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Morgan Stanley Downgrades Salesforce on Slow AI Growth Payoff

Morgan Stanley Downgrades Salesforce on Slow AI Growth Payoff
Tech · 2026
Photo · Eleanor Whitfield for Daily Digest Invest
By Eleanor Whitfield Markets Editor-in-Chief Jul 21, 2026 3 min read

Morgan Stanley, a global investment banking firm, has downgraded Salesforce to equal-weight from overweight and cut its price target to $185 from $287, signaling skepticism that the company's artificial intelligence push is translating into real revenue growth.

The downgrade reflects a view that Salesforce's Agentforce AI initiative—which aims to embed autonomous AI agents into its software—has not yet produced a measurable pickup in organic growth, the kind of growth that comes from existing operations rather than acquisitions or one-time events.

What Is Agentforce and Why It Matters

Salesforce is repositioning its software for what the industry calls an 'agentic' future. Instead of just suggesting actions, AI tools in this model can take actions inside a company's systems—like updating customer records, triggering workflows, or sending follow-up emails—without human intervention. The idea is to move beyond the traditional seat-based subscription model, where users pay for access to screens and dashboards, toward a system where the valuable bits are customer data, permissions, and workflow rules.

Morgan Stanley acknowledges that this is a smart long-term strategy. By separating the underlying data and permissions from the user interface, Salesforce could create new revenue streams tied to AI-driven actions rather than just logins. But the bank argues that the key performance indicators for Agentforce—metrics like agent usage, customer adoption, and revenue from AI features—haven't yet shown up in the company's organic growth numbers.

What the Downgrade Means for Investors

For everyday investors, the downgrade is a reminder that hype around AI doesn't always translate into immediate financial results. Salesforce shares have been buoyed by enthusiasm around generative AI, but Morgan Stanley's move suggests that the market may be getting ahead of itself.

The new price target of $185 implies a significant downside from the stock's recent levels. Investors should watch for Salesforce's next earnings report to see if organic growth shows any acceleration. If Agentforce adoption is real, it should eventually show up in revenue and customer retention metrics. If not, the stock could face further pressure.

This is not an isolated case. Across the tech sector, companies are racing to integrate AI into their products, but investors are increasingly demanding proof that these investments are paying off. For example, Alphabet's recent earnings showed strong revenue growth, but questions remain about whether AI spending is justified. Similarly, MSCI shares slid on higher cost outlook despite strong fee growth, highlighting the market's focus on profitability.

Broader Market Context

The downgrade comes at a time when the market is reassessing the value of AI-driven growth stories. While AI has been a major theme driving stock prices, the reality is that many companies are still in the early stages of monetizing their AI investments. Salesforce's situation is a case study in the gap between strategic vision and financial execution.

Morgan Stanley's move also reflects a broader trend among analysts to take a more cautious stance on high-growth tech stocks. The bank's own preference for Bunge over ADM shows a shift toward value-oriented plays in other sectors. And its view on DPC suggests that even strong demand may not justify elevated valuations after a post-IPO rally.

What to Watch Next

Investors should keep an eye on Salesforce's next quarterly results, due in late August. Key metrics to watch include organic revenue growth, customer additions for Agentforce, and any guidance on AI-related revenue. If the company can show that Agentforce is starting to move the needle, the stock could recover. If not, the downgrade may prove prescient.

For now, the message from Morgan Stanley is clear: AI promises are not enough. Investors need to see the numbers.

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