The Corporate Alibi of AI
As firms blame AI for layoffs they planned anyway, AI becomes a political scapegoat—and the public's distrust turns out to be well-earned.
In the annals of corporate excuse-making, 'the dog ate my homework' has a new rival: 'the AI ate your job.' A new analysis from ChinaTalk observes that layoffs are already being blamed on artificial intelligence—even in cases where AI is not substantively the cause. Notice what is missing from that finding: names. The report declines to identify a single company or a single specific layoff. That absence is not a flaw; it is the point. The invocation of AI as a firing rationale has become so diffuse that it no longer needs an example, like a weather system that affects everything and can be blamed for anything.
Consider the mechanics. A firm decides to cut costs because its product flopped or its investors are nervous. The CFO, looking at a spreadsheet and a bonus schedule, could say 'our strategy was wrong.' Instead, they say 'we are reorganizing around agentic AI.' The result is a subtle transfer of agency: the AI, which had nothing to do with the bad bet on the TAM or the overspend on office space, becomes the proximate cause. This is not only dishonest; it is dangerous. The public has already been primed by a decade of 'automation will replace your job' hype. As I have pointed out before, 53 per cent of Americans expect AI to cost someone in their household a job, and 45 per cent of 18-to-34-year-olds expect it to damage their careers. Those numbers are not hallucinations; they are the product of an industry that keeps promising to put people out of work and then feigns surprise when it is believed.
The industry has spent years selling a story of total substitution. Sam Altman has mused about 'creative destruction' with the nonchalance of someone deciding whether to renew a gym membership. Dario Amodei, meanwhile, tells TechCrunch that the real issue is 'a crisis of trust' — as if the crisis descended from outer space rather than being assembled in boardrooms. When the same companies remain silent as managers use their products as a scapegoat for routine redundancies, they are not innocent bystanders; they are accessories. Every 'we are integrating AI to augment human work' press release is a gift to the next HR director who wants to fire four people and blame the transformer. The augmentation narrative may be sincere in places, but in the aggregate it is noise in the alibi machine.
ChinaTalk also predicts a junior hiring freeze as companies experiment with AI agents. This is the least discussed but most consequential prediction. Junior roles are how skills propagate: juniors make the coffee, read the codebase, ask the stupid questions, and slowly become seniors. If the entry level evaporates, the whole pipeline dries up. That is not a small-scale inconvenience; it is a structural collapse in the expertise needed to maintain the very systems the companies are rolling out. The executives who replace juniors with agents are not just saving a salary; they are eating the seed corn. But because the freeze is attributed to 'AI readiness,' no one is named. It becomes a force of nature rather than a choice made by people who should know better.
Now come the politicians. When the public knows people are losing jobs and the stated cause is 'AI,' the demand for regulation becomes irresistible. We saw the early shape of this in the panic over OpenAI's rogue models, when Congress scrambled to legislate without understanding the technology. A layoff-driven panic will be worse. It will produce bills that are either unworkable or performative, and none of them will address the actual problem: that managers have been granted a free pass to make humans redundant while blaming a neutral statistical model. The political crisis is not when AI descends the stairwell with a pitchfork; it is when a baffled electorate tries to regulate a metaphor.
So let us set the record straight. AI can and will displace some work; that is not a conspiracy theory, it is a consequence of specific decisions to automate specific tasks. But the decision to lay off a specific worker is a human decision, usually made by someone in a suit, before a quarterly earnings call. When that decision is outsourced to a vague phrase like 'we are moving to AI-driven operations,' the accountability evaporates. The technology may be the enabler; the boss is the agent.
The next time you hear that AI took someone's job, ask for a name. Not the name of the model — the name of the manager who signed the redundancy. The industry will continue to hide behind 'transformation' and 'augmentation,' and the politicians will continue to sanctify the language of disruption. But the public already knows the arithmetic: fewer jobs, more scepticism. If the AI industry wants to survive its own trust apocalypse, it should start by publicly denouncing the use of AI as a scapegoat for layoffs. Until then, every 'AI-driven restructuring' is a small withdrawal from the credibility account that the sector is already overdrawn on.