The coming AI-driven “abundance” shock

The defining challenge of the age of artificial intelligence (AI) is not how to produce more, but how to maintain dignity, meaning, and equity in a world where more can be produced with less human effort than ever before.

In a recent lecture, American technology ethicist Tristan Harris described advanced AI as “alien digital immigrants,” a form of non-human intelligence invading human society on a large scale.

This metaphor is striking. But the deeper impact lies not in what AI can do, but in what we have yet to consider.

Our entire social structure, including our laws, labor markets, identities, and politics, is built on foundational assumptions that are now quietly becoming less true. That assumption is scarcity.

We are now entering a different world.

Decades ago, American author and futurist Alvin Toffler warned of “future shock,” a situation in which the pace of change exceeds our ability to adapt.

But today’s transformation is not just about speed. It is also a change in the very foundations of how society organizes production, distributes rewards, and fixes meaning.

For most of modern history, human society has operated under conditions of scarcity. Resources were limited, productivity was limited, and economic systems operated to allocate what could not be freely created.

Work was not just a means of survival. It was also the primary way individuals gained identity, dignity, and social recognition. This gave us an economic model, a framework for workers’ rights, and a sense of what a purposeful life looks like.

AI challenges this logic. It’s not just about making processes more efficient. It also allows knowledge, analysis, and even creativity to be replicated at near-zero marginal cost.

In such a world, the traditional link between human effort and value begins to break down.

Paradoxically, abundance can be more unstable than scarcity.

When wealth is destroyed

Three forms of destruction are particularly noteworthy. Both are more fundamental than the unemployment narrative that currently dominates public discourse.

First, there is economic uncertainty.

While AI can improve overall productivity, the benefits are unlikely to be widely distributed. Ownership of data, models, and computational infrastructure has the potential to concentrate wealth more narrowly than previous technological revolutions.

Without intentional mechanisms of redistribution, affluence risks increasing inequality rather than reducing it.

Second, there is a deeper social unrest: an identity crisis.

In modern society, work is not only a source of income, but also a framework for individuals to understand their purpose.

If a large part of cognitive labor is transformed or replaced, the question is no longer just how people earn, but also how they define themselves. This isn’t a skill issue; it’s an identity issue.

Third, there is cognitive instability.

As AI systems generate vast amounts of content, information becomes abundant, but trust becomes scarce. A wealth of information does not automatically mean a wealth of understanding.

It can easily lead to the erosion of the shared epistemological foundations on which democratic deliberation depends. When reality can be simulated at scale, the risk is not only misinformation, but also unraveling the common factual baseline that society needs to function.

These are not problems that can be solved by market forces alone.

Where the market is lacking

Markets allocate resources efficiently under conditions of scarcity. It rewards efficiency, innovation and competition. But they are not designed to protect human dignity, maintain social cohesion, or define what constitutes a good life.

In the age of AI, the most significant impacts are not on the environment or financial markets, but on humans, eroding human agency and autonomy and undermining social trust.

Left unchecked, a purely market-driven trajectory will result in optimizing the most powerful systems rather than delivering the most beneficial outcomes.

Industrial age societies were aware of the effects of capitalism.

Environmental regulations, labor laws, antitrust frameworks, and social insurance were not anti-market. These were the conditions under which markets could function without destroying the social structures on which they depended.

The AI ​​era will require similar calculations, but with a different set of externalities that will be deeper and more difficult to manage and price.

This raises important questions for societies like Singapore.

Rethinking society, policy, and values

Singapore has long excelled at overcoming deprivation by building resilience, improving skills and aligning economic growth with social goals. Its capabilities are real and have served the country well through successive waves of technological innovation.

However, the new challenges are structurally different. The Republic’s past successes have been in optimizing human capital under constraint conditions. The AI ​​era poses a different challenge: how to govern well in a context of abundance.

The two are not the same problem and do not require the same institutional design.

If the challenge is simply a skills mismatch, reskilling is sufficient. But if the nature of work itself is evolving, then the problem becomes one of social design.

Education cannot focus solely on employability. In an information-rich world, judgment—the ability to discern, evaluate, and act responsibly—may be more valuable than knowledge alone.

Social policy cannot be limited to mitigating economic displacement. We also need to consider how to maintain participation, belonging, and intergenerational continuity.

And AI governance is not limited to safety and compliance. We must also ask how we share the benefits of technological riches and how to ensure that progress does not come at the expense of social cohesion.

In other words, the challenges are not just technical. It’s also institutional. And ultimately it’s a question of values.

Toffler’s insight wasn’t just about how fast things change. It was that society could be destabilized by changes that exceed the human capacity to discern their meaning. We are in just such a moment right now.

The future will not be determined by AI alone. It will also be shaped by the choices that people, institutions, and governments make in response: choices about what we owe each other, what we believe humans are for, and what kind of society we want to build.

The real shortage in the coming era may not be in resources, but in wisdom. It is the wisdom to distribute profits equitably, to protect human dignity, and to ensure that a richer world does not make us any poorer in human terms.

Dr Pei Sai Fan is an adjunct professor at Nanyang Technological University and the National University of Singapore (NUS). Fintech researcher Dr Willie See is a lecturer at the Singapore University of Social Sciences and a visiting researcher at NUS.