Daybreak If AI is really changing everything… where’s the evidence?
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Oct 20, 2025 Is the AI revolution losing momentum? This discussion explores the surprising stagnation in software growth despite the hype around AI. Insights reveal a flat landscape in app development and questions over the underwhelming launch of GPT-5. Furthermore, experts raise alarms about the economic risks of an AI bubble and the social impact of technological advancements on worker stability. The conversation urges a deeper societal reflection on AI's future and its potential to exacerbate inequality.
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Hype Vs Evidence In AI Adoption
- Hype about AI often extrapolates from individual use to universal adoption without evidence.
- Mike Judge checked release graphs and found software creation rates largely flat despite AI-assisted coding claims.
GPT-5 Dampened Expectations
- The GPT-5 launch failed to deliver noticeable improvement and dented expectations.
- That fed a broader sense that AI progress may be plateauing rather than accelerating.
Technical Limits Stall Real-World Use
- Many generative AI pilots fail and models still hallucinate, undermining practical deployment.
- These technical limits make it easy to spot AI-written content and slow meaningful adoption.
