America’s private sector added jobs again — and the fine print of two reports published inside 24 hours reframes what an AI layoff actually does to a career, and who recovers from one fastest.
🔍 THE BOTTOM LINE
Two employment stories landed within a day of each other. ADP’s National Employment Report counted 42,000 new private-sector jobs in October — the first increase since July — with annual pay growth holding at 4.5% for job-stayers and 6.7% for job-changers. On the same day, Fortune reported Goldman Sachs research finding workers displaced from AI-exposed jobs take about a month longer to find new work than other displaced workers, and are roughly 10 percentage points more likely to still be unemployed a year on — with one large exception: workers under 35 adapt fastest.
The hiring picture turned, slightly
October’s 42,000 gain followed two weak months — September was revised to a decline of 29,000. The composition matters more than the headline: ADP’s breakdown shows firms with 500+ employees added 74,000 jobs while businesses with 1-19 employees cut 15,000, and small-business employment has now fallen year-over-year for three consecutive months. Hiring, on this data, is concentrated in large organisations; the small-business engine that historically drives US job growth is sputtering.
Pay tells a quieter story. ADP’s Pay Insights puts annual pay growth for job-stayers at 4.5% and for job-changers at 6.7%, with the report itself noting pay growth has been “largely flat for more than a year, indicating that shifts in supply and demand are balanced.” There is no wage collapse in the AI-exposed economy — and no bidding war either.
What Goldman found in four decades of displacement data
The Goldman Sachs note, published Thursday, analysed more than 15,000 displaced workers from the Labor Department’s Displaced Worker Survey going back to 1979, using newly released data covering job losses from 2023 to 2025 — the group Goldman describes as likely capturing the first wave of AI-displaced workers.
Since no survey question asks whether AI cost someone their job, Goldman built a score combining the occupation’s AI exposure, the industry’s AI adoption rate and whether the position was eliminated, and treated the top 30% as likely AI-displaced. Its findings about that group:
- They take about a month longer to find a new job than other displaced workers.
- They are roughly 10 percentage points more likely to still be unemployed a year after losing their job.
- Economist Pierfrancesco Mei called those effects “comparable in magnitude” to earlier waves of technological change, which produced damage Goldman describes as “long-lasting.”
For context on the wider layoff environment, Challenger, Gray & Christmas’ September report has employers citing AI in 120,136 announced US job cuts through September — about 21% of all cuts and the top single reason given.
The exception: under-35s recover fastest
The optimistic finding that got less attention: AI-displaced workers under 35 took about three weeks longer to return to full-time work, against roughly five weeks for those 35 and older. Younger workers also cycled through fewer temporary jobs along the way and were less likely to need a second job alongside their new full-time one. Mei suggested younger workers “may be able to adapt more flexibly to AI disruption” — which he called “an encouraging sign given concerns that AI-driven job losses could disproportionately affect recent graduates.”
Goldman also found college students are increasingly choosing majors that lead to jobs with lower AI exposure and stronger growth — behaviour that, if it continues, shifts the next graduate cohort toward resilient occupations before the displacement wave hits them.
The age gap echoes at the economy-wide level. The latest BLS displaced-worker survey counted 7.4 million workers displaced from 2023 through 2025, up from 6.3 million in the prior survey. Among long-tenured workers who found full-time work again, only about 49% were earning as much as or more than before — down from about 62% in the previous survey.
What it means for New Zealand
New Zealand’s labour market is far smaller and differently shaped, but two transfers apply. First, the demand direction ADP is measuring — large firms adding, small firms shedding — is one NZ employers of every size will recognise as technology-driven consolidation pressure. Second, and more usefully for younger readers: the strongest recovery signal in the data belongs to workers under 35. A slow front door, in both datasets, has so far meant a shallower scar for the young: fewer temporary jobs, fewer moonlighting arrangements, faster full-time re-entry — consistent with our earlier read of Stanford/ADP data that AI exposure slows young-worker hiring rather than mid-career employment. It also echoes what our October NZ jobs-data read found about adjustment showing up in hiring flows before it reaches headline unemployment.
❓ FAQ
How many jobs did the US add in October 2026?
ADP’s National Employment Report counted 42,000 new private-sector jobs in October, the first monthly increase since July, after September was revised to a 29,000 decline.
What did Goldman Sachs find about AI-displaced workers?
Fortune reported the bank’s analysis of 15,000+ displaced workers since 1979: those displaced from AI-exposed jobs since 2025 took about a month longer to rehire and were about 10 percentage points more likely to still be unemployed a year later — effects comparable to earlier technology waves.
Which age group recovers fastest from an AI job loss?
Workers under 35. They returned to full-time work about three weeks slower than average displaced workers, versus about five weeks for those 35 and older, with fewer interim temporary jobs.
Are wages falling because of AI?
ADP’s Pay Insights shows annual pay growth of 4.5% for job-stayers and 6.7% for job-changers in October, with pay growth unchanged for more than a year — no wage collapse is visible in the data.
🔍 THE BOTTOM LINE
A labour market can rebound and scar at the same time: 42,000 net new jobs and 4.5% pay growth on one hand, a month of extra searching and a lasting re-employment penalty for a subset of displaced workers on the other. The most transferable finding of the week is the age split — under-35s adapt fastest. And the recovery, where it exists, is concentrated and selective: large organisations are hiring while the smallest firms shed, which Robert Half’s hiring research anticipated when 35% of surveyed managers reported shifting emphasis from entry-level toward experienced talent.
📰 Sources
- ADP — National Employment Report, October 2026
- Fortune — Goldman Sachs on AI-layoff displacement scarring
- Challenger, Gray & Christmas — September 2026 job cuts report
- Robert Half — AI impact on hiring demand research
— CJ Murden, editor of Singularity.Kiwi. Former digital technologies teacher, author of AI-focused books. Writing with a New Zealand focus.
