Who Pays for AI, and Who Benefits?

WhatsApp Image 2026-08-09 at 1.44.33 PM
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WhatsApp Image 2026-08-09 at 1.44.33 PM
Artificial Intelligence (AI) is no longer simply a rapidly advancing technology. It has become one of the world’s major arenas of economic and political competition, reshaping the global balance and distribution of power.اضافة اعلان

Hundreds of billions of dollars are flowing into semiconductors, data centers, energy, computing infrastructure, and advanced AI models, in a race led primarily by the United States and China, and to a lesser extent Western Europe.

But behind these enormous investments lies a more important question: Who will reap the returns and wealth generated by them?

Early indicators offer little reassurance. Rather than automatically leading to a broader distribution of wealth and opportunity, there are serious reasons to believe that this transformation could deepen the economic and technological divide between wealthy countries and those commonly referred to as the Global South.

At the same time, it could widen inequalities within advanced economies themselves, separating giant corporations from large segments of workers and society.

The core capabilities underpinning artificial intelligence from advanced chips and data centers to cloud computing, data, and massive pools of capital are heavily concentrated in a limited number of countries and corporations.

This means that a significant share of the expected gains in productivity and income may accrue to the owners of capital, technology, and intellectual property, rather than necessarily benefiting workers or the societies that use these technologies.

There is also widespread optimism that artificial intelligence will create more jobs than it eliminates.

But this assumption deserves much greater caution and scrutiny. It is based partly on past historical experience, when industrial and technological revolutions eventually generated new sectors and occupations.

History, however, does not repeat itself automatically. The positive social outcomes associated with earlier technological transformations were not produced by technology alone.

They were also the result of particular social and political balances, strong trade unions, labour legislation, social protection systems, broad access to quality public education, and tax policies that distributed part of the gains from economic growth.Many of these conditions are weaker today than they were during earlier periods of technological transformation.

The argument that workers displaced by artificial intelligence will easily move into new jobs also assumes high levels of education and digital skills, along with fair and universal access to continuous training.

These conditions are simply not available to hundreds of millions of workers, particularly in countries already struggling with weak education systems, high unemployment, large informal economies and labour markets, and limited social protection.

Artificial intelligence will certainly create new jobs. Yet many of them may be less secure and more dependent on temporary contracts, platform-based work, digital surveillance, and intensified productivity pressures, unless labour laws and social protection systems evolve as rapidly as technology itself.

We are witnessing a historic transformation in the means of production and in labour relations.

It should not be approached with pessimism, but there is equally little justification for excessive optimism about its social returns. Artificial intelligence has the potential to generate enormous increases in global wealth, but it has no built-in mechanism for distributing that wealth fairly.

Without national and international policies that restore a better balance between capital and labour, and between powerful economies and those with fewer resources and capabilities, we may discover in the years ahead that we are living through one of the greatest revolutions in production in history and, at the same time, one of the largest waves of wealth concentration and social inequality.