Author who lost AI job warns companies: mass layoffs won't transform you—upskilling and role redesign will

A health-tech startup employee was laid off in 2022 after GPT-4 made their AI operations role redundant. Rather than retrain or redeploy them, the company eliminated the position outright. The author argues this reflects a pattern at Meta, Microsoft, and others: leaders are choosing cost-cutting over genuine transformation.

At Pearl (an AI company for independent professionals), the author took a different approach with a technical writer whose documentation work was threatened by AI. Instead of laying her off, they redesigned her role: she now manages AI agents that handle proofreading and editing, and owns the internal intranet—reducing maintenance time by 95% while expanding her scope. The key difference was having honest conversations early about how AI changes work, plus an 'AI Champions' program that gives leaders 10% of their time to experiment with AI workflows.

Companies that treat AI as a cost-reduction tool will shrink themselves into smaller, less adaptive versions of their former selves. Those that treat it as a catalyst for reinvention—by retraining people, redefining roles, and building new capabilities—will expand what the same teams can accomplish. The divide is already forming, and the author argues it will determine which organizations evolve versus merely survive.