Engineering scale has transformed dramatically: designing a 1,000-transistor chip was once considered huge, while a 1-trillion-transistor chip is now normal — AI removes the manual overhead so engineers can focus entirely on the core problem.
— the ability to orchestrate millions of autonomous AI agents to solve complex, multi-disciplinary problems, combined with interdisciplinary knowledge spanning technology, social issues, and market gaps.
Basic software coding and routine programming will be automated away, much like long division was replaced by calculators and computers — this is a natural technological progression, not a crisis
Hard sciences — physics, chemistry, biology, computer engineering, and fundamental computer science — remain crucial and are not being replaced by AI; instead, AI becomes a tool that lets humanity be more ambitious and impatient about solving massive problems.
Faiza N. Rafa