AI transforms entry-level jobs into senior roles as workforce transformation accelerates

9 in 10 HR leaders believe AI will create new entry-level roles, and that middle managers are essential to this transformation

* 94% of HR leaders predict new entry-level job creation as a result of AI * Most see these roles evolving into AI supervisor roles * Soft skills are most in-demand, training isn't keeping up Although AI has proven to automate some of the lowest-value work, making it difficult for recent graduates to find jobs, new Cognizant and Pearson joint research suggests this could just be a temporary effect that could all be about to change, with an overwhelming majority (94%) of HR leaders expecting AI to create entirely new entry-level jobs in the next five years. But the definition of entry-level work is also undergoing a change, with 96% believing they will evolve into supervisory and managerial roles. More than 90% say middle managers will end up playing a critical role in redesigning these jobs and defining what work looks like. Entry-level roles aren't going, they're just changing A similarly high number (91%) of HR leaders have reported that employee demand for AI training has increased over the past year as junior workers seek opportunities to manage AI systems, however with only half (54%) of organizations providing AI training, they're not being supported. As for graduates themselves, the most in-demand skills no longer come from specialized degrees. Nearly all (97%) hirers think adaptability, problem-solving and human judgment are now more important. The report argues that organizations need to rethink how they support employees throughout their careers, but 60% admit their learning and development programs can't keep page with AI's pace. "As work evolves, the most successful organizations will focus less on replacing tasks and more on building the capabilities that help humans and AI work together," Pearson CHRO Ali Bebo said. While the study concludes that entry-level workers and graduates may not be at as much risk as they'd thought from AI, they could stand out from taking charge of their own upskilling as employers struggle to keep up. Follow TechRadar on Google News and add us as a preferred source to get our expert news, reviews, and opinion in your feeds.

Entry-level work didn't disappear, PwC finds with 'seniorization.' It just morphed into something young workers can't get | Fortune

Meanwhile, the entry-level career ladder has started showing real cracks, with experts such as Stanford's Erik Brynjolfsson arguing for clear signs in the data of disruption in AI-exposed occupations, even as the wider macro picture has shown that the earthquake isn't here, yet. A new PwC analysis of more than 1 billion job postings reveals a more precise and, for young workers, more troubling transformation: AI isn't eliminating the entry-level job. It's turning it into something entry-level workers can't get. The 2026 AI Jobs Barometer, released Monday, finds entry-level roles in highly AI-exposed occupations are now 7x more likely to require skills that have historically appeared later in a worker's career -- things like strategic decision-making, stakeholder management, leadership, and judgment. In the most AI-exposed occupations, 52% of new skills appearing in entry-level job postings were skills traditionally associated with experienced workers. In the least AI-exposed occupations, that figure was 7%. The seniorization of entry-level work PwC calls this "seniorization," and the numbers around it are stark. Job openings for these redrawn entry-level roles -- the ones that now ask a 22-year-old to demonstrate capabilities a 35-year-old would have -- have grown 35% since 2019. Traditional entry-level openings, in the same period, shrank 10%. This is the mechanism behind a labor market anomaly Fortune has tracked for the past year. A Harvard working paper that analyzed 62 million workers found junior hiring fell nearly 8% within six quarters at companies that adopted AI -- not through layoffs, but through a quiet freeze on new positions. Recent graduate unemployment hit 5.7% in the fourth quarter of 2025, according to the New York Fed, above the national rate and a near-reversal of the historic norm. Recent grad underemployment sits at 42.5%. The PwC data offers an explanation. Entry-level positions haven't vanished, but the job description has been quietly promoted up the skills ladder without notifying the people trying to get their foot in the door. Dan Priest, PwC's U.S. chief AI officer, was careful not to cast this as employers gaming the system. "I'd be cautious about framing this as employers using AI as a pretext for anything," he told Fortune. "What it does show is that employers are changing what they ask for in entry-level roles." He acknowledged the consequence directly: "If entry-level work is becoming more sophisticated, employers, educators, and policymakers all have a role to play in helping people build those capabilities earlier. The answer can't simply be to raise the bar and hope talent appears." "The broader story is that AI is changing the shape of entry-level work," Priest continued. "As AI takes on more routine tasks, employers are placing a greater premium on uniquely human capabilities and asking early-career workers to contribute those skills sooner than they have in the past." The bar has been raised, in other words, as AI reshapes not just what workers can do but what employers need. The infrastructure to clear it, not so much. "The message for education is not simply 'teach more AI,'" Priest said, but to teach AI along with the human capabilities that make AI useful. "The future advantage will go to people who can direct AI, challenge it and apply it to real, problems, not just prompt it." The productivity boom and its limits The other side of PwC's barometer complicates the simple story. Companies in the most AI-exposed sectors recorded 34% labor productivity growth since 2018, against 24% for the least exposed. At the top of the distribution, what PwC calls a "superstar effect" is emerging: The highest-performing 20% of the most AI-exposed companies achieved average labor productivity growth of 163% since 2018 -- nearly 5x higher than the average for AI-exposed firms overall. More counterintuitively, headcount at AI-heavy companies is growing faster than at least-exposed peers. This disrupts the basic "AI equals fewer workers" narrative, and the disruption is real. AI, at companies deploying it most effectively, appears to be expanding what organizations can do rather than simply substituting for the people who used to do it. "What matters for leaders is that the gap is real," Priest said. "The companies getting more value from AI are not just adding tools. They are redesigning workflows, rethinking decisions and embedding AI into how work gets done." But the headline figure masks a compositional question the barometer can't fully answer: Hiring more, yes -- but hiring whom? The seniorization finding suggests the entry-level share of those new headcounts is shrinking even as the totals grow. The most AI-exposed firms are hiring -- and they're looking for workers who can direct AI, apply judgment, and manage stakeholders. People who, historically, didn't show up for their first interview. Priest clarified the entry-level market is still growing in absolute terms. Across PwC's global early-career dataset, about 11 million early-career jobs were posted in 2025, up from 7.3 million in 2018 and 3.2 million in 2012. But in highly AI-exposed occupations, he acknowledged that growth is increasingly concentrated in judgment-forward entry-level roles. "The story isn't that entry-level work is disappearing, it's that the skills employers are looking for are evolving," he said. "In AI-exposed jobs, the skills gaining importance aren't just technical AI skills," he continued. "Increasingly, employers are looking for judgment, communication, leadership, creativity, and collaboration," he added, nothing these have historically developed later in workers' careers. That's a paradox for the Gen Z job seeker -- and the schools and internships training them. Where the jobs are actually growing There's a further wrinkle in the data that cuts against the usual narrative. Job posting growth since 2012 has been significantly faster in less AI-exposed occupations than in highly exposed ones. By 2025, the lowest AI-exposure quartile had 4.7 postings for every posting in 2012. The highest exposure quartile: 1.9. The occupations driving that growth are what you'd expect: construction, plumbing, welding, kitchen staff, agricultural workers, health care aides. These are physical, place-based, human-facing work that current AI can't substitute for directly. There's a version of this finding that gets spun into reassurance: The trades are booming, the economy is balancing itself, but that reading is too comfortable. It elides the wage and status reality of many of these roles, ignores that the workers currently shut out of AI-exposed entry-level positions weren't planning on plumbing careers, and sidesteps the structural question of who, exactly, is guiding them anywhere. Priest said the barometer is based on job postings, so only tells us how employer demand is changing. But the findings do make clear, in his view, that the "transition" needs to be managed intentionally. "If AI changes the first rung of the career ladder, then companies have a responsibility to redesign pathways into work, not just redesign work itself," he said. The most successful Fortune 500 companies, he added, citing direct experience, are the ones that invest heavily in workforce transformation. The picture, in aggregate, is of an AI economy delivering genuine productivity gains while quietly restructuring who can participate in them. The entry-level job hasn't been killed. It's been promoted -- and the promotion happened without notice, without a training program and without the policy framework that might have softened the transition. "AI is different from some earlier technology waves," Priest said, "because it is touching a broader set of occupations at once." It isn't confined to technology, reaching across professional services, finance, health care, education, operations, and many other areas.

What business leaders are getting wrong about AI's impact on entry-level jobs

The loudest voices in today's AI debate warn that entry-level jobs are disappearing and that young workers will be the first casualties of automation. It is a compelling narrative, but it is incomplete. AI has created a new set of early career opportunities that employers will ignore at their peril. According to LinkedIn's 2026 Labor Market Report, employers created at least 1.3 million AI-related job opportunities over the past two years, including roles like AI engineers, data annotators, and forward-deployed engineers. These jobs barely existed five years ago, yet they are already becoming essential to the modern economy. Workforce evolution itself is nothing new. What feels different now is the speed of change and the uncertainty people feel while living through it. This magnitude of change is compounded by macroeconomic factors that have contributed to a slow early career labor market. After peaking in summer 2022 at roughly 20% above February 2020, hiring has fallen nearly 40% in the U.S. and now sits about 24% below pre-pandemic levels. Higher interest rates, inflation pressure, weaker consumer confidence, geopolitical uncertainty, and recession fears have all made employers more cautious about adding headcount. Hiring is also coming down from an overheated 2021 and 2022 peak, while lower quit rates mean fewer workers are moving jobs and fewer entry-level seats are opening up. It's also true that many of the "grunt work" type tasks that have often been delegated to early career hires are the tasks that are most easily automated with AI.

Entry-Level Jobs Now Want Senior Skills as AI Splits the Workforce, New Study Finds

Get personalized, AI-powered answers built on 27+ years of trusted expertise. The jobs AI was supposed to make easier for beginners are, instead, often asking them to act like seasoned pros from day one. That's the upshot of a new report from PwC, which analyzed more than a billion job ads in 27 countries, including 2.4 million entry-level roles in the U.S. The jobs most exposed to AI are now seven times as likely to demand senior-level skills as the least AI-exposed entry-level roles, according to the report. AI-exposed entry-level roles that added those higher-level requirements grew 35% from 2019 to 2025. Comparable roles that didn't shrank 10%. PwC describes a "two-track" labor market. On one side sit "professionalized" roles -- radiologists or recruiters -- where AI clears the routine work so humans handle the judgment. They're about 22% of advertised jobs. In "democratized" roles, like IT service management, AI makes the job easier for nonexperts, and such roles account for roughly 52% of ads. The professionalized track is coming out ahead. Those roles are growing twice as fast as the "democratized" ones and have posted 42% faster wage growth since 2021. Meanwhile, the most AI-exposed jobs are piling on human-intensive tasks -- empathy, judgment, creativity -- at 2.5 times the rate of the least exposed. These are often the same well-paid, well-educated roles a separate Anthropic study flagged as the most exposed to AI. Taken together, the PwC and Anthropic studies show that exposure to AI doesn't mean a job will be automated out of existence. Instead, it hands routine work to AI and frees the worker for the parts that demand empathy and judgment. The companies best positioned to use AI are adding workers, not replacing them. Jobs at the most AI-exposed firms grew 52% since 2018, compared with 36% at the least-exposed firms, and wages rose 24% versus 17%. Getting in the door at all has become harder. PwC itself plans to cut U.S. entry-level hiring by about a third over three years and has trimmed the number of offices where new consultants can work from 72 to 13. It's part of a broader trend. In a break from historical patterns, recent U.S. college graduates are likelier to be unemployed than the average worker, the Federal Reserve Bank of New York reports. "AI is removing some of the routine work that once acted as an apprenticeship," Pete Brown, PwC's global workforce leader, said in a release.

Fewer job offers for junior roles due to AI, Swiss study shows

ZURICH, June 24 (Reuters) - Fewer junior positions are being advertised in Switzerland than before 2023 as firms increasingly adopt AI, a study by Swiss job portal jobs.ch published on Wednesday showed. The share of entry level roles advertised in Switzerland was 32% lower in 2025 than the average between 2019 and 2022, which the study defined as the "pre-AI" phase. The study, which looked at over 7.3 million job advertisements, said marketing, administration, finance and IT were especially hit by the adoption of AI. At the same time, AI skills were increasingly sought in positions outside of IT work and offers for senior positions rose 26% in AI-exposed roles in 2025 compared to the four-year period before 2023. Junior positions in AI-exposed-only roles, fell 16% in the same period. Demand for junior positions outside of office and research spaces meanwhile remained strong, particularly in healthcare, construction and trades with persistent shortages. When surveying more than 3,600 workers, 41% of under 25-year olds said they are worried about becoming less valuable in the workplace because of AI, or have what is known as AI "FOBO" - the fear of becoming obsolete. (Reporting by Marleen Kaesebier in Zurich, Editing by Linda Pasquini)