Tech workers who skip AI are 3x more likely to get fired. Gallup just proved it.

Gallup just dropped the data every CISO and workforce leader needs to see.

Tech workers who use AI less than monthly are three times more likely to be laid off than those who use it at least monthly.

Not because AI replaced them. Because management decided they were expendable.

The numbers are brutal. Tech workers make up 13% of all laid-off workers but only 6% of the employed workforce. Fully remote workers are 25% of laid-off workers but just 13% of the employed.

And here is the part that should make every executive pause: only 1% of laid-off workers cited AI as the primary cause of their termination.

AI is not replacing workers. It is selecting which workers survive.

Meanwhile, PwC published complementary data the same week. Companies that use AI to amplify workers see 52% headcount growth versus 36% for companies that automate. Wage growth is 24% versus 17%. Jobs requiring AI skills are growing eight times faster than those that don't.

The pattern is clear. AI is not eliminating jobs. It is eliminating the people who refuse to use it.

If your workforce AI adoption rate is below monthly usage for a significant portion of your staff, you are building a layoff list. Audit your AI adoption metrics today. The gap between users and non-users is now a survival metric, not a nice-to-have.

SOURCE: https://www.gallup.com/workplace/711287/workers-continue-report-downsizing.aspx
VERIFIED: Gallup (June 18, 2026), PwC via The Deep View (June 19, 2026)
SIGNAL: AI adoption is now a workforce survival signal - non-users are 3x more likely to be cut, and the gap is widening.