US employers slashed 97,006 jobs in May — the highest May total since the start of the pandemic — and for the third month running, companies say AI is the primary reason. The numbers are getting worse, not better, and young workers under 30 are absorbing the worst of the damage.

🔍 THE BOTTOM LINE

AI is no longer a future concern for the labour market — it is the primary driver of job cuts in 2026, and the data is becoming impossible to dismiss. 40% of May’s 97,000 announced layoffs were explicitly attributed to AI, according to outplacement firm Challenger, Gray & Christmas. That is up from 7% in January and 26% in April — a curve that is steepening, not flattening. Meanwhile, Goldman Sachs’ latest AI Adoption Tracker estimates AI is wiping out roughly 11,000 net US jobs per month, with entry-level and young white-collar workers bearing the brunt. The headline figure is improving — down from 16,000 per month two months ago — but for reasons that offer little comfort.

What the Numbers Actually Say

Challenger’s May report puts total AI-attributed cuts for the first five months of 2026 at 87,714 — already dwarfing the 54,836 recorded throughout all of 2025. The tech sector alone reported 38,242 cuts in May, the sector’s highest single month in two years.

But the surface-level improvement in Goldman’s tracker — net displacement dropping from 16,000 to 11,000 per month — masks a deeper problem. The apparent improvement comes almost entirely from data centre construction, which has added 212,000 jobs since 2022 and is now generating roughly 9,000 new positions per month. Those are largely temporary roles: the American Edge Project estimates the buildout will generate about 4.7 million temporary construction jobs but only around 697,000 permanent operations positions. Strip out construction, and the displacement picture looks worse than ever.

As we covered in our earlier analysis of tech CEO layoff narratives, companies have been increasingly framing job cuts around AI efficiency — but the May data suggests this is now a structural shift, not just convenient storytelling.

The Gen Z Problem

The generational tilt is the most concerning signal in the data. Goldman’s tracker is beginning to show a slight but consistent positive correlation between AI adoption rates and unemployment among workers under 30 across multiple industries. A working paper from the Stanford Digital Economy Lab found that workers aged 22-25 in the most AI-exposed occupations experienced a 16% relative decline in employment after the spread of generative AI.

Anthropic’s March 2026 labour market report provides suggestive evidence for the same conclusion. The pattern is consistent: AI is substituting for the junior tasks that traditionally serve as the first rung of the career ladder — drafting, coding, triage, summarisation, basic data work — while leaving senior roles relatively untouched. Employment is not declining in entry-level jobs with low AI exposure. It is declining specifically in the early-career roles that sit closest to the technology.

This builds on our reporting on how entry-level careers are being AI-destroyed and the 13% employment drop for workers aged 22-25 in AI-exposed fields.

A Market That Looks Healthy on the Surface

The broader labour market remains resilient by traditional measures. The Bureau of Labor Statistics reported payrolls rose by 172,000 in May, more than double the consensus estimate of 80,000, with upward revisions for previous months. UBS projects the unemployment rate holding near 4.33%.

But beneath the macro numbers, hiring remains “historically low by pre-pandemic standards,” according to Challenger. Employers announced just 80,742 planned hires in May. Columbia Business School professor Daniel Keum told CNBC that AI’s impact is still “very concentrated” within certain sectors. But the concentration is now enough to be driving broader anxiety: 24% of Russell 3000 companies mentioned AI and labour together on Q1 2026 earnings calls — a figure that has risen sharply and shows no sign of plateauing.

Some economists caution that companies may be “scapegoating” AI to justify layoffs, as Fabian Stephany of the Oxford Internet Institute argued to CNBC. But even if true, the result is the same for workers: fewer jobs, and less willingness from employers to train the next cohort.

What Comes Next

Goldman Sachs notes that academic studies of firms that have actually deployed AI show an average 23% productivity uplift — gains that flow disproportionately to workers senior enough to leverage them. Chemical manufacturing and electrical equipment firms report the largest expected increases in adoption ahead, meaning the next wave of displacement may move beyond knowledge work into industrial settings.

As MIT Technology Review put it in a recent piece, the appropriate advice is no longer “learn to code” — because the layer of work AI handles well is precisely the layer that coding bootcamps were built around. The competition young workers face is not human versus machine, but colleague versus AI-augmented colleague.

❓ FAQ

Is AI really the main cause of layoffs, or are companies exaggerating? Some companies may be using AI as a convenient justification, but the data is now consistent across multiple sources — Challenger, Goldman Sachs, Stanford, and the Bureau of Labour Statistics — and the trend is accelerating, not stabilising.

Why is Gen Z being hit hardest? AI excels at the routine, junior-level tasks that entry-level workers typically perform — coding, drafting, triage, data entry, customer support. Senior workers are harder to replace because their value lies in judgment, context, and relationships.

Aren’t data centre jobs offsetting the losses? Temporarily. Data centre construction has added ~9,000 jobs per month, but most are temporary construction roles. Once facilities are operational, they employ relatively small permanent teams.

What should workers do? The most practical advice from economists is to become AI-fluent while developing domain judgment and human-relationship skills — the things AI cannot yet replace. Diversifying into growing industries and being prepared for ongoing disruption are also key.

🔍 THE BOTTOM LINE

AI-driven job displacement is no longer theoretical or prospective. It is happening now, at scale, and it is disproportionately affecting the youngest workers at the very start of their careers. The data centre construction boom is masking the severity of the trend, but those jobs are largely temporary — and when the buildout ends, the question of what replaces entry-level white-collar work will remain unanswered. The US economy is creating enough aggregate jobs to keep unemployment low, but it is not creating the kinds of jobs that used to launch careers.

📰 Sources

• Challenger, Gray & Christmas — May 2026 Report
• CNBC — AI is now the leading reason for job cuts
• Fortune — Goldman Sachs: Gen Z losing the AI economy
• Stanford Digital Economy Lab — Canaries in the Coal Mine
• MIT Technology Review — Entry-level work crisis
• Anthropic — Labour Market Impacts of AI (March 2026)
• Bureau of Labour Statistics — May Employment Report