I am a Frontend Engineer (React.js & Next.js, Building Saas, E-commerce Websites) and am now working towards becoming an AI Automation professional. Something that I have been wondering about: Many professionals learn skills such as using tools like n8n, Claude, Make, GHL, and AI Agents, but how is knowing all these things different from making money through clients? What would be your priority if you started from scratch today for the next 90 days? - Learning skills/tools? - Project building? - Working on finding the right niche? - Working on getting clients? It would be interesting to know what you would've done differently! 👇

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 day I see people asking: "Should I learn n8n?" "Should I learn Make?" "Should I learn Claude Code?" But I rarely see people asking: "What business problem should I solve?" Tools change every year. The ability to identify inefficiencies and build solutions stays valuable forever. Do you agree? Or do you think mastering tools should come first? Curious to hear different perspectives. 👇

Let's get to know each other! Comment below sharing where you are in the world, a career goal you have, and something you like to do for fun. 😊

Most YouTubers show you a single path into AI work: start an automation agency → take clients → sell automations. It works. I know because I built an AI automation agency and sold it. But it's not the only way in, and for a lot of you it's not even the best one. I made this video to break down the two real paths: The AI Career Opportunity Nobody is Talking About in 2026 Here's the quick version: Path A is the agency play. You go independent, take clients, build your own practice. Path B is the employment play. You become the most AI-fluent person in the room, and that's who companies want to hire or promote for AI work. If you're already employed, you become the obvious pick when an AI role opens. If you're looking to get hired, or move somewhere better, you walk in with real work instead of just claims. It's the less obvious path, but it's actually the more common one. The employment numbers (see the video) are shocking actually. Watch the full breakdown in the video. Then do one thing for me in the comments because I'm super curious: Tell me which path you are on. A, B, or both. And one line or so on why. I'll be reading these. Nate