Gary Tay joined Facebook in London nearly a decade ago. He moved to Singapore, climbed the ranks, and became an AdTech Business Support Engineer at Meta — one of the longest-tenured engineers in the APAC office.

3,544 days. That's how long he'd been there when the email arrived. "Longer than 99.5% of current employees globally, 99.9% longer than anyone in the APAC office," he wrote.

He'd survived the "Year of Efficiency" cuts in 2022. He'd weathered multiple reorgs. Through it all, he kept adapting.

In the year before his layoff, he'd thrown himself into AI retraining. He learned new tools, built systems that sped up his team's workflows by 200-300%, and still kept SLAs with the world's largest clients. He was doing everything right — upskilling, adapting, delivering results.

On a Tuesday, he spent the entire day training his replacement — a new "pod engineer" who would be taking over his responsibilities. "Yesterday I was training up my new pod engineer, glad I managed to squeeze in everything," he wrote.

The next morning, Wednesday, May 20, 2026, he was laid off.

The timing was brutal. Meta cut 8,000 employees globally — about 10% of its workforce — and reassigned 7,000 more to AI teams. It was part of CEO Mark Zuckerberg's push to restructure the company around AI, baking "AI native design principles" into every organizational layer.

Employees received 4 a.m. emails. Building badges died immediately. Internal system access vanished within an hour. If you were already at your desk, you were told to pack up your personal items and go home.

Tay's LinkedIn post struck a nerve because it captured the exact fear haunting knowledge workers everywhere: What if adapting isn't enough? What if building the very systems that make you more efficient is what makes you disposable?

His final line became a rallying cry for displaced workers across the tech industry:

"AI is here to stay, apparently the human isn't."

The irony was not lost on anyone. He had done everything companies tell workers to do — learn new skills, embrace technology, increase productivity — and it didn't save him. The 200-300% efficiency gains he built became the data point that justified his own redundancy.

Adding to the heartbreak: his first child was due in July. "I'll be reassessing my career options in the next few months while I patiently wait for my newborn to come in July," he wrote.

Tay's story spread because it destroyed a myth — the myth that upskilling is a survival strategy. For an increasing number of workers, upskilling into the very tools that replace you is not resilience. It's accelerated self-displacement.

As one commentator put it: "He was a bridge burned after crossing. That is not irony. That is the designed operating procedure of cognitive automation adoption."