Derek Cheng describes "pro-reactive" thinking: when small businesses spot a problem and assume a solution exists, they build narrow AI tools for that task. He compares this to the early internet boom of blogs, predicting AI tools will multiply the same way to fill specialized needs.
Chapters
The first is to be what I call pro-reactive. So it's like a combination of being proactive and reactive, meaning that there's a moment where you can sense a problem, or you wonder if something can get done better. If you go in expecting that a solution could exist, That there, there has to be a thingy for this. You're probably right, because in most cases, if they're big enough problems, somebody's trying to solve them. This is just the nature of the beast. It's sort of like when the internet was created and everybody suddenly had a blog, and then there were blogs everywhere about everything. This is not all that different from from that phenomenon, which is, uh, if, if there you can create an AI just to do a very specific task now.