Salesforce Co-Founder and CEO, Marc Benioff, says companies cutting jobs for financial and structural reasons are hiding behind a convenient scapegoat… AI.
The wave of tech layoffs over the past 18 months has come with a familiar explanation attached: AI made us do it.
But Benioff isn’t buying it.
Speaking with Matt Berman on The Future Live, Benioff pushed back on what he called a fundamental misreading of what is actually driving job cuts across the sector.
For those working in customer service and the contact center, where the threat of AI displacement has never felt more real, his comments will undoubtedly raise an eyebrow or two.
In the discussion, Benioff argued that “most people still really understand what is going on.
“It’s too easy to basically take AI and make it the scapegoat. And I think for some CEOs, it’s the lazy way out.”
His argument appears to be that the contributing factors to the recent tech layoffs are more varied than the narrative suggests, and that collapsing them all into an AI story distorts the picture.
“In some cases, these companies are cutting because their costs are just too high,” he said.
“In other cases, these companies are cutting because they’ve made financial commitments specifically to data centers that they have to pay for.
“And in other cases, these companies are cutting because they need to rebalance their workforce to reflect the changes in artificial intelligence.
These are different reasons. So, you cannot bucket all these companies together. If you do, you’re making a fundamental mistake.”
A Pattern the CX Industry Knows Well
From a CX perspective, the distinction between genuine AI-driven restructuring and cuts made to fund infrastructure is crucial, particularly when vendors are simultaneously telling customers that AI will transform their operations while quietly eliminating the human talent that delivers those services.
We covered exactly this tension last week in the context of Oracle’s recent layoffs, where the company is reportedly axing up to 30,000 jobs – the largest in the company’s history – while reporting GAAP net income of $3.7 billion, up 27% year over year.
The financial rationale was tied to a $156 billion AI infrastructure commitment, with the workforce reductions expected to free up $8-10 billion in cash flow.
If we consider this news through the lens of Benioff’s comments, the layoffs can be viewed as a capital allocation story, with AI providing the cover, rather than a straightforward ‘AI replacing jobs’ narrative.
The same pattern has played out elsewhere. Accenture laid off 11,000 staff last September as part of what it called an AI reskilling strategy.
Amazon also cut around 16,000 corporate roles in January, with Microsoft eliminating approximately 15,000 positions last July.
In each case, AI featured somewhere in the explanation; and in each case, it could be argued that the underlying drivers were more complicated.
Benioff acknowledged that Salesforce itself went through an “uncomfortable period” of workforce rebalancing over the past five years, but framed it as a structural realignment rather than a response to AI displacing workers, noting the company has since reached a record headcount of more than 83,000 employees.
Indeed, in reflecting on this period during a previous interview, Benioff described the 2023 Salesforce layoffs as a “complete dumpster fire.”
For the Salesforce man, this is all part of leadership responsibility. “You’re going to take bullets no matter what, because that’s your role as CEO,” he said.
“And then you have to get going forward and put everything back together.”
What AI Actually Looks Like in the Service Conversation
For customer service teams specifically, there’s a dimension to all of this that Benioff addressed directly.
He used Salesforce’s own help portal as a working example of how agents and humans are operating alongside each other, stating:
“If you go to help.salesforce.com right now, you know that you’re working with Agentforce to resolve your customer service issue.
“But for about half the calls, it hits a moment where that customer is like, ‘I need to speak to somebody,’ and the agent goes, ‘you’re right’, and boom, through our omnichannel supervisor, goes to a human.”
The handoff, in his view, is where the value gets created rather than lost:
“Humans are really good at that moment looking at a screen, going, ‘actually the problem needs to be this. We’re just very good at synthesis.”
That framing has practical implications for contact center leaders trying to work out what ‘AI transformation’ actually means for headcount.
The honest version – which Benioff is essentially making the case for – is that AI handles volume, while humans close the loop on complexity.
Agents handling straightforward tier-one queries face real pressure. Those capable of the kind of contextual judgment Benioff describes are, for now, still needed.
Cover Story or Genuine Rebalancing?
The broader point Benioff is pushing is one of specificity over narrative. CEOs who attribute headcount reductions to AI, he argues, owe their employees and their customers a more honest account of what is actually happening inside their businesses.
Whether that candor becomes more common across the industry remains to be seen.
For the CX workforce monitoring each announcement for signals about what comes next, the difference between a company genuinely restructuring around AI capability and one using AI as a cover story for cost-cutting is a distinction worth making.
