0:02 In the next 12 months, the top earners
0:04 won't be programmers, marketers, or
0:06 salespeople. They'll be the AI power
0:08 users. So, I'm going to go through the
0:11 nine AI skills with the highest income
0:13 potential that you can master today,
0:14 even if you're starting from zero. And
0:17 the last one being the absolute highest.
0:20 This isn't just a chat GPT tutorial.
0:22 It's the blueprint to AI domination.
0:24 Starting with skill number one, prompt
0:26 engineering. with an income potential
0:28 between 50 and 100 an hour.
0:31 Communicating with AI systems has become
0:33 as valuable as coding software in the
0:36 internet was in the early 2000s. People
0:38 need folks that know how to do prompt
0:40 engineering. Crafting the message, how
0:42 to talk to the AI. See, if you don't
0:44 know how to do that, garbage in is
0:46 garbage out and you won't get results.
0:49 Asking the AI to say, "Create me a
0:51 marketing plan," is not a great prompt.
0:52 And yet, that is how most people use it
0:54 every day. Okay. So, I want to give you
0:55 something that I never share, which is
0:58 my exact structure for how all my
1:00 companies have to do great prompting
1:01 because if they don't learn how to talk
1:03 to the AI, the AI won't give them the
1:05 gold and I don't have time to waste.
1:07 This has to be perfect. The first thing
1:09 is you got to define the role. When
1:11 you're talking to an AI, you have to say
1:13 act as a marketer, act as a designer or
1:15 even today, I was reviewing some legal
1:17 docs and the prompt my assistant put in
1:18 that she shared with me said act as a
1:20 lawyer. Because if you don't tell it how
1:22 to process the information, then it
1:24 can't give you the specifics through the
1:26 lens that you need to get the best
1:29 output. The second is provide the data.
1:32 If you want your AI chat to give you the
1:34 best output, give it examples. The more
1:37 information, the more examples of what
1:39 works great, the better. When I'm trying
1:42 to get my AI to help me with copy or
1:44 financial analysis, I have to give it
1:46 examples of what great data looks like.
1:49 Number three, make the ask. give very
1:51 clear instructions for what you want and
1:53 what you need. See, most people are very
1:55 vague. Tell it you want certain types of
1:57 analysis. You wanted to do research. The
1:59 more specific you are in your prompt,
2:00 the better the response is going to be.
2:02 Number four is request the format.
2:04 There's no way that I'm going to ask for
2:06 a response without telling it how I want
2:08 it crafted. If I want it bulleted, I
2:10 want it short, I want it piffy, I want
2:12 it summarized, I want it as a PDF, I
2:14 want it as an image, maybe I want it as
2:16 a spreadsheet. Whatever the format you
2:18 need it, you have to tell it. If you
2:19 don't, it's just going to give you back
2:20 text that's not going to give you the
2:22 insight you're going to need from the
2:24 AI. To make this easy, if you want my
2:26 exact prompt PDF, like my actual
2:28 blueprint and structure, just find me on
2:29 Instagram, Dan Martell, two ls of
2:31 Martell, and message me the word prompt,
2:33 and I'll send you my entire prompt cheat
2:35 sheet. Which brings us to skill number
2:37 two, AI assisted software development
2:39 with income potential between 100 and
2:42 200 an hour. Most people don't realize
2:44 this, but building custom software today
2:47 can be built by non-technical people. I
2:49 have a venture company called Martell
2:52 Ventures where we incubate and launch AI
2:54 first small business software. And it's
2:56 crazy that all the prototypes we built
2:58 are built by normal people that are not
3:01 programmers because there's existing AI
3:03 coding tools that allow us to like talk
3:06 to the software using tools like cursor,
3:08 brelet, retool. They're all available,
3:10 most of them for free. and it writes all
3:11 the heavy lifting code for us. So, we
3:13 just got to come up with the crazy ideas
3:15 we got. But getting it going, any person
3:17 can literally build these apps. I'm
3:20 going to teach you how to code software
3:23 using AI. Even as a nontechnical person,
3:25 number one, create a course. I'm not
3:29 joking. You want to use AI to teach you
3:30 how to use the AI tools. I know it
3:32 sounds silly, but go into chat GPT and
3:35 say, "I want you to tell me how to build
3:37 this app using Replet as an example."
3:40 and have it be very detailed step by
3:42 step and hit enter. Act as a program or
3:44 act as an expert. Follow my prompt
3:46 structure and it will tell you exactly
3:48 how to sign up for the software,
3:50 configure it, what prompts to put in
3:52 there to have it generate the code and
3:54 then even tell you how to run it. Number
3:57 two, find a problem. My favorite thing
4:00 to do is to talk to consultants who are
4:01 working with small business customers or
4:03 CEOs or entrepreneurs or whoever you
4:05 want to sell products to and ask them
4:07 what are people asking you to solve over
4:09 and over again and then find those
4:11 people to co-create software with you.
4:13 They've got the problem, you've got the
4:15 knowhow. You take those things, you put
4:17 it together, you have a business and you
4:19 get paid to build these prototypes. And
4:20 if you build it once, you can sell it
4:22 over and over and over again to the next
4:24 person. Number three, build the
4:26 solution. See, most people get stuck in
4:27 learning mode. I call it shelf help
4:29 where they're like always pulling books
4:30 off the shelf and they're like getting
4:32 motivated and they're listening to
4:33 podcasts and they're watching YouTube
4:35 videos. You want to go be a person that
4:38 JFD eyes it just freaking does it and
4:40 get to building stuff in the real world.
4:42 Implement it, play with it, prototype
4:44 it. The people that actually build
4:46 solutions and get those deployed,
4:47 they're the ones that are going to get
4:48 paid the big bucks. But often people
4:50 say, "Well, what if I'm more of an
4:51 artist? I'm more of a designer,
4:53 creative." Here's the good news. AI
4:54 doesn't have to threaten your career
4:56 either. Which brings us to skill number
4:59 three, AI design. With income potential
5:01 between 100 and 200 an hour, isn't it
5:03 wild how quick things have moved? I
5:05 remember when I used to get AI to create
5:07 images for me back in the day, 6 months
5:08 ago. If you look closely enough, the
5:11 image had like six fingers or three
5:12 eyeballs. And now with a lot of these
5:15 generative image AI tools, it's almost
5:17 photorealistic what you can get AI to
5:19 do. When it comes to design, design is
5:21 no longer about your ability. It's about
5:24 the creativity of your ideas. I want to
5:26 teach you the skills that you're going
5:28 to need to master AI design that my
5:31 media team taught me to help them create
5:33 projects five times faster. Number one
5:35 is generative photo. The key is is to
5:37 learn how to master the prompts that you
5:39 enter so that it can generate these
5:41 photorealistic images. And the best way
5:43 to do that is just ask AI to teach you.
5:44 I use it all the time. I used it last
5:46 week to generate new hot sauce called
5:48 bite back your tongue which is a fun
5:49 project. Putting my logo all over the
5:51 place. Sometimes I get excited. I want
5:53 to design new key designs for my
5:55 supercar collection because hey, custom
5:57 keys are cool. I'm not a designer. Guess
6:00 what? AI is. And it made it look
6:02 freaking amazing. Number two, you're
6:03 going to make a ton of money. And that's
6:05 learning how to do photo editing using
6:07 AI. Think about all these people that
6:10 have like old images or low resolution.
6:12 You can use Photoshop AI or even Topaz
6:15 to do photo editing using AI natively in
6:17 the tool. And it's not hard to learn.
6:18 You can do this. If I can figure this
6:20 out, so can you. Number three, web
6:22 design. Not only can you use AI to
6:24 design the websites, you can use it to
6:26 actually code the websites. There's
6:28 tools like Figma that has AI plugins.
6:30 It'll actually cut it up and build it
6:33 into the finished product. Or reloom.io
6:34 that just does it all for you. That's
6:36 how you're going to make the big bucks.
6:37 Where everybody else used to pay 15,
6:39 $20,000 to build websites, you can do it
6:41 for a fraction of that and keep the
6:43 balance. Which brings us to skill number
6:45 four, AI video editing with income
6:48 potential between 100 and 200 an hour.
6:50 This one's fascinating for me as a media
6:52 company because my team used to spend
6:54 hundreds of hours cutting silence out of
6:57 videos, fixing audio, cutting footage,
6:59 getting me to come in and do new takes.
7:02 And now with AI, it's literally instant.
7:04 The crazy part is video used to be 80%
7:06 technical skill and 20% creative
7:08 decisions. Now it's all about the
7:09 creative decisions and the technical
7:11 stuff is taken care of. It's kind of
7:13 like having a sue chef in a kitchen do
7:15 all the prep for you so that as the
7:16 chef, you're just putting the plate
7:18 together. So, I want to teach you the
7:20 three skills you have to master to be a
7:23 worldclass AI video editor. The first
7:25 one is clipping. Every person today
7:27 needs a clipper. They need somebody to
7:29 look at all the content and clip out the
7:30 good stuff that's used for all the
7:32 different short form videos across all
7:34 social platforms. It's the skill of
7:36 removing silence from a video clip or
7:38 creating clips for social using tools
7:42 like Firecut or Opus. My 12-year-old son
7:45 today gets paid to clip for other people
7:47 playing video games on YouTube. Number
7:49 two is generative video. This is super
7:51 cool because you can help somebody
7:53 create an AI avatar. There's actually a
7:55 company called Vidyard that will
7:57 generate an AI avatar that looks just
7:59 like you. Even companies like Synthesia
8:00 that came out with a new model that
8:02 allows anybody to just upload example
8:05 videos. It will generate a realistic
8:07 video of you talking. I mean, I have a
8:08 friend that's using this right now to
8:11 grow his TikTok, and he's never recorded
8:12 a video. Somebody writes a script, they
8:14 use the AI, they publish it, and those
8:16 shorts go viral. Number three, B-roll
8:18 search. This one's near and dear to my
8:20 heart because we pride ourselves on
8:22 finding real examples of me doing the
8:24 things that I talk about. And I will
8:26 tell you, there are terabytes of video
8:27 that my team has to go through to try to
8:30 find. Now, the good news with AI search,
8:31 we've been able to increase that speed
8:33 so it can find it. But even if there's
8:35 situations where somebody didn't
8:36 actually do the thing, but you wanted to
8:38 put them together with the scenario for
8:40 the B-roll, you can actually use AI to
8:42 generate that video, so you can clip it
8:44 in and it looks realistic. But when it
8:46 comes to creativity, this next skill
8:48 could absolutely expand your business.
8:51 Which brings us skill number five, AI
8:53 writing. With an income potential
8:55 between 100 and 200 an hour, the most
8:57 valuable business skill isn't writing
9:00 words, it's communicating ideas. So, for
9:03 example, my writing team uses AI to take
9:05 all the video transcripts from coaching
9:08 calls, advisory calls, conversations,
9:10 pretty much they record me all the time,
9:12 and they use it to extract the stories,
9:14 the lessons, the quotes that they'll
9:16 then use in my newsletter and article.
9:19 So, it's not having AI per se, write for
9:21 me. It's using it to find the gold that
9:23 they can insert into a video like this
9:25 or prompt me for a real so they get the
9:28 natural and real reaction, but using AI
9:30 to do all the heavy lifting. So, I sat
9:32 down with my head of Word, Joel, and I
9:35 asked him to teach me all the AI writing
9:36 skills that people need to master to get
9:39 paid the big bucks. Knowing how to use
9:40 those is where you're going to make your
9:42 money. Number one, extraction. As I
9:44 mentioned, take long form content,
9:47 video, transcripts, and have it break it
9:49 down into the essence or the ideas that
9:50 are represented because then you can
9:53 take that as module pieces and move them
9:55 around for your newsletter or tweets on
9:58 X or LinkedIn posts and make it your
9:59 own, not have it just right for you and
10:01 it sounds like a freaking robot. Number
10:03 two, ideation. What you want to do is
10:06 take all the best performing content for
10:09 your client, feed that to AI, and have
10:11 it push new ideas to you that you know
10:13 are going to go viral because you've
10:14 already have examples of it working on
10:16 their existing content, but then you can
10:18 come up with new ideas, new variations,
10:20 tell it to like figure out 15 new ways
10:22 based on what's worked in the past so
10:23 that you know every idea is going to
10:26 hit. Number three, creation. And this is
10:28 different than ideation because what you
10:29 want to do is you want to feed it the
10:32 exact tone of voice, specific examples
10:34 of where your customer has written
10:36 pieces of content that they're proud of
10:38 that you know have gone viral and then
10:40 you create a custom AI or custom GPT
10:42 that writes just like they would write
10:44 or just like they would talk. That way
10:46 they'll pay you the top dollar so that
10:48 they can use that AI across all
10:50 departments from responding to emails
10:52 and customer support to writing new
10:53 marketing campaigns. But learning AI
10:56 won't just impact the simple skills.
10:58 Which brings us to skill number six. AI
11:00 content marketing with an income
11:03 potential between 200 and 300 an hour.
11:04 I'm about to tell you something. Once
11:06 you hear, you can't unhear it. And it's
11:08 just as bad as finding out that Santa
11:10 Claus isn't real. Have you ever heard of
11:12 Arnold's Pump Club? Okay, it is the top
11:14 podcast by Arnold Schwarzenegger and
11:16 it's his newsletter and an app and it is
11:18 massive. It's a huge business. What's
11:22 crazy is he's never recorded a podcast.
11:24 He has an agency that manages the whole
11:26 thing for him from start to finish using
11:29 AI systems, creating newsletter content,
11:31 voice clones, and publishes the whole
11:33 thing automatically. So, here's how you
11:36 can get paid top dollar to build an AI
11:38 content creation engine just like them.
11:40 Number one, define the outcome. What
11:42 does a complete product look like? Is it
11:44 just a podcast with 100 episodes? Is it
11:46 a newsletter? Is it some other kind of
11:48 premium content like an app? You got to
11:50 figure out the whole strategy. But the
11:52 cool part is you use AI to help you.
11:55 Number two, create the content. Use all
11:56 the skills. You kind of stack them
11:58 together that I just taught you to
12:00 generate all the different content
12:01 strategies you're going to need to get
12:02 paid to produce this thing. Number
12:05 three, repurpose content. You take that
12:07 oneh hour podcast and you have AI pull
12:09 the clips to publish it all over the
12:11 freaking place. Your customer becomes
12:14 this omniresent person in their industry
12:16 where everybody sees them all over the
12:17 place and they're giving you all the
12:19 credit and referring you to many other
12:20 people helping you get paid to do the
12:22 same thing for them. Which brings us to
12:24 skill number seven, no code AI
12:27 automation with income potential between
12:30 300 and 400 an hour. If you look at all
12:33 the wastes of time, money, resources
12:35 that businesses go through just managing
12:37 workflow, you would find so many
12:38 opportunities to help businesses make
12:40 money. And it's why people are paid so
12:41 well. Recently, we had our automation
12:43 expert take all of our onboarding that
12:45 we use at Martell Media for new
12:48 employees from 15 tasks down to one.
12:50 Imagine what that saved us. That's why
12:51 we're willing to invest in the right
12:52 talent to build these kind of
12:54 automations. It actually brings me back
12:56 to a quote that this guy Naval Ravocant
12:57 talks about who's like one of the top
12:59 technology investors and then also like
13:01 life philosophers and he says, "We don't
13:03 get paid for hours anymore. We get paid
13:06 for outputs and automation can literally
13:08 10x your output." To make this super
13:09 easy for you, I'm going to share with
13:12 you my noode AI automation blueprint to
13:13 help you understand how to use tools
13:16 like make.com, N8N, Zapier, Gum Loop,
13:18 and many of these AI workflows to be
13:20 able to get paid top dollar to implement
13:23 this work. Number one, map the workflow.
13:25 So for you to be able to come in and map
13:27 out all the processes to find the
13:29 bottleneck that's stopping the business
13:31 from growing, that is what's valuable.
13:33 So, for example, in a sales process,
13:34 you've got everything from the sales
13:36 development rep who qualifies leads to
13:38 the account exec who enrolls leads to
13:40 the sales manager who manages the whole
13:41 sales infrastructure. Going to a
13:43 whiteboard and mapping that workflow on
13:45 its own is worth a ton of money. Number
13:47 two, you got to focus on cash. This is
13:49 where everybody gets it wrong where they
13:51 come in and they start automating things
13:53 cuz it's easy, but it doesn't save or
13:55 make them any money. You got to find the
13:57 lowhanging fruit that you can make money
13:59 for your clients because the more they
14:01 save or make using your automations, the
14:03 more they're going to spend with you to
14:05 do more of it. So, for example, helping
14:08 a business do cold outreach at scale,
14:11 meaning that there is a AI bot talking,
14:13 dialing every minute, every day, like a
14:15 24-hour salesperson. That will generate
14:17 more income for the business, which is
14:18 going to get you paid more. Number three
14:21 is build co-pilots. This is where you
14:23 look at somebody's work and you ask
14:25 yourself, "How can I build like an AI
14:27 buddy that sits right next to them or in
14:29 their workflow and helps them with the
14:30 work they're doing, so they're only
14:32 reviewing the final outputs, not having
14:34 to do a lot of manual tasks? All that's
14:37 cool, but what about using AI for more
14:39 complex problems in a workflow?" Which
14:41 brings us to skill number eight, AI data
14:43 analysis. With income potential between
14:45 300 and 400 an hour, I don't know if you
14:48 knew this, but Amazon runs on data.
14:51 every decision product tweak test is
14:54 databacked. With AI, every business is
14:56 going to have to start leveraging like
14:58 big data analysis or it's probably going
15:00 to suffer and fail. Just like Edward
15:02 Demings, my personal man crush always
15:04 says, without data, you're just another
15:05 person with an opinion. So, here's how
15:08 you can get paid to do AI data analysis.
15:10 Number one, data cleanup. Most
15:13 businesses have the messiest data. The
15:14 reason why they're not winning and
15:15 growing is because they can't make a
15:16 good decision because they don't have
15:17 the insights. They have spreadsheets all
15:19 over the place. They have disconnected
15:22 systems. You can get paid to use AI to
15:24 create a data warehouse or a data lake
15:25 so that they can make better decisions
15:27 because it's easier to find the
15:28 information. Number two, data
15:31 enrichment. Most businesses have no clue
15:32 that you can even do this. And that's
15:33 why they're going to love you. when you
15:35 come in and say, "Hey, all those leads
15:37 that you just have emails for, I can go
15:39 to these other systems like full story
15:42 or 6 cents and append the data or enrich
15:45 the data with contact numbers and credit
15:48 scores and location and you can do that
15:50 using AI and get paid to do it. Number
15:52 three is data insight extraction. You
15:55 get paid to help people understand the
15:56 information. One of the companies I'm
15:58 involved in is called Lomi and they're a
16:00 smart food composter that takes
16:02 literally plastic and turns it into
16:04 dirt. What they did to improve their
16:06 Facebook ads is gave AI all the
16:08 information on customers who bought and
16:09 say, "Where are more customers like
16:11 this?" Well, it turns out there are
16:13 certain states where they charge people
16:14 to take their garbage away. And those
16:16 people bought at a higher level than
16:17 people that didn't have to pay to have
16:19 their garbage removed. And those ads
16:20 started performing better because AI
16:22 told them where to find more customers
16:23 just like them. Pulling out the
16:25 insights, the recommendations,
16:28 monitoring things. AI is now set up so
16:30 you can take data and get insights in a
16:32 click. This is the last and highest paid
16:35 income skill. Number nine, no code AI
16:37 agent development with income potential
16:40 between 400 and 500 an hour. So last
16:42 week I got asked, Dan, is AI going to
16:44 take my job? And I used to say, well AI
16:45 is not going to take your job, but
16:47 somebody using AI is going to take your
16:49 job. Now here's where I'm at. Is if you
16:53 don't replace yourself using AI agents,
16:54 then you will be replaced. You got to be
16:55 the person that actually builds them.
16:58 These agents will work 24 hours a day.
17:00 They don't complain. They don't take
17:03 vacation and they do the job 100% the
17:04 same way every time they do it. That's
17:06 why agents are so powerful. So what I
17:08 want to teach you is how to build AI
17:10 agents so you can essentially replace
17:12 employees within these companies and get
17:14 paid to do it. The first step is you
17:17 have to define the job. Every agent has
17:19 a specialized output that it needs to
17:21 learn how to do. And your job is to map
17:23 it out with your customers. So you can
17:25 take all aspects of what it does and
17:26 make sure it does it really well. I
17:28 mean, if you look at sales, for example,
17:31 having an AI agent qualify prospects is
17:33 the lowest hanging fruit and can get rid
17:35 of one to two to three full-time people
17:38 and do it better 24/7 with no
17:39 complaints. The second step is you got
17:41 to develop the model. This is where you
17:44 actually train it using existing data
17:45 that you have with your customer that
17:48 shows examples of how it's done, right?
17:50 So if you have a process and standard
17:52 operating procedure, you have examples
17:54 of phone calls or transcripts from those
17:56 calls or even chat logs where you can
17:57 give it examples of salespeople
17:59 qualifying and doing it right. You need
18:01 to develop the model with that training
18:03 data set. And the third step is to
18:06 deploy and monitor. If you don't build a
18:08 system that looks at the output and
18:10 measures the quality of it and give it a
18:12 thumbs up or thumbs down, then you're
18:14 not training the AI to get better and
18:16 better over time. It's why most systems
18:18 do have humans involved at first so they
18:20 can get smarter and smarter and
18:22 essentially do the work even faster. For
18:24 example, our sales team has this AI
18:26 powered sales chat tool that essentially
18:28 takes all feedback from positive chats
18:30 where the person bought negative chats
18:32 where it didn't get qualified fast
18:33 enough or the deal didn't happen and
18:36 then uses that to feed the algorithm so
18:37 they can get smarter about recommending
18:39 new sales reps what to say, how to say
18:42 it, when to say it all automatically.
18:44 Here's what I've realized is that all
18:45 this information can feel overwhelming
18:47 and some of you guys may not feel like
18:49 you're smart enough or good enough to do
18:50 anything with it. It might be
18:51 interesting, but here's what I know. If
18:53 you made it all the way to the end, I
18:55 want you to know you're here for a
18:57 reason. I think AI is in your future. I
18:59 think that you should go get paid top
19:00 dollars to teach people AI. I think you
19:03 should get paid to implement AI into the
19:04 businesses that need it. There's never
19:07 been a bigger demand right now in the
19:08 world, and you now have a roadmap for
19:11 how to do it. Don't sleep on this. Don't
19:12 delay. Hey, don't drag your feet. The
19:14 time is now. You were meant for
19:16 greatness and you watched this for a
19:18 reason. Now, if you want to learn the
19:20 seven things I quit to go from broke to
19:22 millionaire, click here and I'll see you
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