The Invisible 90%: Why AI Projects Fail After the Demo
- AI demos create false ease: Fast to build, but infra, security, integration, and ops remain the hidden IT iceberg.
- PoC ≠ production quality: Demo accuracy isn’t enough; real requirements matter, and the last 10% is the most expensive.
- PoC team ≠ product team: A weekend build needs, in production, cross-functional ML, data, security, legal, and SRE.
- AI is never “done”: Model drift demands ongoing monitoring and improvement — project thinking fails, product thinking wins.