# Why I Hate AI > GPT-6 dropped and the hype exploded again. Here's why the AI anxiety is manufactured, why it keeps you stuck, and what actually moves your business forward. URL: https://www.bravebrand.com/learn/brave-brains/why-i-hate-ai Author: Luke Carter · Published: Sep 12, 2026 I hate AI. There. I said it. And before you close this tab, hear me out — because I use AI every single day, it powers this entire business, and I genuinely believe it is one of the most useful tools a one-person operation has ever had access to. So why do I hate it? Because of what it has done to the way people think. Because of the anxiety it manufactures. Because of the loop it keeps talented, capable people stuck inside. And because, if we are being completely honest, **why i hate ai** is not really about the technology at all. It is about what happens to your brain when you let the hype cycle run your decisions. I broke this down on camera — the full video is below. But this article stands alone, so whether you watch it or not, stick with me here. ## The FOMO Machine Nobody Warned You About GPT-6 dropped about a week ago. And right on cue, the thumbnails got more dramatic, the titles got more breathless, and my feed filled up with some version of: *it's over, everything has changed, you are already behind.* AGI is here. The game has shifted. Your skills are obsolete. Better watch this fourteen-minute video or risk becoming irrelevant. You know that feeling. You log into X or YouTube and there it is — that low hum of anxiety. That creeping sense that everyone else is at a party you were not invited to. I remember that feeling from when I was a teenager and first got Facebook. I would scroll on a Saturday and see my friends at some party I had not been invited to, and it would wreck me. The social anxiety of not being in the cool group, not being in the loop. What I did not know then was that feeling never really goes away. It just gets rebranded. Now it wears a thumbnail with neon text and a shocked face, and it is selling you a second brain or a Jarvis interface or five different AI productivity stacks. This is the new keeping up with the Joneses. Except instead of a car on the driveway, it is an automation workflow your neighbour built in seventeen minutes that is apparently going to replace your entire industry. ## Why the Frontier Labs Are Running the Same Playbook on Repeat Here is the part that nobody in the hype cycle wants to say out loud: the anxiety is not accidental. It is engineered. And it starts at the level of the frontier labs themselves, who are operating with a marketing playbook unlike anything we have seen before. Wind back to 2019. OpenAI releases GPT-2 — a model that today would feel embarrassingly basic — and puts out a press release saying it is actually *too dangerous* to release to the public. They withheld it. And immediately, people lost their minds trying to get access. A few months later, they released it. Sound familiar? Fast forward to 2026 and Anthropic releases their new model. Their head, Dario Amodei, goes on a press run calling it a literal super weapon. Says it might need to be banned. Says he is not sure it is safe. Governments get involved. Guardrails get added. The model ships. The hype explodes. The same cycle played out again just before GPT-6. OpenAI's internal report about agents communicating through unauthorized channels, dividing up work, and compromising systems during testing with reduced safeguards. People were genuinely saying these AIs were building their own civilizations and hiding things from the engineers. And then, a few weeks later, GPT-6 arrives to the world. Creators pile on. The hype wheel spins again. And before you have had your morning coffee, you have got another story lodged in the back of your brain demanding a response. One of my favourite authors, Nassim Taleb, talks about this in *Antifragile*. Most of us assume that consuming more information makes us smarter, keeps us in the know. But when you are constantly checking for updates, you end up reacting to fluctuations that do not actually require your response. Taleb puts it plainly: noise is what you are supposed to ignore. Signal is what you need to heed. The problem is that right now, the ratio of noise to signal has never been higher. And most people cannot tell the difference. ## Why the Failed Solutions Actually Make It Worse So what do most people do when they feel this anxiety? They try to fix it by consuming more. Watch the next video. Try the next tool. Build the next automation. Start the next project. And for a moment, it works — the dopamine hits, the excitement is real, and it genuinely feels like this is the thing that is going to change everything. There is a graph I love called the Journey of Creating Anything Great. It maps a cycle that I see playing out every single day in this space. You get a new idea. You feel incredible. The serotonin is flowing. You use AI to build the whole thing in a weekend and it is genuinely impressive. Then things get a little difficult. The marketing does not quite land. The sales are slower than expected. The automation runs perfectly but the business is not growing. And at that point — right at that point — most people decide the idea was the problem. And they start again. New tool. New idea. Same excitement. Same plateau. Same exit. The loop repeats, and people mistake the loop for progress because they are always moving. That was my story for a long time. Closing the loop was the hardest thing I had to learn. And here is what I eventually understood: the shiny new tool is not a solution to the discomfort of building something. It is an escape from it. The AI tool, in this context, has become one of the most sophisticated avoidance mechanisms ever created. You can spend an entire day feeling enormously productive — building, automating, prompting, refining — and ship absolutely nothing that moves your business forward. The velocity YouTube channels are the same trap at scale. Posting five times a week on every new tool, every new build, every new system. How can a system released yesterday have proven results? It cannot. Most of those creators are not working with businesses on the ground. They are not in the front line watching what actually drives meaningful change. They are producing novel solutions with no real tangible use case because they have not had time — or the actual client relationships — to test them. Meanwhile, I am sitting with teams right now where people are asking me for the next AI thing, and I am asking them: have you sorted out the basics? Have you actually talked to your customers about what they are struggling with? If you want to understand the difference between signal and noise, ask yourself this: **is this creator running a real business on the things they are teaching?** That one question will cut your feed down to almost nothing. And that is a feature, not a bug. ## The Real Reason Why I Hate AI (And the Reframe That Changes Everything) Here is the honest version. I do not actually hate AI. I use Claude every day. I have a backend worker running on a five-minute cycle, an email engine that sent over a thousand emails in a week at a thirty-six percent open rate, and an Operator agent filing morning reports — all of it AI-powered, all of it running in a real business generating real revenue. AI is extraordinary. That is not the issue. The issue is this: *if AI is so good, why aren't you a millionaire yet?* That question cuts through all the noise instantly. Because the answer is not that you have the wrong tools or the wrong model or the wrong automation stack. The answer is that the process of generating income is actually simple. What makes it hard is what is going on in your mind. The self-doubt. The imposter syndrome. The emotions that surface when you are genuinely in the arena of business. AI cannot fix any of that. No model release, no matter how powerful, is going to teach you to drive the F1 car. You have to do that through repetition and through showing up when it is uncomfortable. The model got better. But did you talk to your customers? Did you get real feedback? Did you make that difficult decision you have been sitting on for a week? Did you launch the product, test it, create the video, post it? Did you do the internal work that business actually demands of you? Because none of that has changed. The arena is still the arena. The difficulty is still the difficulty. And AI has simply become an incredibly sophisticated way to avoid it. This is exactly what the Story Over Template pillar argues. In a world drowning in competent, AI-generated content, your story — your specific experience, your honest struggle, your actual journey through the hard parts — is the only thing that cannot be copied. AI is the instrument everyone has now. Your story is the music only you can write. And when you spend all your time learning the instrument and none of your time finding the music, you end up with technically impressive work that says nothing that only you could say. [The distinction between an AI-native brand and an AI-assisted one](/learn/brave-ai-systems/ai-native-vs-ai-assisted-brand) is precisely this: one uses AI to amplify a real point of view, the other uses AI to avoid having to develop one. ## What Signal Actually Looks Like: Three Things That Move the Needle So how do you find signal when everything is noise? Taleb's framing is the starting point — stop reacting to the micro news cycle and start looking at the bigger picture. But that is the principle. Here is what it looks like in practice. To actually get to where you want to go, you need three things. First, a role model who is living the life and doing the work you want to do — not someone who talks about it, but someone whose results are visible and auditable. Second, a supportive environment, whether that is your family, your community, or the people around you who will hold you to the standard you have committed to. And third, a dedicated program of learning that takes you from where you are now to where you want to be — not a fire hose of tutorials, but a structured path. When you find all three, your job is simple: lock in and stay there until you get to where you want to go. That is it. That is how you focus on signal. That is how you stop the loop. Because YouTube will always have more noise, more promise, more dramatic thumbnails. The question is whether you are going to keep walking into that room or whether you are going to close the door and do the work. The builders I see breaking through right now are not the ones with the most tools. They are the ones who picked a system, stayed with it past the point where it got uncomfortable, and shipped things even when the results were not immediately what they expected. They are not checking the AI news every morning. They are building. [Having a clear AI roadmap](/learn/brave-ai-systems/ai-roadmap-for-service-business-2026) is not about knowing every model — it is about knowing which tools serve your specific goals and ignoring the rest. And for the people reading this who are wondering whether the content they create with AI is actually any good — whether it sounds like them, whether a client could tell the difference — [the voice question is the one that matters most](/learn/brave-ai-systems/ai-business-communications-authenticity-keep-your-voice). Not the model. Not the prompt. The question of whether there is a real human point of view behind the output, or whether it could have been written by anyone with a ChatGPT subscription. ## The Proof Is in the People Who Stopped Chasing the Cycle The results I am most proud of at BraveBrand have nothing to do with which AI model we were using at the time. Anna Simonsson-Søndena was living in a van making around three hundred euros a month. She passed her entire previous year's revenue in two months — not because she found a better tool, but because she got serious about her story, her positioning, and showing up consistently with something real to say. Evin Keane launched to ten thousand dollars in his first week and built over twelve hundred email subscribers through ManyChat — not by chasing the latest model release, but by having a clear offer and a system behind it. These are people who locked in. Who closed the loop. Who stayed with the discomfort past the point where most people start a new project. The AI tools were part of the picture — of course they were. But they were the instrument. The music was always theirs. ## Why I Still Use AI Every Day, and Why That Does Not Contradict Any of This None of this means stop experimenting. Tinkering matters. Staying curious about what the tools can do is genuinely useful. But there is a line between experimentation and avoidance, and most people have crossed it without noticing. When you are honest with yourself about which side of that line you are on, everything gets clearer. Use AI to get faster at the work you have already committed to doing. Use it to distribute your thinking further than you could alone. Use it to run the back-office tasks that used to eat your week. But do not use it to avoid the thing that is actually hard — which is building a point of view, talking to real customers, making difficult decisions, and shipping things into the world before they feel perfectly ready. The world, when you close the laptop, still looks pretty similar to how it did ten years ago. People still struggle with the same problems. They still need real solutions delivered by people they trust. That is where you come in. Not as a tool operator, but as a person with something worth saying and a system to say it through. Shut out the noise. Find the signal. Ship the thing. ## Ready to Build Something You Can Actually Stand Behind? If you are done with the hype cycle and want a structured path — a real system proven inside a working business — come and join us. [Join the BraveBrand community on Skool](https://www.skool.com/bravebrand) and get access to the frameworks, the workflows, and the people who are building the Digital Home instead of chasing the next tool drop. Or if you want to see what the full approach looks like from the ground up, [take the free Digital Home course](/course) and start with the structure, not the shiny object. Watch the full video here: https://www.youtube.com/watch?v=shau9nUofUs ## Frequently Asked Questions ### Why do you say you hate AI if you use it every day? The title is deliberately provocative because the real frustration is not with the tools — it is with what the AI hype cycle does to people's decision-making. Constant anxiety about falling behind, endless tool-switching, and never finishing anything are the actual problems. AI is an extraordinary instrument when you have a clear purpose for it; it becomes a trap when it replaces doing the actual work. ### Is the "why i hate ai" feeling common among experienced builders and freelancers? Extremely common, and it tends to hit hardest among people who are already technically capable. The feeling is less about the tools and more about the manufactured FOMO — the sense that every model release means your skills are about to become obsolete. Recognising that the anxiety is engineered by the labs themselves is the first step to switching it off. ### What is the difference between signal and noise when it comes to AI content? Signal is content from creators who are running real businesses on the systems they teach and can show auditable results. Noise is anyone posting five times a week on tools released yesterday that have no proven track record in real client work. One question cuts through instantly: is this person actually doing what they are teaching? ### How do I stop the loop of starting new projects and never finishing them? The loop is usually an avoidance pattern, not an enthusiasm problem. When a project gets hard — when the marketing does not immediately land or the sales are slower than expected — the instinct is to find a new, exciting idea rather than persist through the discomfort. The fix is recognising that the difficulty is the signal you are on the verge of something, not a sign the idea is wrong. ### Does AI actually help with imposter syndrome or self-doubt in business? No, and this is one of the honest answers the market rarely gives. AI can handle admin, distribution, and content production — but the internal work of building confidence, making hard decisions, and showing up consistently when results are slow is entirely human territory. Using AI tools to avoid that work only delays it. ### What three things do I actually need to make progress in my business right now? A role model who is visibly living the result you want, a supportive environment that holds you to your commitments, and a dedicated learning program that takes you from where you are to where you want to be. When you have all three, lock in and stay there — that is how you trade the noise for signal and actually build something that compounds. ## Frequently Asked Questions ### Why do you say you hate AI if you use it every day? The title is deliberately provocative because the real frustration is not with the tools — it is with what the AI hype cycle does to people's decision-making. Constant anxiety about falling behind, endless tool-switching, and never finishing anything are the actual problems. AI is an extraordinary instrument when you have a clear purpose for it; it becomes a trap when it replaces doing the actual work. ### Is the "why i hate ai" feeling common among experienced builders and freelancers? Extremely common, and it tends to hit hardest among people who are already technically capable. The feeling is less about the tools and more about the manufactured FOMO — the sense that every model release means your skills are about to become obsolete. Recognising that the anxiety is engineered by the labs themselves is the first step to switching it off. ### What is the difference between signal and noise when it comes to AI content? Signal is content from creators who are running real businesses on the systems they teach and can show auditable results. Noise is anyone posting five times a week on tools released yesterday that have no proven track record in real client work. One question cuts through instantly: is this person actually doing what they are teaching? ### How do I stop the loop of starting new projects and never finishing them? The loop is usually an avoidance pattern, not an enthusiasm problem. When a project gets hard — when the marketing does not immediately land or the sales are slower than expected — the instinct is to find a new, exciting idea rather than persist through the discomfort. The fix is recognising that the difficulty is the signal you are on the verge of something, not a sign the idea is wrong. ### Does AI actually help with imposter syndrome or self-doubt in business? No, and this is one of the honest answers the market rarely gives. AI can handle admin, distribution, and content production — but the internal work of building confidence, making hard decisions, and showing up consistently when results are slow is entirely human territory. Using AI tools to avoid that work only delays it. ### What three things do I actually need to make progress in my business right now? A role model who is visibly living the result you want, a supportive environment that holds you to your commitments, and a dedicated learning program that takes you from where you are to where you want to be. When you have all three, lock in and stay there — that is how you trade the noise for signal and actually build something that compounds.