Salesforce to cut 74 jobs in fourth layoff round in less than a year
Salesforce cut 86 positions in June 2026, targeting technology, product, sales, and general administration teams spread across California and several international offices.
This latest round follows an earlier 2026 reduction that eliminated fewer than 1,000 roles, with marketing and product development bearing the brunt.
When AI replaces a department, not just a task
The company’s support team shrank from 9,000 people to 5,000, and the mechanism behind that cut is worth dwelling on: AI agents now handle roughly half of all customer interactions.
CEO Marc Benioff has publicly credited AI implementations with meaningfully boosting engineering output, and the company insists it’s achieving more without proportionally growing its teams.
The roles affected in June included teams supporting Agentforce, Salesforce’s AI agent platform, along with MuleSoft integration tools and Marketing Cloud software.
A $1.2B AI business with a 30% stock discount
Salesforce reported $1.2 billion in AI-related revenue in the period immediately before the June layoffs.
Salesforce’s stock is down more than 30% year-to-date, a decline that reflects investor uncertainty about the long-term structure of the CRM business under AI pressure.
The company is actively transitioning toward usage-based monetization, which means pricing tied to how much the AI actually does rather than how many seats a customer buys.
What this means for the enterprise software landscape
The broader 2026 tech layoff trend has been explicitly linked to AI adoption across multiple companies, and Salesforce fits squarely into that pattern. A customer support team dropping from 9,000 to 5,000 is a concrete signal of how quickly AI can reshape a specific function at scale.
With a workforce still above 83,000 people, Salesforce is clearly not in contraction mode. The company is making targeted bets on where human expertise adds value that AI currently can’t replicate, while systematically replacing functions where the productivity math now favors machines.
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
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