Key Takeaways

Rushing to implement AI without considering scalability and proper infrastructure can lead to technical debt that hinders growth.

Startups should spend 70% of resources on new features and customer needs, 20% on maintenance (bug fixes, support, etc.) and 10% on the next major transformation.

AI should solve real problems, not just exist for its own sake. Startups should build data collection and governance into their architecture from the beginning.

Every entrepreneur I speak with has the same gleam in their eye when they talk about AI . Many are conceived as AI-first, and they can’t wait to change the world. For others, they’ve seen the demos, read the case studies, and they’re ready to transform their business overnight. But in my conversations with founders, I keep e

See Full Page