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PwC released the 2026 AI Jobs Barometer.
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The 2026 AI Jobs Barometer analyzed more than 1 billion job postings.
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In highly AI-exposed occupations, entry-level roles are 7 times more likely to require skills that historically appeared later in a career.
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These later-career skills include strategic decision-making, stakeholder management, leadership, and judgment.
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In the most AI-exposed occupations, 52% of new skills appearing in entry-level job postings were traditionally associated with experienced workers.
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In the least AI-exposed occupations, 7% of new skills appearing in entry-level job postings were traditionally associated with experienced workers.
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Job openings for entry-level roles requiring previously senior-level skills grew 35% from 2019 to 2026.
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Traditional entry-level openings declined 10% from 2019 to 2026.
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A Harvard working paper analyzing 62 million workers found junior hiring fell nearly 8% within six quarters at companies that adopted AI.
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Recent graduate unemployment was 5.7% in the fourth quarter of 2025, according to the Federal Reserve Bank of New York.
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Recent graduate unemployment in the fourth quarter of 2025 was above the national unemployment rate.
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Recent graduate underemployment was at 42.5%.
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Dan Priest serves as the U.S. chief AI officer at PwC.
Dan Priest, U.S. chief AI officer at PwC
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"I’d be cautious about framing this as employers using AI as a pretext for anything."
Dan Priest, U.S. chief AI officer at PwC
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"What it does show is that employers are changing what they ask for in entry-level roles."
Dan Priest, U.S. chief AI officer at PwC
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"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."
Dan Priest, U.S. chief AI officer at PwC
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"The answer can’t simply be to raise the bar and hope talent appears."
Dan Priest, U.S. chief AI officer at PwC
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"The broader story is that AI is changing the shape of entry-level work."
Dan Priest, U.S. chief AI officer at PwC
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"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."
Dan Priest, U.S. chief AI officer at PwC
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"The future advantage will go to people who can direct AI, challenge it and apply it to real, problems, not just prompt it."
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Companies in the most AI-exposed sectors recorded 34% labor productivity growth since 2018.
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Companies in the least AI-exposed sectors recorded 24% labor productivity growth since 2018.
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The highest-performing 20% of the most AI-exposed companies achieved an average labor productivity growth of 163% since 2018.
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Headcount at AI-heavy companies is growing faster than at companies with minimal AI exposure.
Dan Priest, U.S. chief AI officer at PwC
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"What matters for leaders is that the gap is real."
Dan Priest, U.S. chief AI officer at PwC
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"The companies getting more value from AI are not just adding tools."
Dan Priest, U.S. chief AI officer at PwC
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"They are redesigning workflows, rethinking decisions and embedding AI into how work gets done."
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About 11 million early-career jobs were posted in 2025 across PwC’s global early-career dataset.
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PwC recorded 7.3 million early-career job postings in 2018.
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PwC recorded 3.2 million early-career job postings in 2012.
Dan Priest, U.S. chief AI officer at PwC
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"The story isn’t that entry-level work is disappearing, it’s that the skills employers are looking for are evolving."
Dan Priest, U.S. chief AI officer at PwC
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"In AI-exposed jobs, the skills gaining importance aren’t just technical AI skills."
Dan Priest, U.S. chief AI officer at PwC
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"Increasingly, employers are looking for judgment, communication, leadership, creativity, and collaboration."
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Job posting growth since 2012 was faster in less AI-exposed occupations than in highly AI-exposed ones.
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