2 months ago
- Many organizations are experiencing a collective psychosis around AI, where rational discussions about its effectiveness are impossible.
- AI investments are largely failing, with projects showing 0% success rates in the author's observations, often due to poor implementation or unrealistic expectations.
- Internal and customer-facing chatbots are common but rarely deliver value, with issues like low usage, inaccurate outputs, and lack of proper metrics tracking.
- Expressing skepticism about AI in organizations is dangerous, leading to job loss or marginalization, forcing employees to feign enthusiasm or 'AI-wash' their work.
- AI demos can trigger irrational buying frenzies, even when the technology is not production-ready, exploiting a gap in decision-making.
- Executives often make exaggerated claims about AI productivity due to peer pressure, fear of contract cancellations, and board demands, creating a coordination problem.
- Organizations are prioritizing AI alignment over sensible projects, leading to ineffective spending, gameable metrics, and hindered focus on core business needs.
- Survival strategies include avoiding group discussions on AI, using anonymous polls, involving ground-level staff, and not challenging broad AI claims to maintain influence.
- For personal sanity, limit exposure to AI hype, consider contracting roles, use AI-generated responses when necessary, and seek jobs at smaller, less affected companies.
- The AI mania is seen as a temporary bubble, with long-term dysfunction in leadership likely to persist until organizations collapse or the hype subsides.