The biggest opportunity in AI right now is not flashy new products or futuristic demos. It is something much more practical: replacing the legacy, clunky, patched-together tools we have been working around for years with things that actually work.
We are entering an era of in-sourcing. A turn away from large corporate enterprise tools towards the ability to replace these legacies with our own custom systems and tools. This is entirely within our grasp.
I resonate with this because I built a custom database and case management system with full data visualization in days. Without ever exposing any real data to the LLM. That would have been completely out of reach for me even six months ago. Now I have a powerful custom tool that does exactly what I need it to do and I can change it anytime. More importantly, I can show others how.
The implication is big: organizations do not have to wait anymore or pay millions. We can start rebuilding from within by teaching existing domain experts how to solve their own problems faster, closer to the problem, and actually fit for purpose.
For me it is all about empowering people to use AI skills to do the good work they are already doing, more easily.