I Discovered the Best A.I. Businesses to Start in 2026

About this video

Martell, who says he has invested in a dozen AI companies and coaches 50 plus, lays out five AI business categories. First, content creation: find the constraints or bottleneck, study the content output to learn what makes it unique, build the prompts that replicate it, then package it as a service and sell the solution. He says his friend Chris used this process to turn a 9-hour piece of work into 15 minutes of effort that gets $150,000 grants approved. Second, training and education: find the gap by asking small businesses where they use AI, research the solution, pilot it with five early customers, then have AI help create a course from the research and pilot and sell it; he cites companies like Deep Learning doing, he says, 50 million a year teaching AI topics. Third, consulting and implementation: do free work to extract an assessment, focus on the biggest problem with the fastest result, extract your methodology as the product, and teach free information while getting paid for implementation. Fourth, data monetization: find data that is relevant, high quality with little noise, and high volume — hundreds of thousands if not millions of records — clean and transform it, and sell it to data scientists, data engineers and product managers, an idea he traces to investor Orin from his Flowtown days and RapLeaf. Fifth, products or services: combine domain expertise, an AI-exposed problem, and a data scientist’s research, as he says his buddy Daryl did building FlexPay, a multi-million dollar company in his telling, around declined payment transactions.

Key takeaways

• Content creation businesses work by finding the constraint, studying what makes the output unique, engineering prompts to replicate it, and selling it packaged as a service
• Training businesses start with the gap in small businesses, pilot with five customers, then turn the research and pilot into a paid course
• In consulting, do free work to build an assessment, solve the biggest problem with the fastest result, make your methodology the product, and give information free while charging for implementation
• Data monetization requires relevant, high-quality, high-volume data, transformed for buyers such as data scientists, data engineers and product managers
• AI products come from domain expertise plus an AI-exposed problem validated by a data scientist, as in Martell’s FlexPay example

Episode details: published December 8, 2023 · 8:30 long. Summary written by Self Growth Videos from the episode itself. Business results and any income figures mentioned are Dan Martell’s own claims, shared for education — they are not typical or guaranteed.

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