Imagine that artificial intelligence delivers precisely what its most ardent advocates have long promised: businesses achieve unprecedented levels of productivity, routine administrative tasks that once took hours are dispatched in minutes, and scientists accelerate the discovery of life-saving drugs and advanced materials at breakneck speeds. In this envisioned future, energy networks become seamless to manage, and a small, localized startup gains analytical and computational capabilities that once required an entire corporate department to sustain. By familiar economic measures, such as gross domestic product and corporate output, there would be profound cause for celebration.
Yet, stepping back to widen the picture introduces a more complex set of questions about the trajectory of modern society. Are ordinary people becoming genuinely more capable of shaping their own lives in meaningful ways? Are these economic gains actually reaching the populations who need them most, or are they pooling at the top? Are natural ecosystems and planetary life-support systems becoming healthier and more resilient under this new technological regime? Furthermore, as machines grow increasingly proficient at writing, analyzing, remembering, and recommending, are they actively strengthening human capability, or are they quietly encouraging us to exercise less of it?
These are not merely philosophical musings; they are fundamentally economic questions. They point directly toward what may become the next frontier of human and economic progression: an architecture that is better at generating what truly matters by explicitly recognizing that social, economic, ecological, and technological progress are deeply intertwined.
One Economy, Four Connected Systems
Modern industrial society has grown accustomed to dividing reality into manageable, siloed administrative pieces. Economic ministries deal strictly with growth, employment, and market output. Social ministries address healthcare, education, and the persistent challenge of inequality. Environmental agencies focus narrowly on climate targets, biodiversity loss, and pollution abatement. Meanwhile, technology policy concentrates almost exclusively on innovation, digital competitiveness, and intellectual property.
While these divisions make administrative and bureaucratic sense, life itself is far less cooperative.
Consider a modern data center. From a strictly economic perspective, it represents capital investment, infrastructure development, and productive technological capacity. From a technical standpoint, it provides the immense computing power required to train and run complex artificial intelligence models. Socially, its ultimate significance depends entirely on what that computational power enables, which jobs it transforms or displaces, and who ultimately benefits from the efficiency gains. Ecologically, that exact same facility requires massive, continuous inputs of electricity, water, cooling equipment, critical minerals, and physical land. A single major investment moves through four distinct systems simultaneously.
The sheer scale of these interconnections makes them tangible. Current global energy projections suggest that the world’s data centers could consume approximately 950 terawatt-hours of electricity annually by the year 2030—nearly twice their projected consumption for 2025. To put that figure in perspective, it is slightly more electricity than the entire nation of Japan consumes today. While data centers will still represent only about three percent of total projected global electricity demand by the end of the decade, the core issue is not that artificial intelligence will somehow consume all the power on Earth. Rather, the challenge lies in the sheer speed of expansion and the intense pressure that concentrated, localized demand can place on regional power grids.
This rapid technological scaling is occurring on a planet already under severe ecological strain. Scientific assessments, such as the Planetary Health Check, indicate that seven of the nine scientifically defined planetary boundaries have already been pushed beyond their safe operating space. In everyday language, several of the fundamental natural systems that have historically provided stable, predictable conditions for human civilization are now being driven past scientifically assessed limits.
To be sure, artificial intelligence could play a vital role in solving these very crises. It possesses the capability to balance complex electricity networks, dramatically improve industrial energy efficiency, reduce supply chain waste, accelerate the discovery of green materials, and monitor vulnerable forests, oceans, and agricultural lands with unprecedented precision. Yet technology can simultaneously increase ecological pressure while helping to reduce it; it can widen access to economic opportunity while concentrating corporate power; it can relieve human workers of tedious administrative burdens while quietly removing the daily experiences through which deep human expertise is developed.
Because these effects are fundamentally connected, improving one isolated part of the system while inadvertently transferring hidden costs to another resembles nothing more than moving an expense between different columns of a household budget and declaring oneself richer.
Where Does the Productivity Go?
Artificial intelligence makes this systemic reckoning urgent because tangible productivity gains are already materializing across the global workforce. A recent large-scale workplace experiment revealed that regular users of generative artificial intelligence spent about two fewer hours each week managing email and significantly reduced the amount of work they conducted outside normal working hours. In short, artificial intelligence created time.
The central economic and social question is what society chooses to do with that newly created time.
An extracted hour saved through automation can easily become another hour of relentless production. However, it can also become an hour dedicated to continuous learning, caregiving, creative exploration, higher-quality customer interaction, or simply time returned to an exhausted employee for rest and community engagement. Similarly, higher productivity can translate into lower consumer prices, larger corporate profits, higher wages, greater public investment in social projects, or better-funded public services.
Which direction the economy takes depends entirely on underlying economic systems and the human choices those systems incentivize. This reality links directly to another crucial asset that standard economic statistics capture remarkably poorly: human agency—our individual and collective capacity to understand, judge, choose, and act.
Artificial intelligence possesses the dual capacity to strengthen human capability and to encourage us to exercise it less frequently. Global Positioning System (GPS) technology offers a familiar, everyday analogy for this phenomenon. Navigation has become wonderfully efficient, yet it is now entirely possible for a modern driver to travel repeatedly through a dense urban center without ever developing a genuine mental map or understanding of its underlying geography.
When the exact same principle of cognitive offloading is applied to core human faculties such as writing, remembering, critical analysis, and long-term decision-making, the stakes become vastly higher. In a recent randomized experiment, artificial intelligence substantially narrowed performance gaps between individuals with varying educational backgrounds while the technological tool was actively available to them. Yet, when those same participants were subsequently asked to work without the aid of artificial intelligence, those performance gains did not uniformly translate into independent human capability. How individuals actively engaged with the technology mattered profoundly. Consequently, the primary economic challenge of our era is far more sophisticated than simply deciding whether humans should or should not delegate tasks to machines.
Making Progress Work Harder for People and Planet
This complex reality is where the concept of ProSocial AI becomes essential. The objective is not merely about creating machines that behave in a friendly or altruistic manner toward individual users, but rather developing and deploying artificial intelligence with a much wider, more integrated understanding of true value. This means using technological capability to systematically improve outcomes across people, shared prosperity, and the planet, rather than aggressively optimizing a single narrow metric while ignoring cascading negative effects elsewhere.
In practice, these applications can be thoroughly grounded in the physical world. An advanced agricultural system can help a farmer optimize crop yields while simultaneously minimizing unnecessary water usage and chemical fertilizer runoff. Artificial intelligence can successfully strip bureaucratic paperwork away from a nurse’s daily routine, returning precious time directly to patient care. A modern logistics network can slash corporate transport costs and physical waste simultaneously. A classroom teacher can use smart tools to instantly identify where a student requires extra academic support, while ensuring that the student still performs the difficult cognitive thinking required to genuinely learn the material.
The common thread running through all these initiatives is better systemic alignment.
This vision leads naturally toward the development of Hybrid Intelligence, defined as a deliberate, thoughtful combination of natural and artificial intelligences where their respective strengths actively complement one another. Human beings contribute lived experience, moral values, personal responsibility, deep social understanding, and nuanced judgment. Artificial systems contribute raw speed, massive scale, and the extraordinary ability to process quantities of complex information that no single person could reasonably manage. Both forms of intelligence, however, must ultimately operate within the fragile natural systems upon which every human economy depends.
The ultimate destination of this technological and economic evolution is Hybrid Flourishing—a condition in which technological progress actively expands the capacity of both people and the planet to thrive, providing every living being with a fair and equitable chance to fulfill its inherent potential. This state cannot be engineered from the top down alone; it grows organically from the inside out through human values, conscious choices, and personal agency, while being nurtured from the outside by supportive institutions, fair markets, and human-centric technologies.
Society cannot simply abandon economic growth, particularly when billions of people across the globe still urgently require better housing, reliable healthcare, quality education, resilient infrastructure, and basic economic security. Material progress remains an absolute prerequisite for human dignity. The vital task facing policymakers, technologists, and economists alike is to ask more of that progress.
For two centuries, industrial economic development has become progressively better at producing more physical goods while consistently valuing human labor and natural capital less. Injected unexamined into the existing economic architecture, artificial intelligence will merely accelerate that historic trajectory. Yet a viable alternative exists: creating broad-based prosperity in ways that actively strengthen the people, societies, and living systems from which all true prosperity ultimately originates.
Humanity already knows how to make machines more productive. The defining opportunity of a generation is making progress more productive for life itself.
