Gurley Warns of AI Infrastructure Bubble, Urges Pivot to Beaten-Down SaaS Stocks
Key Takeaways
- Benchmark's Bill Gurley and NYU's Scott Galloway are sounding the alarm on an AI infrastructure bubble, suggesting that the market has unfairly punished the SaaS sector.
- They argue that established software leaders like ServiceNow and Salesforce are now undervalued entry points for the next phase of AI: the agentic application layer.
Mentioned
Key Intelligence
Key Facts
- 1Benchmark's Bill Gurley warns of an AI infrastructure bubble and suggests shifting to SaaS stocks.
- 2ServiceNow (NOW) is down 25% YTD despite 20%+ revenue growth and new agentic AI products.
- 3Salesforce (CRM) trades at a forward P/E below 15x, its lowest valuation in years.
- 4NYU Professor Scott Galloway believes fears over SaaS stocks are overdone and presents a buying opportunity.
- 5SaaS leaders like Workday and Salesforce are positioned as 'systems of record' for AI agents.
- 6Salesforce expects to maintain a 10% annual revenue growth rate through 2030.
| Metric | ||
|---|---|---|
| YTD Stock Performance | -25% | -25% |
| Forward P/E Ratio | 28x | <15x |
| Forward P/S Multiple | 7.5x | <4x |
| Revenue Growth Target | 20%+ | 10%+ |
Analysis
The current market cycle has been dominated by the 'picks and shovels' of the artificial intelligence revolution—semiconductors and data center infrastructure. However, Benchmark general partner Bill Gurley is now signaling a regime change. In a recent CNBC interview, Gurley warned that the fervor surrounding AI infrastructure may have entered bubble territory, creating a valuation disconnect between the hardware providers and the software companies that will ultimately deploy these technologies. This sentiment is echoed by NYU Professor Scott Galloway, who suggests that the recent sell-off in the Software-as-a-Service (SaaS) sector has created a generational buying opportunity for long-term investors.
The core of the argument rests on the transition from AI training to AI inference and application. While the market has poured capital into the chips required to train large language models, the 'systems of record'—the software platforms where enterprise data actually lives—have seen their valuations compressed. Gurley and Galloway argue that for AI to provide actual return on investment, it must be integrated into existing workflows. This places companies like ServiceNow and Salesforce in a unique position of strength. They own the data 'plumbing' that AI agents require to function without hallucinations or security breaches, making them the gatekeepers of the next productivity boom.
Despite a 25% year-to-date decline, the company maintains revenue growth exceeding 20%.
ServiceNow (NOW) exemplifies this shift. Despite a 25% year-to-date decline, the company maintains revenue growth exceeding 20%. Its strategic pivot toward 'agentic AI orchestration' through its new Tower control product suggests that ServiceNow intends to be the operating system for AI agents within the enterprise. By acting as a system of record for IT and HR workflows, the company is deeply entrenched in the corporate infrastructure, making it difficult for newcomers to displace. At a forward P/E of 28 times, it represents a significantly more conservative bet than many high-flying hardware names that are currently priced for perfection.
What to Watch
Similarly, Salesforce (CRM) has undergone a massive transformation to prepare for the agentic era. The acquisition of Informatica and the launch of Data 360 are not merely incremental updates; they are attempts to solve the 'data silo' problem that plagues AI implementation. By pulling data from legacy systems and cloud warehouses into a unified 'master of records,' Salesforce provides the ground truth for AI agents. With the stock down 25% this year and trading at a forward P/E below 15 times, the market appears to be pricing in a growth slowdown that ignores the potential tailwinds from AI agent deployment. Salesforce is expecting to grow its revenue at a more-than 10% annual rate through 2030, a target that seems achievable given its dominance in customer relationship management.
The broader implication for investors is a move toward 'value-oriented growth.' The SaaS sector, once the darling of the bull market, is now being treated with skepticism. However, if Gurley is correct, the infrastructure bubble will eventually deflate as capacity meets demand, shifting the focus back to the software layer where the actual productivity gains are realized. Investors should watch for a rotation out of semiconductor stocks and into high-quality SaaS names that possess proprietary data sets and established customer bases. The next phase of the AI trade will likely be won by those who control the interface between the model and the end-user, rather than those who simply provide the power to run them.
Sources
Sources
Based on 3 source articles- fool.comWall Street Analyst Warns of AI Bubble and Urges Investors to buy SaaS Stocks . 5 Stocks to Buy if He Is Right . Mar 21, 2026
- The Motley FoolWall Street Analyst Warns of AI Bubble and Urges Investors to buy SaaS Stocks. 5 Stocks to Buy if He Is Right.Mar 21, 2026
- Geoffrey Seiler (us)Wall Street Analyst Warns of AI Bubble and Urges Investors to buy SaaS Stocks. 5 Stocks to Buy if He Is Right.Mar 21, 2026
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|---|---|
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