How AI Is Reshaping Hiring in the U.S. and U.K. in 2026

AI is reshaping hiring less like a single wave of mass replacement and more like a sorting mechanism. Employers are reducing or redesigning routine junior tasks in exposed occupations while paying a premium for workers who combine AI capability with technical, regulatory, commercial, or interpersonal judgment.

The result is a two-track labor market in the United States and United Kingdom: fewer traditional entry points in some technology and professional roles, alongside fast-growing demand for specialist and AI-augmented work.

U.S. layoffs: AI is a leading stated reason, but the numbers need context

Challenger, Gray & Christmas recorded 97,006 U.S. planned job cuts in May 2026. Employers explicitly attributed 38,579 of those announcements to artificial intelligence—40% of the monthly total and the highest monthly AI-linked figure in Challenger’s series. 18

The monthly total then fell to 45,849 cuts in June and 33,429 in July. AI remained the leading stated reason in July, accounting for 10,970 announced cuts, or 33% of the total. 19 17

These figures describe employer-announced layoff plans, not necessarily completed dismissals. They also show what employers cited as a reason, rather than proving that AI independently caused each cut or measuring AI’s total effect on employment. That distinction matters: a company may be restructuring around AI while also responding to weaker demand, cost pressure, outsourcing, or other business conditions.

The sharpest pressure is appearing at the start of careers

The strongest evidence of labor-market disruption is concentrated among younger workers in highly AI-exposed occupations rather than across the entire workforce.

Stanford researchers report that employment among 22-to-25-year-olds in highly AI-exposed occupations was about 19% below the level it would have reached if it had kept pace with similarly aged workers in less-exposed occupations. They found no comparable gap among experienced workers. The decline was concentrated in occupations where AI primarily substitutes for human tasks; employment was flatter or rising where AI complemented workers.

This does not mean that every junior technology or professional-services role is disappearing. It suggests that firms may need fewer people for the supervised, repetitive tasks that traditionally helped graduates build experience—such as routine coding, research, documentation, analysis, and customer support.

PwC’s global analysis points to a related change in job design: AI-exposed U.S. entry-level roles were seven times more likely to request traditionally senior capabilities such as judgment and leadership. Those roles grew 35% between 2019 and 2025, while other entry-level roles declined 10%. 8

U.K. hiring is weaker, especially for graduates

The broader U.K. hiring market also deteriorated during the first half of 2026. Job postings fell 11% from the start of the year and stood 32% below their pre-pandemic baseline. Graduate postings were down 7% year over year and at their lowest seasonal level since 2020.

A separate employer survey found that 36% of U.K. firms had reduced the number of entry-level jobs available to younger workers over the previous year. The survey identified AI and other forms of automation as contributing factors, but it does not establish that they were the sole cause.

The evidence therefore supports a deterioration in access to early-career work, not an AI-only explanation for youth unemployment. National unemployment rates also respond to economic growth, interest rates, education-to-work transitions, vacancies, and labor-market policy. The available data cannot isolate AI as the cause of aggregate youth unemployment in either country.

Technology and finance show the two-track effect most clearly

Technology and other digitally intensive sectors are among the most exposed because many roles contain tasks that can be automated or augmented. In the U.K., technology, media, and telecommunications recorded the highest share of AI-related postings in 2025. 4 Globally, the sector had the highest share of postings requiring AI skills at 11.4%, ahead of professional services at 5.6% and financial services at 5.4%. 14

Financial services provides an especially clear example of simultaneous contraction and expansion. Globally, the share of financial-services postings requiring AI skills rose from 3.4% in 2024 to 5.4% in 2025. Total sector postings increased 12.8%, while AI-role postings rose 77.4%. 2 3

The U.K. financial sector likewise saw vacancies rise 12% in 2025, driven by demand for artificial intelligence, software, regulatory compliance, and data-management specialists. A separate survey found that more than half of U.K. financial-services firms expected to increase hiring in 2026, with recruitment focused primarily on technology and AI, even as broader people investment and early-career hiring lagged in some areas. 13

The pattern is not simply “finance jobs are safe” or “finance jobs are disappearing.” Firms appear to be reallocating hiring toward roles that help them deploy AI, control its risks, meet regulatory obligations, and interpret its outputs.

Which skills are gaining value?

The emerging requirement is AI plus domain expertise, rather than a narrow technical credential alone. Employers are seeking combinations of:

• Data and AI literacy
• Software and data engineering
• Model evaluation and quality control
• Cybersecurity, governance, and risk management
• Regulatory and financial-services knowledge
• Product design and process redesign
• Communication, creativity, interpretation, and judgment
• Adaptability and continuous learning

A financial-services workforce report similarly identifies rising demand for data, governance, software engineering, interpretation, and product design, alongside adaptability, creativity, and critical thinking. 5

The shift is broad. IMF analysis of millions of vacancies found that roughly one in 10 job postings in advanced economies requires at least one new skill, with professional, technical, and managerial roles particularly affected. IT accounts for more than half of the demand for these new skills, while the strongest wage premiums are associated with IT, business and data analysis, and engineering. 12 11

AI is creating roles as it changes others

The weaker outlook for some junior roles is occurring alongside strong demand for AI-related work. In the U.K., postings requiring AI skills increased by around 68,000 in 2025, reaching 2.2% of all postings. Specialist AI postings rose 61%, and the average reported wage premium for workers with AI skills reached 34.2%, up from 11% in 2024. 4 9

AI Engineer was also among the fastest-growing entry-level roles in the latest cross-market data, increasing 62% year over year in the United States and 97% in the United Kingdom. 1

That growth does not automatically replace the entry-level jobs being reduced. Specialist AI roles typically require different preparation, and an expanding market for AI engineers cannot by itself absorb every worker displaced from routine software, administrative, research, or support tasks.

The central risk is a broken talent pipeline

The most important labor-market question is not simply how many jobs AI eliminates or creates. It is whether employers preserve enough junior work for people to learn the skills needed for experienced roles.

AI can make senior employees more productive and generate demand for engineering, governance, compliance, data, and product expertise. But if companies remove the supervised tasks through which new workers gain experience, they may weaken the future supply of those same specialists.

For employers, the practical challenge is to redesign entry-level roles rather than remove the learning pathway entirely. For workers, the strongest positioning is increasingly a combination of AI fluency, sector knowledge, and demonstrable judgment. The 2026 data show a labor market in transition—not a universal job collapse, but a growing divide between work AI can absorb and work that depends on people who can direct, verify, and apply it responsibly.