Build Your A.I. Empire in 2024 (STEP-BY-STEP PROCESS)
The Martell Method w/ Dan Martell
Dan Martell
4.9 • 628 Ratings
🗓️ 8 December 2023
⏱️ 9 minutes
🧾️ Download transcript
Summary
▸▸ Get My New Book (Buy Back Your Time): https://bit.ly/3pCTG78
If you’re looking for ways to use AI to make millions, listen up…
2023 was the year when AI exploded.
And it’s created a massive wave in the ocean of business.
Some industries and jobs have been left for dust.
But it’s also created MASSIVE opportunities to make more money faster than ever before.
And the good news is…
We’re only at the beginning of what is possible.
After investing in a dozen AI companies…
And coaching around 50-plus businesses including many of my friends who’ve built AI business models...
I’ve seen LOTS of innovative ways people are making money from AI.
So in today’s episode, I’ve distilled them down into the 5 ways you can use AI to make millions in 2024.
Connect with me on other platforms:
Instagram: @danmartell
Twitter: @danmartell
Transcript
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| 0:00.0 | Welcome to the Growth Stacking Podcast. This is Dan Martel. |
| 0:05.0 | Get rich with these five AI business ideas. If you're new to my stuff, I'm Dan Martell. I'm a technology entrepreneur. |
| 0:15.0 | I've invested in a dozen AI companies. I coach about 50 plus, and I've helped many of my friends build AI business models. |
| 0:22.9 | And what I wanted to do is extract the five big categories that you need to consider to make millions of dollars in AI today. |
| 0:31.3 | The first one is content creation. A friend of mine, Chris, a couple months ago, he was going through this process. I walked him through how to think about creation. A friend of mine, Chris, a couple months ago, he was going through this process. |
| 0:38.8 | I walked him through how to think about creating content using AI. |
| 0:43.3 | And today, he took a nine-hour piece of work and has distilled it into 15 minutes worth of effort that gets $150,000 grants approved using this exact process. The first one is |
| 0:56.6 | look for the constraints. Anytime there's content being put out there, it could be marketing |
| 1:01.0 | content, it could be producing scripts for video content. What is the bottleneck around that? |
| 1:06.3 | What are the constraints? Because what you want to help people do is move fast then you want to go to |
| 1:11.0 | number two which is the content look at the output understand what parts of that information |
| 1:16.8 | makes it unique if it's Facebook ads if it's blog posts what makes it unique because what |
| 1:22.6 | you're looking for is how do you replicate the output then number three is you got to figure out what are the prompts |
| 1:28.4 | they go into this. The prompts are where the heavy lifting for AI engineering goes into. You're |
| 1:34.1 | going to have to figure out how to create the prompts that generate the content based on the |
| 1:38.1 | constraints on the front end. And it's all about the inputs. Then the last part is the solution. |
| 1:43.8 | Take all of that, package it up into a |
| 1:46.3 | service and then put it out there. So you got to sell that solution. The second one is training |
| 1:52.0 | and education. You might think everybody knows about AI. Trust me, they don't. So you want to |
| 1:57.1 | create a business where you get paid to train and educate the market. There's companies |
| 2:03.2 | like deep learning. They do 50 million a year teaching and training people on the topics of |
| 2:08.5 | AI. You can even get paid to help small businesses integrate AI into their company. And that's |
... |
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