Salesforce Still Has To Prove AI Is A Boost, Not A Bust

Salesforce just showed what every software company is learning in the AI era — beating the quarter is easier than winning the argument. The company reported first-quarter revenue of $11.13 billion, topping estimates, while adjusted earnings came in well ahead of expectations at $3.88 per share. Shares slipped before the open Thursday, after Salesforce’s second-quarter revenue forecast landed just shy of Wall Street’s target. The issue was not whether Salesforce had a bad quarter. It was whether the company’s AI pitch is moving fast enough to protect the software model that made it so powerful.

If investors were only grading the quarter, Salesforce had plenty to work with. Revenue rose 13% from a year earlier, current remaining performance obligations grew 14% to $33.6 billion, and the company nudged its full-year revenue outlook to $45.9 billion to $46.2 billion. Agentforce also gave Salesforce a more direct answer to the AI disruption fear. Salesforce said Agentforce and Data 360 annual recurring revenue reached nearly $3.4 billion, up more than 200% from a year earlier, including $1.2 billion from Agentforce and $1.1 billion from Informatica Cloud. Salesforce is not just defending against software automation. It is trying to sell it.

That leaves Salesforce financially strong, deeply invested in AI, and still trying to prove the technology can strengthen its model rather than unsettle it. The debate around enterprise software has changed. Investors no longer want to hear that every company has an AI product. They want to know how those products turn into durable revenue when AI starts doing the work. Salesforce has an answer. Now it has to prove the answer can renew at scale without eating into the seat-based economics that built the business.

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