Scott Galloway says the public keeps buying into a familiar story: that a powerful tech leader will step up, ask to be taxed and help fix inequality. In reality, he says, that outcome almost never materializes.
Speaking on his “Prof G Markets” podcast, the New York University professor and entrepreneur pushed back on the growing narrative that leaders in artificial intelligence are ready to support meaningful redistribution as their companies grow richer. “We keep falling for this notion that some Jesus-like figure from the technology sector is going to tax himself,” he said. “It’s never happened. It’s never going to.”
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Tech Promises vs. Political Reality
Galloway said that prominent tech leaders, including OpenAI CEO Sam Altman, Anthropic CEO Dario Amodei, and Amazon (NASDAQ:AMZN) founder Jeff Bezos, have publicly suggested higher taxes or new policies to manage the economic impact of automation. Some have floated ideas like AI-specific taxes or broader wealth redistribution.
But Galloway said there is a clear pattern. These tech leaders and billionaires publicly ask for higher taxes and more regulation for their companies, and then, as Galloway said, “they deploy thousands of lawyers to get in the way of any regulation.”
“If we’re waiting on Dario Amodei to figure this out, good luck to us,” he added.
His argument is that real change will not come from voluntary action by billionaires, but from government policy. “We need public policy that actually has sane economic tax policies,” he said on the podcast.
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The conversation reflects a broader debate about who should bear responsibility for the disruption caused by AI. While some executives frame themselves as part of the solution, Galloway suggested their incentives tell a different story.
AI, Jobs And Growing Inequality
Even though unemployment is still fairly low overall, there are early signs that things are getting tougher, especially for younger workers and recent grads.
Podcast guest, entrepreneur and former presidential candidate Andrew Yang, reasoned that these early signals shouldn’t be ignored. He pointed to declining job placement rates and hiring slowdowns in white-collar industries.
“The easiest people to fire are the people you haven’t hired yet,” Yang said, describing how companies are quietly pulling back on entry-level hiring while investing heavily in AI.
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Even when layoffs are not directly caused by automation, Yang said the direction is evident. Companies are shifting resources away from workers and toward AI infrastructure. “Capital displaces labor,” he said.
That shift, both Yang and Galloway agreed, is likely to increase inequality. As companies become more productive with fewer workers, more wealth flows to shareholders and …
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