I run my own e-commerce store, and over the last 4 months I've gone deep on AI and actually implemented it inside the business. Not theory, real workflows running on a live store. That's what pulled me in. It's all I think about now, so I've started moving toward offering AI services instead of just running the store. I've kicked off some outreach, but here's what I keep running into: almost everyone in the ecommerce space seems resistant to using AI. There's a lot of skepticism, and it's making me rethink where to point my efforts. So my question is for the people here actually closing clients. What niche are you targeting and what's working right now? Are you sticking with ecommerce and pushing through the resistance, or did you find a space that's more open to it? Curious to hear what's landing for you.

When I started the AI Automation Society, I had no idea it would grow into this. Under two years later and we just crossed 400k. The largest AI automation community in the world. Yes, the space is exploding. But this community grew because you guys keep showing up, asking questions, dropping answers, sharing builds, and helping the person one step behind you. Huge thank you to the team that keeps this thing running, and to every single one of you who's posted, commented, or just been here. I feel lucky to get to do this. So excited to share with you guys what we've been quietly cooking up over here at AIS...👀 - Nate

Every single person following AI right now is overwhelmed. Including me. I make videos about this stuff for a living and I still feel the pressure. New model drops. New framework. New feature update. It feels like every single day. But after hearing a ton of you guys bring up "AI overwhelm" week after week, I realized this: → There's a HUGE difference between knowing the "what" and knowing the "how." Staying aware does not mean testing everything. Most new tools and features only need the "what." You see the title. You understand what it does. You move on. The "how" is reserved for the stuff that solves a problem you actually have right now. So when something new drops, I ask myself one question: Does this solve a specific pain point I'm currently dealing with? If yes, I test it in a real scenario. I test it against something that actually matters to me. If no, I save the link. I mentally file it away. And I keep walking. Because here's the thing. Your north star is probably very different from mine. Part of my job is to experiment, form opinions, and share what I think is useful. So naturally I test a lot of stuff. But if your north star is building a business or getting better at your craft, then every shiny new tool might just be a distraction. The number one mistake I see people make is they try to learn everything. They watch every video. They test every tool. They jump to the next thing before the last thing even had a chance to work. And if I've contributed to your overwhelm with my daily uploads, I apologize. hehe. But a lot of people think that this ties directly into how you measure your day. Productivity is not how many hours you worked. It's how many meaningful outputs you created that actually moved the needle towards your north star. Someone can work 12 hours one day and feel insanely productive, but they were just watching tutorials and playing around with new tools. Meanwhile someone else sits down for 5 hours, ships the one thing that actually matters, and makes more progress.

I’ve been watching our 3,700 students in AIS+, and I noticed the people making the most money are all doing this: https://app.aiautomationsociety.ai/10-hours The people charging $5,000, $10,000, even $50,000 per engagement weren't better builders. Before they ever opened n8n/Claude Code, they did one thing differently: → They found the automations worth building first. It’s like a mini audit. Just by asking a few questions and mapping out the opportunities, they were able to get clients excited and also choose the right projects to work on. And the best part is you can practice by running this same system on YOURSELF. I call it 10 Hours to 10 Seconds, because doing this can easily save you or your clients 10 hours a week by automating the right things. Get all the details here: https://app.aiautomationsociety.ai/10-hours Talk soon, Nate PS: If you’re in AIS+, this has already been updated and provided to you at no cost. You can find it in the classroom

So I'm sure you guys have heard the term "AI slop", and everyone sorta defines it differently. Maybe you think it's those TikToks of AI-generated fruits going on dates. Maybe it's infographics with misspelled words. Maybe it's something else entirely. But I want to talk about it in the context of communication. Internal, external, content you put out into the world. I write my LinkedIn posts with AI. My agent knows my business, how I write, how I speak. That's just how I work now. And there's nothing wrong with that. I think everyone should be using AI to write if it makes them more efficient. But this isn't a binary yes or no. It's a spectrum. Sometimes AI can draft and send automatically. Most of the time, I want it to just draft. Then I review. If someone sends me an email with em dashes everywhere, I don't actually care at all that they used AI. The fact that I can clearly tell it's AI-generated isn't the problem. What I do start asking is: → Did they proofread this? → Is this completely accurate? And subconsciously, I might start losing trust. Not just in the email but in the person who sent it. Our job here has changed from writer to reviewer. This quote has really stuck with me: "You can outsource your thinking, but you can never outsource your understanding." When your name is attached to the content, you take credit if it lands, as you should. But that also means you need to take accountability if it's incorrect. Taste and reviewing are becoming more important than ever. AI is super intelligent and powerful, but I don't want to see a world where we trust AI so much, that we stop reviewing things, and then the human on the other end of the content starts losing trust in us. That's why even though I write with AI, and people know that, I still try my best to disguise it and make it sound as "Nate" as possible. Check out the LinkedIn post I just wrote about this HERE