Wages for AI-related roles have climbed 27% since 2019. But the real headline is this: workers with demonstrable AI skills now command wage premiums of up to 56% compared to peers in similar roles without those capabilities.

That's according to new data from the IMF and World Economic Forum, which together paint a picture of a labor market splitting into two tiers — those who can work alongside AI systems, and those who can't.

The IMF estimates that nearly 40% of global jobs are now exposed to AI-driven change. That doesn't mean 40% of jobs will disappear. The WEF's latest Future of Jobs Report projects that while 92 million roles may be eliminated by 2030, 170 million new ones will emerge — a net gain of 78 million positions.

But "net gain" masks a critical detail: the new roles require fundamentally different skills than the ones being displaced. IT and digital capabilities account for more than half of all new skill demand, with AI literacy, data analytics, automation design, and cybersecurity leading the list.

Here's where it gets uncomfortable. The WEF reports that 85% of employers plan to prioritize upskilling by 2030, and 59% of the global workforce needs training. Yet an estimated 120 million workers are at medium-term risk because they're unlikely to receive the reskilling they need.

The gap isn't just about access to training programs. It's about speed. Skills are depreciating faster than traditional L&D models can accommodate. By the time a 12-month certification program produces its first graduates, the tools they trained on may already be obsolete.

The data also reveals something counterintuitive: as AI capabilities expand, demand for distinctly human skills — creativity, empathy, communication, resilience, and leadership — is rising in parallel. Employers aren't just looking for people who can prompt an LLM. They want people who can interpret AI outputs, make judgment calls, and lead teams through constant change.

Read the original story: IMF Blog

If you're running a talent strategy in 2026, the 56% wage premium isn't just a data point — it's a signal of where the market is heading. Organizations that invest in AI literacy now will attract and retain top talent. Those that wait will pay more for the same skills later, or won't find them at all. The question isn't whether to upskill your workforce. It's whether you can do it fast enough.