The 99% Solution: CEOs Plan to Blame AI for Everything

Here's a number that should make you check your payslip: 99%. That's the proportion of chief executives who, according to a new Mercer report, expect artificial intelligence to drive layoffs at their companies within two years. Not 'might,' not 'could' — anticipate. As in, planning for it. Budgeting for it. Probably already drafting the press release about 'evolving our workforce to meet the demands of the AI era.'

One imagines the boardroom slide: Step 1: Announce AI integration. Step 2: Fire junior staff. Step 3: Claim victory for the algorithm. Return to Step 1. The Mercer finding is a gift to any CEO who wants to cut costs without admitting that their business model is a house of cards. Why say 'we're cutting headcount to please shareholders' when you can say 'AI is transforming our industry'? The phrase is already so worn it should come with a statutory health warning.

Two weeks ago I wrote about Cloudflare blaming the 'agentic AI era' for 224 redundancies. Cognizant, Cisco, Block, LinkedIn — the list is a roll call of corporate euphemism. The Mercer survey is not a prediction. It is a confession. CEOs are telling us what they intend to do, and we are supposed to applaud their 'digital transformation.'

The detail that really singes the eyebrows is the focus on early-career employees. According to the report, the expected cuts will disproportionately hit the youngest workers — those least likely to have union protection, severance packages, or the clout to resist. How convenient. The people who just spent years learning their trade are told that an algorithm can do it faster, cheaper, and without needing a pension contribution. It's a handy way to thin the ranks of the less expensive, less powerful, and less able to sue.

But here's the thing: the productivity gains that would justify all this are still mostly hypothetical. For all the hype about agents automating DevOps, writing code, or flying planes (as CNN breathlessly reported this week), the actual economic impact remains modest. Meanwhile, the companies that sell AI are themselves bleeding money. Today's candidate for the biggest bonfire of cash is xAI, whose first-quarter operating loss of $2.47 billion on revenue of $818 million makes the term 'venture capital' sound like a polite fiction. The same firms that promise to replace your workforce can't even turn a profit on their own products.

So what's really going on? The layoff excuse is a self-fulfilling prophecy. CEOs say AI will cause job cuts, so they plan job cuts, and then they point to the cuts as evidence that AI is transformative. It's a closed loop of circular reasoning, and it works because the media, investors, and analysts all buy into the frame. Nobody asks whether these layoffs are actually necessary, because the AI narrative has become a kind of corporate magic trick: watch the workers disappear, don't look at the bottom line.

Mercer's survey is a landmark — not of technological inevitability, but of managerial cynicism. 99% of CEOs have looked into the future and seen fewer people on the payroll. And they've decided that's a feature, not a bug. The rest of us should stop taking their predictions at face value and start asking whose interests they serve. The answer is rarely the algorithm.