Bill Gurley, a prominent Silicon Valley venture capitalist and general partner at Benchmark Capital, has offered insights into how investors might approach the current downturn in Software-as-a-Service (SaaS) stocks, a trend he refers to as the "SaaSpocalypse." Despite the market’s anxiety, Gurley remains cautiously optimistic about the long-term value of SaaS companies, even as generative AI tools like Claude Code’s latest app-building update threaten to disrupt traditional software giants such as Salesforce, Atlassian, and DocuSign. Speaking on CNBC’s Squawk Box, Gurley compared the current mood to the post-Facebook IPO panic when mobile disruption sparked fears of a major tech shift. He noted that while Facebook’s stock dropped from $42 to $18, today’s concerns are more widespread and intense. “I’ve never seen a disruption that had this much anxiety and go across so many companies,” he said. Still, Gurley pointed out that even AI-native companies continue to rely on legacy SaaS tools. For example, Anthropic, the maker of the Claude chatbot, uses products from Workday and Salesforce. “They're paying for these things,” he emphasized, suggesting that the demand for established SaaS platforms hasn’t disappeared. He advised investors to take a contrarian approach during periods of panic, echoing Warren Buffett’s philosophy: “You shouldn't be blogging about what's wrong with the prices. You should be quiet and picking them up off the floor.” In other words, downturns present buying opportunities for those with confidence in the underlying businesses. Gurley also raised concerns about the growing circularity in AI and infrastructure deals. He highlighted the recent agreement between Meta and Advanced Micro Devices, in which Meta will purchase six gigawatts of computing power from AMD, potentially leading to Meta owning up to 10% of AMD’s stock. He warned that such arrangements—where AI companies buy hardware and, in return, receive equity—create self-reinforcing loops reminiscent of past financial excesses. He recalled testing this structure with ChatGPT, asking it to describe a deal model without naming companies. The AI responded with terms like “Enron” and “WorldCom,” indicating that the pattern itself raises red flags. “I didn't say which companies they were,” Gurley said, underscoring the structural risks. He doubts regulators will intervene before these deals unravel, predicting that when the inevitable correction comes, people will look back and question why such arrangements were allowed. On a more personal note, Gurley remains enthusiastic about AI’s potential as a force multiplier for individuals. He called AI “jet fuel” for people passionate about their work, enabling faster learning and greater productivity. “You can learn faster than you could have ever learned at any point in history right now,” he said. Despite the turbulence, Gurley reaffirmed his love for venture capital. “If we lived in a society where all jobs paid the same, I would have still done venture capital,” he said. “I just had so much fun being a part of it.”