BN
|
TechAI Desk2 views

Bill Gurley Warns of AI Bubble and Imminent Market Reset

Bill Gurley, a Benchmark partner, warns that the AI boom has created a bubble driven by quick wealth gains, predicting a market reset. He cites economist Carlota Perez's theory linking bubbles to real technological waves. Gurley recommends investors buy beaten-down SaaS stocks after the correction, noting declines in Salesforce and ServiceNow. He highlights record AI spending by tech giants and high burn rates at startups like Anthropic and OpenAI, comparing them to Uber's past expenses. His comments reflect concerns about financial sustainability in the AI sector amid a software stock downturn.

Ad slot
Bill Gurley Warns of AI Bubble and Imminent Market Reset

Bill Gurley, a general partner at venture capital firm Benchmark, cautions that the artificial intelligence surge has formed a bubble due to rapid wealth accumulation, predicting an upcoming market correction.

Gurley's Bubble Warning

Gurley stated in an interview with CNBC's "Money Movers" that bubbles emerge when many individuals get rich quickly, drawing in more speculative investors. He emphasized that this phenomenon is tied to the genuine nature of the AI wave.

Theoretical Foundation from Carlota Perez

He referenced economist Carlota Perez's work, particularly her book "Technological Revolutions and Financial Capital," noting that bubbles only occur when the underlying technological revolution is real and impactful.

Ad slot

Investment Strategy for Post-Reset Opportunities

Gurley advised investors to prepare for the reset by targeting undervalued software-as-a-service (SaaS) stocks. He highlighted recent declines in key players:

  • Salesforce and ServiceNow have each dropped approximately 25% in 2026.
  • The iShares Expanded Tech-Software Sector ETF (IGV) is down about 20% this year.

Soaring AI Spending and Burn Rates

Major tech companies are investing heavily in AI infrastructure, with projected spending of around $700 billion this year by Amazon, Meta, Google, and Microsoft. Gurley pointed to the high cash burn rates at AI startups like Anthropic and OpenAI, describing them as "a scary way to run a company" compared to historical benchmarks.

Historical Comparison to Uber

Drawing from Benchmark's early investment in Uber, Gurley recalled the company's $2 billion annual burn rate during his involvement, which caused "high anxiety." He contrasted this with the even more aggressive spending by current AI firms, underscoring sustainability concerns.

Ad slot