Summary

Camille Fournier argues that companies need guidelines for respectful AI use that go beyond security and compliance to address how AI-generated work affects team dynamics. She identifies a core problem: AI makes individuals more productive at producing output, but this can shift quality control burdens onto teammates. The post outlines three key principles: don't ask others to review what you haven't reviewed yourself, keep AI-assisted output shorter rather than longer, and don't use AI as an excuse to disengage your brain or empathy. She notes that AI-generated code reviews, documents, and messages often create a 'validation tax' on colleagues who must compensate for the sender's lack of effort. Fournier recommends tying these guidelines to existing company values for stronger resonance, and encourages leaders to proactively set these norms rather than waiting for tensions to boil over.

Key Insight

AI productivity is not just an individual concern but a team dynamics issue — producing more output faster is disrespectful if it shifts the cognitive burden of quality control onto your colleagues.

Spicy Quotes (click to share)

• 7

  Too often people try to steal productivity from their colleagues by streamlining their production of work while asking their colleagues to do all of the quality control themselves.

• 7

  Many people have reached the point where they won't read something a person didn't bother to write themselves, and who can blame them when so many don't even bother to read their output before sending it on?

• 6

  If this broke at 3am and none of the AI tools were working, would you be able to look at the PR context and the change and debug it? If not, it is probably too much.

• 5

  If you have empathy for your colleagues and respect for their time and skills, you will show them the courtesy of giving them work that you are proud of, that you stand behind, that you have thought through and can explain.

• 4

  If you find yourself not thinking at all and just mindlessly prompting, accepting output, and moving forward, it's a warning sign that something is wrong.

• 6

  Increasingly long text exchanges have always been a sign that people need to stop and talk face-to-face, and AI logorrhea hasn't changed that.

• 3

  The AI may have produced a lot of the output, but you thought about all of the pieces that needed to be done, and used the extra productivity to make something better.

Tone

opinionated, practical, empathetic