Coding Is Over. Get over It
A software engineer at JPMorgan Chase discusses the integration of AI into professional workflows and the difficulty of measuring its true ROI. The author argues that while AI is a powerful enabler, claims of massive efficiency gains are often unsubstantiated.
Why it matters
Reflects the growing skepticism and practical challenges faced by large enterprises attempting to quantify the value of AI adoption.
Longs Original Dev Table of Contents Return on Investment and Small Models The paradigm shift is hard to overstate What hasn't changed I'm a software engineer at JPMorgan Chase. I have more than 15 years of experience in building software and I used to love it. These are my own observations, not the firm's position. JPMC is a very large company, and what I observe from my vantage point not be true at all. AI is pervasive company wide, and the how people work with AI varies a lot (we're all learning to use it ). There are some guardrails in place that are very sane for a large bank, but I'm fortunate to be in a place that lets me experiment a lot.
Get smarter about the news
Sign up free for a feed built around what you actually care about, Dive Deeper research on any story, and the full text of every article.
Create free accountAlready have an account? Sign in