AI Impact on the Job Market: What the Data Says for Software Engineers

Two headlines run side by side every week: AI is taking tech jobs, and tech companies are hiring again. Both have numbers behind them. This post lines up the primary sources (layoff trackers, job-posting data, government statistics, company filings and research papers) to see what AI’s impact on the job market actually is, with a focus on software engineers.

All figures were checked on 2026-10-17. AI labor data goes stale fast, so every number has its date.

Layoffs are high, but software postings are recovering

Layoffs are high. US employers announced 97,006 job cuts in May 2026, the highest May total since 2020, according to Challenger, Gray & Christmas. In tech, Layoffs.fyi counted 131,382 people laid off at 314 companies by mid-October 2026 (via Analytics Insight), already more than the 122,606 for all of 2025. The biggest 2026 cuts: Oracle (21,000), Amazon (17,536), Dell (11,000) and Meta (10,400). Other trackers count differently, so treat any single total as an estimate.

Software job postings are recovering, but from a deep hole. Indeed’s software development postings index stood at 78.1 on 2026-10-09, where February 2020 = 100 (Indeed Hiring Lab data). That’s about 22% below pre-pandemic and about two thirds below the February 2022 peak, but up 21.5% on a year earlier.

The long-term outlook was cut, not cancelled. The BLS now projects software developer jobs to grow 10% from 2025 to 2035, “much faster than the average” (BLS). The previous projection was 15.8%. “Computer programmers”, the narrower coding-only role, are projected to shrink 7%, and the BLS explicitly names AI automating repetitive programming tasks (BLS).

How many layoffs are really caused by AI?

Less than the headlines suggest. Through August 2026, employers cited AI in 116,175 announced US job cuts, about 22% of the total (Challenger). That’s a big jump: in all of 2025, AI was cited in 54,836 of 1,206,374 cuts, about 4.5% (Challenger). In the first half of 2026 alone, the count passed 100,000.

There are two ways to read that jump. Either AI got dramatically better at replacing people in a few months, or “AI” became the preferred reason to give. Even the people selling the models lean toward the second. Sam Altman, in February 2026:

“there’s some AI washing where people are blaming AI for layoffs that they would otherwise do, and then there’s some real displacement by AI of different kinds of jobs”

— Sam Altman, OpenAI CEO (via Gizmodo)

The wider labor data backs the skeptics. Yale’s Budget Lab, which tracks occupations by AI exposure, said in its September 2026 update that the data “does not provide clear evidence of labor market disruption” since ChatGPT launched (Yale Budget Lab). US weekly jobless claims hit their lowest level since 1969 in July 2026 (Bloomberg Law).

Engineers on the receiving end tend to agree:

“I delivered optimizations that saved 1m USD over the last 12 months … AI is just an excuse for layoffs”

— apatheticonion on Hacker News, after a layoff at Atlassian

Where the money is going instead: AI infrastructure

If AI isn’t doing the work, why cut? One explanation that holds up in company filings: the money is going to AI infrastructure.

• Alphabet, Amazon, Microsoft and Meta planned about $725 billion of capital spending in 2026, up 77% on the year before (Tom’s Hardware). That’s data centers, chips and power.
• Alphabet reported negative free cash flow of $5.86 billion in Q2 2026 (Alphabet earnings release). Meta’s free cash flow fell from $8.5 billion to $784 million year over year, about 91% (Meta earnings release).
• Oracle’s capital spending rose 162% to $55.7 billion in fiscal 2026, while its headcount fell by about 21,000 (Oracle 10-K).

Investors reward the AI framing too. When Block announced AI-driven layoffs of more than 4,000 of its roughly 10,000 employees in February 2026, its shares “soared more than 20% in premarket trading” (AP via WRTV).

Spending at this scale is a bet that demand will grow, not shrink. Read together with the cuts, the filings fit a simple pattern: fewer salaries, more data centers.

Companies that cut for AI are rehiring

A February 2026 Careerminds survey of 600 HR professionals at companies that cut roles because of AI found:

Robert Half found 32% of hiring managers who cut a role for AI had already rehired for it, and Forrester predicted that 55% of employers would regret AI layoffs.

The public examples follow the same pattern:

• Ford brought back about 350 experienced engineers over three years after automated quality systems missed problems they used to catch (TechCrunch).
• Klarna, which said its AI assistant did the work of 700 agents, started hiring humans again (Entrepreneur).
• Commonwealth Bank of Australia reversed 45 call-center cuts and apologized (The Nightly).

Most of those cuts weren’t engineering roles, but the lesson carries over: removing people without redesigning the work around AI leaves the same workload on fewer hands.

Entry-level software engineers are taking the hit

This is where AI’s effect on the job market shows up most clearly. Stanford’s Digital Economy Lab (“Canaries in the Coal Mine”, revised August 2026, using ADP payroll data) found employment of 22 to 25 year olds in AI-exposed jobs is 19% below where it would be had it kept pace with less-exposed peers. Experienced workers in the same jobs show no such gap. The cause is fewer hires, not more layoffs. For software developers aged 22 to 25 specifically, co-author Bharat Chandar wrote that employment was down nearly 20% from its late-2022 peak through July 2025 (Chandar).

The New York Fed’s data on recent graduates (ages 22 to 27, 2024 data) puts computer engineering at 7.8% unemployment, the second highest of 73 majors, and computer science at 7.0%, the fourth highest. The average across all majors is 4.2% (NY Fed). Those who do get hired still earn well: early-career median pay is $87,000 for computer science.

“For juniors and new grads, it’s a bloodbath. … Rates of applications to interviews are probably <1% for most people.”

— tavavex on Hacker News

Not every company is cutting juniors, though. AWS CEO Matt Garman called replacing junior staff with AI “the dumbest thing I’ve ever heard” (The Register), asking who would know anything in ten years. IBM plans to triple US entry-level hiring in 2026 (Yahoo Finance), and Cloudflare aims to hire 1,111 interns, up from about 60 (Entrepreneur India).

The junior gap and the mentoring problem behind it are covered in more depth in The Future of Software Engineering.

Senior engineers: the job is changing, not disappearing

The recovery in software postings is mostly senior. Indeed found 71% of the rise in software development postings between May 2025 and May 2026 came from senior roles, and 37% from jobs with AI in the title (Indeed Hiring Lab). The Pragmatic Engineer reported top tech companies hiring 20% more than a year earlier, while “prioritizing AI engineering recruitment over software engineers” (The Pragmatic Engineer).

AI now writes a lot of the code. Google says 75% of its new code is AI-generated and approved by engineers, up from 50% the previous fall (Google). Whether that makes engineers faster is less clear. In METR’s 2025 trial, experienced open-source developers took 19% longer with AI, while believing it made them 20% faster (METR). METR’s 2026 follow-up was inconclusive (METR). The top frustration in Stack Overflow’s 2025 survey, at 66% of developers, was AI answers that are “almost right, but not quite” (Stack Overflow).

That shifts senior work toward reviewing and fixing:

“Most of my current job is now going over PRs submitted by my team members, that are mostly all AI-generated, and cleaning them up.”

— olvy0 on Hacker News

Why business context still keeps engineers valuable is covered in why software engineers are still valuable.

Where software engineering demand is going

Follow the infrastructure spending and the demand shows up in cloud and AI work. AWS grew 37% in Q2 2026, its fastest in 18 quarters, and produced about 60% of Amazon’s operating income (Amazon earnings release). Google Cloud grew 82%. Someone has to build, secure and run that capacity.

The share of US job postings mentioning AI roughly doubled in a year, to 7.3% in September 2026 (Indeed AI tracker). PwC’s 2026 AI Jobs Barometer found a 62% wage premium for jobs requiring AI skills, compared with the same role without them (PwC).

Viral AI layoff claims, checked

Several claims going around come from a widely shared video by Tech With Soleyman, which prompted this post. Its main argument, that AI layoffs are as much about funding infrastructure and pleasing investors as about AI doing the work, holds up well against the filings. Some of its numbers don’t:

What this means if you’re a software engineer

Put together, the data says:

• AI is a stated reason for about one in five announced layoffs, and even Sam Altman says some of that is AI washing. The broad labor data shows no clear AI disruption yet, while big tech’s AI infrastructure bill keeps growing.
• The entry level is where AI’s effect is measurable, through fewer hires rather than layoffs.
• Demand is moving, not vanishing: toward senior engineers, AI engineering and cloud infrastructure.
• Companies that replaced people with AI too fast are rehiring: only about one in five said AI fully replaced the roles without problems.