AI Mania Distorting Corporate Decision-Making, Says Consultant

The article presents a narrow but revealing snapshot of dysfunction in how large organizations are approaching AI strategy. The core mechanism Suresh identifies is not ignorance alone, but misaligned incentives that systematically suppress honest technical communication. An executive with no hands-on AI experience can produce an AI-centric strategy because there is no enforced accountability for technical credibility; an engineer will undertake wasteful rewrites because career survival depends on appearing AI-productive. Most critically, the vendor-customer dynamic creates a perverse incentive structure: vendor executives know that customer executives have made public commitments to implausible productivity gains (100x improvements), so questioning those gains would create a reputational liability for the customer. The fear of contract loss outweighs the responsibility to offer honest technical counsel. This describes a classic information cascade where public commitment to an assumption becomes self-reinforcing, particularly when the people who could correct it face personal financial consequences for doing so.