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AI Mania is Eviscerating Global Decision-Making
Institutional decision-making is currently paralyzed by mass AI-washing, where fear and politics force employees to fake project success to maintain their positions.
What: Consultant Nikhil Suresh documents that most corporate AI projects are failing or nonexistent, yet executives and staff feel pressured to project success to avoid being ostracized for heresy.
Why it matters: The industry is experiencing a coordination failure where the fear of appearing 'anti-AI' prevents rational evaluation of technology, potentially leading to widespread institutional decline.
Takeaway: If you are trapped in a dysfunctional AI-hyped workplace, prioritize securing a new position elsewhere while minimizing your engagement with the 'true believers'.
Deep dive
- Widespread failure of internal and customer-facing AI chatbots.
- Institutional fear of questioning AI strategy leads to 'AI-washing'.
- Technicians are forced to use AI even when it is not the correct tool.
- Metrics like token usage are being gamed to provide a veneer of progress.
- Executives fear reputational damage by admitting AI projects have failed.
- The current environment incentivizes lying rather than project delivery.
- Strategies for professionals include anonymous internal polling and private consensus building.
Decoder
- AI-washing: The practice of marketing products or projects as 'AI-powered' to gain prestige or funding without actual underlying technological innovation.
- True believers: People who ideologically embrace AI without regard for its practical utility or economic viability.
- Agentic workflow: Systems where software agents attempt to complete tasks autonomously rather than just providing static responses.
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