Workera Team

What 88,000 assessments reveal about enterprise AI readiness

‍

‍

Every number in this report comes from a real assessment, taken by a real individual, at a real enterprise. Workera's platform assessed more than 32,000 individuals across some of the world's leading organizations. Not what they said about themselves, not what courses they completed. Verified capability, measured against a 300-point scale.

For leaders, the relevant question is simple: where does my workforce sit relative to these numbers? The enterprise benchmark is your industry peer group. The best-in-class benchmark is where the top quartile already is. The gap between the two is where competitive advantage is being built right now.

What the data shows

Enterprises are strongest where soft skills intersect with new technology, and weakest where technical depth is required. The Agentic AI gap is the starkest signal in the data: only 13% of employees are Accomplished before any upskilling begins. The organizations pulling ahead are the ones that started by measuring.

One finding worth sitting with

Targeted upskilling produced significant gains across every capability in this report. But the improvement rates vary widely, and that spread matters for how you sequence investment. Some capabilities respond fast. Others require a longer runway. Knowing which is which changes how you build your roadmap.

There's a lot more where that came from

Which capabilities have the widest gap between enterprise and best-in-class? Where does upskilling produce the fastest returns? Which skills are concentrating in a small number of people and creating organizational risk? The 2026 AI Skills Enterprise Benchmark Report covers all of it, with verified data from 88,753 assessments across professional services, financial services, pharma, and the U.S. federal government.

If you want to know where your workforce stands, this is where you start.

‍