# PwC Finds AI Creates Two-Track Global Labour Market > Source: > Published: 2026-06-15 06:42:55.397042+00:00 # PwC Finds AI Creates Two-Track Global Labour Market According to PwC's 2026 Global AI Jobs Barometer, released June 15, AI is producing a "two-track" labour market in which "professionalised" roles grow faster than roles "democratised" by AI. The Barometer analysed more than **1 billion** job ads across **six continents**, per the report. It finds companies most able to use AI show faster headcount growth (** 52%**) versus the least AI-exposed firms (** 36%**) and higher wage growth (** 24%** vs **17%**). The report says "super-star companies" most exposed to AI achieved labour productivity gains of **163%**. Jobs requiring AI skills grew **69%**, compared with **9%** for the total jobs market, and the average wage premium for AI skills rose to **62%**. PwC also reports that AI-exposed entry-level US roles are seven times more likely to require traditionally senior skills and grew **35%** since 2019. ### What happened According to **PwC**'s **2026 Global AI Jobs Barometer**, released June 15, AI is reshaping the global labour market into a two-track structure. The Barometer analysed **more than 1 billion** job ads across **six continents**, per the report. It classifies roles as "professionalised" (where AI automates routine tasks and emphasises human judgement and expertise) and "democratised" (where AI makes roles easier for non-experts). PwC reports that "professionalised" roles show twice the job growth and **42%** faster salary growth than "democratised" roles. The report finds firms most able to use AI experienced headcount growth of **52%** versus **36%** for the least AI-exposed firms, and wage growth of **24%** versus **17%**. PwC highlights that "super-star companies" most exposed to AI achieved labour productivity gains of **163%**. Jobs explicitly requiring AI skills grew **69%**, relative to **9%** for the total jobs market, and the average wage premium for AI skills rose to **62%**. In US entry-level data covering **2.4 million** job ads, PwC found AI-exposed entry-level roles are seven times more likely to list traditionally senior human-intensive skills; those roles grew **35%** since 2019 while other entry-level roles fell **10%**. ### Editorial analysis - technical context Industry-pattern observations: the Barometer uses large-scale job-ad text analysis, which captures employer demand signals rather than worker-level outcomes. Measuring exposure through job-ad language typically highlights changing skill requirements and wage offers, but it does not directly measure incumbent worker displacement or retraining outcomes. Analysts reading demand-side job-ad studies should note that job posting counts can be influenced by hiring practices, churn, and multiple postings per vacancy. ### Context and significance Industry context: The report reinforces a recurring distinction in recent research between task augmentation and task automation. For practitioners, the combination of a **62%** wage premium for AI skills and rapid growth in AI-labelled openings suggests continued market pressure to upskill in AI-related competencies and in human-intensive skills like judgement and leadership. Employers, training providers, and workforce planners will likely treat job-ad signals as an input when designing curricula and recruitment criteria, not as a full view of labour market transitions. ### What to watch Watch for follow-up metrics that validate demand-side signals at the worker level, including employment retention, wage trajectories for incumbent workers, and formal upskilling investments. Observers should also monitor sectoral variation in the two-track pattern and whether entry-level "seniorised" roles persist as hiring and onboarding practices evolve. ## Scoring Rationale A large, cross-continent PwC report provides notable demand-side evidence that AI is changing job requirements and wage premiums, which matters for hiring, training, and workforce planning. The finding is important but does not directly alter model development or infrastructure priorities. Practice with real Ad Tech data 90 SQL & Python problems · 15 industry datasets [Active Search Campaigns by BudgetEasy](/problems/sql/active-search-campaigns-by-budget) [High CPC Clicks & Poor Landing PagesMedium](/problems/sql/high-cpc-clicks-poor-landing-page) [Campaign ROAS by Attribution ModelHard](/problems/sql/campaign-roas-by-attribution-model) 250 free problems · No credit card [See all Ad Tech problems](/problems/datasets/adtech)