corporate dysfunction

AI Mania Is Eviscerating Global Decision-Making

2 months ago

The author observes widespread AI psychosis in companies, where rational discussions about AI's effectiveness are impossible.
Most AI projects are failing, with 0% success observed in over a year, despite claims of massive productivity gains.
Companies are often bad at software projects, and AI adds extra risk; internal and customer-facing chatbots frequently fail due to poor data or lack of use.
It has become dangerous to question AI initiatives; employees must profess belief in AI to advance or keep jobs, leading to cult-like environments.
Some employees fake AI usage ('AI-washing') or game metrics like token leaderboards to meet demands, while doubters risk being fired.
AI demos can trigger irrational buying frenzies, even when the technology is not production-ready, leading to unethical sales dynamics.
Executives face a coordination problem: admitting AI gains are overstated risks contracts and jobs, creating a cycle of dishonest endorsements.
Organizations are paralyzed, unable to focus on important tasks unless they align with AI, leading to wasted resources and dysfunctional decision-making.
Survival tips include avoiding group discussions on AI, using anonymous polls, involving ground-level staff, and not challenging broad AI claims.
For personal sanity, limit exposure to AI hype, consider contracting jobs, and seek employment at smaller companies less affected by AI mania.