If you want to make money with AI, you might be looking in the wrong place. Everyone is chasing: AI agents. AI apps. AI SaaS. The latest models. The latest automation tools. Meanwhile, some of the biggest opportunities are hiding inside businesses that are incredibly… boring. Businesses are still running on phone calls, spreadsheets, emails, paperwork, and repetitive manual workflows. And that's exactly where the opportunity is. In this video, Jeff Herschy breaks down how to spot those opportunities and turn them into real AI businesses—without spending months building something nobody wants. Inside the breakdown: - The 4 things to look for in an AI opportunity: Pain, Frequency, Value, and AI Leverage - Why you should sell the problem before building the solution - How to find repetitive workflows inside local and B2B businesses - 5 boring business categories worth exploring - Why your existing industry knowledge can become a major AI advantage - How to validate an AI business idea before investing months into it - Why your first version doesn't need to be software - How to price based on value instead of your time - A simple 7-day plan for testing an AI business opportunity The goal isn't to build another shiny AI tool. It's to find a real problem that's already costing a business time, money, customers, or opportunities—and use AI to solve it. I'm attaching: - The presentation PDF for the video - The Boring Business AI Opportunity Playbook with the questions to ask, workflow mapping framework, opportunity scorecard, and 7-day validation plan Watch the video first. Then use the playbook to find one boring problem worth solving and test it before you build anything. After you watch: 👉 Comment on the YouTube video with your biggest takeaway 👉 Subscribe to the channel for more practical AI business strategies Stop looking for the next shiny AI idea. Look for expensive problems hiding in boring businesses.

AI is creating more opportunities than ever. But that’s also the problem. There are so many AI business ideas floating around that figuring out where to start can be harder than actually starting. In this video, I break down 5 practical ways to make money with AI in 2026 — even if you have no technical background or experience. We’ll cover: ✅ AI Lead Generation & Appointment Setting ✅ AI UGC & Content Creation ✅ AI Websites ✅ AI Short-Form Clipping ✅ AI Voice Agents For each model, I break down: - What you actually sell - How you get paid - How difficult it is to start - The potential for recurring revenue - The biggest downside you need to understand Then we get to the important part: Which one would I choose if I were starting from zero today? Because the real question isn't: "What can AI do?" It's: "What expensive problem can I solve with AI?" That's where the opportunity is. I’m attaching: - The presentation PDF from the video - The AI Money-Making Playbook with the models, pricing guidance, tools, and first-client action plan Watch the video first. Then use the playbook to pick one model and start executing. After you watch: 👉 Comment on the YouTube video with your biggest takeaway 👉 Subscribe to the channel for more practical AI business strategies You don't need five businesses. You need one problem worth solving, one offer worth buying, and enough execution to make it work.

Most people think making money starts with building a business. Website. Logo. Audience. Funnel. Perfect offer. It doesn't. Your first dollar starts with something much simpler: Find a problem. Solve it. Ask for the money. In this video, Jeff Herschy breaks down the exact 4-step process he'd use if he had to start from $0 and give himself a real shot at getting his first paying customer tomorrow. The process: 1️⃣ Find a Problem: Identify something that's costing someone time, money, customers, or opportunity. 2️⃣ Turn It Into an Offer: Don't sell your skills or technology. Sell the result you can create. 3️⃣ Find 20 People: You don't need thousands of followers. Find 20 people who actually have the problem. 4️⃣ Ask for the Money: Have the conversation. Make the offer. State the price. Let the market answer. That's it. Your first dollar isn't just revenue. It's evidence. Evidence that someone has a problem. Evidence that you have a solution. Evidence that someone is willing to pay for the value you create. I'm attaching: - The presentation PDF from the video - The First Dollar Playbook to help you work through the process step-by-step Watch the video first. Then use the PDF and playbook to actually test the idea instead of spending another six months preparing. After you watch: 👉 Comment on the YouTube video with your biggest takeaway 👉 Subscribe to the channel for more practical business and AI strategies Don't build the perfect business. Find one problem. Make one offer. Ask one person for money. That's how you get your first dollar.

What if you didn't need to build an app... Or grow a massive audience... Or spend six months creating the “perfect” AI product? If I were starting from zero today, I'd do something much simpler. Find an expensive problem. Pick a specific market. Create a productized offer. Sell it manually. Get proof. Then scale what already works. That's the play. In this video, I break down the framework I'd use to build toward $100K/month—including the math, the offer, the sales process, and when I'd actually bring AI into the business. Inside the breakdown: - Why $100K/month is really a math problem - How to choose a problem businesses will actually pay to solve - Why you should sell the outcome, not the technology - How to build a productized service instead of creating yourself a job - How to think about $1K, $2.5K, and $5K+ monthly pricing - How I'd get the first 5–10 customers without relying on ads - Why proof matters more than scale when you're starting from zero - How sales conversations become your best source of customer insight - When to automate with AI—and when not to - The progression from $0 → $10K → $30K → $50K → $100K/month The core principle is simple: Sell first. Then build what people are already paying for. I'm attaching: - The presentation PDF for the video - The playbook to help you work through the framework and actually build toward the goal Watch the video first. Then use the PDF and playbook to map out your own path instead of trying to build everything at once. After you watch: 👉 Comment on the YouTube video with your biggest takeaway 👉 Subscribe to the channel for more practical business, AI, and growth strategies You don't need a million-dollar idea. You need a painful problem, a valuable outcome, and enough customers who will pay for it. That's how $100K/month starts.

If you feel behind in AI, you're probably not actually behind. You're just trying to learn too much at once. There's a new AI tool, model, agent, automation platform, or prompting technique every week. Try to learn all of it... And you'll spend months jumping from tool to tool without actually getting better at using AI. That's the trap. In this video, I break down the AI learning roadmap I wish I had when I started—what to learn, what to ignore, and the order I'd recommend learning it in 2026. The goal isn't to master every new AI tool. It's to build skills that transfer from one tool to the next. The 5 skills: 1️⃣ AI Fundamentals 2️⃣ Communicating With AI 3️⃣ AI Research & Reasoning 4️⃣ AI Automation 5️⃣ AI Systems & Agents You'll also learn: - Why you feel behind in AI - The biggest mistake people make when learning AI - How to communicate with AI without memorizing "secret prompts" - How to use AI for research, analysis, and better decisions - How to identify workflows that can be automated - The progression from prompts → workflows → automation → systems → agents - Why building real projects is the step most people skip Because here's what actually matters: Don't learn AI for the sake of learning AI. Learn how to use it to solve real problems. I'm attaching: - The presentation PDF for clarity - The AI Learning Playbook with the roadmap, practical exercises, and project-based action steps Watch the video first. Then use the PDF and playbook to pick a skill, work through the exercises, and build something real. After you watch: 👉 Comment on the YouTube video with your biggest takeaway 👉 Subscribe to the channel for more practical AI and business strategies Stop chasing every new tool. Build skills that survive the next one.