Salesforce's Data Dominance Proves Key to Its AI Success

The recent sell-off in software stocks has led to a misguided narrative about the impact of AI on the industry, according to Salesforce CEO Marc Benioff. The 'SaaSpocalypse' theory suggests that AI agents will automate away tasks currently handled by software companies, leading to a decline in their value.

However, this view is based on an incorrect assumption that AI models are the key drivers of innovation and growth. In reality, data is becoming increasingly important as a scarce resource in the AI economy. Salesforce's recent earnings report highlights its unique position as a provider of trusted proprietary data, which is essential for AI agents to function effectively.

The company's Data 360 ingested a staggering 104 trillion customer records this quarter, up 355% year over year. Meanwhile, AI agents themselves generate more data, which has to land somewhere trusted. This flywheel effect has propelled Salesforce's combined AI and data annual recurring revenue to $3.9 billion, more than tripling in a single year.

The numbers speak for themselves: non-GAAP operating margins hit 34.1%, adjusted earnings of $5.90 per share nearly doubled, and management raised full-year guidance to as much as $46.4 billion. But the most decisive evidence came from the top AI companies, which are now paying Salesforce and partnering with it.

The test generalizes far beyond Salesforce: firms with proprietary data that is valuable to AI agents should be better positioned to prosper, while software companies that offer little beyond functionality may struggle. Balance sheets will also matter as companies with strong free cash flow and little leverage have more room to reinvest in the AI transition.