You have to put a fine point on what Vembu is saying: he’s put a damper on the idea that artificial intelligence is single-handedly putting people out of work. In his view, firms are latching onto an easy narrative while some hard-nosed cost and macroeconomic issues make themselves felt. It’s a warning for the rest of us as we see job numbers fall and companies make a show of their AI reorientation.
The Innovaccer signal
The comment has some weight given what you’ve seen from Innovaccer. They put out word of more cuts even as they reorganize around an AI-first model. Inc42 has it that 340 or so in India and the U.S. are in the crosshairs. That’s how these days you can have your workforce decisions dressed up in AI.
Vembu doesn’t mince words. He’ll tell you there’s a double benefit for any company that says its hands were tied by AI: you can make the case for letting people go and come off as being on top of things. “It’s convenient and good for your image to put the onus on the machine,” he put it in a post musing on the wariness some in America have toward AI.
Here are the key signals Vembu wants decision-makers to heed:
– AI is becoming corporate cover for restructuring
– Cost inflation is the central pressure, not code
– The AI investment bubble has limits
– Prepare for a tougher macro period
Cost pressures overshadow automation gains
Then there’s the matter of his own business. Vembu will be the first to admit the cost side of the ledger is under pressure and the overall picture is not pretty. Sure, the kind of money thrown at AI has been propping up the US economy, but you can’t count on that forever.
He puts the present unease in a much longer view, one of the old post-WWII order slowly being put to rest. Don’t be fooled by the iPhone, he says; it didn’t stop the 2008-9 crisis.
His take is simple: no amount of AI is going to fix the world’s imbalances with a wave of a wand. Get ready for a harder road. And if I’m being too downbeat, he’s open to hearing otherwise.
Take Innovaccer’s latest round of downsizing, for instance. It’s part of a move to be more AI-native, but it’s also a reduction in headcount. You see this in the corporate playbook: use the tech story to make sense of the restructuring.
How Big Tech frames the pivot
Amazon is a case in point. Last year they made 14,000 corporate jobs go away to be leaner and put where the action is-AI. Salesforce has done something similar with 4,000 support roles, with AI agents filling in. IBM, CrowdStrike, Workday, the list goes on.
But analysts will tell you a lot of this is just a hangover from over-hiring in the pandemic and the usual cost-cutting. The numbers back it up: consulting firm Challenger, Gray & Christmas found AI was the reason given for close to 55,000 U.S. jobs in 2025.
Why it matters for market strategy
So you have a tussle between the AI tale and what’s on the balance sheet. For 2026, you can please the market by shoving budgets into automation, but you have to see it in your margins, not just in a memo about some new bot.
For a worker, it’s attrition in disguise. An investor has to wade through the hype to find the real productivity. Vembu is blunt about it: if we’re heading for a 2008-type scenario, a few tech trends won’t be enough to make up for it.
It all comes down to proof. If AI is making a dent, we should be able to see it in the costs. If not, you can bet some will be pointing to automation while they do the unglamorous work of trimming expenses, with more of the same to come as the macro gets worse.
