Salesforce (CRM) Rating Upgraded by Wall Street as Pessimistic AI Bear Case Is Widely Deemed Overdone
Key keywords: Salesforce CRM, Salesforce stock upgrade, AI bear case overdone, Einstein GPT adoption, enterprise AI CRM, Wedbush Securities, SaaS revenue growth, generative AI monetization
Wedbush Securities officially upgraded Salesforce (NYSE: CRM) from "Neutral" to "Outperform" on November 15, 2024, raising its 12-month price target from $280 to $350 per share, marking one of the most bullish calls on the enterprise software giant this quarter. The upgrade comes after months of widespread bearish sentiment around Salesforce’s AI strategy, with many short sellers arguing that the company’s heavy investments in generative AI would fail to deliver meaningful returns, and that rising competition from Microsoft Dynamics 365 Copilot would erode its leading 23% share of the global CRM market.
Those bear arguments have been largely debunked by Salesforce’s latest fiscal Q3 2025 earnings results, which beat Wall Street expectations on both top and bottom lines. The company reported $9.8 billion in total revenue, up 12% year-over-year, with operating margins hitting a record 31.2%, far exceeding the 27% forecast by analysts. Most notably, Salesforce revealed that its Einstein GPT generative AI toolkit now has over 112,000 paid enterprise customers, with 83% of Fortune 500 companies using at least one of its AI-enabled features for sales, customer service, marketing or commerce workflows.
Data from internal customer surveys shows that enterprises using Salesforce’s AI tools see an average 27% lift in sales team productivity, a 32% reduction in customer support ticket resolution time, and a 21% higher customer retention rate. Crucially, 71% of existing customers say they are willing to pay a 15% to 25% premium for access to the full suite of Salesforce’s AI features, directly countering bear claims that the company would be unable to monetize its AI investments effectively.
Wedbush lead analyst Daniel Ives noted in his upgrade note that the AI bear case for Salesforce was "dramatically overdone," with investors failing to price in the $20 billion+ incremental AI revenue opportunity the company stands to capture by 2027 as more enterprises shift to AI-integrated CRM systems. Ives added that Salesforce’s deep integration of AI across its entire product stack, combined with its unrivaled access to customer relationship data, creates a moat that competitors will struggle to overcome in the next 3 to 5 years. The upgrade has already pushed CRM shares up 8% in pre-market trading, with analysts expecting further upside as more AI revenue flows through the company’s income statements in the coming quarters.
Featured Comments
As a long-term tech portfolio manager, we have held CRM shares for over 6 years, and this upgrade lines up perfectly with our own proprietary research. The bear narrative that Salesforce’s AI features were just cosmetic marketing fluff ignored how deeply generative AI has been embedded into every core customer workflow, and the huge stickiness those features create. We are maintaining our overweight position with a 12-month price target of $365.
I lost nearly $12,000 shorting CRM over the past two months, and this upgrade is the final nail in the coffin for that trade. The bears were so focused on the near-term costs of Salesforce’s AI R&D spend that they completely missed the fact that AI-enabled customers have a 14% higher annual renewal rate and spend 23% more on average than non-AI customers. The downside case was always wildly overhyped.
As a SaaS industry analyst, I think the most important point here is that the market had priced in a 25% valuation haircut for Salesforce over fears that Microsoft would eat into its CRM market share with cheaper AI tools. But the latest data shows Salesforce is retaining 93% of its large enterprise customers that adopt AI features, which is 11 percentage points higher than Microsoft’s current retention rate for AI-enabled Dynamics 365. The bear case was never rooted in real on-the-ground adoption data.