Salesforce Spends $3.6B on Fin Amid Six-Deal AI Spree

Salesforce doubles down on AI acquisitions

Salesforce has completed or announced at least six acquisitions since December 2025, with the $3.6 billion purchase of AI customer service platform Fin marking its most significant recent deal. The acquisition spree represents CEO Marc Benioff's effort to position the company as an AI leader, yet the stock has fallen roughly 40% in 2026 as investors remain skeptical about the future of seat-based software business models.

The Fin acquisition, announced two weeks ago, brings an AI agent capable of handling complex customer queries across email, WhatsApp, Slack, and other channels. Salesforce said the platform will complement its Agentforce suite, particularly targeting small and medium-sized businesses. Fin operates on its proprietary Apex AI model and represents what the industry calls an agentic system—technology that can plan and execute tasks with minimal human intervention, going beyond simple prompt responses.

Why it matters

The disconnect between Salesforce's aggressive M&A strategy and its stock performance illustrates a broader market concern: that AI-native tools could allow customers to build their own applications in-house, undermining the traditional SaaS subscription model. This "SaaSpocalypse" narrative has hit legacy software providers hard, even as they race to acquire AI capabilities. The outcome will influence how enterprise software companies navigate the transition to AI-powered services.

A string of smaller deals follows $8B Informatica buy

Beyond Fin, Salesforce this month announced acquisitions of M3ter, a usage-based billing platform, and Contentful, a content management provider whose customers include Kraft Heinz and Swiss shoemaker On. Terms weren't disclosed for either deal, suggesting smaller valuations. The company also completed purchases of Qualified for agentic marketing and Cimulate for agentic e-commerce, with undisclosed prices.

These transactions follow Salesforce's $8 billion acquisition of cloud data management company Informatica last fall, one of its largest deals ever. The company framed that purchase as essential to its AI strategy, given that data quality is fundamental to AI system performance.

Wall Street remains unconvinced

Salesforce shares declined for 14 consecutive trading days beginning June 2, hitting a multiyear closing low of $150.12 on June 22. The stock is down approximately 17% in June alone, marking its second-worst monthly performance in three years. A brief rally following better-than-expected quarterly results on May 27—when shares surged nearly 19% over two days—quickly reversed.

D.A. Davidson analyst Gil Luria, a prominent Salesforce bear, said the acquisitions won't change investor sentiment. "You can't fight narrative," Luria said in an interview. "They can argue with investors until they're blue in the face. It's not going to change investors' minds that AI is a disruption risk for software."

Other analysts see strategic value in the approach. Cantor Fitzgerald analysts wrote in a June 15 note that incumbent SaaS vendors "could acquire their way to the winner's table in the AI-era" if executed properly, noting that AI-native startups have innovative products but lack scale, financial resources, and distribution.

Agentforce traction versus core business concerns

Salesforce has reported that Agentforce now has $1.2 billion in annual recurring revenue. Combined with its data management products Informatica and Data 360, the three products generate nearly $3.4 billion in ARR, up more than 200% year-over-year. The company projects roughly $46 billion in revenue for fiscal 2027.

Yet Luria argues the company should prioritize fixing its core business rather than emphasizing the AI pivot. RBC Capital Markets analyst Rishi Jaluria, who holds a neutral rating on the stock, expressed concern about integration risk. "There's just additional integration risk at a time where Salesforce, I believe, really needs to get Agentforce right," Jaluria said.

Salesforce defended its M&A strategy in a statement, saying its framework is "highly selective and focused on strategic fit, integration discipline, margin and cash flow parameters, and advancing our agentic AI roadmap to drive customer value."

The details were first reported by CNBC.