AI tools may help employees finish tasks faster, but they can also complicate performance reviews. A Nielsen survey commissioned by monday.com, reported by TechCrunch on October 21, 2026, questioned 1,700 directors and senior managers in seven countries. More than half said evaluating employees had become harder after AI adoption. These are reported perceptions, not proof that AI reduced productivity.
Why managers face new work
Polished AI-assisted writing can hide whether an employee checked the facts, exercised sound judgment or simply accepted a generated answer. Teams also need to decide who is responsible when an AI-assisted recommendation is wrong.
What employers can do
Set clear rules for disclosing AI assistance, reviewing sources and protecting confidential information. Evaluate the quality of reasoning and verification, not only the finished document. Keep a human reviewer accountable for consequential decisions.
How to evaluate AI-assisted work
Use consistent rules for disclosing AI assistance, verifying sources and reviewing employee judgment. The NIST AI Risk Management Framework offers an approach to identifying and managing risks.
Sources
TechCrunch reporting on the Nielsen/monday.com manager survey, October 21, 2026. NIST AI Risk Management Framework.
