You’ve probably noticed it. The Slack message that’s four paragraphs longer than it needs to be. The meeting summary that reads like a novel. The email that answers a question you didn’t ask, synthesized from a dozen sources you never requested. You’re drowning in the output of someone else’s AI.
We’ve been sold a story: AI makes you faster, smarter, and more efficient. It’s a personal productivity revolution. But here’s the truth nobody tells you: One person’s AI-fueled productivity is everyone else’s busywork.
This is what I call AI productivity pollution — the hidden tax you pay every time a colleague uses a tool to generate more content, more data, more decisions, and then dumps it all on your desk. The very technology that promises to save time actually creates a systemic overload. Your inbox doesn’t shrink; it metastasizes.
Think about the last time you saw a “perfect” AI-generated report. It was comprehensive, well-structured, and utterly soulless. It took you twice as long to read because you had to filter out the filler. The person who sent it felt efficient. You felt exhausted. That’s the pollution.
We’re all paying the tax. Every time an AI writes a first draft, someone else has to edit it. Every time an AI summarizes a meeting, someone else has to verify the summary. Every time an AI generates a list of “insights,” someone else has to decide which ones matter. The productivity is private; the cost is collective.
The real bottleneck isn’t computation — it’s human attention. And AI is flooding the attention economy faster than we can build filters. We’re not getting better at our jobs. We’re getting better at producing noise that other people have to clean up.
I’ve seen this firsthand. A friend of mine works at a tech company where the product team use AI to generate a 50-page requirements document every sprint. The engineering team spends half their time just figuring out what’s actually important. The output is up; the throughput is down. The AI made the writer productive, but it made the reader — everyone else — less productive.
This isn’t a bug. It’s a feature of how we’re deploying AI. We optimize for individual output, ignoring the systemic cost. We treat “more” as “better” when the real goal should be “more relevant.” We’ve created a world where the fastest typist isn’t the person who can think clearly — it’s the person who can generate the most verbiage.
So what do we do? Stop using AI? No. The fix isn’t Luddism. It’s coordination. We need to shift from measuring individual productivity to measuring team throughput. Ask yourself: does this AI-generated output make my colleagues’ jobs easier or harder? If the answer is harder, you’re not being productive — you’re being polluting.
Your AI-assisted output isn’t a gift. It’s a tax on everyone else’s time. The next time you hit “send” on an AI-generated message, pause. Ask: would I write this myself? If the answer is no, don’t send it. You’re not saving time. You’re stealing it.
FAQ
Q: Isn't AI productivity a net positive? If I save time, I can spend it on higher-value work.
A: For you, yes. But your saved time turns into everyone else's lost time. The individual gain is dwarfed by the collective cost of filtering, verifying, and ignoring the extra noise. Net positive? Only if you measure the wrong thing.
Q: What's the practical takeaway for my team right now?
A: Stop using AI to generate output by default. Use it to condense, filter, or clarify. Before sending anything AI-generated, ask: 'Does this make my colleagues' job easier or harder?' If it's noise, delete it. Measure team throughput, not individual output.
Q: Isn't this just a coordination problem that better AI will solve?
A: That's the common cop-out. Better AI might produce better summaries, but it won't solve the fundamental truth: every generated artifact competes for finite human attention. The only real solution is to generate less, not more. Coordination is a human skill, not a technical patch.