AI Flow - theory of constraints

AI is arguably one of the biggest paradigm shifts in the digital product development industry ever. Even if it stopped right now with Fable 5, we still would have changed so much that the before feel like a distant past. Writing the code by hand? Please... A discussion with a friend, that works in manufacturing industry, made me reflect over this paradigm shift. It reminds me a lot about the advent of industrial robots in the manufacturing industry. This was 1970-80 circa and these robots was also perceived as something that would make “ALL WORKERS REDUNDANT” and visions of fully automated factories was envisioned. Early on the outcome was hard to forecast too; the industry robots did a lot of the manual work that humans used to do and did it much more reliable and better than humans. Also - the human interaction was now higher up in the value chain; instructing and verifying for the most part. Hold on to that analogy, because it’s going to be very useful - right up until the moment it breaks. And it breaks in exactly the place that matters most. More on that further down. I thought about this some more and then realized that we, in the product development industry, are right now making a lot of the initial mistakes and dream about futures that the tool might now deliver on. I wanted to write a bit about that, theory of constraints and The Goal