The Imitation Of Expertise: When AI Makes Everyone Look Like An Expert

Résumé détaillé

1. Make room for an initial human perspective. Before using AI for a significant decision, employees can briefly record how they understand the problem and what remains uncertain.…

Hani Assi, Director at Advanced Technology Company, Driving the Future of AI-Powered Healthcare.

An employee can now produce a convincing business proposal on a subject they barely understand. For a leader reviewing it between meetings, the difference between an informed recommendation and a polished answer may be difficult to see.

AI gives people access to knowledge and support that would once have required considerable time or specialist help. I welcome that opportunity. Working in healthcare technology while studying artificial intelligence has strengthened my interest in what these tools can make possible.

But it has also made me think more carefully about how we recognize expertise. A document can look complete while the person presenting it has only a limited understanding of the decisions it recommends.

Expertise develops through applying knowledge, facing consequences and adjusting when an approach fails. AI can produce the language associated with that experience without requiring the user to go through the same process.

This creates a management problem. If we assess people mainly through polished presentations and confident explanations, we may reward the appearance of competence before checking the reasoning behind it.

There is also a learning risk. In a 2026 Anthropic study, 52 software engineers worked with an unfamiliar programming library. Those using AI performed worse, on average, in an immediate comprehension test. The study was small and specific to coding; it does not establish lasting effects across professions. However, it does give leaders a reason to examine what employees understand alongside what they produce.

The concern becomes greater when similar recommendations circulate across a team. Agreement can look reassuring, even when nobody has independently tested the assumptions.

In my day-to-day work, I have started noticing an uncomfortable similarity in the answers people bring to business discussions.

Début de l'article, extrait de Forbes. Pour lire la suite, ouvrez l'article chez le média.