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OpenAI Board Chair: AI Bubble Is Real But History Proves It's Fine

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OpenAI Board Chair: AI Bubble Is Real But History Proves It's Fine

Bret Taylor agrees with Sam Altman on AI bubble risks but draws dot-com parallels

by The Tech Buzz

PUBLISHED: Sun, Sep 14, 2025, 8:04 PM UTC | UPDATED: Fri, Sep 4, 2026, 9:17 PM UTC

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OpenAI Board Chair: AI Bubble Is Real But History Proves It's Fine

OpenAI board chair Bret Taylor just confirmed what many suspected - we're in an AI bubble, and people will lose "phenomenal" amounts of money. But in a candid interview with The Verge, Taylor channels dot-com era optimism, arguing that bubbles and transformative value creation aren't mutually exclusive.

The AI industry's most influential insider just dropped a reality check that's both sobering and surprisingly reassuring. OpenAI board chair Bret Taylor isn't sugarcoating the current market dynamics - he thinks we're absolutely in a bubble, and it's going to hurt.

"I think we're also in a bubble, and a lot of people will lose a lot of money," Taylor told The Verge's Nilay Patel this week. The admission comes just months after OpenAI CEO Sam Altman made headlines with his own bubble warning, telling investors that "someone is going to lose a phenomenal amount of money in AI."

But Taylor's perspective carries unique weight. As both OpenAI's board chair and CEO of AI agent startup Sierra, he's sitting at the intersection of the industry's biggest bets. His company just closed a $350 million funding round at a $10 billion valuation - the exact kind of deal that defines bubble territory.

The former Salesforce co-CEO isn't panicking, though. He's drawing parallels to the dot-com era, when companies like Amazon and Google were born amid spectacular failures. "I think it is both true that AI will transform the economy, and I think it will, like the internet, create huge amounts of economic value in the future," Taylor explained.

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Taylor's dot-com comparison isn't just historical nostalgia - it's strategic positioning. He argues that "all the people in 1999 were kind of right" about the internet's transformative potential, even as the bubble burst. The implication? Today's AI investments, even the losing ones, are betting on fundamentally sound technology.

This perspective matters because Taylor has credibility on both sides of the equation. Before joining OpenAI's board, he helped steer Salesforce through multiple tech cycles as co-CEO. He also co-founded FriendFeed, which Facebook acquired in 2009, giving him firsthand experience with both startup exits and big tech acquisitions.

The timing of Taylor's comments is particularly telling. Sierra is positioning itself as an "AI agent" company, building software that can handle complex customer service tasks autonomously. It's exactly the kind of ambitious AI application that could either justify massive valuations or become a cautionary tale.

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Meanwhile, the broader AI market is showing classic bubble signs. Nvidia's datacenter revenue hit $30 billion last quarter, driven almost entirely by AI demand. Venture funding for AI startups reached record highs in 2024, with companies raising hundreds of millions before proving sustainable business models.

But Taylor's optimism isn't blind faith. He's betting that AI will follow the internet's playbook - initial hype and crashes, followed by genuine transformation. The dot-com bubble gave us Amazon, Google, and social media. The question is which AI companies will emerge as the survivors.

For investors, Taylor's message is nuanced. Yes, prepare for losses. But also recognize that transformative technologies create bubbles precisely because their potential is real. The trick is identifying which companies will navigate the inevitable downturn.

Taylor's bubble warning comes with a silver lining rooted in tech history. While some AI companies will crash spectacularly, the underlying technology promises to reshape entire industries. For OpenAI and startups like Sierra, the challenge is building sustainable businesses before the music stops. The dot-com parallel suggests that's not just possible - it's inevitable for the right players.

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