this post was submitted on 26 Mar 2026
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I see a lot of discussion here about over-hyped AI, and then I see the huge AI bubble at my workplace, in news, in PR statements, etc.

Are there folks who work at companies -- especially interested in those in tech -- that have a reasonable handle on AI's practical uses and its limitations?

Where I work, there's:

  • a dashboard of AI usage by team and individual, which will definitely not affect performance review in any way
  • a mandate to use one AI tool last month, and this month a new one to abandon that tool and adopt a different one
  • quarterly goals where almost every one has some amount of "with AI" in it
  • letters from the CEO asking which teams are using AI to implement features from ticket descriptions, or (inspired by the news) use flocks of agents, asking for positives without mention of asking for negatives
  • a team creating a review pipeline for AI-generated output in our product, planning to review the quality of the output... using AI
  • teammates are writing code and designs and sending them for review without ensuring functionality or pruning irrelevant portions, despite a statement that everyone is responsible for reviewing AI output

Is all the resistance to overuse of AI grassroots and is the pressure for rampant adoption uniform among executives/investors? Or are some companies or verticals not drinking the koolaid?

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[–] scytale@piefed.zip 3 points 18 hours ago

For my pov at my work, there's definitely that disconnect between what the executives are saying and the ones lower down the chain who are actually tasked to implement and support those new technologies.

There's a company-wide mandate to use AI, so naturally everyone is trying to inject it into their projects. But the idea of putting AI into something is different from actually implementing it, and the latter is far more complicated with all the governance and security involved. And all these teams are escalating everything because of how long stuff takes to get reviewed and approved or how complicated it is for them (the non-tech people) to actually deploy it themselves. People think they can just deploy a local MCP server on their laptop, or deploy a cloud compute on their own and run it from there. Deploying something in production infrastructure is not as simple as creating a new compute and installing whatever you want.