Salesforce struggles highlight marketing’s agentic AI challenges
▼ Summary
– Only 34% of Salesforce customers have adopted Agentforce since its 2024 launch, causing over $200 billion in market value loss and analyst skepticism about product readiness.
– KeyBanc analysts cite data readiness and product maturity as barriers, noting many enterprises lack clean, structured data and that deployments remain limited to proof-of-concept projects.
– Salesforce CEO Marc Benioff defends Agentforce as the company’s fastest-growing product, dismissing analyst downgrades as a “bad call” and emphasizing long-term opportunity.
– Wall Street concerns have led to multiple downgrades and a 50% share price drop from December 2024 peak, though some analysts and investors see upside potential.
– For marketers, the slow adoption highlights the need to prioritize data quality and integration over deploying AI agents, as enterprise AI success depends on a strong data foundation.
When Salesforce CEO Marc Benioff declared the company was “all in on Agentforce” at its 2024 launch, the promise was clear: autonomous AI agents would reshape customer service, sales, and marketing. Yet the reality has been far less revolutionary. Only 34% of customers have adopted the platform, and Salesforce has shed over $200 billion in market value. Analysts now argue Agentforce simply isn’t ready for prime time.
This raises a critical question for marketers: Is the reluctance around agentic AI about a lack of interest, or a lack of readiness? And more importantly, what does that mean for the marketing teams hoping to deploy these tools?
Salesforce originally pitched Agentforce as a way for businesses to build and deploy AI agents that could handle routine tasks autonomously, from answering customer inquiries to automating sales workflows. Benioff called it the next major evolution of enterprise software, promising to transform how companies interact with customers. But early customer feedback told a different story. Many users reported spending as much time preparing and organizing data as they did actually using the AI.
The skepticism crystallized this month when KeyBanc Capital Markets downgraded Salesforce, citing slow adoption. Their research revealed that only about 23,000 of Salesforce’s 150,000 customers are actively using Agentforce. Bernstein issued its own downgrade the same day, an unusual convergence for a company of Salesforce’s size.
Why customers aren’t ready for autonomous AI
KeyBanc’s analysis points to two core obstacles. First is data readiness. AI agents rely on clean, structured, and connected data to make decisions and complete tasks. But many enterprises still wrestle with fragmented CRM records, disconnected systems, and inconsistent customer information. Without that foundation, the AI simply cannot perform.
Second is product maturity. Based on conversations with Salesforce partners and customers, analysts concluded that most Agentforce deployments remain in the early stages, limited to proof-of-concept projects rather than enterprise-wide rollouts. Their CIO survey also found that more organizations expect to reduce Salesforce spending over the next year than increase it.
“Partners we speak with are just now beginning to convert Agentforce proof of concepts into deals in the pipeline, and more CIOs in our survey expect to deprioritize Salesforce within their IT budget than the other way around over the coming 12 months,” wrote KeyBanc analysts led by Jackson Ader.
This suggests the real challenge isn’t convincing companies of agentic AI’s potential. It’s giving them the data and operational foundation required to deploy it successfully.
Wall Street doubts Salesforce’s AI strategy
The financial fallout has been severe. Salesforce shares have fallen more than 50% from their December 2024 peak, wiping out over $200 billion in market value as investors question whether Agentforce can become the company’s next major growth engine.
KeyBanc summarized its concerns bluntly: “Customers’ data is not in order to do meaningful AI work,” and “Agentforce, as a product, just isn’t there.”
Salesforce rejects that assessment. Benioff publicly dismissed the KeyBanc report as a “bad call” and pointed to internal metrics showing Agentforce is the fastest-growing product in the company’s history.
“People think we have our back against the wall when, in fact, the opportunity has never been greater,” he told The Wall Street Journal.
Not every analyst shares KeyBanc’s view. Andreessen Horowitz recently reported that companies investing heavily in AI increased their median Salesforce spending by 3% over the previous three months. Guggenheim upgraded the stock to Buy, and Monness, Crespi, Hardt also raised its rating, arguing that Salesforce shares have meaningful upside despite current concerns.
Salesforce is also investing to address the problems slowing adoption. The company has added technology that automatically pulls customer data from external sources and expanded its data-management capabilities through acquisitions, including Informatica, to improve data integration and governance before customers deploy AI agents.
What this means for marketers
The debate over Agentforce is less about Salesforce than about the state of enterprise AI. For marketers, this shifts the priority. Organizations hoping to automate campaign execution, lead qualification, customer service, and personalization are likely to see greater returns from improving data quality, integration, and governance than from deploying more AI agents before their CRM data is ready.
Agentforce’s adoption rate is a measure of enterprise AI readiness. The companies moving fastest won’t necessarily be those buying the newest AI software. They’ll be the ones that already built the data foundation those systems need to deliver meaningful results.
(Source: MarTech)
