[00:02] pretty easy. Most people are just thinking about it the wrong way, and I'm not going to tell you how to get better at prompting or use this AI tool. That won't get you anywhere unless you use a simple framework. I've built and scaled
[00:14] several companies past a million dollars in under 6 months through Martel Ventures, and the most important thing to understand first and foremost is AI doesn't actually solve problems. The person using it solves problems. AI just
[00:28] does stuff. For the longest time, winning has been man plus tool, man plus laptop, man plus bike, and it still is man plus tool. So, as long as that's still the equation, then your job is to be a better man that uses the tool.
[00:42] you didn't know how to use it, it wouldn't make you any money. And a lot I should be rich." Unfortunately, AI isn't going to make you rich. You being the person using it and the tool, that's how you get rich. And the truth is, some
[00:57] belong to the AI. And if you're stuck between both of them, you'll just feel really busy, but you won't be making progress. In this AI era, the person who understands the problem the best, they'll actually win, not the person who
[01:10] figure out what problems you should be solving with AI, I've come up with a simple framework. I call it the gain matrix. There's four letters and four quadrants. The left side is easy for computers, the right side is hard for
[01:22] computers. The top is easy for humans, the bottom is hard for humans. Each quadrant will show you how to collaborate with AI to get things done. And the easiest one to start with is give it to AI. This is easy for humans,
[01:36] but also incredibly easy for computers. Think about all the stuff that you started using ChatGPT for, things like synthesizing text or looking over emails or updating your CRM or creating spreadsheets, things that you could do,
[01:49] not hard, but the AI does it way better, way faster. Yesterday I was working with new proposal, and I was like, "Bro, stop writing. Just talk and give it to AI. It'll analyze the financials, it'll
[02:02] together, and it'll get us a table that gets us clear on the decisions we have to make to move it forward. Why are we trying to do stuff that's so wildly easy for AI that takes our time just cuz we can do it?" These are just the small
[02:14] tedious tasks that AI can do, and you just want to give it to it and automate it. I'm talking about things like meeting notes, right? I use Granola. It's one of the best tools out there, but essentially every meeting is
[02:26] it's added to Notion. It is the easiest thing. The other one is pulling reports, okay? Think about the ability to have dashboards of all the data about your life and your business in one place so you can see if anything's going off, if
[02:41] them, and it's just a really easy thing for you to do and automate. And then the third is to summarize your messages, okay? Think Slack, think email, think with AI that most people have no idea about. And these are just some examples.
[02:57] And I know the dopamine hit of clearing out your inbox and getting to inbox zero can feel awesome, but it's still work, and you don't have to do it. Let's let AI do it. So, for example, this morning, I asked my agent to go check all of my
[03:10] Slack, and tell me the top three things that I need to prioritize today based on my goals. So, it told me I had a YouTube shoot and a reel shoot, so I got to save call to review the podcast that I'll be doing on my San Francisco trip. It also
[03:24] feature that we're adding to our Apex voice system. Now I know exactly what I need to do today without scrolling through the countless messages, without getting distracted, without doing stuff that I don't need to do. So, how do you
[03:37] know when a task belong in the G quadrant? I use what's called the rule of R's. First, is it repetitive? Is it something I have to do at least once a week? Second, is it rules-based? Does the task have the same inputs and
[03:50] outputs every single time? The third is does it generate a return? Does it take me more time to run this whole automation than just do it every time? hours to build something that takes me less than 2 minutes a week to do. So, if
[04:03] repetitive, rule-based, and gives me a return on my time, then I hand it to the AI today. And look, you can use a ton of different AI tools for this quadrant. Some are Some are awesome. So, to help you out, I put together my entire AI
[04:17] tech stack, every tool I use in every business that I own to run a super DM me the word YouTube stack on Instagram and I'll send it right over to with it, you could probably free up a couple hours of your week. Now, we need
[04:30] the real work happens. Quadrant number two, accelerate. I know my handwriting sucks, but just listen to my words, okay? Accelerate. Now, this is where it's hard for humans, but easy for computers. Really
[04:44] complicated processes where you're trying to find a signal in the noise, AI strives at this thing. And the cool part is you can accelerate all that work with AI, where AI buys you back days of work. So, here are just a few things that you
[04:57] can use AI to accelerate with. First off is research. I use this probably the most every day. I have an idea, I go to my AI. I go, "Hey, do some research, think." "Hey, I found this link for this cool idea. Tell me based on what I'm
[05:11] using today, is it helpful? Should I add it?" Do deep research projects around strategic decisions. Look at my life, tell me is there anything I'm missing? The other one is data analysis. If you're starting off as a business owner
[05:23] for data analysis, think about it. You have Facebook ads, you can get it analyzed. You have social media data, get it analyzed. You have contracts, why don't you ask it to go analyze all your legal contracts to see if you signed
[05:35] You shouldn't be spending hours on spreadsheets, especially creating anything from scratch. That is where AI shines. Market breakdowns, like figure what's going on in the market. Every morning, I have multiple prompts that
[05:49] new in the news that tells me all the things I should be paying attention to as an innovator in my space. Your job as a leader is to be able to see around the corner. The news is out there, have the AI go analyze it. When you think of
[06:03] three questions you can ask yourself. One, is it looking for a pattern? Because AI can spot patterns faster than any human. Two, would it take you hours to do manually? Or would you normally hire a really expensive specialist to do
[06:17] this? Think about like visual designers, researchers, consultants. That. Most watch and tell you what time it is. These are the signs that you should accelerate that type of work where you're processing it with AI. I see a
[06:31] because they're like, "I just don't think the output is very good." And I'm like, "Fine, then use my 10 80 10 rule. 10% ideation, the input, the prompt, the innovation, have it do the 80% research, have it go do some of the work, and then
[06:45] where you give it the thing that makes it really awesome. At least the AI took 80% of the work off of your plate. 80% done by somebody else or AI is 100% awesome. So so far, we've been giving AI just the easy stuff. This next quadrant
[07:01] element to the mix. Quadrant number three, integrate with AI. This is where it's like still hard for computers and hard for humans. AI can help you get still be the director. And unfortunately, if you don't have
[07:16] experience or taste, it's actually really hard to get great work out of this. And the truth is is the AI isn't perfect. Did you know if you ask the AI that you're going to go wash your car and the car wash is 50 m away from where
[07:28] take your car or walk, it would actually say you should walk. So right off the bat, it can't be left to do really important creative strategic work on its own. It doesn't have the context, it doesn't have the nuance, and this is
[07:41] where having it help you calibrate makes a lot of sense. AI can generate 2,700 versions of anything, but it still takes a human to look at it and go that feels So, here are some things to integrate with AI. Number one is creative work. I
[07:57] really don't know many people in today's world. I don't care if it's media or ads or brainstorming or design or brand where they're not using AI to come up with illustrations, examples, to help shape the idea, to give them something
[08:12] visual they can look at. Most music today uses AI in some aspect of the production of the beats of the sound. It still takes a human with an ear for what wants to decide how you're going to finalize and shape a song. Next is
[08:27] digital products. This for me is like building out MVPs. Think about the haven't tried building something like an app or an artifact or some kind of visualization, you're missing the opportunity. It still requires taste.
[08:40] the AI can execute. It can write the kind of wild what it can do for you. And the third is strategy. Strategy equals the third is strategy. Strategy equals sequencing. AI can suggest options, but
[08:54] preference. know other people's psychology. It doesn't understand the situation, the landscape of your world. So, it can give you ideas, but you still partnering with AI to give you those options, huge opportunity. For example,
[09:09] my book Buy Back Your Time, I asked the AI go through my book, pull out the could look at. The first version was fugly. I couldn't believe that it would design these diagrams this way, that the workbook was laid out that way, but it
[09:23] at least gave me something to work with that I could prompt and change and to a place where I'm like, yes, this looks good. Give it to my designer. He completed workbook. The The idea is AI
[09:36] strategic work. So, how do you know if a task belongs in this quadrant? There's three checks. One, does it require taste? Your personal opinion. AI can generate emails, but it still requires you to pick the right one. Two, does it
[09:51] require vision? This is the strategy, this is the sequencing. The AI can execute, but it still needs to be told do it in this sequence. That's why most developers build apps in plan mode. It shows them what the plan is, then you
[10:05] can change the plan, the sequence. It gives you options. The human still decides the sequence or the phases it's going to build in, then the AI can build it. And last, does it require care? AI can help you draft messages, but you may
[10:19] be the person that needs to deliver it because humans still want to hear from other humans. How many times have you been really pissed and you want to send So, you sit there and you work with AI to help it craft you 17 different
[10:32] variations. Am I the only one? Just me. And then finally you find one know the person's going to receive and you're like, "Oh my gosh, crisis averted." That's this box. I don't think AI replaces humans, it actually takes
[10:47] us apart. So, if you answered yes to any of these, integrate it with AI. So, you've handed AI the easy stuff, that's the give. Then you gave it the stuff to accelerate, things that take you a lot of time, but it can do it really easily.
[11:00] integrated, so we start collaborating with it on some pretty creative work. Now, this last quadrant is where you want to spend all of your time. Quadrant number four is no AI. These are the things that are easy for
[11:13] humans and wildly hard for computers. These are the moments that need your presence, not a prompt. I don't believe business is B2B, I think business is H2H, human to human. And like I said, the more we can give AI to do the stuff
[11:27] human, the better the human experience is. No AI is actually the quadrant that makes you a weapon irreplaceable. Now, taste, vision, care don't just guide the action, they are the center of it. So, here are some things I think you should
[11:42] never outsource to AI. One, leadership. People don't follow computers. They follow people. People inspire them. If you're a leader, by definition, it means you have followers. I've never met
[11:56] followers of an AI. Now, there might be some weird people out there, but we'll opportunity to show up for people, to believe in them, to communicate, to invest in them, to build the people, that is a very human thing to do, not an
[12:09] AI thing to do. Number two is kind of like persuasion. I think that there are certain situations when you're doing certain negotiations that you need a business development, we're talking partnerships. Yes, you can use computers
[12:22] for a lot of sales processes, but I'm a big fan It's like if it's important to your business, you show up. You look at them in the eye. You sit knee-to-knee. When you're negotiating with somebody, that human part is what matters. Number
[12:36] three is coaching, right? It's different than training, and it's different than just learning. Coaching means you sit down and you help guide somebody to build the people and the people build the business. The best way to do that is
[12:48] to coach. Have them come into your work and shadow you. And number four is networking. This is where you go out and you talk to people. Hand to hand, voice to voice. And you build relationships with them.
[13:01] You find ways to add value. Most people's value is in their network. Your network equals your net worth. Nobody's going to trust their relationships with an AI. They'll trust you with it because if you're somebody that adds value, they
[13:14] you're going to add value to their life. Not your AI, not your email response, not your templates. They want to talk to you. And this quadrant right here comes down to one question. Does this revolve around your humanity? If a
[13:29] human is on the other end and they need to feel you, not a machine, then it's no AI. Me on stage is way different than you watching a video of me on stage. You
[13:41] different than you just watching this video. That is where no AI comes into play. So, there's four quadrants we got to give to AI, we got to accelerate with AI, we got to integrate into our life and then there's no AI. And any task on
[13:55] quadrants. Because here's the big idea. AI is reshaping every industry, every job, every business. There's a thing called the GDP valve that actually shows you where AI is affecting what jobs at what percentages and how it's going to
[14:10] continue to evolve. There's just no future where the AI models don't get things for you. Learning this and working your way up to no AI, where you're the most in vision, the most
[14:22] taste, the most care, that's where you compete. So, drop a comment below and let me know what's the thing you would love to be doing more of that AI can't help you with. Because that is your focus and everything else,
[14:34] let's give it to AI. And remember, I put together an entire AI tech stack, every dollar business. If you want it, just find me on Instagram and message me >> [music] >> And if you want to see why I'm going all
[14:47] in on AI this year, click here and I'll see you on the other side.