Bubble or Boom? Taylor Sees Both in AI’s Future

Bret Taylor, chair of OpenAI’s board and CEO of the AI company Sierra, has acknowledged that artificial intelligence is in the midst of a bubble. Yet, he maintains this is not necessarily a cause for alarm. In his view, periods of excess and speculation often accompany transformative technologies—and while they create risks, they also accelerate innovation.

Parallels with Past Tech Manias

Taylor draws a direct comparison to the dot-com boom of the late 1990s and early 2000s. That era was characterized by soaring valuations, a flood of startups, and eventual high-profile collapses. However, it also produced enduring giants that shaped the modern internet economy. Taylor believes the AI sector is following a similar path: many firms may falter, but the underlying technology will fundamentally reshape industries.

Data Points Show Both Growth and Hype

The rapid adoption of AI tools illustrates the scale of interest. ChatGPT attracted 100 million users within just two months of launch—an unprecedented pace in consumer technology. Meanwhile, chipmaker Nvidia, central to powering AI models, has seen its valuation climb to about US$4 trillion, making it one of the most valuable companies in the world. These milestones highlight both the genuine momentum and the speculative enthusiasm driving the sector.

Balancing Risk and Opportunity

Taylor notes that investor excitement is a double-edged sword. The surge of capital has enabled massive progress in research, infrastructure, and deployment of AI models. At the same time, he warns that many companies offering exaggerated claims or unsustainable products will likely disappear. Still, he argues that the ecosystem as a whole benefits from the speed and scale of experimentation, as it accelerates the path toward real and lasting breakthroughs.

Looking Ahead: Sustaining Value Beyond the Bubble

The trajectory of AI will depend on how quickly businesses can turn experimental deployments into profitable applications, how regulators respond to ethical and safety concerns, and how investors adjust expectations. While a market correction is likely, Taylor believes the long-term outcome will be overwhelmingly positive, with a handful of resilient companies and technologies emerging as leaders.

For Taylor, today’s AI surge may resemble a bubble—but it is one built on a foundation of transformative change, not empty speculation.