Salesforce reportedly cuts jobs across Agentforce, MuleSoft amid AI push

Salesforce is cutting 86 roles across Agentforce, MuleSoft, and Marketing Cloud amid an AI-focused restructuring, following January layoffs of nearly 1,000 employees. CEO Marc Benioff previously suggested the company might rebrand around Agentforce, its AI-driven platform, which has seen over $1 billion in annualized revenue despite adoption concerns.
Salesforce is eliminating 86 positions across departments including sales, product, technology, and administrative functions, according to a California WARN notice cited by Business Insider. The cuts affect teams working on Agentforce, the company’s AI-powered platform, as well as employees in MuleSoft and Marketing Cloud. This follows January layoffs of nearly 1,000 employees, as Salesforce continues to prioritize AI-driven products over its traditional customer relationship management business. Agentforce, launched to capitalize on demand for AI automation, has become central to Salesforce’s strategy. CEO Marc Benioff told Business Insider in December 2025 that renaming the company after Agentforce was a possibility, stating such a move would ‘not shock’ him. Customer discussions have shifted toward AI agents, prompting Salesforce to rebrand offerings like Agentforce Sales, Agentforce Service, and Agentforce 365 Platform. Despite skepticism last year about Agentforce’s adoption and feature delivery, Salesforce reported in May that the platform surpassed $1 billion in annualized revenue. The company insists AI agents will increasingly handle workflows in sales, customer support, and other functions. However, the latest layoffs suggest internal restructuring as Salesforce aligns its workforce with its AI-driven future. The job reductions extend beyond Agentforce, impacting MuleSoft and Marketing Cloud teams as well. Salesforce has not issued a public statement on the layoffs, though regulatory filings show the company employed over 80,000 people as of January. The moves underscore the company’s aggressive push into AI while scaling back non-core operations.
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