{"id":9365,"date":"2026-06-18T16:45:29","date_gmt":"2026-06-18T16:45:29","guid":{"rendered":"https:\/\/friscotimes.org\/?p=9365"},"modified":"2026-06-19T10:14:07","modified_gmt":"2026-06-19T10:14:07","slug":"entry-level-work-didnt-disappear-pwc-finds-it-just-morphed-into-something-young-workers-cant-get","status":"publish","type":"post","link":"https:\/\/friscotimes.org\/?p=9365","title":{"rendered":"Entry-level work didn’t disappear, PwC finds. It just morphed into something young workers can’t get"},"content":{"rendered":"


\n<\/p>\n

We\u2019ve all heard the debate about AI and jobs: An apocalypse is coming, there are only 18 months left to save white-collar work, no job will be unchanged. Former White House AI czar David Sacks, shortly before he left after his year of service, argued doomsday predictions from figures such as Dario Amodei and Sam Altman had been a \u201cdamage to public trust<\/a>.\u201d Amodei and Altman have walked back their predictions of late, Fortune<\/em> was among the first to note<\/a>, but the fear and angst remain among Gen Z job seekers.<\/p>\n

\n

Meanwhile, the entry-level career ladder has started showing real cracks, with experts such as Stanford\u2019s 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\u2019t here, yet.<\/p>\n

A new PwC analysis of more than 1 billion job postings reveals a more precise and, for young workers, more troubling transformation: AI isn\u2019t eliminating the entry-level job. It\u2019s turning it into something entry-level workers can\u2019t get.<\/p>\n

The 2026 AI Jobs Barometer<\/a>, 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\u2019s career\u2014things 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%.<\/p>\n

The seniorization of entry-level work<\/h2>\n

PwC calls this \u201cseniorization,\u201d and the numbers around it are stark. Job openings for these redrawn entry-level roles\u2014the ones that now ask a 22-year-old to demonstrate capabilities a 35-year-old would have\u2014have grown 35% since 2019. Traditional entry-level openings, in the same period, shrank 10%.<\/p>\n

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<\/div>\n<\/figure>\n

This is the mechanism behind a labor market anomaly Fortune<\/em> 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\u2014not 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<\/a>, above the national rate and a near-reversal of the historic norm. Recent grad underemployment sits at 42.5%.<\/p>\n

The PwC data offers an explanation. Entry-level positions haven\u2019t 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.<\/p>\n

Dan Priest<\/a>, PwC\u2019s U.S. chief AI officer, was careful not to cast this as employers gaming the system. <\/p>\n

\u201cI\u2019d be cautious about framing this as employers using AI as a pretext for anything,\u201d he told Fortune<\/em>. \u201cWhat it does show is that employers are changing what they ask for in entry-level roles.\u201d <\/p>\n

He acknowledged the consequence directly: \u201cIf 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\u2019t simply be to raise the bar and hope talent appears.\u201d<\/p>\n

\u201cThe broader story is that AI is changing the shape of entry-level work,\u201d Priest continued. \u201cAs 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.\u201d<\/p>\n

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. <\/p>\n

\u201cThe message for education is not simply \u2018teach more AI,\u2019\u201d Priest said, but to teach AI along with the human capabilities that make AI useful. \u201cThe future advantage will go to people who can direct AI, challenge it and apply it to real, problems, not just prompt it.\u201d<\/p>\n

The productivity boom and its limits<\/h2>\n

The other side of PwC\u2019s 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 \u201csuperstar effect\u201d is emerging: The highest-performing 20% of the most AI-exposed companies achieved average labor productivity growth of 163% since 2018\u2014nearly 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.<\/p>\n

This disrupts the basic \u201cAI equals fewer workers\u201d 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. <\/p>\n

\u201cWhat matters for leaders is that the gap is real,\u201d Priest said. \u201cThe 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.\u201d<\/p>\n

But the headline figure masks a compositional question the barometer can\u2019t fully answer: Hiring more, yes\u2014but 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\u2014and they\u2019re looking for workers who can direct AI, apply judgment, and manage stakeholders. People who, historically, didn\u2019t show up for their first interview.<\/p>\n

Priest clarified the entry-level market is still growing in absolute terms. Across PwC\u2019s 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. <\/p>\n

\u201cThe story isn\u2019t that entry-level work is disappearing, it\u2019s that the skills employers are looking for are evolving,\u201d he said.<\/p>\n

\u201cIn AI-exposed jobs, the skills gaining importance aren\u2019t just technical AI skills,\u201d he continued. \u201cIncreasingly, employers are looking for judgment, communication, leadership, creativity, and collaboration,\u201d he added, noting these have historically developed later in workers\u2019 careers. That\u2019s a paradox for the Gen Z job seeker\u2014and the schools and internships training them.<\/p>\n

Where the jobs are actually growing<\/h2>\n

There\u2019s 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.<\/p>\n

The occupations driving that growth are what you\u2019d expect: construction, plumbing, welding, kitchen staff, agricultural workers, health care aides. These are physical, place-based, human-facing work that current AI can\u2019t substitute for directly.<\/p>\n

There\u2019s 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\u2019t planning on plumbing careers, and sidesteps the structural question of who, exactly, is guiding them anywhere.<\/p>\n

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 \u201ctransition\u201d needs to be managed intentionally. <\/p>\n

\u201cIf AI changes the first rung of the career ladder, then companies have a responsibility to redesign pathways into work, not just redesign work itself,\u201d he said. The most successful Fortune 500 companies, he added, citing direct experience, are the ones that invest heavily in workforce transformation.<\/p>\n

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\u2019t been killed. It\u2019s been promoted\u2014and the promotion happened without notice, without a training program and without the policy framework that might have softened the transition.<\/p>\n

\u201cAI is different from some earlier technology waves,\u201d Priest said, \u201cbecause it is touching a broader set of occupations at once.\u201d <\/p>\n

It isn\u2019t confined to technology, reaching across professional services, finance, health care, education, operations, and many other areas.<\/p>\n

[This report has been updated to clarify that David Sacks did not resign from the White House over a policy dispute.]<\/em><\/p>\n<\/div>\n\n","protected":false},"excerpt":{"rendered":"

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