AI Raises The Bar
AI is not reducing the need for engineers. It is raising the bar for what engineering actually requires.
A recent Fast Company article made that case, and it matched what I have been seeing firsthand while building AI products.
Over the past few years, I have spent more than 10,000 hours developing an AI-first platform. As AI started generating more code, the hard part did not disappear. It moved.
It moved toward judgment, architecture, system design, product clarity, and the ability to make many moving parts work together under real conditions.
That has been my experience while building large semantic pipelines, integrating more than 30 AI and data API services, and running high-volume AI processing systems that reached more than a billion tokens per day. The work looked less like traditional coding and more like coordinating a living system.
What some people call orchestration, I would break into three kinds of thinking: creative thinking to define the right product, strategic thinking to connect user value, technical constraints, and long-term direction, and critical thinking to test what actually works.
AI makes execution faster. That does not lower the need for strong builders. It increases the need for people who can think clearly across product, architecture, and delivery.
https://www.fastcompany.com/91544366/why-ai-will-create-more-engineers-not-fewer
The advantage now is not just generating faster. It is thinking better while the speed keeps rising.