Salesforce shares opened the session under pressure, sliding roughly 4.0% in pre-market trading after KeyBanc analyst Jackson Ader lowered his rating on the stock from Overweight to Sector Weight and did not provide a new price target. According to the firm, field checks and conversations with customers have produced little evidence that adoption of Agentforce is accelerating meaningfully.
Ader said the firm's latest CIO survey "delivered another blow," finding enterprise customers repeatedly identified two major obstacles. First, internal data remains insufficiently organized to support demanding AI workloads. Second, customers told the survey that Agentforce is not yet ready for broad deployment at scale.
Separately, the note highlighted that Starbucks Corp. is building internal tools using artificial intelligence that could supplant some software products it currently purchases from vendors such as Microsoft Corp. and International Business Machines Corp. That development fed into the negative narrative around demand for third-party enterprise software.
The downgrade intensified already fragile sentiment around the stock. Social platform activity from retail investors shifted to "extremely bearish" in the hours following the analyst note, the research house said. Salesforce had already experienced a pullback in the prior regular trading session and extended its losses overnight into pre-market trading.
Not all news was negative. Salesforce disclosed that the U.S. Air Force's 441st Vehicle Support Chain Operations Squadron selected its Missionforce National Security platform to manage a $13.5 billion fleet of roughly 84,000 vehicles across nearly 389 global locations. That contract did not prevent analyst-driven selling from dominating the session.
The wider market offered little offset. The S&P 500 traded down about 0.3% while the Dow Jones Industrial Average was off roughly 1.1%; the Nasdaq was only fractionally positive at about +0.2%. With no index-level tailwind, company-specific pressure on Salesforce went largely unchecked.
Enterprise-software peers also faced headwinds. Companies including ServiceNow and Adobe were described as navigating persistent fears that AI tools from competitors such as OpenAI and Anthropic could compress demand for traditional subscription-based software, leaving the broader sector in a difficult position.
Taken together, a credible Wall Street downgrade without a price-target floor, weak channel checks on Salesforce's key growth initiative, and sector-wide anxiety about AI-driven disruption pushed the stock down to about $160 in pre-market trading. That level sits well below the 52-week high of $274 and only modestly above the 52-week low of $146.32, which was recorded a few weeks earlier.
Clear summary
KeyBanc downgraded Salesforce, citing limited evidence of Agentforce adoption from field checks and a CIO survey that flagged poor internal data readiness for AI and that Agentforce is not yet ready for large-scale deployment. Retail sentiment turned sharply negative and the broader market provided little support, despite a significant Air Force contract award for Salesforce's Missionforce National Security platform.
Key points
- Analyst action: KeyBanc's Jackson Ader cut Salesforce's rating from Overweight to Sector Weight and offered no new price target, citing weak signs of Agentforce traction.
- Customer feedback: A CIO survey showed enterprises struggle with disorganized internal data for AI workloads and regard Agentforce as not ready for broad-scale deployment.
- Sector impact: Enterprise software peers, including ServiceNow and Adobe, are under pressure amid concerns that AI offerings from competitors may reduce demand for legacy subscription models.
Risks and uncertainties
- Product adoption risk - Agentforce adoption appears slower than expected, which could limit revenue upside tied to that offering; this affects enterprise software vendors reliant on new AI-driven modules.
- Data readiness constraint - Enterprise customers report internal data is not yet organized for demanding AI workloads, creating uncertainty around the timing and scale of AI-driven deployments across the market.
- Competitive displacement - Corporations developing in-house AI tools, such as Starbucks, may reduce spending on external enterprise software from vendors like Microsoft and IBM, introducing demand risk for those suppliers.