Meta and Microsoft are the most recent software program firms to announce big cuts to their international workforce. Each firms are additionally making large investments in synthetic intelligence (AI).
The hyperlink appears apparent. Meta’s chief folks officer, Janelle Gale, said the job cuts – about 10% of workers or nearly 8,000 staff – serve to “offset the opposite investments we’re making”. Meta boss Mark Zuckerberg has beforehand spoken a couple of “main AI acceleration” with spending in excess of US$115bn deliberate this yr.
Microsoft can also be betting big on AI. The corporate additionally simply announced early retirement packages for about 7% of its US workforce.
The 2 tech giants be part of Atlassian, Block, WiseTech Global and Oracle, who have all made similar announcements this yr, every evoking AI with out outright blaming it.
What is occurring right here? How we perceive these layoffs relies on what we predict AI is, and what implications it is going to have. Broadly talking, there are 3 ways of taking a look at it: that AI is superintelligence, that it’s largely hype, and that it’s a great tool.
The top of white-collar work?
Within the first view, AI is rising superintelligence. It’s a new sort of thoughts, that learns, causes, and can quickly outperform people at most cognitive duties (trace: it’s not!).
The job losses usually are not only a company restructuring. They’re an early tremor of one thing seismic.
In February 2026, AI entrepreneur Matt Shumer put this view vividly – evaluating the present second to the unusual, quiet weeks earlier than COVID-19 broke into international consciousness. Most individuals, he argued, haven’t but realised we face an “intelligence explosion”.
The essay drew important criticism. Commentators noted it contained little arduous knowledge and browse at instances like a pitch for Shumer’s firm’s personal AI merchandise.
But it surely captured a real anxiousness. One thing actual is occurring in software program engineering, not less than, the place duties are well-defined and success is straightforward to confirm.
However the leap to “all white-collar work will likely be automated” is an enormous one. The view that AI is a sort of common thoughts that learns and improves itself is far-fetched.
And {most professional} work is much messier than coding: ambiguous briefs, competing stakeholder pursuits, outputs which might be arduous to confirm, and shifting success standards. Coding could also be a canary within the coal mine, however coal mines and boardrooms are very totally different locations.
Are tech firms winding again hiring sprees?
The second view sees the dialog round AI as largely hype. AI is being invoked as cowl. Firms that employed aggressively in the course of the pandemic increase, and now face monetary strain, are blaming AI because the extra palatable rationalization.
OpenAI CEO Sam Altman called this dynamic “AI washing”: firms blaming AI for layoffs they might have made regardless.
For instance, Meta announced in March it could shut down its Metaverse platform Horizon World by June. Actuality Labs, the division creating the expertise, employed 15,000 people as of January 2026.
We don’t know intimately the make-up of the current job cuts, so Meta could be repackaging earlier failiures as AI-driven productiveness positive aspects.
One other cynical studying means that shedding staff within the title of AI is a option to drive up inventory costs. When Block invoked AI and minimize practically 4,000 roles, its inventory jumped the next day.
Announce AI-driven layoffs and you could discover buyers reward you for being future-focused. It’s a traditionally acquainted trick: expertise has repeatedly served as handy cowl for monetary restructuring.
Are layoffs a option to make workers use AI?
The third view is extra nuanced. It sees AI as a strong instrument, however one which firms might want to remodel themselves to benefit from.
This has implications for what jobs are wanted and in what portions. We predict this view has essentially the most advantage.
On this studying, the tech leaders consider AI will change how software program will get constructed. However they don’t know precisely how.
In order that they do what tech firms typically do when confronted with uncertainty: they create strain. They minimize headcount workers, count on these remaining to provide simply as a lot as earlier than, and pressure groups to search out methods to fulfill these expectations utilizing AI.
It’s not a wager that AI will do every thing, however that the strain will pressure people to work out easy methods to use AI to extend productiveness.
This additionally traces up with trade expertise. For instance, Google chief govt Sundar Pichai claims a 10% increase in engineering speed from AI adoption throughout the corporate. This might tally with cuts of round 7-10% of complete workforce for many of the talked about firms.
What this implies for information staff
These three views are sometimes offered as mutually unique. In apply, all three expectations exist concurrently. The trustworthy reply to “what is absolutely taking place right here” might be “a little bit of every thing”.
What’s true is that software program growth tends to be an early indicator of broader shifts in information work. Productiveness advantages from AI are actual for individuals who undertake it. But adoption is erratically distributed, and lags in much less technical industries.
On this context, the ability to understand AI and make good choices about how and the place to make use of it’s turning into a baseline skilled ability.
The employees most in danger usually are not essentially these whose duties might be replicated by AI. They’re those that look forward to strain to reach from outdoors quite than getting forward of it now.
We may have solutions to the query of whether or not AI is generally hype or a great tool within the subsequent few years.
If Meta, Microsoft, and their friends rehire workers with totally different expertise, redesign workflows, and emerge genuinely extra succesful, the case for helpful AI seems good. In the event that they merely pocket the payroll financial savings, the cynics had been proper.
If you wish to know the place tech firms are going, don’t have a look at what they minimize – watch what they rent.
This text is republished from The Conversation underneath a Inventive Commons license. Learn the original article.
