Meta’s viral social media post on Twitter (the author’s Facebook post following it, too, had caused a stir in the world today) has reignited the furious debate over the impact artificial intelligence is having on technology companies overall.
The comments emerge at a moment when Meta is aggressively scaling up its AI work, overhauling teams and seemingly relocating thousands of employees to projects related to AI.
The debate emerged after an X user named Julian posted a personal account that described how a number of Meta employees were pressured to develop proprietary AI technology products several months prior to large-scale layoffs and restructuring, with layoffs in several Meta employees’ teams.
The viral post alleged Meta had held an internal “AI week,” in which employees were asked to spend a brief amount of time away from their jobs for a few days, practising different AI tools, processes and development of prototypes. Opponents accused staff of “promising” early AI products that could eventually become a company-wide program with engineering support.
After Julian’s post went viral, it made headlines when his wife said she spent months working in a group of senior leadership and engineers to help develop one of the AI products, only to lose her job soon afterwards. “Fast forward to today: She’s canned,” the viral post said.
My wife just got laid off by Meta.
— Julian ☽ (@julianblacks_) May 20, 2026
We knew the writing was on the wall. But I want to give a little background.
Meta a couple months back had a company-wide AI week. During this week Meta halted all day-to-day work and required all employees to familiarize themselves with AI.…
Although claims have not yet been independently verified, the story went viral on social media and many users said it was a distressing reminder that employees were part of something that they were part of a story in which employees are helping to create technologies that may one day diminish the job itself. The incident has provided fuel to broader anxieties already sending ripples throughout the tech industry as companies rushed to pump resources into AI.
Businesses in Silicon Valley and beyond are pumping greater amounts of money and attention into automating operations, delivering generative AI solutions, and investing in deep machine-learning infrastructure to outpace the machine in the ever-changing technology game. Meta’s ambitions for AI have come a long way in recent months.
As competition continues to build up between company and rival Google and OpenAI, CEO Mark Zuckerberg has made it plain to many that his priority is to do so: Artificial Intelligence in the long term is the company’s priority for the future.
Meta reports it will spend more than $100 billion this year or more on AI infrastructure, chips, computing power, and enabling the next wave of technologies. The company has also reportedly shuffled several global teams, growing its functions to be more centralised, creating smaller, faster-developing units in the United States, Europe, Singapore and elsewhere.
According to Meta, its Chief People Officer Janelle Gale told reporters in reports that it is looking for flatter organisational structures and leaner people teams in the world that can move faster and have more ownership, the memo said. Bloomberg recently told the story that Meta’s job cuts could save the firm roughly $3 billion.
But analysts say that those savings don’t come close to the billion that Meta has agreed to invest in AI innovation and infrastructure expansion. But the viral post is a symbol of something far more troubling that hovers over many white-collar jobs: That professionals could unwittingly help craft systems that, over time, undermine the demand for their expertise.
Engineers, designers, analysts, writers, and managers in industries as diverse as the tech sector and beyond are increasingly confronting challenges about how AI will reshape jobs in the next couple of years. While much of the industry’s narrative has painted AI as a productivity-boosting technology used to uplift workers to thriving, there is evidence that AI will, in fact, one day eliminate some categories of work, critics say.
Meta has also generated tensions within the company to date over the company’s outlook on AI. Reports have said that, because companies increasingly face the growing concern about privacy and the company’s broader AI strategy, more than 1,000 employees have signed a petition in opposition to the detailed data the company collects from devices to aid in AI training.
CEO Zuckerberg has signalled he hasn’t seen another wave of wide-scale companywide layoffs of the sort that previous restructuring efforts did. But he has also cautioned that certain divisions could further trim people as Meta adjusts its organisational strategy. That viral story is one that is cutting deep and hitting a chord along the way to the edge of a story.
But the viral is already reaching into the escalating uncertainty among workers across industries. So much faster and so much more sophisticated AI tools have developed and made this even more difficult, and that can leave many workers in the dust, where they are starting to wonder just how automated work ends and job loss begins.
Whether the viral post’s claims ring true in every way but the most virally likely, the response to it addresses an unspoken fear humanity has of concern in the real world tech industry that rings true in a truly global tech industry at large that creators of a future, tomorrow and AI’s future which should make you all the more concerned, who contribute to creating the future of artificial intelligence could very well be some of the most vulnerable to the consequences of this disruptive technology.
