Goldman CEO says AI buildout financing remains robust despite selloff

What Solomon told CNBC

Goldman Sachs CEO David Solomon told CNBC's Leslie Picker that his group has been deeply engaged in recent AI capital-markets work over the past few weeks, and he anticipates that momentum will persist. In his words, there is "still very strong demand for investments in the AI infrastructure build and the technology around the growth of AI."

He added that shifting politics will bring "recalibrations and ups and downs," but he still believes AI's long run impact on productivity will be meaningful. His read on conditions: "the market environment is still pretty constructive."

Markets and politics are tugging the narrative

AI linked shares, from chipmakers to neocloud names, have fallen in recent weeks as investors revisit the risk that the vast sums - in the hundreds of billions of dollars - going into AI infrastructure may not yield attractive returns. That slide started before the U.S. midterm elections and accelerated after Democrats notched sweeping wins on Tuesday, stirring concerns that political pushback could slow the sector's expansion.

Solomon also pushed back on opposition to data center builds, contending this backbone is vital for the U.S. economy and can be developed in a responsible way. As he put it, "We certainly don't want this infrastructure going to places outside the U.S., which is what will naturally happen because the demand for compute is there."

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IPO watch: Anthropic

This sentiment shift arrives as AI model developer Anthropic readies a potential IPO, a float that could serve as a key litmus test of public-market appetite for AI firms. Banks steering the deal include Goldman. "We'll see, obviously, if this IPO moves forward, how it all plays out," Solomon said, declining to dig into specifics.

Why it matters for your portfolio

Financing for AI infrastructure is still available, even as stock prices wobble and politics injects more headline risk. The next tell may come from Anthropic's IPO path and pricing, which could signal how much public investors currently value AI growth against execution and policy risk.

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