Artificial intelligence has become the single leading cause of job cuts in the United States in 2026, with AI-driven layoffs in the first five months of the year already surpassing the combined total from the previous two years, according to a report by outplacement firm Challenger, Gray & Christmas. The findings mark a sharp acceleration in automation-driven workforce restructuring across American industries.

Layoff Surge by the Numbers

US employers announced more than 97,000 job cuts in May 2026, the highest May layoff figure since the onset of the Covid-19 pandemic in 2020. The monthly trajectory has been consistently upward: cuts rose from 48,307 in February to 60,620 in March, 83,387 in April, and then crossed the 97,000 mark in May — three consecutive months of escalation.

AI's Growing Share of Job Cuts

Artificial intelligence accounted for nearly 40 per cent of all announced layoffs in May 2026, according to the report. This share has climbed steeply throughout the year — from 7 per cent in January to 10 per cent in February, 25 per cent in March, and 26 per cent in April, before surging further last month.

In May alone, companies attributed 38,579 job cuts to automation and AI adoption — the highest single-month figure since Challenger, Gray & Christmas began tracking AI-related layoffs in 2023. The cumulative total of AI-linked job cuts in 2026 now stands at 87,714, already exceeding the combined 54,836 recorded in 2025 and 12,742 in 2024.

Andy Challenger, chief revenue officer of Challenger, Gray & Christmas, said: 'AI is now the leading reason companies give for cutting jobs,' underscoring the accelerating role of automation in reshaping the American workforce.

Technology Sector Bears the Brunt

The technology sector has emerged as the hardest-hit industry. US-based technology companies announced 38,242 job cuts in May, the highest monthly total for the sector since August 2024. On a year-to-date basis, technology sector layoffs have jumped 66 per cent to 1.23 lakh, recording nearly three times as many cuts as the next most affected industry.

What This Signals

This comes amid a broader global debate over AI's net impact on employment — whether it creates enough new roles to offset those it displaces. The 2026 data, at least through May, suggests displacement is outpacing transition for a significant portion of the US workforce. Notably, the pace at which AI's share of layoffs has grown — from under one-tenth of cuts in January to nearly two-fifths by May — points to an inflection point rather than a gradual shift.

With AI adoption continuing to accelerate across sectors, analysts expect the trend to persist through the second half of 2026, placing further pressure on policymakers and companies to develop retraining and reskilling frameworks.