A Familiar Frenzy: Bret Taylor Compares the AI Boom to the Dot-Com Era

In the rapidly accelerating world of artificial intelligence, a familiar voice from Silicon Valley's past has weighed in with a powerful comparison. Bret Taylor, the CEO of AI startup Sierra and former co-CEO of Salesforce, has drawn striking parallels between the current AI boom and the dot-com bubble of the late 1990s. 

The Sense of "Seismic Shift"

For Taylor, who co-founded Sierra after leaving Salesforce in late 2022, the moment AI became truly transformative was with the public release of large language models like ChatGPT. He describes it as an epiphany, a moment similar to his first encounter with the internet, where the world seemed poised for a seismic shift. This conviction led him and his co-founder, Clay Bavor, to build Sierra, a company focused on creating AI agents for customer experience, with a unique outcome-based pricing model: clients only pay when an AI agent successfully resolves a customer issue.

This business model is central to Taylor's argument. He believes that the real winners in the AI race will be companies that deliver tangible, measurable value, not those built on speculative hype. This is where he draws his strongest parallel to the dot-com era.

The Dot-Com Deja Vu

Taylor acknowledges the market's "irrational exuberance," a term famously coined by former Federal Reserve Chair Alan Greenspan to describe the stock market of the late 1990s. He agrees with figures like OpenAI CEO Sam Altman, who have warned that "someone is going to lose a phenomenal amount of money" in the AI space.

The similarities he points to are clear:

• Overvaluation: Many AI startups are commanding valuations of tens of billions of dollars with minimal revenue, driven by investor fervor and a fear of missing out. This mirrors the sky-high stock prices of companies like Pets.com and Webvan, which had no sustainable business model and eventually collapsed.

• The Hype Cycle: Just as the internet was seen as a panacea for all business problems in the '90s, AI is currently being marketed as a solution for everything from customer service to creative design. Taylor calls some of this activity "AI tourism," where companies experiment without a clear strategy for delivering real results.

• Capital-Intensive Nature: The cost of building and training large AI models requires immense capital, a barrier to entry that only a few tech giants can afford. This echoes the massive infrastructure spending that was required to build the early internet, which also led to many failures.

The Unavoidable Foundation

Despite the bubble concerns, Taylor remains fundamentally optimistic. He argues that just as the dot-com bust cleared the way for the rise of enduring giants like Amazon and Google, the AI shakeout will distinguish the true innovators from the speculative ventures. The fundamental value being created by AI—the ability to automate complex digital tasks, enhance human productivity, and create entirely new categories of software—is real and will continue to grow.

Taylor believes that we are witnessing the emergence of "agents," which he sees as the next dominant computing interface after websites and mobile apps. These autonomous digital entities will reshape how we work and interact with technology, delivering value in ways previously unimaginable. He predicts a shift from the traditional subscription model of software (where you pay for a "seat") to an outcomes-based model, where you pay only for results.

Ultimately, Bret Taylor's perspective is a sober but hopeful one. He acknowledges the risks of a bubble, but he is confident that the core technology and its potential for profound economic and societal change are not just hype. He sees a future where the current frenzy gives way to a new era of stable, transformative, and truly valuable AI applications, built on the foundations being laid today.