US layoffs fall to two-year low, yet AI is top cited reason for fifth month

Total layoffs fell, but the share blamed on AI rose. On 6 August 2026, the US consultancy Challenger, Gray & Christmas (Challenger) published its July report: US employers announced 33,429 job cuts that month, the lowest monthly total in two years. Of these, 10,970 were announced with AI as the reason, about 33% of the month's total. AI has now been the most-cited reason for layoffs for five months in a row.

Put side by side, the two figures are easily read as "AI is taking jobs on a large scale". But Challenger counts the reasons employers state in their announcements, not verified evidence of replacement. That distinction shapes how this report should be read.

Totals are falling while AI's share is rising

July's layoff announcements were 27% fewer than June's 45,849 and 46% fewer than July 2025's 62,075. From January to July this year the total was 477,033, down 41% from 806,383 in the same period last year.

Over the same period, AI has carried more and more weight. Year to date through July, AI was cited in 112,713 layoff announcements, about 24% of the total; since Challenger began tracking, the cumulative figure is 184,538. According to HRD Australia, reporting on 10 June 2026, AI accounted for only about 7% in January but about 40% by May, or 38,579 of 97,006 announcements.

Total layoffs are falling, but AI accounts for a bigger share of the announcements that remain.

Other reasons exist too. The main reasons in July also included:

• Market and economic conditions: 7,960 (90,075 year to date)
• Restructuring: 2,815
• Loss of contract: 2,003

The spread across industries is also concentrated. The technology sector announced 9,867 cuts in July and 149,023 so far this year, up 67% year on year and about 31% of all announcements; AI-attributed layoffs also fall mainly in technology. By contrast, Challenger's data shows only one AI-attributed layoff in health care: 39 positions at a California telehealth provider.

How a layoff gets counted as an "AI layoff"

Challenger acknowledges in its report that the AI classification is somewhat ambiguous, and gives two examples. Visa cut 7% of its workforce; because the company linked the cuts to an AI efficiency push, they were counted as AI-related. At a hospital in the Bronx, New York, the layoffs were recorded as "Technological Update (possibly AI)" because the hospital did not say which software it used; the hospital also disagrees with the union's claim that the cuts were linked to AI. Both cases appear only in Challenger's own description in its report, and this article has not verified them separately.

This shows that whether a layoff counts as an "AI layoff" depends largely on how the company words it, not on anyone checking case by case whether software actually took over a role.

The wording also carries motives. Challenger notes that naming AI in a layoff announcement can win over investors while pushing current and prospective employees away; and if regulation takes shape, AI's effect on jobs may become harder to track.

According to HRD Australia, OpenAI chief executive Sam Altman has mentioned the phenomenon of "AI washing", in which companies blame AI for layoffs they would have made anyway, though he also acknowledged that some jobs have genuinely been replaced. The research firm Forrester said many companies in fact lack mature AI applications to fill the roles concerned.

What the available data can show is how employers explain layoffs to the public; it cannot show how many jobs AI has actually replaced.

Hiring plans have picked up

The same report shows US employers planned to hire 16,095 people in July, up 47% from 10,933 in June; planned hiring so far this year is 107,500, up 25% year on year.

According to Fox Business, Andy Challenger of Challenger said AI is shifting the labour market rather than dismantling it.

Key points for employees and recruiters (analysis)

• Separate "claim" from "evidence": an announcement that names AI only shows how the company explains the cuts; look for whether it says which tasks were taken over by which system.
• Look at the industry before drawing conclusions: AI-attributed layoffs are concentrated in technology, while health care has only one in Challenger's data, so technology figures should not be applied to every sector.
• Read the share and the total together: AI accounted for 33% in July, but the month's total was the lowest in two years.
• Recruiters should mind perceptions: Challenger notes that naming AI in an announcement can push current and prospective employees away, so wording in job postings and announcements deserves care.
• Figures will be updated: this article uses the figures in Challenger's July report and will be updated when later monthly reports are published.

When a layoff announcement says "AI", what it tells you first is what story the company wants to tell, and to whom.

Prices and details correct as of November 2026

Compiled by the F50 Editorial Team from public sources, for general reference only and not professional advice. Details are correct as of the publication date and may change.