Brutally Honest Advice For Someone Trying to Make Money with AI
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Summary
Everyone is telling you that AI will make you rich. Buy this tool, use this prop, be a millionaire by next week. But it s all bull shit. In this video, I'm going to give you the 5 truths on how to actually get rich with AI that no one will tell you.
Transcript
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Everyone is telling you that AI will make you rich.
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Buy this tool, use this prop, be a millionaire by next week.
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I've built and scaled dozens of AI companies to over a million dollars
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in less than six months through my company Martell Ventures.
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I work with founders building AI companies every single day.
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So I've seen exactly what makes people money and what makes them fail.
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So in this video, I'm going to give you the five truths
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on how to actually get rich with AI that no one will tell you.
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Starting with, truth number one, AI won't make you rich.
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then essentially you're just whacking on a wall
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focused operators with real skills that know how to do with AI makes them unstoppable having no
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focus all over the place with no real skills it's valuable AI will just burn you burn your bank
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account cost you to waste a lot of tokens and right now I'm seeing a lot of businesses that
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are spending money on AI that haven't seen any of that come back in income if you have a business
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it can help you grow faster but it can also help you get broken faster so if AI is just a tool to
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make money, then how do you make sure you actually make money with it? Truth number two, AI isn't the
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problem. Nobody woke up today and said, I need more AI. Who got AI? Can you sell me some AI?
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Nobody woke up and said that. They woke up and said, oh, this is a problem still. Why is this
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still an issue? This sucks. They have a problem. The question to ask isn't how do I use AI in my
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business? It's to ask what problem do I even solve in the first place? When AI can solve every
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problem out there, and it can. The problem to solve is knowing what problem to solve. Remember
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the nail and the hammer? So now you know you need a nail, a problem. Now you need to figure out what
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nail is the right one to hit. Here's a framework that I like to use called the gain matrix.
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Essentially, you have things that are easy for computers, hard for computers, hard for humans,
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easy for humans. And that's why we want to focus on the things in the top left corner, okay?
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that is the give and with give these are all the things that you could do it'd be easy for you to
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do think about it all the stuff like data entry and research and all these small little things
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that you could do that most people don't give up because it's not that hard i always look at this
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as the first place like nobody should be doing this in the world of ai so these are things like
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data entry right we've got other things like simple calculations
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so the next one is accelerate this is where it's hard for humans but really easy for computers
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this is where real leverage gets created this is where i think about buying back my time
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that's where i'm looking these are tasks that would take hours and ai does it in minutes and
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some examples are deep research right like giving it a bunch of documents and being like find me the
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pattern in this, right? Or you have data analysis. I do this all day long where I'm looking at
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information, data points, research reports. Like I need to find the pattern in the data. The next
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part of the matrix is about integrate. And this is where you take hard for computers and hard for
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humans and you collaborate together and you create new things that otherwise you couldn't do.
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Like, yeah, you can get it to create a bunch of Facebook ads,
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but without a human, you wouldn't be able to know what's a great one.
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And then you need to collaborate to have the volume to be able to see it.
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Oftentimes when I'm working with AI, I can't tell you what I'm looking for,
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It's about doing the right thing in the right order.
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because it doesn't have the sensibility of a human
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and together we co-create the right sequence of strategy.
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When you have problems in that quadrant, show up.
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I can't tell you the amount of times people think,
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This is where things like EQ, emotional intelligence,
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AI can't understand the complexity of the human experience
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Using these quadrants, I'm able to move faster,
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but AI doesn't have my intuition AI doesn't have my vision AI doesn't have my taste it doesn't have
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the care that I have it doesn't it doesn't know how to show up for people and that's what you
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got to think about like things like EQ emotional intelligence so I teach my kids leadership how do
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you show up for your team they're not listening to an AI and being led by an AI sure they'll follow
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tasks but being inspired that's a human thing intuition resolving conflicts understanding how
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and you wanna get everyone using the right tools
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I can't tell you how much I hate when people default to AI
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when they should just go figure out the simplest step
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what works and what doesn't before you ever introduce AI.
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where the issue was, I looked at it with my own eyes,
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It can be used to power an engine to move things faster,
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broken systems with ai thrown on top of it will burn bright solid systems you put in some ai
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will power a rocket when people come to me and they're like i want to build some software to
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solve a problem i'm like ai can help you write the software but first figure out if there's a
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problem to solve it's my favorite thing to do is launch a page have people sign up for a wait list
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talk to them if they have the problem then they go yeah i have the problem cool manually solve it
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It's called Wizard of Ozzie, where you're behind the scenes,
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you onboard the customer, you look at the data,
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It's a way to pre-validate before you sit there
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and burn a ton of tokens, spending tens of thousands
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before you even know if anybody's gonna use it.
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I got a lot of friends that have been doing this lately
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i go that's cool where's the customers you learn so much more having real customers pay you real
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money to solve their problem in a real way they might think it's ai and then eventually you can
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use ai to build the solution that they're already used to so this is exactly what you have to do
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before you start implementing ai first solve the problem manually i'm talking with your fingers i'm
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talking with your feet if you got to go out and do something do that deliver the service yourself
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that way you can understand the whole workflow second document what's working create a process
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create a checklist in real time as i'm simulating the solution i'm writing down the steps that made
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the thing happen that way if i go to build software i have the specs i actually wrote it
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out already the ai can take that and build something the third and only once you do one
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and two do you go to an mvp what's called a minimum viable product and this is the most
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basic version this is almost sometimes like it kind of works maybe the heavy lifting doesn't but
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it's the most basic version using ai and then the last step is we got to scale once we know the
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customers want we document the steps so we've built an mvp then we feed the playbooks into ai
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then it can deploy the agents then it can build the code then it can manage the whole process
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and that's how we scale but that's the last step not the first step most people start at step four
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go back to step one and work your way through it so now you know the ai is just a tool you
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know that solving real problems is where it's at and how you get rich and you know you need
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to understand the process before adding ai to your business now you're probably thinking how
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do i scale this truth number four ai does not replace people everyone in the future if they
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choose to work will be an agent operator everything in the future business will change things from
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today being a role based org chart to a workflow based org chart so for example creating a youtube
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video the traditional way okay one person for each one of these roles think creative director to come
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up with the strategy script writer you've got an editor you got a thumbnail designer and then you
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need somebody to post the video the agentic way which is the agent on the loop is one person
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owning the workflow that's where it's changed and then the agents each one of them own each
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role within that workflow with the person making sure that the whole process is being managed so
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humans will own workflows not roles anymore that's the difference my philosophy is that ai should
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make your team 10x better not replace them if you have to lay people off because of ai that's
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a leadership problem that's a leader that didn't see where the world's going didn't upskill their
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team didn't get them ready for this and now that you're watching this get ready yourself do you
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Do you think companies would rather have a person
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You're burning massive tokens with 10 people in 10 systems.
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A few weeks ago, I shut down my company for two whole days
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And we ran a contest for two days and did a hackathon.
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And at the end of it, we had dozens of AI tools
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that people built to essentially replace themselves.
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They realize if they don't do it to themselves,
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They wanna be the person that manages the system.
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They don't actually need to be the person doing the work.
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On the A side, what are the tasks that AI can do?
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For example, on the AI side, you can do planning, right?
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Okay, I have my AI process, all my Slack messages,
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all of these things used to take me days a week.
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Now it takes me minutes and I'm the human on the loop
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This is where you essentially own the workflow.
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but really talented people are not gonna sit back
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and then they're gonna use the AI to scale their output.
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I would encourage you to look at every role that you have
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so that they become better humans, better interactions.
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The person that used to get paid a lot of money
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and have vision and taste and care about people.
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Here's the thing, AI is not gonna take your job,
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but the fundamentals of building a business has never changed.
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Customers have problems, they want the problem solved.
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The more elegant and beautiful and interactive the solution,
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it just removes what's been keeping them apart.
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And that's the only way you can really get rich with AI.
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And remember, I put together my entire AI tech stack.
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Every tool I use to run my $100 million business, it's free.
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Now, if you wanna learn why I'm going all in on AI,