This gets at the biggest gap I see in AI discussions - the accountability

It doesn't disappear when you make 1 person do the work of 3. It simply is aggregated

Suppose you had a pod of a PM, designer, and analyst. Leadership lays off the designer and analyst and now the PM can move faster with AI. Hooray!

Well...when the complaints about how it looks on xyz device roll in, who is implementing that? Or you launch the product with much fan fare, adoption is terrible - you double check the numbers and oops, the sizing you had from Claude was actually 10x off.

Who is holding the bag? You are! Not Claude

I'm convinced this is one reason we are seeing slower than expected adoption of AI broadly in tech companies, because it's hard to trust - we know Claude can make mistakes but how do you know what's right vs not? Most people don't want to sense check so they just keep doing the work the way they know best.

I think this could be one thing that pops the AI bubble - execs try to force this, people go along, and results are not any better for this reason. Sure you save some salaries and ship more quickly, but you don't build the right thing and you are fixing more things after launch. Which one is actually better?