Businesses increasingly turning to human oversight of AI systems face fundamental challenges in maintaining meaningful control. Companies like Amazon implement senior engineer sign-offs for AI-assisted code changes, yet this approach fails to address how AI's superhuman speed compresses decision timeframes from hours to seconds, creating scenarios where humans cannot realistically intervene.

The human-AI relationship suffers from three critical flaws: automation bias leads people to trust machines even when warned not to; "cognitive surrender" causes individuals to relinquish judgment to AI; and accountability becomes blurred when systems malfunction. Volvo found nearly 30% of users allowed semi-autonomous vehicles to crash into road obstacles, while research shows cognitive fatigue undermines productivity gains from AI tools.

The illusion of human control may ultimately prove more dangerous than its absence. As aviation has demonstrated, effective human-AI collaboration requires understanding system limitations rather than simply placing humans at the decision endpoint. Companies that recognize this distinction will develop more resilient AI implementations than those clinging to the comforting myth of human supremacy over machine capabilities.