Patrick Biddiscombe compares AI to an enthusiastic intern: capable but mistake-prone without proper training. Most organizations treat AI as a finished tool instead of coaching it like a junior employee, missing better outputs and ROI by skipping context, examples, and targeted guidance.
Chapters
AI, for the most part, is still like an enthusiastic intern. Now, it's got better over time because it wants to do anything you ask it to do. You ask it to do something and it tries to do that thing, and it confidently tries to do that thing, even if it's wrong. A lot of the time, what a lot of people and companies are doing is not treating AI that way. Right? So what would you do with a junior employee? You would onboard the employee. You would provide the employee with context about the role you would get, give the employee context on what good looks like, like the task you are asking it to do. Here's what good looks like, right? So you wouldn't just go do work, you would actually teach the junior employee how to do that thing and what good looks like. And I think what I see a lot of companies do and a lot of people do with AI is just like, hey, go do the work, right? And then they're really miserable with the returns because the output isn't that good. And they're like, ah, this thing doesn't work. I'll just move on.