PwC's 2026 Global AI Jobs Barometer, drawing on an analysis of hundreds of millions of job ads and company filings across dozens of countries, puts a clear number on something most job seekers already sense: knowing how to use AI tools well is now worth real money, and the gap is growing rather than leveling off.

The headline number

Workers with AI skills now command an average wage premium of 62% globally, up from 57% the previous year, according to PwC's analysis. That's not a one-off bump — PwC frames it as part of a multi-year trend in which AI skills have consistently translated into higher pay, even as the broader conversation about AI's effect on jobs has grown more anxious.

The premium varies enormously by sector

The 62% figure is a global average, and the spread underneath it is wide. PwC's sector-level data shows the AI wage premium reaching as high as 118% in consumer markets, while in government and public-sector work it sits at just 16%. Financial services lands well above the global average, with AI-enabled employees in that sector earning a 67% premium over non-AI roles — a meaningful uplift, even if it isn't the single highest sector on the list.

Hiring isn't growing everywhere at the same pace

The report also tracks job-posting volume by sector, and financial services offers a useful cautionary note: the sector's share of total global job postings has fallen from around 8.4% in 2012 to roughly 5.0% in 2025. PwC attributes this to comparatively softer overall hiring in the sector rather than a shrinking AI opportunity specifically — in other words, fewer total openings, but a sharper pay gap between the ones that do require AI skills and the ones that don't.

What "AI skills" means in practice

PwC's methodology doesn't require a job title with "AI" in it to count as AI-skilled. The analysis looks at the actual skills listed in job postings and compares pay for roles that explicitly require AI-related capabilities — prompting, tool evaluation, data literacy, applied machine learning, AI-assisted workflow design — against otherwise similar roles that don't. That's an important distinction: the premium isn't reserved for machine learning engineers. It increasingly shows up in finance, marketing, operations, and other roles where AI fluency is layered onto an existing specialty.

What this means for your next move

• The premium is a reason to add AI fluency to your current specialty, not necessarily to pivot into a pure AI role — the data rewards domain expertise plus AI skill, not AI skill alone.
• If you're in financial services, the 67% premium combined with slower overall hiring growth suggests competition for AI-capable roles in the sector is likely to intensify rather than ease.
• A widening year-over-year premium (57% to 62%) suggests this isn't a temporary spike tied to AI hype — it's worth treating AI fluency as a durable, ongoing skill investment rather than a short-term credential to rush through.

The practical lesson from this year's Barometer is less about chasing an "AI job" and more about making sure whatever role you're in or targeting next can credibly claim AI skill on top of it.

Source: PwC, 2026 Global AI Jobs Barometer