Salesforce has a problem that no amount of marketing can fix. The company has built its entire narrative around Agentforce, its AI agent platform, and the numbers look impressive on paper: 29,000 deals closed, $800 million in annual recurring revenue, and a roadmap that promises to replace entire categories of human work. But Wall Street is not buying it, and the gap between what Salesforce shows on stage and what customers actually use keeps getting wider.
The stock tells the story. Salesforce shares fell nearly 21 per cent in 2025 and have dropped another 30 per cent so far in 2026. The decline tracks a broader selloff in software-as-a-service companies, an event the market has taken to calling the SaaSpocalypse. Roughly $285 billion in SaaS market capitalisation evaporated in a single 48-hour window in February. The logic is simple: if one AI agent can do the work of ten employees, why would a company pay for ten seats?
Salesforce has tried to get ahead of that question by positioning itself as the company that sells the agents rather than the seats. CEO Marc Benioff has called Agentforce a “digital labour platform.” On earnings calls, the company cites the 29,000 deals and the ARR figure as proof that enterprises are buying in. However, the showcase examples keep falling apart under scrutiny.
Demos That Disappoint
At Dreamforce, Salesforce demonstrated a Williams-Sonoma AI agent called Olive that was supposed to act as an agentic sous chef, helping customers plan meals and find products. In practice, Olive struggled with specific questions and recommendations. The agent’s more advanced capabilities were described using future tense — “will soon be able to” — rather than as features that were live. This raised questions about how realistic the demonstrations actually were.
A similar pattern appeared with the University of Chicago Medicine. Salesforce presented the hospital system as a flagship Agentforce for Health deployment. The reality was more modest: UChicago Medicine’s first AI agent launched on web chat to handle basic questions like parking directions and clinic availability. The more ambitious features, including voice-based patient support, were still in development. The contrast between the marketing and the actual deployment could not be sharper.
SharkNinja, the maker of Shark vacuums and Ninja kitchen appliances, was another headline customer. Salesforce said the company would use Agentforce to streamline customer service. Bloomberg reported a 20 per cent reduction in support calls as part of the pitch. But the deployment described was forward-looking, with agents expected to “guide customers through the buying process” and “manage returns,” not a report on outcomes already achieved. The promise once again outpaced the reality.
The Overselling Epidemic
This matters because Salesforce is not the only company overselling AI capabilities. Apple agreed to pay $250 million in May to settle a class action lawsuit alleging it had exaggerated what Apple Intelligence and a smarter Siri would deliver when it launched the iPhone 16. The settlement covered claims that the company’s marketing went well beyond what the technology could do at launch. Salesforce appears to be following a similar playbook, hyping capabilities that have not yet been fully implemented.
Salesforce’s financial trajectory adds another layer. Revenue growth has slowed from roughly 25 per cent a few years ago to about 10 per cent in fiscal 2026, when the company reported $41.5 billion in total revenue. That is still a large business, and the company delivered a strong fourth quarter with 12 per cent growth. But the deceleration is exactly what investors fear when they hear that AI agents will compress the number of human users who need software licences.
The company has tried to address the pricing question. Agentforce uses a consumption-based model rather than traditional per-seat pricing, charging for what Salesforce calls “agentic work units.” It has consumed nearly 20 trillion tokens and converted them into more than 2.4 billion such units. Whether that model can grow fast enough to offset the structural threat to seat-based revenue is the central bet.
Mixed Signals from Customers
Smaller customers illustrate both the promise and the cost. The city of Kyle, Texas, deployed Agentforce to run its 311 service, handling more than 12,000 resident requests since March 2025 with nearly 90 per cent first-call resolution. Bloomberg reported the city doubled its Salesforce spending to $300,000. For a fast-growing municipality, that may be a reasonable investment. For enterprise customers weighing the same calculus at scale, the economics are less clear. A large corporation with hundreds of thousands of employees would face a dramatically different cost-benefit analysis.
The competitive pressure is real. SAP unveiled its Autonomous Enterprise with more than 200 AI agents and an Anthropic partnership at Sapphire 2026. ServiceNow, Google, and Microsoft are all building agent platforms. The question is no longer whether AI agents will reshape enterprise software but whether Salesforce can maintain its position as the market reprices around it. Each competitor is vying for the same enterprise budgets, and Salesforce’s premium pricing may become harder to justify if the technology does not deliver on its promises.
Benioff has responded with characteristic confidence, announcing a new revenue target of $60 billion by fiscal 2030. He has also committed $50 billion in share buybacks, a signal to investors that the company believes its stock is undervalued. Slack’s transformation into an agentic platform, with more than 30 new AI capabilities and mandatory bundling with every new Salesforce account from this summer, is part of that push. Yet even this aggressive bundling strategy carries risks: forcing customers to pay for AI capabilities they may not be ready to use could fuel resentment.
The Credibility Test
None of this resolves the core tension. Salesforce is asking customers to pay for a future that its own demos have not yet delivered, while asking investors to trust that consumption-based AI revenue will replace the seat-based model that built the company. The 29,000 deals are real. The $800 million in ARR is real. But the agentic AI market rewards outcomes, not announcements, and the gap between the two is where Salesforce’s credibility will be tested.
Historical context suggests that companies that oversell emerging technologies often face a painful correction. During the dot-com boom, enterprise software vendors frequently promised revolutionary capabilities that took years to materialize. Salesforce itself rose to prominence by disrupting legacy CRM systems with cloud-based subscription software. Now it finds itself in the position of the incumbent, defending its business model against a new wave of disruption. The difference is that this disruption comes from within its own product line: if Agentforce truly works as advertised, it will cannibalize the seat-based revenue that Salesforce has relied upon for decades.
Analysts are divided. Some argue that the consumption model is exactly what enterprises need to adopt AI at scale without committing to per-user licenses. Others warn that the unit economics do not yet add up for large customers. The city of Kyle example shows that for a small organization, the increased spending can be manageable. But for a global enterprise with tens of thousands of employees, the shift from paying per seat to paying per transaction could lead to higher costs with less predictable budgets. Salesforce has not provided enough data to settle this debate.
The broader SaaS market is also in flux. The so-called SaaSpocalypse reflects a fundamental reassessment of how AI will affect software spending. If AI agents can perform the work of many human users, the total addressable market for software seats could shrink. Salesforce’s pivot to agentic AI is a bet that it can capture enough of the new spending to offset the decline. But the early evidence suggests that customers are cautious. Many are running pilot programs or limited deployments, not the sweeping transformations that Salesforce envisions.
Investors will be watching the next few quarters closely. If Salesforce can show that Agentforce is driving net new revenue growth rather than simply cannibalizing existing license sales, the stock may recover. If the gap between demos and reality persists, the pressure will only intensify. Benioff’s $60 billion target and buyback program are bold moves, but they cannot substitute for a product that consistently meets the expectations set during earnings calls and product launches.
Ultimately, Salesforce’s credibility hinges on whether its customers can turn AI agent demos into production systems that save time and money. The 29,000 deals are a start, but the true test will come when those deals need to be renewed and expanded. In the fast-moving AI market, promises are cheap, but outcomes are the only currency that matters.
Source: TNW | Apps News