A Big Wall Street Bank Just Said Salesforce's AI Problem Isn't Really a Problem
On August 13, 2026, a J.P. Morgan analyst named Samik Chatterjee started covering Salesforce (ticker symbol: CRM) with a positive rating and a price target of $250 per share by December 2027, according to Yahoo Finance. The stock had not been rated by J.P. Morgan before, so this is a brand-new call. Chatterjee's main argument is that investors are too worried about whether Salesforce can compete in artificial intelligence. He called those worries "overblown."
A price target is an analyst's estimate of where a stock's price should be by a certain date. An Overweight rating means the analyst expects the stock to do better than similar companies the firm covers. So Chatterjee is saying two things: Salesforce should outperform its peers, and its stock should reach $250 by December 2027.
The worry about Salesforce is whether its AI products — mainly something called Agentforce, which helps businesses automate tasks — can bring in real new revenue. Or whether newer AI companies and the giant cloud providers like Microsoft, Amazon, and Google will take over that space and push Salesforce aside. Skeptics point to longer sales cycles for AI products, the risk that new AI tools eat into existing revenue, and the possibility that big corporate customers just test the products rather than committing to them.
Chatterjee disagrees. The practical meaning of "overblown" is that investors have been too pessimistic about how much AI revenue Salesforce can generate. Salesforce is not starting from zero in AI. It is adding AI features on top of its existing software, which is already used by a huge number of companies for managing customer relationships. The advantage: when customers already pay for Salesforce products, already have their data connected, and already hold licenses, it is much easier to sell them additional AI features. Think of it like a restaurant that already has loyal customers — getting them to try a new menu item is easier than convincing strangers to walk in the door.
The December 2027 target comes with a catch. Fifteen months is a long time, which gives the argument room to play out, but it also means the call is shielded from short-term results. If Salesforce's revenue from AI disappoints over the next year or two, a far-off target can simply be lowered without the analyst ever having been proven wrong. Investors should treat the December 2027 date as a feature that reduces pressure, not as a sign of strong conviction in a specific near-term turnaround.
The broader context here is that Salesforce's stock has been cheaper than the big AI infrastructure companies — the cloud giants and chipmakers — that have grabbed most of investor attention. Salesforce has traded below its own historical valuation levels and well below those AI-focused stocks. A bullish call from a top-tier bank does not close that gap by itself, but it does put a respected Wall Street stamp on the idea that the discount is too steep.
For everyday investors, the takeaway is simple. A major Wall Street firm just told its clients that Salesforce's AI story is better than the market thinks, and it put a $250 price tag on that belief. Whether that belief pays off depends on how well Salesforce executes over the next 15 months — and on whether the concerns Chatterjee calls "overblown" turn out to be premature rather than wrong.
