AI, Energy, Population, and the Reshaping of the Global Landscape

AI, energy, and population are the three major forces reshaping the world order in the next two or three decades. Why two or three decades? Because these three trends are reaching critical points within this window: AI is likely to replace most cognitive labor, clean energy is likely to fully replace fossil fuels as the main energy source, and the demographic shift is an established fact. These forces are simultaneously transitioning from trends to realities. This is also the profound change most people will experience in their lifetime.

AI is reshaping social structures and class distribution; energy is redefining geopolitical order; population shifts are changing the world’s center of gravity and power landscape. The directions of these three variables are already clear and irreversible. Their combined effects will bring about structural changes in the world. We don’t need to predict specific future scenarios—just understanding the direction of each variable is enough to realize: the social order, economic logic, and international landscape we are accustomed to will undergo profound transformation.

AI: Surplus Intelligence and the Disappearance of the Middle Class

AI is not just another technological upgrade. The steam engine replaced animal power; industrialization replaced manual labor; computers enabled automation—each past revolution mainly replaced physical and repetitive work. For the first time, AI is replacing large-scale cognitive judgment. Many routine mental tasks—analysis, writing, programming, customer service, translation, basic decision-making—are being supplied at near-zero marginal cost, infinitely.

This means the market value of mental labor will plummet. Just as the industrial revolution rendered handloom weavers’ skills worthless, AI will do the same to many knowledge workers’ expertise. But this time, the speed is faster, and the scope broader—because cognitive jobs cover a much wider range than physical labor.

The most immediate structural consequence is increased social polarization. The gap between those who can leverage AI to amplify their abilities and those who cannot will not just widen linearly but will diverge exponentially. Past technological revolutions eliminated old jobs but also created many new supporting roles. Industrialization required workers, managers, engineers, accountants, salespeople—forming a large middle class along the industrial chain.

This round of AI is different. Its characteristic is that a very small number of people can perform tasks that previously required large teams. One person plus AI may outperform an entire team of the past. AI will create new jobs, but these are not evenly distributed—they cluster at both ends: at the top, creative work; at the bottom, physical services—precisely the middle layer is being hollowed out.

The middle class is not just an income bracket. It is the structural foundation of social stability. Middle-class individuals own property to protect, children to educate, pensions to preserve—thus they tend to favor order, gradual change, and compromise. They are the main voters of moderate politics, the main consumers, and the carriers of social consensus. In fact, this group has already been shrinking. In the US, the proportion of people identifying as middle class dropped from 53% in 2008 to 44% in 2014. In Germany, the middle class declined from 60% in 1991 to 54% in 2013, with even faster decline among the young. And this was before the widespread adoption of AI. The hollowing out of the middle class means these functions are losing their carriers.

Education is one of the most deeply impacted fields. Modern education systems are built on an implicit assumption: individuals spend over a decade acquiring knowledge and skills, then recoup this investment over a multi-decade career. This is an investment-return model that has worked well for the past century. But if AI reduces the market value of most knowledge-based skills to zero, this model collapses. Someone studies accounting, law, or programming for four years, only to find that AI can do the same work faster and cheaper. Education is no longer unimportant, but its role as a social screening mechanism and pathway for social mobility is greatly weakened. It becomes harder for the underprivileged to succeed—not because of resource inequality, but because the return on education itself is collapsing.

The political consequence of the shrinking middle class is polarization. The middle class fills the political center. As it shrinks, the middle collapses, leaving only two poles—angry lower classes and anxious elites—without buffer or common ground. Moderate, rational, compromise politics disappear, replaced by emotional mobilization and identity conflicts. This is not unique to any one country. From US partisan polarization to the rise of European far-right, and the spread of populism worldwide, a similar structural force manifests across different political soils.

Political polarization will inevitably spill over externally. Internally polarized politics tend to contract inward and adopt a hardline stance externally—because that’s the only posture acceptable to both ends. Moderate free trade positions lose political support. Each country develops its own version of economic nationalism. The domestic political consensus sustaining globalization is disintegrating.

Meanwhile, AI is also eroding the foundations of globalization from an economic logic perspective. The core driver of globalization in recent decades has been labor cost arbitrage: relocating production to places with cheap labor, selling products in high purchasing power markets. This simple yet powerful logic has driven unprecedented global division of labor. But if AI makes labor costs irrelevant, this logic loses its support. Manufacturing returning home is no longer just a political slogan but an economic rationality.

The political and economic foundations of globalization are being simultaneously undermined by AI. The impact on developing countries is especially profound: the decades-long path of catching up—first accepting manufacturing shifts, then climbing the value chain—is closing off.

Energy: Phasing Out Fossil Fuels and Reshaping Geopolitics

Energy is the physical foundation of civilization. How much energy a civilization can mobilize determines what it can achieve. Over the past two centuries, this foundation has been fossil fuels—coal, oil, natural gas. They shaped industrial systems, urban forms, transportation networks, and also the basic geopolitical landscape.

This foundation is changing.

The cost curve of photovoltaic panels is now very clear: down nearly 90% in the past decade, and still accelerating. Wind power follows a similar trajectory. Energy storage technologies are rapidly evolving. Even without considering nuclear fusion, the continued cost reduction of renewables and storage is steadily diminishing the strategic scarcity of fossil fuels. If nuclear fusion becomes commercially viable during this period, the process will accelerate significantly. Clean energy is not just a supplement to fossil fuels but a replacement. In two or three decades, we are likely to live in a world where energy costs are significantly lower.

Many believe the last bastion of oil is transportation fuels—cars, ships, airplanes. Not true. Electric vehicles have already threatened oil’s dominance in ground transportation. Synthetic fuels are also beginning to commercialize. As clean energy costs continue to fall, synthetic fuels will significantly replace oil fuels, including the most difficult-to-replace aviation kerosene. The real moat for oil is in chemicals. Nearly all modern chemical products—plastics, fertilizers, synthetic fibers, rubbers—originate from hydrocarbons derived from oil cracking. The chemical industry is the domain where oil remains “irreplaceable.”

But even this moat is under attack. Green hydrogen combined with captured CO₂ from the air can produce methanol. Methanol is an extremely versatile chemical platform molecule, from which olefins, aromatics, plastics, and synthetic fibers can be derived. Bio-based pathways offer another alternative. The key bottleneck is not technology but cost—currently, green synthesis routes are much more expensive than oil cracking. But costs depend on electricity prices. As clean energy costs continue to fall, artificial synthesis will eventually become economically competitive with oil.

At that point, oil will truly downgrade from a strategic resource to a commodity. Not that it will disappear, but it will no longer be irreplaceable.

The geopolitical consequences are profound. Fossil fuels are not just energy—they are the operating system of current international order. The strategic importance of the Middle East is built on oil. US involvement in the Middle East, the fiscal base of Middle Eastern countries, and the geopolitical significance of the Gulf region all fundamentally depend on the resources beneath that land. Over 60% of Saudi Arabia’s fiscal revenue still comes from oil. Russia’s great power status also heavily relies on energy exports—oil and gas have long contributed 30-50% of federal budget revenue, and are key tools for Moscow’s influence over Europe. The dollar’s reserve currency status is largely supported by the dollar-denominated oil trade.

As the strategic value of oil diminishes, these valuations will be reset. For countries relying on over 60% of revenue from oil, this is not just an economic adjustment but a fundamental threat to national survival. The Middle East faces not just economic transformation but existential crisis—decades of accumulated wealth and influence built on a devaluing resource. Russia faces a similar challenge. Without energy leverage, Russia’s bargaining power in international affairs will shrink dramatically.

Global trade will also be disintegrated from the supply side. Currently, fossil fuels and their derivatives constitute a large share of maritime trade. The essence of clean energy is localization—sunlight and wind do not require transoceanic transport; power plants can be built anywhere. Energy localization greatly reduces interdependence based on energy trade. Trade is not just the flow of goods but the glue of international relations. As this glue weakens, international relations will become more fragmented and unpredictable.

At this point, the two independent trends—AI and energy—converge on the same conclusion: the form of globalization of the past few decades is coming to an end.

Population: The Shift of the World’s Center Southward

Population is the most certain of the three variables. AI development may encounter technical bottlenecks; breakthroughs or delays in energy may occur; but the future of population is almost certain. Because the people who will determine the labor force and demographic structure in 20-30 years are already born—or will not be born. Once fertility rates fall below a certain threshold, they cannot be reversed within decades. This is not just policy but social inertia. Almost no country has successfully reversed a sustained decline in fertility.

The global demographic map in 20-30 years is already largely determined: Europe’s and East Asia’s labor forces will plummet. According to UN projections, China’s working-age population will decline from about 980 million in 2024 to around 750 million in 2050—a nearly 25% drop. Japan and South Korea are entering deep aging. Meanwhile, populations in South Asia, Southeast Asia, and Africa will continue to grow. India’s working-age population will increase by about 140 million during this period, becoming the largest labor market globally. Africa’s population will double, with many countries entering a demographic dividend window. The world’s center of gravity will shift from the North to the South.

Population growth is itself a driver. More people mean more demand, more transactions, more trial and error, more possibilities. A society with a young majority, given basic economic opportunities, becomes a hotbed of entrepreneurship and risk-taking; its rhythm moves forward. Without opportunities, the same demographic energy can lead to instability. An aging society, on the other hand, tends to be conservative—regardless of institutional quality, it is characterized by a defensive, preservationist mindset. Culture matters, but the intergenerational structure is a deeper variable.

Over the past two centuries, this demographic momentum has shifted several times: in 19th-century Europe, mid-20th-century North America, and late 20th-century East Asia. Each shift reshaped the global order. In the next two or three decades, this momentum will shift to South Asia and Africa—this is not prediction but an extension of already occurring trends.

In the AI era, the nature of demographic dividends is fundamentally changing. Previously, it was “cheap labor”—large numbers of young people willing to work for low wages, providing cost advantages for global manufacturing. This dividend is indeed depreciating in the face of AI. But a new form of demographic dividend is emerging: population as a market—rising income levels in South Asia and Africa will contribute the majority of global consumption growth. Population as talent pool—extreme talent is a probabilistic event; larger populations increase the absolute number of geniuses at the far right tail, but whether this potential is realized depends on education and institutional environment. Population as fiscal base—more people mean a larger resource pool for nations to mobilize, which depends on how many are creating and exchanging value. The country with the largest market and the largest talent pool will have the strongest demand pull and the greatest potential for innovation—assuming the institutional environment allows talent to flourish.

Conversely, the challenges of aging countries are deeper than they appear. Population decline not only means labor shortages—though AI can partly offset this—but also implies a persistent contraction of domestic demand. All growth assumptions in past economic models relied on market expansion. Once population declines, it’s not just a slowdown but a breakdown of the growth paradigm itself. Japan’s three-decade stagnation was not just due to policy mistakes but fundamentally a response to the irreversible demographic reality. Pension and healthcare costs will consume an increasing share of fiscal resources, squeezing investments in education, infrastructure, and defense. The state’s capacity to adapt is being locked in place—financially and psychologically: aging societies tend to become conservative and rigid, losing the capacity for risk-taking precisely when change is most needed.

Furthermore, it’s crucial to recognize that South Asia and Africa still have massive “debt” in industrialization and modernization. Urbanization of hundreds of millions, infrastructure development, establishing manufacturing from scratch, building public services—these processes, completed in developed countries, are just beginning or far from finished in the Global South. Addressing these needs alone can unleash enormous economic growth potential. This growth is endogenous and structural, not solely dependent on globalization channels. Even without political change, industrialization and modernization can drive decades of profound transformation.

However, endogenous industrialization has limits. To become a truly global power, relying solely on domestic demand is insufficient. Here lies a major tension: demographic momentum is shifting southward, but the channels to harness this energy are closing. Past success stories—East Asia transforming demographic dividends into economic growth—relied on globalization: exporting manufactured goods, integrating into global value chains, accumulating capital and technology. Now, these channels are being blocked by multiple forces: AI erasing labor arbitrage, energy localization weakening international trade, political polarization closing borders to migration.

The Global South has the growth drive but may lack the pathways to unleash it. There is a historic dislocation between demographic momentum and the channels to convert it into national strength and influence. Looking back at previous shifts—Europe to North America, North America to East Asia—each took decades of war, revolution, and institutional rebuilding. There has been no smooth transition. The current South Asian and African wave is unlikely to be an exception. Whether they can find new ways to transform vast demographic potential into national capacity and global influence remains the greatest uncertainty in the variable of population and a key determinant of future global power distribution.

Conclusion

These three variables—AI, energy, and population—are each irreversible and evolving, yet they act together on the same world. AI eliminates the middle class; energy reduces resource dependence; demographic shifts reshape the distribution of national power. Every pillar of the current international order—the global trade system, fossil fuel-driven geopolitics, the structural advantages of northern countries, and middle-class social stability—will be redefined.

Moreover, these variables share a common direction: they all weaken the “center.” AI diminishes the advantage of large organizations over small teams; energy localization reduces resource-exporting countries’ control over importers; globalization’s disintegration shifts power from a global system back to regions and nations. The world order of the past two centuries was built on centralization—big factories, large corporations, great powers, unified global markets. These three forces simultaneously undermine that centralization logic itself.

We do not need to predict the final state. But some certainties are clear: everything we take for granted today—globalization, middle-class society, fossil fuel order, northern dominance—is not a stable equilibrium over the next two or three decades. Recognizing the directions of these three trends is enough to fundamentally reevaluate our current certainties.