Goldman Sachs Chief Executive said that despite recent stock market volatility around the artificial intelligence sector, demand for financing AI infrastructure and related technology investment remains strong. The bank said it has been highly active in AI-related capital markets transactions in recent weeks and expects the trend to continue in the near term.

Political changes are prompting the market to reprice assets, causing fluctuations in related prices. But he remains optimistic about AI's ability to raise long-term economic productivity, arguing that efficiency gains from technology diffusion have not yet been fully priced in.

For some time, shares of chipmakers, emerging cloud providers and listed companies involved in AI model training have remained under pressure. Investors are scrutinizing more closely whether commercial returns will arrive at the expected pace after hundreds of billions of dollars are invested in compute infrastructure. The reassessment did not begin only after the election; it had been brewing before the U.S. midterm elections. With Democrats winning significant victories on Tuesday, concerns have intensified that policy headwinds could slow industry expansion.

Anthropic, the AI model lab, plans to advance a potential listing, making current market sentiment a window into public investors' risk appetite. Goldman Sachs is one of the major financial institutions involved in the IPO process. The bank declined to comment further on deal details, saying only that if the listing proceeds, the market's response will provide a new benchmark. Internally, it still views the overall financing environment as broadly constructive.

Debate over data center construction is also intensifying. Some voices worry that site selection, energy consumption, community impact and regulatory scrutiny may increase project uncertainty. The Goldman Sachs executive said compute infrastructure is critical to U.S. economic growth and competitiveness, and that such demand should not simply be pushed overseas as long as it is developed responsibly. In his view, compute demand is concentrated in the United States, and related investment should find capacity domestically.