# AI-skilled Workers Command 56% Wage Premium > Source: > Published: 2026-06-19 04:31:28.665094+00:00 # AI-skilled Workers Command 56% Wage Premium PwC's 2026 Global AI Jobs Barometer, drawing on over one billion job ads across 27 countries, finds the average wage premium for AI-skilled workers has reached 62%, up from 57% the prior year. An earlier edition of the Barometer recorded 56% in 2024 data, up from 25% the year before. Jobs requiring AI-specific skills are growing 69% faster than the total labour market (9%). PwC identifies a bifurcating two-track labour market: 'professionalised' roles, where AI amplifies expert judgment, see twice the job growth and 42% faster salary gains than 'democratised' roles where AI lowers entry barriers. Companies most exposed to AI are outpacing peers on both headcount growth (52% vs 36%) and wage growth (24% vs 17%), with the top 20% most AI-exposed firms recording 163% labour productivity growth since 2018. ### What PwC Found PwC's 2026 Global AI Jobs Barometer, released June 15, 2026, analysed more than one billion job advertisements across 27 countries. The headline finding: the average wage premium for workers with AI skills reached 62% in 2026, up from 57% in the prior year's edition. For context, the 2025 Barometer (covering 2024 labour data) put the premium at 56%, up from 25% two years prior -- a rapid acceleration in market pricing for AI fluency (PwC press release, June 15, 2026). ### Two-Track Labour Market PwC frames the market as splitting into two distinct tracks. 'Professionalised' roles -- such as radiologists and recruiters, where AI automates routine tasks so that human judgment and expertise are emphasised -- are seeing twice the job growth and 42% faster salary gains compared to 'democratised' roles, where AI makes the function easier for non-experts. IT service managers and medical secretaries fall into the democratised category, per PwC. The report describes this as a structural shift, not a temporary dislocation. ### Entry-Level Shift Based on 2.4 million US entry-level job postings, PwC finds that AI-exposed entry-level roles are now seven times more likely to require traditionally senior-level skills -- judgment, leadership, creativity -- than other entry-level roles. Those 'seniorised' entry-level jobs grew 35% since 2019, while non-AI-exposed entry-level roles declined 10% over the same period (PwC). ### Company-Level Divergence The most AI-exposed companies are outpacing their least-exposed peers on headcount growth (52% vs 36%) and wage growth (24% vs 17%). Within the top tier, a pronounced effect emerges: the top 20% most AI-exposed firms recorded 163% labour productivity growth relative to 2018, nearly five times the rate of the broader high-exposure group. PwC Global Chief AI Officer Joe Atkinson said: "The companies seeing the greatest returns on AI are using it to amplify human expertise, accelerate innovation and create entirely new sources of value. As a result, they are pulling further ahead on productivity and growth than companies that focus primarily on automation." ### Implications for Practitioners PwC Global Workforce Leader Pete Brown said: "The traditional relationship between experience and expertise is changing. AI is removing some of the routine work that once acted as an apprenticeship, while increasing demand for judgement, leadership and adaptability much earlier in careers." Wage-premium variation is wide -- as high as 118% in consumer markets, as low as 16% in government and public sector. Technology, media and telecommunications (11%) and professional services (6%) recorded the highest share of AI job growth; health recorded less than 1%. ## Scoring Rationale PwC's 2026 AI Jobs Barometer is a well-sourced, large-scale quantitative study with directly actionable figures for hiring, compensation benchmarking, and upskilling decisions. Solid and practitioner-relevant, but as an annual consulting firm survey it does not represent a frontier technical advance or a market-shaping event, placing it in the solid/notable range rather than the notable-to-major band. Practice interview problems based on real data 1,500+ SQL & Python problems across 15 industry datasets — the exact type of data you work with. [Try 250 free problems](/problems)