AI Layoffs vs AI Hiring: What October 2026 Really Shows

Open any news feed this month and you'd think AI is quietly emptying offices. Barclays, American Express, the Dutch government, HubSpot. Then open a job board and you'll see something that looks like the opposite: AI and machine learning postings booming, software roles recovering, and salaries north of $200,000 for people who can build and deploy AI.

So which is it? Are AI jobs disappearing or exploding?

The honest answer is both, and the detail matters a lot for your career. I spent this week going through the October 2026 numbers, and here's what they really say.

The layoffs: real, but read the fine print

The AI Layoffs register had recorded 72 job cuts at 68 employers announced in October 2026 as of its 28 October check. 23 of them were linked to AI: in 16 cases the employer itself named AI as a reason, and in 7 only the press, a union or an analyst made the link.

The largest AI-linked cuts on the register this month:

• Dutch central government (Rijksoverheid): about 25,000 roles reported, a net change in headcount, with AI cited among other reasons.
• Barclays: about 5,000 roles, AI cited among other reasons.
• American Express: about 3,500 roles, AI cited among other reasons.
• Kroger: 3,000 reported; Kroger named no AI reason, but others linked it to AI.
• National Australia Bank: 2,500 reported; the register notes NAB denied the AI link others made.

But here's the part the headlines skip. The two biggest cuts on the register that were not linked to AI were Volkswagen (12,000) and Volvo Cars (about 2,500). Netflix (about 1,000), eBay (about 1,000) and Royal Mail (up to 2,500) were also recorded as not linked to AI. Most of October's cuts, 47 of 72, were checked and found to have no AI link at all.

And the stated reasons get messy. HubSpot announced it would cut nearly 660 jobs on 6 October. According to Level's analysis, its CEO said the cuts were not driven by AI-related efficiencies, and that the company was reorganising around an AI strategy. Is that an AI layoff? Depends who you ask.

The bigger 2026 picture

Zooming out, Level cites the Challenger, Gray & Christmas September report, which attributes 120,136 announced US job cuts this year to AI, about 21% of all cuts and the leading reason year to date. Technology is the biggest source of cuts at 29% of the total.

That's a serious number and I'm not going to wave it away. But AIimpacted's analysis of Indeed postings adds important context: postings for the occupations employers blamed AI for (software, HR, customer service and so on) collapsed between 2022 and 2025, mostly before the AI announcements. And since those announcements, most of those occupations have kept pace with or beaten the overall market. In the year to 25 September 2026, software development postings rose 14 points and HR 12, against 2 for all US postings.

The one clear exception is customer service, still edging down. If your job is mostly answering routine queries, that's the signal to take seriously.

The hiring: concentrated, senior and very well paid

Now flip to the other side of the ledger.

According to BlueLine Research's write-up of the Dice September 2026 Tech Jobs Report, technology job postings rose 9% month on month in September and sat 17% above September 2025. AI and machine learning postings grew 88% year on year, roughly five times the overall tech rate. Tech companies, finance and banking, healthcare and aerospace/defence led the growth.

CNBC's report on Indeed Hiring Lab data shows US software development postings have risen almost 15% since late February 2025, while overall job postings fell 7%. Even GitHub's own numbers, quoted in the same piece, show one in three pull requests now involve an AI agent, up from fewer than one in ten a year ago. More AI-written code, and more demand for developers. That's the exponential age in a nutshell.

Level's own job database, read on 21 October 2026, tracks 20,000+ live roles rated "Works on AI" or "Builds AI", about 12% of its 169,000+ live offers. 7,200+ were posted in the last 30 days. Over that month, Amazon led with 1,000+ listings at those levels, followed by NVIDIA (289), Salesforce (244) and Capital One (228). OpenAI had 129 and Anthropic 112.

The pay is strong. Level found a median advertised salary of $207,800 for "Works on AI" roles and $227,400 for "Builds AI" roles, taken at the midpoint of posted ranges. And 32% of those roles allow remote work, double the 16% across all its live offers.

Why both things are true at once

BlueLine puts it better than most: posting indexes count listings, while employment statistics count net heads. In the same month Dice showed tech postings up 17%, the US Bureau of Labor Statistics reported the information sector shed 10,000 jobs. As BlueLine explains, "When a company closes two general software engineering positions and opens one AI/ML architect role, it posts more technology job listings than before and still produces a net employment decline."

They call it "a sector in mid-replacement". I think that's exactly right. The work is shifting from one kind of job to another, faster than people can retrain.

And the new jobs skew senior. Indeed Hiring Lab found senior roles made up 71% of the increase in software development postings between May 2025 and May 2026, and AI-titled jobs 37%. Level counted 10,000+ senior AI roles against just 310 junior roles and 799 internships. Meanwhile, Stanford's 2026 AI Index, as reported by CNBC, found employment for early-career software developers aged 22 to 25 has fallen about 20%.

That's the uncomfortable part. If you're experienced, the market is opening up. If you're just starting out, the front door is narrower than it used to be, and you'll need to build your own way in.

What I'd do right now

I'm optimistic, and I'm also practical. Here's how I'd play this market depending on where you sit.

If you've just been laid off from a tech role

• Don't sell yourself as "a general software engineer". BlueLine's point is that the growth is concentrated in specific profiles: ML engineers, MLOps and inference, AI safety and governance, applied researchers. Pick the closest one to your experience and reposition your CV and headline around it.
• Look beyond tech companies. Finance, healthcare and defence are hiring AI talent hard and, per BlueLine, often lack established pipelines. A fraud model at a bank or a clinical AI tool at a hospital is serious, well-paid work.
• Ship something in the next 30 days. A working agent, an evaluation harness, an automated workflow with a measured result. Hiring managers trust evidence over job titles.

If you're early in your career

• Build the senior-sounding portfolio now. The postings are senior because companies want people who can judge AI output, connect tools to real systems and own outcomes. You can demonstrate all three on a personal project.
• Don't skip the human skills. Indeed economist Sneha Puri told CNBC that "communication, interpersonal skills and leadership are also really important" alongside AI fluency. I couldn't agree more.
• Target internships and graduate programmes deliberately. Level counted 799 AI internships live. That's not huge, but it's not zero, and they reward people who apply early and with real work to show.

If you're in a role that's genuinely exposed

• Customer service and routine back-office work are the clearest risk. Get ahead of it by becoming the person who runs, configures and improves the AI tools in your team. Try the assistants that are out there, whether that's Grok Bot, Claude or OpenAI's ChatGPT, and get good at using them on your actual work.
• Learn automation adjacent to what you already know. Your domain knowledge plus automation skills is a rare combination. That's exactly what roles like automation analyst, AI operations and forward deployed engineering are built on.

My take

The story of October 2026 isn't "AI is taking the jobs" or "AI is creating the jobs". It's that AI is moving the jobs, quickly, towards people who can build, deploy, evaluate and run AI systems. The cuts are real and they hurt. But the hiring is real too, it's well paid, and it's spreading into industries that have never hired AI talent before.

I'd rather be honest about the transition and help people get across it than pretend it isn't happening. If you're on the wrong side of a layoff this month, the best move is to point your experience at where the demand actually is.

Start by browsing the latest automation and AI jobs on AutomationRoles.ai, and if you want a deep dive on one of the hottest roles in the market right now, read our explainer on what a forward deployed engineer does.

Sources: AI Layoffs register, October 2026 (checked 28 October 2026); Level, "AI layoffs in 2026: the numbers, and who is hiring" (21 October 2026), citing Challenger, Gray & Christmas; AIimpacted, "Impact of AI on jobs in 2026" (updated 26 October 2026); BlueLine Research on the Dice September 2026 Tech Jobs Report and BLS data (26 October 2026); CNBC on Indeed Hiring Lab and Stanford AI Index data (11 October 2026).