AI Literacy's Misunderstood—And Europe's Pointing At The Wrong Problem

InnovationAI Literacy's Misunderstood—And Europe's Pointing At The Wrong ProblemByStéphane Donzé,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)May 14, 2026, 09:15am EDTStéphane Donzé is the Founder and CEO of AODocs, with more than 20 years of experience in the enterprise content management industry. gettyEurope is moving to formalize AI literacy under the EU AI Act. Whether that's the right approach is debatable, and more regulation won't fix how most organizations actually use AI day to day. However, the move does surface a real issue that most people are getting wrong.When companies talk about AI literacy, they focus on the model. They train employees to write better prompts, roll out acceptable-use policies and run workshops on hallucinations and bias. All of that is useful, but none of it addresses where things actually break in practice.Most people don't misunderstand AI in theory. They misunderstand it in practice, specifically the difference between finding a document that seems to answer a question and knowing which version of that document is actually correct. AI handles the first well. The second requires something it doesn't have on its own.Europe is raising the question but not solving it.This gap is about to become harder to ignore. Under Article 4 of the EU AI Act, organizations must ensure a sufficient level of AI literacy among employees and anyone using AI systems on their behalf. The European Commission has been clear that this isn't a theoretical requirement and that literacy is expected to reflect the context in which systems are used and the risks they create in practice.That's directionally right, but most organizations are reading it the wrong way—treating it as a call for more training sessions, guidelines and documentation about how models behave. The re...