Companies often underestimate the hidden costs of retraining, rehiring, and reintegrating humans when autonomous systems fail, as they inevitably will.
Agentic AI, while efficient, is prone to drift, bias, and errors, leading to potential human impact, regulatory issues, and damage to brand reputation.
Challenges in rehiring humans include loss of skills, pipeline complexity, high retraining costs, cultural alienation, and compliance requirements.
The recommendation is for companies to maintain human oversight, design reentry protocols, invest in training for both AI and humans, and avoid going fully agentic without a plan for human reintegration.