AI-Exposed Companies Hire 52% More Staff Than Peers, PwC Finds

AI adoption accelerates hiring rather than replacing workers

Companies most capable of deploying artificial intelligence are expanding their workforces significantly faster than organizations with less AI exposure, according to a comprehensive new study from PwC. Firms operating in AI-intensive sectors grew headcount by 52% compared to just 36% growth at companies least able to leverage the technology, both measured against 2018 baseline levels.

The finding challenges widespread assumptions that AI primarily eliminates jobs. Instead, PwC's 2026 Global AI Jobs Barometer—which analyzed over one billion job advertisements across 27 countries—reveals AI is reshaping what employers value in workers while creating distinct pathways for different types of roles.

Two tracks emerge in the global labor market

PwC identifies a fundamental split in how AI affects different occupations. "Professionalised" roles, where AI handles routine tasks and amplifies human expertise, are experiencing twice the job growth and 42% faster salary increases compared to "democratised" roles, where AI simplifies work enough for non-specialists to perform it.

Radiologists and recruiters exemplify the professionalised category—AI automates repetitive elements while human judgment becomes more critical. IT service managers and medical secretaries fall into the democratised group, where AI reduces the specialized knowledge previously required.

The productivity gap is widening dramatically. The top 20% of AI-exposed companies achieved 163% labor productivity growth relative to 2018, nearly five times higher than average gains among AI-intensive firms overall.

Entry-level positions demand senior skills

AI is fundamentally altering career entry points. Analysis of 2.4 million U.S. entry-level job postings shows positions most exposed to AI now require traditionally senior-level capabilities—leadership, creativity, face-to-face interaction—seven times more frequently than other junior roles.

These "seniorised" entry-level positions grew 35% since 2019, while conventional entry-level openings contracted 10%. The shift suggests AI is removing the routine work that historically served as on-the-job training, forcing organizations to seek judgment and adaptability earlier in careers.

AI skills command 62% wage premium

Workers with specific AI capabilities continue to command substantial pay advantages. The average wage premium for AI skills reached 62% in 2025, up from 57% the previous year. That premium varies widely by sector—reaching 118% in consumer markets while sitting at 16% in government and public sector work.

Jobs explicitly requiring AI expertise such as prompt engineering or machine learning are growing at 69%, roughly eight times faster than the 9% expansion rate for the overall job market. Technology, media, telecommunications, and professional services sectors show the highest concentration of AI job growth, at 11% and 6% respectively, while healthcare lags below 1%.

Why it matters

The data contradicts dystopian predictions of mass technological unemployment while revealing a more nuanced challenge: AI is creating a bifurcated labor market where returns increasingly concentrate among workers who can leverage the technology to amplify expertise. Companies that successfully deploy AI aren't just automating—they're expanding, hiring more people, and paying premiums for human skills that complement machine capabilities. Organizations that fail to adapt risk falling further behind on both productivity and talent acquisition as the gap between AI leaders and laggards continues to widen.

The findings were first reported by PwC in their 2026 Global AI Jobs Barometer, released June 15, 2026.