How do you identify the best niches to provide solutions for?
I look for digital niches—those that are entirely online or do most of their business online—because lead sourcing is easy and they're usually technically minded enough to understand your solution's value without being so technical they could build it themselves. I also target high‑ticket industries where you can charge a lot, like a managed service provider billing $1,500 per month on a one‑year minimum term ($18,000 ACV). Landing one client justifies several months of your expenses. Finally, I avoid heavily regulated fields like healthcare, legal, or finance because they require data anonymization and compliance work I don't want to handle.
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 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.
In general, the best niches for an AI service are high ticket, so these are services that themselves get a lot of money when they close a deal. They also tend to be digital, meaning services that you can scrape online fairly easily. And finally, they tend to be really low compliance need — services that don't require you to check a bunch of HIPAA boxes or do a bunch of SOC 2 compliance in order to enter the space. The reason why: high ticket means if you get them a single client, you pay for yourself for a long time. Digital means it's really easy to scrape, so low friction. And low compliance needs means you're not going to screw anything up — there are a lot of hidden risks that people constantly consider before accepting a project with an outside vendor if they are in a compliance-heavy industry.