Two markets running in opposite directions: that’s the cleanest way to read the tech job market 2026 picture. Overall US tech job listings sit roughly 36% below their February 2020 baseline, while machine learning engineer openings are up 59% over the same period, according to Indeed Hiring Lab (July 2025). General software engineering positions are down 49%. Anyone reading the headline “tech is hiring” or “tech is dead” is missing the bifurcation that explains both.
Why does the shape of the tech hiring market matter? Because the same recruiter is now sourcing two very different talent pools at once: a contracting market for general developers and a hot, scarce, expensive market for AI and machine learning specialists. This report pulls together 2025 and 2026 data from CompTIA, Stanford HAI, BLS, Robert Half, and Levels.fyi. Together those sources show what’s happening in the tech employment market, where the pay premium has concentrated, and what it means for Pin customers and other recruiters competing for the same engineers.
The short version: US tech postings are down ~36% from their pre-pandemic baseline while machine learning engineer roles are up 59% (Indeed Hiring Lab, 2025). At staff level, AI engineers earn a ~$25K floor premium and 18.7% more than non-AI peers (Robert Half 2026; Levels.fyi Q3 2025). Two markets, two playbooks: that’s the tech job market 2026 in one line.
Key Takeaways
- A two-way split in the tech market. Machine learning engineer listings are up 59% from the pre-pandemic baseline, while general software engineer openings are down 49% over the same window (Indeed Hiring Lab, July 2025). Treating “tech hiring” as one market hides the trend that matters.
- A roughly $25,000 floor premium for AI roles. Robert Half’s 2026 Salary Guide pegs the national software engineer range at $109,250 to $175,500, vs. $134,000 to $193,250 for AI/ML engineering. Premium widens at senior levels: AI staff engineers earn 18.7% more than non-AI peers (Levels.fyi Q3 2025).
- #1 fastest-growing US job, two years in a row: AI engineer. LinkedIn’s Jobs on the Rise 2026 list confirms it (LinkedIn, January 2026). Agentic AI ads alone surged 10,854% year over year (Stanford HAI 2026).
- Layoffs continued in 2025 but the pace is uneven. Crunchbase counted ~127,000 US tech layoffs in 2025; TrueUp’s global tracker logged 783 events affecting 245,953 workers. As of early May 2026, the daily layoff pace is actually faster than 2025.
- Total tech listings just turned positive again. March 2026 brought 537,000+ active tech openings, up 9.7% month over month and 8.9% versus the prior March (CompTIA Tech Jobs Report, March 2026). Three consecutive monthly gains.
What Are the Three Numbers Defining the Tech Job Market 2026?
Three headline numbers anchor the tech hiring market in 2026: 9.6 million, 3.9%, and 537,000. CompTIA put the US tech workforce at approximately 9.6 million workers in 2025, down 0.3% from 2024. It projects the workforce will reach 9.8 million in 2026, a 1.9% rise that creates roughly 185,499 net new jobs (CompTIA State of Tech Workforce 2026). That’s the contraction-then-rebound pattern recruiters keep asking about: a flat 2025, a measurable but modest expansion in 2026.
By March 2026, tech occupation unemployment sat at 3.9% (CompTIA Tech Jobs Report). Although it dipped to 2.8% in June 2025, the rate climbed to 4.0% by November 2025 before easing back. Tech unemployment has now spent two quarters above its 2024 floor without breaking through last year’s ceiling. To put that in context: US tech unemployment ran consistently below the broader labor market through most of 2024 and 2025, then crossed above national averages briefly in late 2025 before recovering. Movement in tenths of a percent is what a soft tech market actually looks like in aggregate. Loud layoff stories distort the picture.
Active tech job listings recovered through Q1 2026. By March, CompTIA had recorded 537,000+ active US tech openings, up 9.7% from February and 8.9% versus March 2025, the third consecutive monthly increase. Takeaway: volume is rising, but it’s rising into a market where the composition of demand has shifted hard toward AI. To understand how today’s tech employment trends fit the broader picture, see our macro hiring conditions report.
Outside tech specifically, our talent acquisition outlook covers what’s happening across all industries.
The AI Engineer / Software Engineer Bifurcation
One pattern dominates the software engineer job market in 2026: the bifurcation between AI and non-AI engineering demand. Indeed Hiring Lab’s July 2025 analysis indexed tech listings to their February 2020 baseline (set at 100) and found machine learning engineer ads at 159, all tech listings at 64, and general software engineer openings at 51. Android, Java, iOS, .NET, and web developer roles each fell more than 60% from baseline.
That gap, 108 index points between ML engineer and general software engineer listings, is the recruiter-relevant signal. It shows the tech employment market is not contracting uniformly: it’s rotating. Jobs getting cut are not the jobs getting created. Ranking AI engineer as the #1 fastest-growing role in the US for the second consecutive year, LinkedIn’s Jobs on the Rise 2026 list confirms it (LinkedIn, January 2026). Between 2023 and 2025, LinkedIn recorded 639,000 net-new AI-related US openings, including 75,000 specifically for AI engineer roles (WEF / LinkedIn Economic Graph, January 2026).
Concrete numbers make the second half of the bifurcation real. Stanford HAI’s 2026 AI Index found that agentic AI listings surged 10,854% in a single year, AI governance jobs grew 17%, and entry-level software developer employment fell nearly 20% from its 2024 peak (Stanford HAI AI Index 2026). Entry-level collapse is the part most market summaries skip. Fresh-graduate pipelines for traditional software engineering roles are unreliable in 2026, which is forcing recruiters to either source mid-level talent more aggressively or shift toward AI-adjacent jobs where openings still exist.
Pin’s take, based on our 2026 user survey - here’s what stood out: recruiters split into two camps based on what they were sourcing. Some said “the market is great”; others said “the market is dead.” Both were right. Customers running searches for AI/ML engineers reported acceptance rates and reply rates well above their long-run averages. Customers searching for general full-stack or front-end developers reported the opposite, with longer requisitions and pickier hiring managers. Same Pin search interface, same 850M+ profile pool, same recruiter, same week. The difference was entirely in which segment of the bifurcation a given req belonged to. That asymmetry is the most useful framing we’ve shared with customers heading into the second half of 2026, and it’s the part of the data picture that single-number summaries (unemployment rate, posting volume, layoff totals) cannot show on their own.
A parallel pattern shows up in adjacent data. Indeed Hiring Lab clocked genAI listings rising 170% from January 2024 to January 2025 (Indeed Hiring Lab, January 2026). CompTIA’s count of 275,000+ active US openings in January 2026 referencing AI skills marks a 153% jump from January 2024.
Roles that weren’t built around an AI workflow two seasons ago are now defined by one.
Hiring into the AI side of the split? Our deep dive on hiring for AI roles covers the tactics.
Tech Layoffs in 2025 and 2026 So Far
Layoffs in tech during 2025 were significant but concentrated. Crunchbase tallied ~127,000 US-based tech workers laid off in 2025; TrueUp’s global tracker logged 783 distinct layoff events affecting 245,953 workers worldwide (Crunchbase; TrueUp).
Both numbers are below 2023’s peak but above the typical pre-2022 baseline. Shape of 2025’s cuts also shifted: more were performance-driven and AI-rationalized, fewer were broad workforce reductions tied to over-hiring during the pandemic.
The pattern has not slowed in 2026. As of early May, TrueUp logged 249 tech layoff events year to date, affecting 95,878 workers worldwide, an average pace of 864 per day. That’s faster than 2025’s 674-per-day pace. Cuts in 2026 are concentrated in mid-career generalist roles at large employers, not the entry-level cohort or the AI-specialist cohort. Stanford HAI’s 2026 report finding of a roughly 20% drop in entry-level software developer employment from the 2024 peak overlaps here. Junior pipelines were already thin before 2026’s cuts started reshaping the middle of the org chart.
Two effects ripple from the layoff backdrop into recruiting. First, an active candidate pool for general software engineering jobs is unusually deep right now, which is why recruiters are seeing both higher inbound application volume and longer time-to-fill on identical reqs. Second, the AI-specialist segment is moving in the opposite direction: layoffs there are rare, and when they happen, laid-off engineers are typically off the market in days, not weeks. CompTIA noted that median tech salary in the US sat at $112,805 in 2026, more than 2x the national median across all occupations, with tech accounting for 8.7% of US GDP (~$2.3 trillion).
Labor cost has not collapsed even where listings have.
Our engineer recruiting strategies walk through sourcing channels and outreach patterns that still convert against this backdrop.
Where Is the Tech Salary Premium Concentrated in 2026?
Salary trends across tech in 2026 reflect the same bifurcation. BLS Occupational Employment and Wage Statistics put the median annual wage for software developers at $133,080 (May 2024 data, latest available), with the broader computer/IT median at $105,990 (BLS OOH). Inside Robert Half’s 2026 Technology Salary Guide, the AI/ML engineer midpoint sits at $170,750, with that role growing 4.1% annually vs. 1.6% for overall IT, and 87% of tech leaders saying they pay a premium for specialized skills (Robert Half 2026 Salary Guide).
Levels.fyi’s Q3 2025 dataset is the cleanest read on the AI premium curve. Where the gap sits at each level (vs. non-AI peers at the same seniority):
- Entry-level: +6.2%
- Mid-level: +11.9%
- Senior: +14.2%
- Staff: +18.7% (up from a 15.8% gap 12 months earlier)
That premium is widening, not converging (Levels.fyi, Q3 2025). It widens with seniority, especially at the staff level, where AI engineers earn the largest gap over non-AI peers and the gap is still growing year over year. Across the dataset, AI-focused software engineers earn an average of $245,000 annually.
Salary ranges at the role level tell the same story. Robert Half’s 2026 guide reports a national software engineer range of $109,250 to $175,500, vs. an AI/ML engineer range of $134,000 to $193,250 (Robert Half). Floor premium is roughly $25,000, before any equity or signing bonus considerations. Looking ahead, BLS projects software developer employment will grow 15% from 2024 to 2034, much faster than average, with about 129,200 openings annually and 317,700 yearly openings across all computer/IT occupations (BLS Occupational Outlook Handbook).
For readers who prefer a table, here are the same five reference points side by side, along with the floor-ceiling ranges Robert Half publishes for each role.
| Role | Salary Floor | Salary Ceiling | Source |
|---|---|---|---|
| Software Engineer (national range) | $109,250 | $175,500 | Robert Half 2026 |
| AI/ML Engineer (national range) | $134,000 | $193,250 | Robert Half 2026 |
| Software Developer (BLS median) | - | $133,080 | BLS OES May 2024 |
| AI/ML Engineer (Robert Half midpoint) | - | $170,750 | Robert Half 2026 |
| AI-Focused SW Engineer (Levels.fyi avg) | - | $245,000 | Levels.fyi Q3 2025 |
Practical implication: salary bands for any given role are wider than they were two seasons ago. AI/non-AI is now the strongest predictor of where a candidate sits inside that band. Robert Half’s reading that 87% of tech leaders pay premiums for specialized skills changes the underlying question for recruiters. It’s no longer “what does this role pay?” but “what does this role pay to a candidate with this specific specialization?”.
In-Demand Tech Skills: Which Roles Are Growing Fastest
Ten-year growth rates from CompTIA’s 2026 State of Tech Workforce report rank tech occupations against the national average. Data scientists and analysts top the list at 420% above the national rate. Cybersecurity analysts and engineers come in at 346%, software developers and engineers at 188%, IT directors and CIOs at 175%, and software QA and testers at 110%. AI-adjacent and security-adjacent jobs dominate that mix; traditional infrastructure and helpdesk work sit at the bottom. Inside the broader tech labor market, this is what’s driving the AI engineer hiring surge.
Skills layered underneath those occupations are changing fast.
WEF’s Future of Jobs Report 2025 ranks AI and big data as the fastest-growing skill category through 2030, with a projected net 78 million new jobs created globally by 2030. AI/ML specialists rank among the top three fastest-growing roles in percentage terms. Per Indeed Hiring Lab’s 2026 trends report, 54% of analyzed skills will undergo deeper transformation from AI, with 57% of “fully transformable” skills concentrated in technology fields (Indeed Hiring Lab, November 2025).
Stanford HAI’s 2026 finding that AI-related ads now make up 2.5% to 2.6% of all US job listings, growing from a small base into a structural share of the market, matters here. The skills checklist for in-demand tech roles in 2026 is not “Python plus a framework” anymore. It’s “Python plus a framework plus enough applied ML to ship a model into production plus enough prompt engineering to wire it into an agentic workflow.” Recruiters who screen on the old checklist are missing 30-40% of what hiring managers now want to see in the first conversation.
Is Tech Hiring Still Remote in 2026?
Remote work is still more common in tech than in any other US sector, but it’s no longer the default. Robert Half’s 2026 remote-work data shows 74% of tech ads as fully on-site, 18% as hybrid, and only 8% as fully remote (Robert Half, 2026). Tech still has a higher fully-remote share than any other industry tracked, but the dominant arrangement for new tech hires is now in-person.
Two recruiter-relevant implications follow from the shift back to on-site. First, geographic talent-pool depth matters again. Sourcing for an on-site San Francisco AI engineer role from a non-Bay-Area candidate base is now a meaningfully harder requisition than an identical role two seasons ago. Second, the remaining 8% fully-remote openings are exceptionally competitive: they receive 6-10x the applicant volume of comparable on-site listings, which means screening throughput is the bottleneck, not sourcing volume.
What This Means for Tech Recruiters in 2026
Tech job market 2026 data points to a single tactical conclusion for recruiters: the core skill is no longer running a single “tech sourcing” playbook. It’s running two playbooks in parallel, one tuned for the deep but slow-moving general software engineering pool, and another tuned for the shallow but fast-moving AI-specialist pool. Recruiters who do well in 2026 are the ones who have separated those two motions.
Agency recruiters see the math especially clearly. Nick Poloni at Cascadia Search Group described that bifurcation through the lens of agency revenue:
“I jumped into Pin solo toward the end of 2025 and closed out the year with over $1M in billings during just the final 4 months, no team, no agency. The sourcing data is incredible, scanning 850M+ profiles with recruiter-level precision to uncover perfect-fit candidates I’d never find otherwise. Best of all, the outreach feels genuinely personalized and non-generic, driving sky-high reply rates where candidates even thank me for the thoughtful messages.”
Nick Poloni, President at Cascadia Search Group
That outcome is what the AI side of the tech recruiting market makes possible right now: a single recruiter, no team, $1M in billings in four months. The set of channels that produces that result for an AI-engineer requisition will produce a much harder fight for a generalist front-end role.
Inside the tech job market 2026, recruiters competing for AI engineers will find that Pin is the most accessible AI sourcing platform on the market. Four reasons separate Pin from alternatives in this segment:
- 850M+ candidate profiles aggregated from professional networks, GitHub, Stack Overflow, patents, and the broader web.
- Recruiter-grade AI built by the team that built and sold Interseller to Greenhouse.
- 5x better outreach response rates than industry averages on the AI/ML cohort, where reply rates matter most.
- Free tier, no credit card required. Testing the platform against a single hard requisition costs nothing. According to Pin’s 2026 user survey, customers fill positions in an average of 14 days, the fastest time-to-fill of any AI recruiting platform.
Biggest mistake we see recruiters make in this market: treating “tech hiring is slow” as a settled state, when the data shows it’s the average of two trends moving in opposite directions. Recruiters who keep sourcing the AI-specialist segment with the same hand-curated approach they used for general developers in 2022 will keep losing candidates to faster-moving competitors. Tech employment trends pointing to that gap are not subtle anymore.
Frequently Asked Questions
Is the tech job market improving in 2026?
Yes, modestly. CompTIA reported 537,000+ active US tech listings in March 2026, up 9.7% month over month and 8.9% versus March 2025, the third consecutive monthly gain. US tech workforce is projected to grow 1.9% in 2026 to roughly 9.8 million workers, adding 185,499 net new jobs. Improvement is concentrated in AI-adjacent jobs, not across the board.
What is the tech unemployment rate in 2026?
The US tech occupation unemployment rate sat at 3.9% in March 2026, according to CompTIA’s Tech Jobs Report. It dipped to 2.8% in June 2025, climbed to roughly 4.0% by November 2025, then eased back. Tech unemployment briefly crossed above the broader US labor market in late 2025, the first time it had done so in years, before recovering in early 2026.
Are AI engineers really paid more than software engineers?
Yes, and the gap is widening. Robert Half’s 2026 Salary Guide places the AI/ML engineer midpoint at $170,750 vs. a software engineer national range of $109,250 to $175,500. Levels.fyi data shows AI staff engineers earn 18.7% more than non-AI staff engineers, up from 15.8% the previous year. The premium is concentrated at senior and staff levels.
How many tech workers were laid off in 2025 and 2026?
Crunchbase counted approximately 127,000 US-based tech layoffs in 2025; TrueUp’s global tracker logged 783 events affecting 245,953 workers worldwide. As of early May 2026, TrueUp tracked 249 events year to date affecting 95,878 workers, an average of 864 per day, faster than 2025’s 674-per-day pace. Cuts concentrated in mid-career generalist roles at large employers.
What tech skills are most in demand for 2026?
AI and big data skills top the WEF Future of Jobs 2025 fastest-growing list. CompTIA ranks data scientists and analysts (+420% vs. national growth), cybersecurity analysts (+346%), software developers (+188%), IT directors (+175%), and QA testers (+110%) as the fastest-growing tech occupations through 2034. Indeed Hiring Lab estimates 54% of skills will undergo deeper transformation from AI.
