Doom loop · 2:36
Are you in an AI doom loop?
A short lesson on recognizing when AI content feels same and choosing curiosity over overwhelm.
- The AI doom loop is when AI-generated content sounds just like everyone else's output and gets passed around.
- Many people feel overwhelmed by AI content and tools, even after some training.
- The better response is to lean in with curiosity instead of burying your head in the sand.
| Sign | What it looks like | Better response |
|---|---|---|
| Generic output | AI text matches everyone else's voice | Add your own judgment and context |
| Overwhelm | Too much AI content and too many tools | Start with one small curious experiment |
| Avoidance | Ignoring AI or fearing job loss | Treat AI as a tool to learn |
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What is the AI doom loop?
A cycle where people generate and share similar AI content until everything feels generic.
What two responses to AI does Lisa describe?
Burying your head in the sand or leaning in with curiosity.
00:00 So, I came across this post on LinkedIn the other day, and this really struck a chord with me, and I'm sure it will with you, too. The phrase doom loop leaps out here. Are you in a doom loop where you are creating content with AI that just feels the same as every other piece of content you do? Are you on the receiving end of stuff that just feels the same?
00:25 Are you in fact in your organization and amongst your colleagues just generating [laughter] AI stuff and passing it around to each other? I'm sure you can recognize some part of some of this because we are all in a version of this situation. I'm here to talk through my thoughts on this and give you some tips on how to not do this because honestly, this is terrible. Uh this is actually
00:49 quite depressing and there are ways to do better than this and I'm going to show you what they are. A lot of people are talking about worrying about AI taking their jobs. What I see on this is that there are two paths to guarantee that that's going to happen as a knowledge worker and one path that gives you the best possible outcome whatever the future may hold. first worst path,
01:11 burying your head in the sand, pretending it's not happening, or perhaps just feeling like you're so far behind that you can't keep up. The second one is using AI. I think a lot of people are in this category, and it's not necessarily your fault, and I'm not making any judgment here. We've all been handed these tools on top of our day jobs. We've all got a whole lot other
01:34 things going on. And in many organizations, you might get a training session. You might be pointed to an e-learning platform or something, but you're busy getting on with your day job. You know, you're supposed to be using AI and you're churning out stuff. Maybe you've discovered that it's great that you can churn out a whole bunch of outputs much faster than you can before, but how's the quality of them? Does it all feel kind of the same? Have you got
01:59 time to go over it? Is there increasing pressure on you to just generate stuff? Or are you seeing that coming through from your colleagues? And then now you're feeling the overwhelm of other people around you sending that stuff to you and you don't quite know what to do about that. The one thing that's going to keep us in the best possible place here is curiosity. And so this video is
02:22 for you. Curious mindset, always learning mindset. I'm going to talk about some of the mistakes that I've made along the way. This video is very much around things that I've learned and observed about what works with working with Copilot in particular. What we're looking at here is ways of making sense of AI at work and making it work for you. So the first thing here is the thinking model and this certainly has
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