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Two analysts downgrade Salesforce over slow AI adoption

Top Companies AI — US (2/2)2h ago
Two analysts downgrade Salesforce over slow AI adoption

Key takeaway

Two major research firms downgraded Salesforce on the same day because adoption of its flagship AI agent product, Agentforce, is progressing more slowly than public numbers suggest and the product is not yet mature. The shift threatens Salesforce's core business model: if AI agents do work that employees once did, customers may need fewer user licenses, potentially shrinking revenue instead of growing it.

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3 Key Points

  • What happened

    KeyBanc Capital Markets and Bernstein both downgraded Salesforce to Sector Weight on July 9, citing slower-than-expected adoption of Agentforce, the company's AI agent platform. The stock fell roughly 3% to 4% at its low before steadying the next day.

  • Why it matters

    Agentforce is central to Salesforce's growth strategy for the next decade, but analysts found that customers do not have data organized well enough for real AI work yet, and the product itself 'just isn't there' as a finished offering. A survey of chief information officers also showed more plan to trim Salesforce spending than raise it over the next year.

  • What to watch

    Salesforce has charged customers per user for 25 years, but now wants to shift to charging for work agents complete instead of headcount—a model still unproven at scale. If customers need months to prepare data before agents can run, revenue will arrive later than the company's bulls expect.

Context & Analysis

Salesforce faces a fundamental tension between its legacy business model and its AI future. For a quarter-century, the company has built predictable, growing revenue by charging customers per user license—a simple, scalable metric. But Agentforce is supposed to automate work that those users once did by hand. That creates a paradox: if the product succeeds and agents genuinely replace headcount, Salesforce's per-seat pricing collapses, and the company must reinvent how it captures value.

The dual downgrade on July 9 signals that Wall Street now believes Salesforce has underestimated how long this transition will take. Analysts point to two concrete barriers. First, customers cannot yet deploy agents effectively because their internal data is too messy and poorly organized—a prerequisite Salesforce cannot solve for them. Second, the company's new pricing model (charging for agent work rather than seats) remains unproven. KeyBanc analyst Jackson Ader summed up the skepticism bluntly: the only reason to buy the stock now is that it's cheap. Both firms also noted that chief information officers—the executives with software budget authority—are more inclined to reduce spending on Salesforce than increase it, a vote of no-confidence in near-term returns.

FAQ

What is Agentforce and why is it important to Salesforce?
Agentforce is Salesforce's AI agent platform—software that carries out tasks on its own rather than just answering questions. CEO Marc Benioff staked the company's next decade of growth on it.
Why are analysts concerned about Agentforce adoption?
KeyBanc and Bernstein found that customer data is not organized enough for real AI work, and Agentforce 'just isn't there' yet as a finished product. A survey of chief information officers also showed more plan to trim Salesforce spending over the next year than raise it.
How could Agentforce change Salesforce's revenue model?
For 25 years Salesforce has charged per user seat. The company now wants to charge for the work agents complete instead of headcount, though that model is still unproven at scale. If agents handle work people used to do, customers may need fewer seats, which could shrink revenue rather than grow it.

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