Bret Taylor, who currently serves as the chair of OpenAI’s board of directors while also leading the AI agent startup Sierra as its chief executive, recently participated in an in-depth interview with *The Verge*. During the discussion, he was asked whether he agreed with an especially provocative remark made by Sam Altman, OpenAI’s CEO, who had suggested that the current surge of investment and enthusiasm surrounding artificial intelligence would almost inevitably result in someone — or more accurately, many participants — losing an extraordinary amount of money.
Taylor did not shy away from the comparison and, in fact, he largely aligned himself with Altman’s perspective. He openly acknowledged that the extraordinary pace of growth, speculation, and financial commitment in the AI sector does resemble the pattern of an economic bubble. Nevertheless, he did not communicate a sense of alarm or pessimism. Instead, much like Altman, he framed the situation as one in which two seemingly contradictory realities can coexist: on the one hand, the rapid maturation of AI technologies will likely produce widespread financial losses for overextended investors or unsustainable startups, but on the other hand, the very same wave of innovation has the potential to catalyze enduring economic transformation on a global scale.
To substantiate this nuanced view, Taylor pointed out that artificial intelligence possesses transformative potential comparable to epoch-defining innovations of the past, such as the rise of the internet. Just as the internet upended traditional industries, created entire new markets, and generated immense long-term value despite early turbulence, he argued that AI is positioned to become an equally monumental driver of economic expansion. At the same time, he was candid in stating that the financial ecosystem currently surrounding AI is highly inflated, and when that unsustainable growth eventually corrects, many individuals and organizations will face significant economic losses. For Taylor, however, these two outcomes are not mutually exclusive but rather tightly interwoven, a dynamic repeatedly illustrated by historical precedent.
Casting his comparison more concretely, Taylor drew a parallel to the dot-com bubble of the late 1990s. That era was defined by massive speculative investments in internet companies, many of which ultimately collapsed once reality failed to meet investors’ lofty expectations. Yet despite the widespread failures and financial devastation that followed, Taylor emphasized that the underlying intuition of those investors — the sense that the internet would dramatically reshape modern society — was fundamentally correct. As he succinctly put it, even though countless ventures disappeared when the bubble burst, “all the people in 1999 were kind of right.” By invoking this analogy, he underscored that bubbles, while destructive in the short term, often serve as accelerants for long-term progress by concentrating talent, capital, and public attention on technologies that do, in fact, prove transformative over time.
Thus, Taylor’s assessment of the AI industry is not one of denial or escapism but rather of realism informed by history: the current AI boom may indeed lead to significant monetary losses, but it will also lay the foundation for profound economic and technological advances whose impact will endure long after the speculative excess has faded.
Sourse: https://techcrunch.com/2025/09/14/openai-board-chair-bret-taylor-says-were-in-an-ai-bubble-but-thats-okay/
