Financial Times column questions whether AI will reduce inequality

In short: A Financial Times opinion column argues that even if AI makes many things cheaper, it is still likely to increase concerns about inequality.

What's going on

Economist Adair Turner writes that some AI leaders expect very fast economic growth and a future where goods and services feel plentiful. He points to comments from DeepMind founder Demis Hassabis, investor Marc Andreessen, and an Anthropic economics report that expects strong GDP growth by 2030.

Turner argues that big advances in AI do not automatically mean people will feel better off, or that official growth numbers will capture the real changes. He says some AI-driven activity could be “zero-sum,” meaning it creates more costs without clear benefits for everyday people. He uses examples like more AI-powered cyber attacks leading to higher spending on cyber defense, and more legal complaints and lawsuits created with AI.

He also argues that some benefits could be huge but show up oddly in GDP, which is a country’s total measured economic output (like a scoreboard for money changing hands). For example, AI could speed up drug discovery, but if those drugs later become cheap to make, the measured economic value could fall even while people benefit.

What to watch

Turner says inequality worries may grow because AI cannot make scarce things, like land and housing in popular cities, more available. He compares it to a sale where most items get cheaper, but the few limited items still get more expensive. He argues the final outcome will depend heavily on policy choices, including how societies pay for public services when many important AI effects do not show up in GDP.

Source: Financial Times