The data becomes more pointed when broken down by industry. In the technology sector, workers who used AI less than monthly were three times as likely to have been laid off as tech workers who used it at least monthly. That’s a sector already showing elevated layoff exposure. Gallup found that tech workers make up 13% of currently laid-off adults, roughly double their 6% share of the employed workforce.
The 1% figure that doesn’t tell the whole story
Only 1% of currently laid-off workers named AI or automation as the primary reason they were let go. The most commonly cited causes were organizational restructuring (15%), budget and cost-cutting (11%), and broader economic conditions (11%). Workers aren’t always told why they’ve been cut, and restructuring decisions shaped in part by AI investment rarely surface in exit conversations. The 1% figure may understate AI’s indirect role considerably.
That ambiguity is itself a management problem. As HRD has reported, employers are already navigating the reputational and legal exposure of layoffs framed around AI, even when AI adoption is partial or aspirational rather than the true operational driver. The gap between stated reason and actual cause creates confusion for employees — and risk for organizations that haven’t developed a coherent narrative around workforce change.
Why federal workers stand apart
The broader layoff picture shows some stabilization. Gallup’s Q1 2026 data found that 21% of U.S. workers reported their employer was reducing its workforce — a figure that had nearly tripled from mid-2022 to late 2025 but has now leveled off. More workers (34%) said their employer was expanding its workforce than contracting it.
Federal government employees were the outlier, with 38% reporting reductions at their organizations — nearly double the rate of for-profit workers (17%). The stabilization at the aggregate level, though, shouldn’t obscure what’s happening at the sub-group level. For HR leaders managing workforces in or adjacent to the technology sector, the AI use gap isn’t a future risk. It’s a current one, with measurable consequences already showing up in who ends up unemployed.