AI and the labour market: entry-level squeeze, blue-collar boom, and a political split

The AI jobs story does not fit one headline. The evidence from mid-2026 points in at least three directions at once: a weak entry-level market for graduates, a hiring boom in the trades that build data centres, and a political realignment of who worries about the whole thing.

Start with the graduate numbers, because they are the clearest. According to the Federal Reserve Bank of New York, college graduates aged 22 to 27 had an unemployment rate of 5.7% as of June 2026. That is well above the national average, and a full percentage point higher than it was two years earlier for their cohort. The unemployment rate for all young workers that month was 7.2%. The underemployment rate, meaning college graduates working in jobs that do not require a bachelor's degree, reached 42% for recent graduates, against 33.7% for all college graduates.

Attribution matters here. The New York Fed studied job postings and concluded that "while AI may be contributing to recent labor market developments, it is not the main driver of the slowdown in hiring." Its employer survey found companies "mostly intend to incorporate AI mainly via retraining, with limited effects on hiring." That is a more cautious reading than the headlines around Inside Higher Ed's September report, which described a recession-like market for some new graduates.

What employers and students are actually doing

The hiring process itself has changed faster than the labour market data can confirm. Sixty-six percent of recruiters said at the beginning of 2026 that they planned to increase their use of AI for pre-screening interviews, according to LinkedIn research cited by CNBC, while 81% of job seekers said they had used or planned to use AI in their search. The National Association of Colleges and Employers found AI skills cited in 16.5% of job descriptions in the spring, up from 10.5% the previous autumn, with 28% of employers seeking early-career hires who can use AI at work.

"Employers are increasingly asking graduates to be ready for AI, while a significant portion of students are asking whether AI deserves a place in their work at all," NACE president and CEO Shawn VanDerziel stated in the research release.

Students are not uniformly convinced. In NACE's 2026 Student Survey, close to one-third of graduating seniors said AI skills would be of little or no importance to their future careers, and over half said they were not building AI skills and were not using AI in their job search. Handshake, the early-career platform, says 2026 seniors mentioned AI skills on their resumes at twice the rate of the class of 2022, with 74% of those mentions tied to real-world projects rather than coursework. Both things can be true: a visible, AI-forward minority and a larger, sceptical remainder.

The entry-level squeeze has a second front. In Turkey, a country that built more than 800 mobile game studios at its peak, entry-level roles are disappearing as small teams use tools like Claude Code, OpenAI Codex and Copilot to ship games that once needed a full studio, according to a Rest of World report covered by Windows Central. One developer told Rest of World he needed just two employees to match the productivity of a much larger operation. A university director in Turkey now warns students against the traditional path of joining in a junior role and working up. She tells them to build their own games while still in school.

The other side of the ledger

Meanwhile the infrastructure buildout is hiring. ZipRecruiter labour economist Nicole Bachaud told CNBC that welder and pipefitter postings are up 164% year over year, and that the mean minimum salary for data centre jobs rose 125.1% year over year to nearly $208,000, a figure she attributed to highly specialised engineering roles pulling the average up. Maria Flynn of Jobs for the Future said an apprentice-level technician can take home $40,000 to $60,000, with experienced electricians commanding north of $100,000.

Research from Cushman & Wakefield cited by CNBC estimates that every 100MW of new data centre development creates nearly 1,300 jobs in the local economy, generating about $110 million in annual wages. Many of those roles suit a trade school path rather than a degree. Justin Sinkovich of Columbia College Chicago pointed to Louisiana, where he said Amazon committed $12 billion to a data centre with 540 on-site jobs including 1,700 electricians, technicians and security personnel, and Meta's Hyperion project is valued at $27 billion.

The politics is turning against the buildout even where the jobs are. Seventy percent of Americans oppose a data centre being built in their local area, according to Gallup, and a New York Times/Siena poll this month found roughly two-thirds opposed regardless of party. Data Center Watch counts at least 75 projects worth roughly $130 billion blocked or delayed this year. Texas Governor Greg Abbott has issued a data centre grid approval moratorium.

Then there is the broader jobs picture the AI debate sits inside. The US economy shed 23,000 jobs in July, the Bureau of Labor Statistics said on August 7, with the unemployment rate at 4.1% and labour force participation at 61.4%, the lowest since February 2021. ADP's separate count for the same month showed private employers adding 44,000 jobs. Healthcare was the only sector with notable gains, adding 22,000 roles against an average monthly gain of 36,000 over the past year.

Pew Research Center found the anxiety has flipped partisan. In a June survey of 3,488 US adults, 56% of Democrats said they were more concerned than excited about AI's increased use in daily life, against about half of Republicans. Two years ago more Republicans than Democrats expected AI to lead to fewer jobs; now 75% of Democrats and 68% of Republicans predict that over the next 20 years. The labour market is being reshaped faster than either party has settled on what to do about it.