
How I Escaped AI Autopilot
The more reliable AI gets, the less we check its work. Research explains why, and what to do about it.
Apr 20, 2026 · 9 min readUpdated Jul 7, 2026
To read more of Katie Parrott’s writing about how AI is changing work, read the latest articles in her column, Working Overtime. To read more essays like this, subscribe to Every.
Of all the ways I imagined AI might change my career, “forgetting I already did the assignment” was not on the list.
I had already sent my client a finished draft of an article on hiring best practices in South America, when I happened to reread the brief. A familiar phrase made me realize I had read it before. Then there was the statistic I was pretty sure I had already fact-checked. I clicked back through my files, and there it was: same client, same topic, same deliverable, dated four weeks earlier. It was completed, filed, and forgotten so completely that when a clerical error sent the same brief to my inbox again, I sat down and did the whole thing over.
My first thought was that this was probably early-onset something, and I should call my doctor. My second, more rational thought was that I had not lost my mind—but I had outsourced it. I had been moving so fast and delegating so much of the work to AI that my brain hadn’t even bothered to store a memory of completing the assignment.
What scared me most was thinking about all the smaller moments when I had not caught myself.
This kind of outsourcing isn’t new. Plenty of people would admit to feeling lost navigating an unfamiliar city without a phone to rely on, and I for one am lucky to remember my own phone number, let alone someone else’s. But AI does more than take work off your plate; it steps into the judgment calls you used to make yourself.
I am the last person to scold anyone for using AI. I have built AI into nearly every part of my job, and it has helped me write more rigorously, research more thoroughly, and take on projects far beyond what I used to think of as my wheelhouse. But when you accidentally offload the wrong parts—like fully understanding the purpose and intent of the piece, as I did in this case—you run the risk of atrophying the skills that matter most to you. You might even put your name on work you don’t realize you don’t stand behind until someone else starts asking questions. And if you are using AI for any kind of qualitative work, such as writing strategy, marketing, communications, I would bet you are doing some version of this too. Understanding why it happens is the first step to deciding which parts of the job you want back.
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When trusting your tools becomes a bad thing
One group that would understand this immediately:...
Become a paid subscriber to Every to unlock this piece and learn about:
- The decades-old research on pilots that explains you trust AI even when you shouldn’t
- The three practices Katie is using to stay inside her work instead of floating above it
- Why reading every word of an AI draft still isn’t the same as reviewing it
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You’re not losing leads. You’re just too late
You’re getting leads. That’s not the problem. They’re coming in from your ads, your content, your funnels. But your response time? Slow. Inconsistent. Sometimes nonexistent. And by the time you follow up… they’ve already moved on. It’s not a lead problem. It’s a timing problem. HighLevel fixes that 👇
One platform where your leads, messages, automations, and pipeline all work together in real time. So nothing sits. Nothing waits. Nothing gets missed. Here’s what changes:
- ⚡Respond to new leads instantly
- 🔁 Automate follow-ups the second someone opts in
- 📲 Keep every conversation in one place
- 📊 See exactly where deals are slowing down
- 🧠 Build systems that run without you chasing them
No more lag. No more missed chances. No more playing catch up. Just faster responses and better outcomes. Most businesses don’t realize how much speed matters until it’s too late.
👉 Start your 30-day free trial before your next lead goes cold 🚀















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