Really like this framing @JayaGup10. And thank you for the shoutout to @maximor_ai!
One nuance I’d add from what we’re seeing at @maximor_ai is that these two things can be true at the same time.
For a lot of enterprise work, @JayaGup10 is right that there is an intelligence
I love how the one specific analogy @thejessezhang makes here on what is still unsolved today is related to accounting:
“If you’re building an AI agent for accounting in 2026, there is no established workflow, because literally nobody has ever used one of these. Nobody knows
Fundamentals of programming are as important as ever. In fact, I’d argue they’re more important than ever because spotting the one mistake (the needle), in a 5000 line AI generated commit/PR (the haystack), is almost impossible if you don’t know what you’re looking for.
If you
If you’re not reading the code, whether explicitly or through agentic inquiry, one or more of these is true:
○ You’re a beginner
○ Software is throwaway
○ You’re prototyping
○ You have no users / revenue
○ You’re taking on debt & risk
○ Your problems are basic
And btw.
@maximor_ai is the fastest-growing company of all time in the Office of the CFO category - and that will become even more apparent over the next few months.
We have the lowest human-in-the-loop intervention. Our users have the most intelligent AI Agents doing the work for them.
Forbes reported @maximor_ai today: 35x revenue growth in 9 months, on seed alone.
I get asked weekly if finance is the next big AI category after coding and legal. Yes, just later than the other two, but it’s here now.
Finance was always going to be AI's last holdout, and
