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Dan Martell
- December 08, 2023
I Discovered the Best A.I. Businesses to Start in 2026
Episode Stats
Length
8 minutes
Words per Minute
193.75735
Word Count
1,645
Sentence Count
93
Summary
Summaries generated with
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Transcript
Transcript generated with
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turbo
).
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Get rich with these five AI business ideas.
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If you're new to my stuff, I'm Dan Martell.
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I'm a technology entrepreneur.
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I've invested in a dozen AI companies.
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I coach about 50 plus,
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and I've helped many of my friends build AI business models.
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And what I wanted to do is extract the five big categories
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that you need to consider
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to make millions of dollars in AI today.
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The first one is content creation.
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A friend of mine, Chris, a couple months ago,
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he was going through this process.
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I walked him through how to think
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about creating content using AI.
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And today he took a nine hour piece of work
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and has distilled it into 15 minutes worth of effort
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that gets $150,000 grants approved
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using this exact process.
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The first one is look for the constraints.
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Anytime there's content being put out there,
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it could be marketing content,
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it could be producing scripts for video content.
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What is the bottleneck around that?
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constraints because what you want to help people do is move fast. Then you want to go to number
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two, which is the content. Look at the output. Understand what parts of that information makes
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it unique. If it's Facebook ads, if it's blog posts, what makes it unique? Because what you're
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looking for is how do you replicate the output? Then number three is you got to figure out what
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are the prompts that go into this. The prompts are where the heavy lifting for AI engineering
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and goes into, you're gonna have to figure out
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how to create the prompts that generate the content
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based on the constraints on the front end.
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And it's all about the inputs.
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Then the last part is the solution.
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Take all of that, package it up into a service
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and then put it out there.
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So you gotta sell that solution.
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The second one is training and education.
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You might think everybody knows about AI.
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Trust me, they don't.
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So you want to create a business where you get paid
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to train and educate the market.
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there's companies like deep learning they do 50 million a year teaching and training people on the
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topics of ai you can even get paid to help small businesses integrate ai into their company and
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that's the first step in this process is understanding where's the gap talk to the
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small business owners and ask them where are you using ai to increase your efficiency or solve
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problems faster you first got to start with the gap then you go to research the solution have
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have those interviews, talk to those customers,
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figure out where the opportunities are to train and educate,
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then research, become an expert around the solution.
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The third step is to pilot that solution
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with those early customers.
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You find five customers, you interview them,
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you see what their challenges are,
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you then go and do the research to solve the problem,
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you pilot it with those customers,
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outline the prompts, the strategy,
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whatever you wanna integrate,
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and then finally, then you create a course.
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And here's the coolest part,
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you actually ask AI to create the course
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based on the research and the pilot that you've put together.
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I'm telling you, it's that simple.
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Get in front of a camera, create the course,
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start selling it.
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That's how you can get paid today
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to train and educate other people on AI.
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The third business is consulting and implementation.
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There's four key areas you need to focus on
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if you wanna make money using this business model.
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The first one is you find somebody,
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you gotta do free work.
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And the reason why is because you're trying
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to extract the assessment.
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The assessment is when you start working with a new customer,
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what are the questions you're gonna ask them
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in regards to their AI adoption?
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What are they doing today?
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Where are the opportunities?
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That's number one.
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Then we want to focus on out of all the opportunities,
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what's the biggest problem that you can solve
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that also gets them a fast result?
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Biggest problem, fastest result using AI
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that you can do for them.
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Then you go to third step, which is extract the methodology.
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In consulting businesses, the methodology is the product.
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It's the process for how you actually implement what you do.
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Then the last step, number four,
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is you have to teach free information,
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get paid for implementation.
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This is the key.
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Most people don't get this.
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Give away everything you know how to do
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and then get paid for the implementation,
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get paid for the consulting.
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Number four is data monetization.
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I told you it's gonna get more advanced,
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but this one is actually next level.
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A long time ago, I had a company called Flowtown
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and I had an investor named Oren.
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Oren had sold his company, Wrap Leaf,
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and he was working on a new idea.
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And his big idea was to create a marketplace
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for data providers to sell to AI companies.
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And this was seven, eight, nine years ago.
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And at the time, I didn't think
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it would actually be a big idea.
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I'm like, who would buy this information?
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And it turns out it's become an incredible business.
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There's opportunities for you to go and find data sets
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that are unique.
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make sure that they're accurate, they're clean.
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I'll tell you what to look for
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and then sell those to these people on this side
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and make a ton of money
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if you understand this element right there.
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So let's dive into it.
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First off, you gotta find information that's got relevance.
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So trying to figure out what some of these AI people
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are looking for data-wise, that's the key.
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It's gotta be relevant to their model.
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Number two is it's gotta be high quality.
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What I mean by this is it can't have a lot of noise.
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It can't have a lot of inaccuracies.
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And then the final part,
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which is the key for anything AI is volume.
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These large language models need hundreds of thousands,
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if not millions of records around the data.
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So you gotta find stuff that's relevant and clean,
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high quality and high volume.
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Now, who do we sell this to?
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First off, you've got three key people.
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Number one is data scientists.
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Go on LinkedIn, find the people that are data scientists
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inside these groups of people.
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The hedge fund companies, the technology companies,
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they've got a data scientist that tells you that they buy data. Number two is a data engineer. Data
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engineers are actually the people that sit there and they massage the information that comes in
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to make sure it can map to the AI models. And then the most important role in Silicon Valley
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in all technology companies is product managers. These are people that are making decisions about
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product roadmaps and how they're going to differentiate and compete against their
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competitors. So they're always looking for data to be competitive. Now, the business model for
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you to do is you will make tens of millions of dollars doing this, right? Is you have to be good
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at transforming the data. There's different file types and depending on what technology the data
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scientists are using, they might need you to transform that data so that it fits in their
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world. The fifth business model for making money off of AI is products or services. See, products
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or services are awesome because you will get paid all the time for people using the product. For you
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to find the right product or services can require a few things. There's three elements. My buddy
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Daryl, he runs a company called FlexPay. He was in the industry that he's in today, but he saw an
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opportunity to take all this data and create a better solution. Now Daryl's business is a
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multi-million dollar company and you can do it too. See, there's three things you need. The first
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one is domain expertise. You need to understand your industry because you want to go deep and
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look in the nooks and crannies of what's going on in the market that you could see opportunities for
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AI. Number two, and this is what Daryl did, because he understood the problems, he found an AI exposed
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problem. An AI exposed problem is an opportunity to use big data to improve a process. See, one
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of the things he noticed in the payment world is that many of the transactions were getting
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declined. Maybe you've experienced this where you go to use your credit card online and it doesn't
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want to work but it doesn't make sense because there's space on the card. Daryl saw an opportunity
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that was an AI exposed problem and then what he did that I'm recommending you all do is he hired
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a data scientist and said we have all this data could you look at it evaluate it and tell us do
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we have an opportunity to create a product or a service around AI and not only did they have an
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opportunity they realized this problem was a massive problem think about all of the subscription
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businesses in the world all these micro payments they're all there online and they have problems
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with customers credit cards getting declined they took all this information the domain expertise he
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had the ai exposed problem and the data scientist research and they decided to build the ai enabled
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product which became flex pay you can do the same thing so those are the five business ideas in ai
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that'll make you rich and if you want to learn how to get 10 more clients by the end of the year
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click the video on screen and I'll see you on the other side.
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