Analysts review the charts so that AI tools rebuild their daily work. Credit: Yan Krukau of Pexels via Canva.com
Salesforce not only uses AI, but is reorganized around it. On June 26, 2025, CEO Mark Benioff claimed that artificial intelligence has completed more than 30-50% of the company's work. From a customer service perspective, this is more than just a technical update. It is a statement of intent. By the time thousands of Salesforce employees are fired, pressing questions arise that encompasses what they actually look like, beyond efficiency, including the workforce that drives ethics, the economy, and the AI.
But what does half of the job actually mean? Is this technology executive showing his skills publicly, or is this the future of white-collar employment?
What Benioff said
At the AI Now event in Washington, Salesforce CEO Mark Benioff made the bold claim that AI is currently doing 30-50% of its work at Salesforce. This comment came as part of a larger conversation about how AI is reshaping its current business operations, from code generation to customer service.
Salesforce spent last year integrating AI into its production suite. From Einstein GPT for sales forecasting to automated customer support chatbots, this push was loud, consistent and external.
Internally, Salesforce deploys AI to exchange or reduce the burden of human-performed tasks, such as document processing, scheduling, and drafting internal communications.
Still, 50% is a fairly large number, and if there is no transparency, it is also unclear what tasks are mentioned. For who? And what costs will it cost?
AI is replacing workers across the industry.
This is happening in deeper reconstructions across the white-collar sector. Companies can call it a transformation, and people call it a quiet cul.
Earlier this year, Duolingo moved to AI, replacing contract workers who created language lessons and moderated content. The company said it is now AI-First. Even the role of support was unimmunized as users reported slower responses and general replies that caused rebound from loyal customers.
- In banking, Goldman Sachs We boast that AI can condense IPO documents by 95% within minutes. This is a justified job for junior analysts and does not exist today.
- HSBC We test AI agents to automate 90% of our daily back-office tasks.
- Working daysother companies are selling HR tools to help people hire and retain, citing more organizations around AI products, cutting over 1,700 roles.
This is not like innovation, it's like a structural surrender to automation. The same pattern is displayed elsewhere.
- Meta, Amazonand Microsoft Everything is reshaping a team with AI priorities.
- Intel We are laying off staff related to the chip division, citing the transition to “Ai-Enhanced Architecture.”
- Even Amazon It's thinned in favor of LLM-based support.
This is a tendency to quietly remove people from businesses, focusing primarily on AI. If you're an employee wondering what it means at your desk, the message is much less uplifting as AI will rise and do relatively obsolete work in 2025, and expect unexpected things to be about your work as well.
The role will be replaced
Salesforce AI conversions do not occur in vacuum. I followed a series of layoffs. Between 2013 and 2024, the company reduced its global workforce by more than 10%. Due to the thousands of jobs that have disappeared, many of these roles are now being replaced by Ai-Enhanced productivity.
However, online workers have already pointed out the disconnection. If the machine does half of the company's job now, whose job was it? And what happened to the team that did that?
Insiders suggests step-by-step replacement of roles, from support agents and content writers to even HR and administrative tasks.
And it's not just Salesforce headlines that companies like Oracle, Microsoft, and Hubspot are already integrating AI into sales, customer service and analytics. However, none of them publicly acknowledge that the production of their labor is currently being generated by AI.
If AI is responsible for this work and things go wrong, is it a developer, employer, or the machine itself? As AI-driven decisions shape customer outcomes, data analytics and even legal recommendations, businesses need a clearer framework not only for productivity, but also for ethics, compliance and responsibility.
Salesforce may be ahead in the race. However, if the path is not defined, there is a risk that the entire industry will operate blindly.
