Nobel Economist Joseph Stiglitz Warns India and Global Economy Over AI Job and Bubble Risks

Artificial Intelligence is a double-edged sword for nations because the world lacks a clear macroeconomic model for it, Nobel Prize-winning economist Joseph Stiglitz said at the Hindustan Times Leadership Summit. He cautioned that countries like India must increase public investments in education to protect jobs from the impact of the ongoing AI boom.

Key Challenges

The current AI boom creates two major challenges for the global economy. The first is whether heavy investments in AI will bring the expected returns, which raises the risk of a financial bubble. The second challenge is finding a fair balance between the winners and losers created by AI globally. Stiglitz noted that one-third to two-third of current growth in the United States comes from AI-related investments like data centres. Even if a bubble bursts, it does not mean the underlying technology fails, but intense competition in the sector means companies might not make the high profits they hope for. He pointed out that some American firms in Silicon Valley even use cheap Chinese models like DeepSeek to train their own systems.

Impact On India

India has a real reason to worry about jobs because AI replaces tech sector jobs most quickly in the US, which heavily supports India's economic transformation and IT sector. Stiglitz warned that this creates a demand problem because if AI destroys jobs, people will lack the income to buy goods. He suggested that governments need to fund a progressive AI agenda through taxes on AI company profits to invest in education, health, and the green transition. Stiglitz also warned that while AI can solve old problems, it could also create a dangerous rogue AI.

Context

Economists and global leaders often debate how rapid technological shifts impact employment across different nations, particularly in outsourcing hubs like India. Public investments in education and infrastructure are frequently proposed as a way to help workforces adapt when automation alters traditional job markets.