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TL;DR: The doomers are wrong because AI isn’t going to destroy civilization, your job, or your career, and the world doesn’t owe you a path to opting out. The hypers are wrong because AI isn’t going to replace every human task, save your business on its own, or make your existing strategy work without the inconvenient work of actually adopting it what I actually tell clients about AI. Both framings are doing damage right now, and both serve the people producing them more than the people consuming them. The third position, which is the boring one nobody wants to platform, is the only one that holds up under contact with how this technology actually works.
There are two big camps in the AI conversation right now and both of them are wrong.
The doomers think AI is going to destroy everything and the only sane response is to refuse it. The hypers think AI is going to replace every human task and the only sane response is to lean in completely. Both camps get a lot of airtime, sell a lot of books, run a lot of podcasts, and produce a lot of content that gets shared by people who feel like they’ve now formed an opinion on AI.
Both camps are wrong, in different ways, and the wrongness is causing real harm to the people taking them seriously. Here’s why.
The doomers are wrong
The doomer position is that AI is a fundamental threat to humanity, work, art, truth, democracy, or all of the above, and the right response is to oppose its development, refuse to use it, and warn everyone you can reach about the catastrophe coming.
There are sophisticated versions of this position and there are shallow versions. The shallow version is the one that’s getting the most attention, and the shallow version is wrong for five reasons.
First, the technology already shipped. Whether you think AI is dangerous is irrelevant to whether AI exists. It exists. It’s deployed. It’s in production at every major company. The conversation about whether to allow it is over. The only conversation left is how to use it well. Doomers who haven’t accepted this are still arguing the last war.
Second, the catastrophe narratives keep failing. Doomers have been predicting imminent civilizational collapse from AI for several years, and the dates keep moving. Each new prediction is presented with the same urgency as the last one even though the last one didn’t come true. This isn’t proof the catastrophe won’t happen. It is proof that the people making the predictions don’t have a reliable basis for the timing of the predictions, which means the predictions aren’t actionable.
Third, refusing the tool doesn’t make the tool go away. Your refusal to use AI doesn’t change the fact that your competitor is using it. Your refusal doesn’t change the fact that the next generation of workers is being trained on it. Your refusal doesn’t slow the development of the technology by any measurable amount. It only changes whether you, personally, get the benefit of the productivity gain or watch other people get it.
Fourth, the doomer position is convenient for people who profit from inaction. Every week you spend reading articles about how AI is going to destroy your industry is a week you don’t spend learning the tools that would have made you more valuable. The doomer content is satisfying. It feels like analysis. It is not action. The producers of doomer content make money whether you act or not. You only benefit if you do, and the doomer framing actively discourages action.
Fifth, the actual risks are different than the ones doomers talk about most. The real risks of AI are not science-fiction misalignment scenarios in 2040. They are the immediate, boring, already-happening risks. Hallucinated facts in published documents. Edge case failures in customer service that destroy customer relationships. Drift in long deliverables that produces wrong recommendations. Workforce restructuring that displaces unaugmented workers. These are real risks, and the doomer framing distracts from them by aiming attention at speculative future scenarios.
The doomer position lets you feel like you’ve taken a serious stance on AI without doing any of the boring work of actually engaging with how it gets deployed. It’s a satisfying position. It is not a useful one.
The hypers are wrong
The hyper position is the inverse and equally wrong. AI is going to replace every human task. Your job is going away. Lean into the future. Buy the course. Subscribe to the newsletter. Adopt the framework. The transformation is total and the only question is how fast you can ride it.
Wrong for five mirror-image reasons.
First, AI doesn’t replace jobs. People using AI replace people who aren’t. The framing of “AI is replacing humans” is a marketing line that lets people who profit from AI hype avoid the awkward truth, which is that what’s actually happening is one human outcompeting another. The “AI replacement” framing obscures that this is a workforce restructuring driven by humans, not a technological replacement driven by machines. I walked through that distinction in AI Isn’t Coming for Your Job. Other People Using AI Are.
Second, the productivity gains are narrower than the hype claims. AI is genuinely useful for the work in What AI Is Actually Good At. It’s genuinely bad at the work in Six Places AI Will Break Your Work. The hype lumps both together and promises blanket transformation, which doesn’t match what the technology actually delivers when you deploy it.
Third, the most public AI deployments keep reversing. Klarna fired 700 customer service workers and is now hiring humans back at a higher cost. Air Canada’s chatbot got the company sued and lost. The doctor’s offices that deployed chatbots that trap patients are quietly walking them back. The hyper framing predicted these deployments would succeed. They didn’t. The hyper framing’s track record on its own predictions is bad and getting worse.
Fourth, the hyper position is also convenient for people who profit from your inaction. Same trick as the doomer position, in reverse. Every week you spend reading articles about how AI is going to transform everything is a week you don’t spend doing the boring, specific work of actually integrating AI into your own workflow. The hyper content is satisfying. It feels like you’re on the right side. It is not action. The producers of hyper content make money whether you act or not. You only benefit if you do, and the hyper framing replaces specific action with vague enthusiasm.
Fifth, the real opportunities are narrower than the hype claims. AI doesn’t make your existing strategy work better. AI makes you faster at the parts of your strategy that AI can accelerate, which is some of them, but not all. Adopting AI well requires understanding your own work specifically and figuring out which parts to hand off. That’s not a podcast subscription. It’s actual thinking about your actual job, and most people who buy into the hyper framing skip that step because the framing makes it feel like the transformation will happen without it.
The hyper position lets you feel like you’re on the leading edge without doing any of the boring work of actually figuring out where AI fits in your specific role. It’s a satisfying position. It is not a useful one.
What’s actually true
The third position is boring, which is why nobody wants to platform it.
AI is a useful tool with real limits. It absorbs some categories of work very well, breaks badly on others, and most professional roles are going to evolve in ways that require their occupants to learn the tool without becoming dependent on it. The transformation is real but bounded. The productivity gains are real but specific to certain kinds of work. The risks are real but mostly mundane. The opportunity is real but requires actual work to capture.
Anyone over 15 and under 81 has time to learn the tools and integrate them into their work. The blacksmith analogy from The Retraining Question applies. The blacksmiths who learned the new trades after the factories arrived came out ahead. The ones who refused to adapt had the hardest time. The doomers told the blacksmiths to refuse the new trades. The hypers told them that becoming a factory worker would transform their lives. The boring truth was that they had to learn specific new skills, slowly, and the ones who did the boring work got the better outcomes.
The same is true now. The third position is to identify the routine, repetitive parts of your work, find AI tools that handle those parts, learn to use them, free up the time, and put the time into the parts of your work that AI can’t do. Augmented Beats Replaced. Every Time. walks through what this looks like in practice. The Birth of the Augmented Human walks through what it looks like across professions.
Why the wrong positions are louder
The doomers and the hypers are both producing content for an audience that wants to feel like they’ve engaged with the AI question. The third position requires the audience to actually do something specific in their own work, which is harder and less satisfying than reading another opinion piece.
Both camps benefit from your inaction. The doomers benefit because every reader who agrees with them is a subscriber, a book sale, a podcast listener, a member of the camp. The hypers benefit the same way. Neither camp benefits if you stop consuming content about AI and start doing specific work to integrate it.
The third position has no industry behind it because it doesn’t sell anything. It’s the boring competent response to a real technological shift. It’s the same response that worked for every previous shift. It’s not going to be on the bestseller list. It’s the one that produces an augmented human in 2031 instead of a casualty.
The shadow side of getting the framing wrong, what happens to a culture when the loudest voices in the room are both wrong about the actual problem, is in The Death of Thinking. Both the doomers and the hypers are providing examples of that failure mode in real time.
The third position, stated cleanly
AI is here. It’s useful for some categories of work and not others. It absorbs the boring parts of most jobs and leaves the parts that require human judgment, voice, lived experience, and relationship. Anyone who learns to use it well becomes more valuable. Anyone who refuses or who tries to use it for everything becomes less. The transformation is real but boring, and the boring response is the one that works.
Pick one tool this week. Spend an hour. Spend two weeks using it. Repeat next month.
That’s it. That’s the position. The doomers and the hypers will both call it naive. The hypers will say it’s not visionary enough. The doomers will say it’s not skeptical enough. Both are wrong, in the same way they’re wrong about everything, which is that they’ve replaced specific work with abstract opinion. The third position is the one that produces specific results.
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