Amazon is pushing AI into every workflow, even when it demonstrably slows things down. This is what happens when executive mandates meet reality - the technology becomes the goal rather than the tool.
I've seen this movie before. In my startup days, we went through a phase where every feature had to be 'mobile-first,' even when desktop made more sense for the use case. The mandate wasn't about user needs - it was about investor narratives. Amazon's AI-everything push has similar vibes.
The problem isn't that AI can't improve workflows. In many cases, it genuinely can. The problem is forcing it into processes where it adds friction instead of removing it. When you mandate AI adoption regardless of whether it actually helps, you end up with theater: tools deployed to check boxes rather than solve problems.
Workers are reporting that AI-assisted workflows sometimes take longer than the manual processes they replaced. That's not because AI is inherently slow - it's because the wrong tool for the wrong job is always slow. But when the directive comes from the top, feedback from the people actually doing the work gets dismissed as resistance to change.
This reveals something important about corporate AI adoption: it's often driven more by fear of being left behind than by clear use cases. Executives read about AI transformation, see competitors announcing AI initiatives, and mandate deployment regardless of fit. The result is expensive implementation of solutions looking for problems.
Sometimes the best technology decision is knowing when not to use the shiny new thing. A good process doesn't need AI just because AI exists. If manual review is faster and more accurate than AI-assisted review, the smart move is to stick with manual review - even if it doesn't make for exciting earnings calls.
Amazon's forcing AI into workflows that don't need it reveals more about corporate culture than technical capability. When status quo processes work well, 'disrupting' them with AI isn't innovation - it's just expensive busywork.
The technology is impressive. The question is whether leadership understands that impressive technology deployed in the wrong context just makes work harder. Based on what Amazon workers are experiencing, the answer seems to be no.
