Workers With AI Skills are Earning 62% More Than Their Peers – And the Gap Is Only Getting Wider
If you’ve been sitting on the fence about building your AI skills, this could be the push you needed.
PwC’s 2026 Global AI Jobs Barometer is one of the most comprehensive AI workforce studies. It covers over a billion job advertisements across 27 countries. Recently, the study found that workers with AI skills earn an average of 62% more than peers. In some sectors that premium climbs as high as 118%.
That’s not a small difference, but a career defining gap that is getting wider every year.
This Isn’t Just About Tech Jobs
One of the most common misconceptions about AI skills is that they’re only relevant if you work in technology. Research shows that AI reshapes roles across finance, healthcare, operations, marketing, HR, and many other fields. Those who adapt work with AI to make better decisions and move faster. The professionals pulling ahead aren’t necessarily the ones writing code or building models. They’re the ones who know how to work alongside AI tools effectively, using them to make better decisions, move faster, and produce higher quality work than their colleagues who haven’t caught up yet.
What’s Actually Driving the Wage Premium
It comes down to supply and demand.
AI related job postings are growing roughly eight times faster than the overall job market right now. Companies need people who can work with these tools and there simply aren’t enough of them. When demand outpaces supply that quickly, salaries go up. This is something that’s already happening.
But here’s what makes this particularly interesting. The PwC data also shows that the skills required in AI exposed roles are changing more than twice as fast as in roles with less AI exposure, which means the people who are learning now, building practical knowledge now, and applying it now are the ones who will stay ahead. The ones who wait are falling behind.
Entry Level Roles Are Feeling It Most
Perhaps the most striking finding from the research is what’s happening at the entry level.
AI exposed junior roles are now seven times more likely to require traditionally senior skills compared to roles with less AI exposure. The bar has moved dramatically and it moved fast.
For anyone early in their career, or looking to make a move, this is both a challenge and a real opportunity. The professionals who develop practical AI literacy now are being considered for responsibilities that would previously have taken years to reach.
So, What Does “AI Skills” Actually Mean?
This is where a lot of people get stuck. They hear AI skills and immediately picture data science degrees or programming languages they’ve never touched. But that’s not what most employers are actually asking for.
What the research consistently points to is practical AI literacy. This is the ability to understand what AI tools can and can’t do, knowing how to communicate with them effectively to get genuinely useful outputs, being able to evaluate AI generated work critically rather than just accepting it at face value and understanding the basics of how these tools think so you can use them more strategically.
These are learnable skills. They don’t require a technical background.
The Window Is Open, But Not Forever
Right now there’s still a meaningful gap between the people who have built real AI literacy and the people who haven’t. That gap is what’s driving the wage premium. But as more people catch up, that advantage will narrow.
The professionals who benefit most from this moment are the ones who move now, not in six months or when it feels more urgent.
If you’re not sure where to start, we put together a practical guide called Understanding & Using Generative AI that was written specifically for people without a technical background. It covers what AI actually is, how it works in plain language, how to use it effectively at work, and how to avoid the common mistakes most people make. It also comes with over 20 ready to use prompts and tool recommendations so you finish the book with something you can actually apply straight away.
It’s a good starting point if you want to close the gap rather than watch it grow.
