AI Tools Make Coders More Important, Not Less

"Of all the possible applications of generative AI, the value proposition of using it to write code was perhaps the clearest. Coding can be slow and it requires expertise, both of which can be expensive. Moreover, the promise that anyone who could describe their idea in plain text could create apps, features, or other value-adding products meant that innovation would no longer be limited to those with the skills to execute, but could be done by anyone with an idea."

"The strength of this promise has created a $7.37 billion market for these tools. is the founder and CEO of Michael Li The Data Incubator, a data science training and placement firm, which was acquired by Pragmatic Institute, where he is president. A data scientist, he has worked at Google, Foursquare, and Andreessen Horowitz. He is a regular contributor to VentureBeat, The Next Web, and Harvard Business Review. He earned a master's degree from Cambridge and a PhD from Princeton."

Generative AI applied to writing code presents a clear value proposition because coding is often slow and requires costly expertise. The ability to describe an idea in plain text and have apps, features, or other value-adding products produced democratizes innovation and reduces dependence on specialized developers. That potential has driven a $7.37 billion market for code-generating tools. Michael Li is identified as the founder and CEO of The Data Incubator, a data science training and placement firm acquired by Pragmatic Institute, where he serves as president. He has worked at Google, Foursquare, and Andreessen Horowitz and holds degrees from Cambridge and Princeton.

Read at Harvard Business Review