I'm a nurse practitioner transitioning into automation. I have limited knowledge and experience in SEO, copywriting, and marketing, which poses a huge obstacle. I'm stuck looking for a niche in healthcare and have landed on building adowered claims and education workflows for health insurers. What are your thoughts? How concerned about profitability should I be? Do you think regulations and HIPPO will pose a huge threat?
I wouldn't recommend a beginner go into a compliance-heavy industry like healthcare. Even with experience, case studies, or knowledge of how it works, building claims adjudication workflows for health insurers is a sticky business. If you want to build good systems for that market, you'll likely need to target mid-market to enterprise or government-affiliated organizations. The hoops to get your first deal will be much tighter, further away, and harder to reach. My recommendation: focus on a smaller audience to start, get a couple of wins, learn client management, how to service other businesses, and handle common business problems. Then use that experience to attack the mid-market level more adeptly, backed by actual experience rather than just reading or watching videos.
Regulations and HIPAA will definitely be a threat, especially if you target enterprise customers. You’ll need to worry about compliance, liability, and the cost of tools like Carrigan, which can be $400 a month versus cheaper alternatives like Make.com. However, the niche has less competition, so the cost per outreach is lower. You don’t need to be overly worried about profitability at the start, but be prepared for compliance costs.
The regulations aren't too tight to do it, but they're definitely tighter than other situations, and honestly I just don't like dealing with it. In practice, if you want to do these automations in US healthcare you can't just use Make because it's not HIPAA compliant — you need a final compliance filter/check, and the same applies to financial regulations; it makes your life way harder, forces you onto alternative platforms, and requires things like anonymizing customer data. As a business owner you get to choose your niches, and in my case the juice usually isn't worth the squeeze, so I stay away from highly regulated industries and stick to less-regulated, typically smaller businesses (though I've worked with 8-9 figure companies too). It's a tradeoff: regulated/enterprise healthcare clients mean bigger ticket sizes, longer contracts, and slower-moving business, but also a whole new tech stack to learn, unfamiliar applications, data anonymization work, and real legal/regulatory risk. I can get the same benefits working with other kinds of businesses without those cons, so that's what I choose to do — though I could see situations where someone's genuinely set on going after that market anyway.
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.