than a simple arithmetic average, would not be accidental. The HDI currently uses this approach because it reduces the possibility that exceptional performance in one dimension can simply compensate for extremely poor performance in another.
This is particularly appropriate for Prospenomics.
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| In the examples provided, the Prospenomic Development Index (PDI) was calculated using four normalized dimensions: knowledge and education, positive impact on nature, negative impact on nature, and reduction of prospenomic blindness. For an agent with high values in these variables, the result was approximately 0.86, indicating a high level of prospenomic development. For an agent with lower values, the index was 0.31, reflecting a low level of development. The calculation demonstrates that no single dimension is sufficient: balance among them is essential to define prosperity in sustainable and conscious terms. |
A society should not be able to compensate for environmental destruction simply by producing more knowledge. Likewise, it should not be able to justify enormous ecological waste because it possesses advanced technology or high income.
The formula would mathematically express an ethical principle:
there is no genuine prosperity when a fundamental dimension of prosperity is severely compromised.
However, this would only be a first formulation. As better data become available, the four components could be composed of numerous internal indicators and receive weights determined through scientific research and social deliberation.
It would also be possible to create individual, municipal, national, and planetary versions of the index.
From Producing Wealth to Producing Prosperity
This change would produce an important conceptual transformation.
In the traditional economic model, an activity is frequently considered successful when it produces monetary value.
In the prospenomic model, the question becomes much broader:
did this activity increase the system's capacity to prosper?
A factory producing millions of disposable products may increase GDP, but receive a negative assessment if it consumes enormous quantities of resources and produces unrecoverable waste.
A company developing a technology capable of eliminating waste could generate enormous prosperity even if its initial revenue were relatively small.
A community restoring a river could be producing prosperity even without generating a commercial transaction equivalent to the effort involved.
A teacher who discovers and develops a child's extraordinary talent could generate a prospenomic impact far greater than that recorded in their salary.
A waste collector who recovers materials and reintegrates them into the productive system could simultaneously create environmental, economic, and social value.
The index would therefore seek to make visible forms of value that remain invisible in traditional metrics.
This becomes especially important during the transition toward a post-scarcity economy. The closer humanity moves toward material abundance, the less meaningful it becomes to measure prosperity exclusively by the quantity of things produced.
If an artificial intelligence can produce millions of units of a particular good at virtually no human cost, the quantity produced will cease to be a particularly interesting indicator of success.
The question will become: what did this productive capacity accomplish for human life and for the planet?
Prosperity as a System
Prospenomics therefore proposes that development be understood as an emergent property of a system composed of human beings, knowledge, technology, infrastructure, and nature.
A truly developed society would be one that can simultaneously:
increase knowledge; develop people; generate positive impacts on living systems; reduce negative impacts; discover previously invisible resources and capabilities; produce efficiently; reduce waste; and expand the possibilities available to its citizens.
This approach also avoids an important trap: believing that economic growth and prosperity are necessarily the same thing.
Growth can be an instrument of prosperity.
But it is not prosperity itself.
Prosperity is the outcome.
This distinction may become increasingly important as technology expands humanity's productive capacity. If we produce ten times more but destroy ten times more, we have not necessarily prospered. If we produce fewer material goods but achieve greater quality of life, more knowledge, greater biodiversity, and lower environmental impact, we may be much closer to genuine prosperity.
The prospenomic metric must therefore evolve alongside civilization itself.
At first, it may be necessary to measure primarily the reduction of scarcity.
Then, efficiency.
Then, abundance.
And finally, the capacity to maintain abundance without destroying the systems that sustain it.
This final stage represents a fundamental transformation: prosperity ceases to be a race to accumulate resources and becomes the capacity to maintain a healthy, intelligent, adaptive, and regenerative system.
The ultimate objective of the PDI would not simply be to create a new ranking of countries.
It would be to create a new answer to a question humanity has been asking for centuries:
“Are we doing well?”
Prospenomics proposes that the answer should not be found solely in the size of the economy, the volume of transactions, or the quantity of goods produced.
We should ask:
Are we learning?
Are we developing our capabilities?
Are we making the planet healthier or more degraded?
Are we discovering resources and possibilities that we previously failed to see?
Are we reducing waste?
Are we increasing freedom and quality of life?
Are we expanding the ability of other species to continue existing?
And, above all:
Are we becoming better at transforming what we have into what all living systems need in order to prosper?
That would be the true measure of prospenomic development.
Not merely measuring how much humanity possesses, but how much humanity is capable of making possible.
Article 9 — Principle of Evolutionary Cooperation
Prospenomics proposes that humanity's long-term evolution depends on its ability to cooperate within complex systems.
Competition may continue to exist as a mechanism for discovery and innovation, but it should no longer be the dominant organizing principle of economic life.
Article 10 — Final Vision
Prospenomics proposes an economy where the central question of civilization changes from:
"How do we distribute scarce resources?"
to:
"How do we use intelligence, technology, and cooperation to expand prosperity for all living beings while maintaining planetary equilibrium?"
The economy evolves from being merely a system of exchange into a system of intelligent management of life, resources, and collective potential.
