For starting an AI-driven business, what is your advice for picking a niche or industry to target?
I have three major rules for picking a niche. The first is it needs to be high ticket — a single customer that I gain for the client has to make the client a lot of money. Can't do 20 bucks a month SaaS here; you need to do things like $5 to $10,000 a month retainers. Number two, it needs to be not compliance-heavy. I don't want to enter into a niche as a beginner if I have to deal with HIPAA or SOC 2 or a bunch of regulatory compliance stuff around fintech — that just doesn't make sense. My only goal as a beginner starting an AI business is to gain as much experience as quickly as possible and then roll that over into some sort of bootstrappable income. And the third thing is I want data that is easy to scrape. I don't want to work with industries where I actually have to consult the freaking yellow pages or something like that. I want data on businesses that typically have websites, typically have easily accessible email addresses or phone numbers, and so typically that means digital businesses. So that's the way to do it.
Niches that work in 2026 for AI and automation share three traits: you can digitally scrape decision makers, they are high ticket, and they have low compliance needs. For example, general contractors lack online listings, making them hard to scrape. A dog walker might charge $1,000/month, but an MSP can charge $1,000–$10,000/month. Landing one more MSP client can generate tens or hundreds of thousands over the engagement, whereas a dog walker yields far less. Marketing effort is similar for both, so target the high‑ticket clients for greater social proof. High‑compliance niches like finance, healthcare, or insurance are difficult because regulations change quickly with AI and beginners lack the expertise to handle PII, data anonymization, and warehousing. Beginners should focus on digitally scrapable, high‑ticket, low‑compliance industries. In those niches you can sell any front‑end offer—client acquisition—and succeed.
My three rules for picking a niche: it must be high ticket (customers paying $5k–$15k), digital (you can scrape data and plug into tools like LinkedIn scraper or Airscale to get leads), and low compliance (avoid fintech, healthcare, etc., as a beginner to skip the activation energy of dealing with regulations).
I recommend offering services that solve money-based needs for people who have money and are willing to spend it. Compliance-related needs are money needs but not as direct a path as getting more leads, converting leads, talking to more people, or solving administrative issues costing a company $1,000–$2,000 a month. Focus on money services. As an AI-enabled business, you have many options; anything that solves a need and can have AI sprinkled on top is a good bet. AI doesn't create possibilities; it makes pre-existing solutions faster and easier to implement. The key is knowing how to solve money needs for real businesses, not just knowing about AI. Don't worry about having too many or too few services; start with three offers, put them in front of people, see what they say. If they like the offers and ask for more, naturally create another and upsell to the most sensible offer. Avoid trying to get everything right from the start; don't put the forest before the trees.
You want three things. First, target niches with high lifetime value (LTV). The higher the LTV, the more you can spend to acquire a client and still make a profit. For example, a shoe‑shine service might generate a few hundred dollars per year, whereas a personal injury firm could bring tens or hundreds of thousands. Second, choose industries where the prospect data is easily scrapable or digitally acquirable—LinkedIn Sales Navigator, keyword searches, etc.—so you can find decision‑makers who can sign checks. Third, consider compliance: heavily regulated sectors like healthcare or government‑related services are hard to automate with AI and carry legal risk. Also avoid platforms that could ban you if you automate them. In short, focus on high‑LTV, digitally reachable, low‑regulation niches.