The Great AI Reversal: Why Companies Are Rehiring
Some of the companies that replaced people with AI are now hiring those people back.
It's a signal worth reading carefully, because it points at where the real return lives: redesigning work and organizational structures.
The evidence is mounting. Klarna, which said AI was doing the work of 700 people, has started hiring people back.
More than half of the leaders who cut staff for AI now say those calls were wrong, and Gartner expects half of the companies that slashed service teams for AI to be re-staffing them by 2027.
The expensive way to learn a cheap lesson
Cutting people first treats AI as a replacement for labor.
In knowledge work, AI can act as an amplifier: it makes good people faster and frees them for higher-value work.
Remove the people and you lose the judgment, the context, and the customer trust that made the work valuable in the first place.
That is why the rehiring rarely restores the old job. The role that comes back needs people who can work alongside AI - prompt it, check it, and handle the cases it can't.
Train for the augmented role
That's the workforce training opportunity hiding inside the reversal.
Instead of cutting and then rehiring into a role you have to rebuild from scratch, the smarter move is to train your existing people for the augmented version of their job now: the data literacy, the judgment, and the human-escalation skills that AI makes more valuable.
Building the people-first version of AI adoption is the work we do at Average Robot.
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