Research and insights on AI readiness
Article 4 of the EU AI Act entered into force on August 2, 2025. It requires every organisation deploying AI systems to ensure a sufficient level of AI literacy across their workforce. Most HR teams don't yet have a measurement approach that satisfies it.
Most organisations measuring AI adoption are tracking the wrong things. An Organisational AI Readiness Score measures what your workforce can actually do with AI, across every department, expressed as a single benchmarked number.
79% of tech workers admit to overstating their AI knowledge. 56% of self-proclaimed AI experts have received no formal training. The gap between AI confidence and AI capability is not a perception problem — it is a measurement problem.
Peer-reviewed research from IEEE, ACM, and USENIX finds that AI-generated code carries significantly elevated security risk. The bigger problem is that developers trust it anyway.
88% of HR leaders say their organisations have not realised significant business value from AI tools. The problem isn't the tools. It's that nobody is measuring whether people can actually use them.
Research from Aalto University shows AI users overestimate their own performance by approximately 4 points on a 20-point scale — and the problem is worse for people who know more about AI. Here is what that means for every organisation measuring AI readiness with a survey.