PwC's 2026 Global AI Jobs Barometer, drawn from over a billion job postings across 27 countries, finds that heavy AI spenders are growing their workforces 44% faster than peers , and paying workers more to do it.
The AI-kills-jobs story has been told confidently, repeatedly, and , according to the largest labour market study of its kind , incorrectly. PwC's 2026 Global AI Jobs Barometer, released this month and reported by the Financial Times, tracked more than one billion job advertisements across 27 countries to reach a conclusion that cuts against the prevailing anxiety: companies investing most heavily in AI have grown their headcount 52% since the 2018 baseline, compared with 36% for their lighter-spending peers. They're also paying workers more. Wages at the most AI-exposed companies are rising faster, which means the gains aren't being quietly pocketed , they're being shared.
That gap matters because it suggests the relationship between AI spending and employment isn't substitution but amplification. The more a company deploys AI, the more skilled people it apparently needs to extract value from it. That's not a comfortable truth for the automation-anxiety camp, but it's what the data says.
The nuance PwC introduces , and it's important , is that AI isn't lifting all roles equally. The study describes a bifurcation into what it calls 'professionalised' and 'democratised' roles, and the gap between them is widening fast. Professionalised roles are those where AI handles the routine so humans can apply judgment, creativity, and expertise: think radiologists whose diagnostic load AI filters, or recruiters whose sourcing AI automates so they can focus on candidate relationships. These roles are growing twice as fast as democratised ones, and their salaries are climbing 42% faster since 2021.
Democratised roles sit on the other track. These are jobs AI has made easier for non-experts to perform , IT service managers, medical secretaries, and similar positions where the skill bar has dropped because the tool now does much of the cognitive lifting. They're not disappearing, but they're not where the market is paying a premium. The wage signal here is flat relative to the professionalised tier.
For founders and operators, that split is where the strategic insight lives. If you're building a company and your AI investment is primarily lowering the cost of tasks, you're on the democratised path. If you're using AI to enable smaller teams to do higher-order work , complex analysis, customer judgment calls, creative decisions , you're building the kind of organisation the labour market is now rewarding.
Where the hiring is actually happening
The sector breakdown is telling. Technology, media and telecommunications leads all sectors: nearly one in eight new job roles at TMT companies is now AI-related, accounting for 11% of AI job growth. Professional services follows at 6%. Healthcare sits at the low end with less than 1% , a reflection, likely, of regulatory drag and the complexity of integrating AI into clinical workflows rather than any lack of applicable use cases.
AI-specific roles across the full economy are growing roughly eight times faster than the overall job market: 69% growth versus 9% for jobs broadly. The wage premium for workers who bring AI skills to the table has reached 62%, up from 57% just a year earlier. In consumer markets, that premium exceeds 100%. PwC's Joe Atkinson, the firm's global chief AI officer, has described this as
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