The board chair likens today’s AI boom to the dot-com era — a time of overhype, big losses, and world-changing innovation
“We’re in a Bubble — and That’s Okay”
Bret Taylor, chair of OpenAI’s board and CEO of AI agent startup Sierra, agrees with a growing sentiment in Silicon Valley: AI is in a bubble. But like OpenAI CEO Sam Altman, he doesn’t see that as a crisis — in fact, it might be a necessary phase in tech evolution.
In a recent interview with The Verge, Taylor echoed Altman’s now-famous remark that “someone is going to lose a phenomenal amount of money in AI.”
“I think we’re also in a bubble, and a lot of people will lose a lot of money,” Taylor said. “But I think AI will still transform the economy.”
The Dot-Com Parallel
To make his case, Taylor pointed to a historical analogy: the dot-com bubble of the late 1990s.
- Yes, it was a time of irrational exuberance, inflated valuations, and spectacular startup failures.
- But it also laid the groundwork for Google, Amazon, and modern internet infrastructure.
“All the people in 1999 were kind of right,” Taylor noted, implying that overhype didn’t negate the deeper truth that the internet was transformative — just as AI is today.
In his view, AI’s long-term potential remains intact, even if many investors and startups get burned in the short term.
The Inevitable Shakeout
Taylor’s candid remarks suggest an increasing realism among industry insiders.
- Capital is pouring into AI at breakneck speed, with countless startups racing to build copilots, agents, and infrastructure tools.
- Yet only a small number will survive the eventual shakeout — a scenario eerily reminiscent of the early 2000s, when many dot-com darlings folded, and a few giants emerged.
Still, Taylor believes this boom-bust cycle is not only expected, but healthy for innovation.
“There’s a lot of historical precedent for both of those things being true at the same time,” he said.
Beyond the Bubble: Real Value Still Being Built
Even amid speculative excess, Taylor emphasized that real breakthroughs are happening:
- AI agents are rapidly evolving.
- Enterprise adoption is accelerating.
- Applications across healthcare, productivity, logistics, and software development are already showing signs of long-term economic value.
And for Taylor, who leads Sierra, a startup focused on AI-driven customer service agents, the goal is to build durable, useful products — not just ride hype cycles.
Why This Kind of Bubble Might Be Necessary
Taylor’s perspective is refreshingly pragmatic. Yes, bubbles create waste, but they also flood new sectors with talent, funding, and experimentation. The winners that emerge often reshape industries for decades.
“Bubbles are how we over-invest in a new paradigm — and how we get there faster,” as some economists have argued.
AI may be overfunded and overhyped in 2025 — but that doesn’t mean it’s overblown.
