AI is not a future trend. It is already reshaping how businesses operate, scale, and compete. Most companies believe they are “using AI” because they experiment with tools or automate small tasks. That belief is exactly why they are unprepared.
We are entering a new era where leverage matters more than headcount, direction matters more than effort, and distribution matters more than product complexity. Founders who understand these shifts early will create disproportionate outcomes, while those who delay will struggle to keep up.
Key Takeaways
AI replaces headcount with leverage, not just efficiency
Founders must shift from doing work to directing outcomes
Data is becoming the most powerful competitive moat
Back-office functions are rapidly becoming autonomous
Distribution now matters more than product development
Table of Contents
AI Company Operating System
Trying random AI hacks without real results? Download a complete AI operating system that shows you how to roll out AI across every department so your team gets leverage, clarity, and consistent outputs without hiring or getting technical.
Shift 1: From Org Charts to Leverage Charts
Traditional businesses are built around org charts. Each department grows by adding people, and problems are solved by hiring more staff. That model is breaking.
The AI-first company is built on leverage charts instead.
Instead of asking “Who should we hire?”, leaders must ask “What system can we build to create leverage?”
In a leverage-based organization:
One person owns a clear outcome
AI agents, automations, and workflows do the execution
Results scale without linear headcount growth
A single closer supported by AI can now do the work of an entire sales team. AI can qualify leads, run outbound, manage calendars, personalize emails, and handle follow-ups automatically.
The result is fewer people, higher output, and dramatically lower operational drag.
Real-world applications include:
AI-powered SDR systems that qualify and book sales calls
Marketing engines that identify, create, and distribute content automatically
AI operations roles focused on removing friction across teams
This shift alone changes how companies scale.
AI does not blow people’s minds because they do not know how to direct it.
Shift 2: From Doer to Director
One of the biggest reasons AI fails inside companies is not technology. It is mindset.
Most founders and team members are still operating as doers. They spend the majority of their time executing tasks instead of directing systems.
AI flips this entirely.
In the new model:
Humans define direction, standards, and constraints
AI executes the work
Teams focus on possibility, creativity, and outcomes
High-performing teams now spend most of their time:
Designing workflows
Setting priorities
Refining prompts and systems
Evaluating outputs and improving direction
This shift is critical. Companies that remain task-focused will be replaced by companies that learn to direct AI at scale.
Shift 3: From Feature-Based Moats to Data Moats
For decades, businesses competed on features. Build faster, ship more, and hope competitors lag behind.
AI has destroyed that advantage.
Features can now be replicated instantly. The real moat is data.
A data moat is created when a business:
Collects high-quality customer data
Uses AI to learn from every interaction
Continuously improves delivery based on real usage
AI systems get better the more they are used. Businesses must work the same way.
To build a data moat:
Clean and centralize customer data
Feed AI accurate, structured inputs
Use AI to identify bottlenecks and opportunities
Create feedback loops that improve outcomes automatically
Companies that treat data as infrastructure will dominate their categories.
Shift 4: The Autonomous Back Office
Finance, HR, and legal used to require full teams. Today, those functions are rapidly becoming autonomous.
AI-driven back offices operate through rules, policies, and workflows instead of people waiting in queues.
Examples include:
AI financial systems that monitor margins, spending, and risk in real time
AI agents that review contracts instantly
HR systems that manage hiring rules, onboarding, and compliance automatically
AI handles repeatable work. Humans step in only when judgment or nuance is required.
This shift eliminates bottlenecks, speeds up decisions, and removes operational friction that slows growth.
Shift 5: From Development Advantage to Distribution Advantage
In the past, winning meant having the best engineers and the biggest development team. AI has changed that forever.
Today, anyone can build.
The advantage now lies in distribution.
AI is the first technology coded in natural language, which means anyone can create software. What matters is not who builds the product, but who can reach the market.
Winning businesses now focus on:
Owning an audience through content, email, or community
Attaching a clear brand to a specific problem
Pre-selling before building to reduce risk
Partnering with people who already have distribution
Distribution is no longer optional. It is the foundation of modern business value.
AI will not take your job, but somebody using AI will.
Conclusion
AI is not just another productivity tool. It is a complete rewrite of how businesses scale, compete, and create value.
The companies that win will not be the ones experimenting casually with AI. They will be the ones restructuring their entire business around leverage, data, automation, and distribution.
Those who adapt early will build faster, leaner, and more resilient businesses. Those who delay will find themselves competing against teams that move ten times faster with a fraction of the resources.
AI is changing business forever. The only real decision left is whether to lead the shift or react to it.
Frequently Asked Questions
How will AI change business operations?
AI will replace manual processes with automated systems, reduce headcount needs, and increase leverage across sales, marketing, operations, and finance.
What businesses benefit most from AI?
Service businesses, SaaS companies, agencies, and productized services benefit most because AI scales execution without increasing costs.
Do small businesses need AI?
Yes. AI allows small teams to compete with much larger companies by removing operational bottlenecks and increasing output per person.
Is AI replacing employees?
AI replaces tasks, not people. The real shift is removing work humans do not want to do so they can focus on leadership, creativity, and strategy.
How should founders start using AI?
Founders should identify their biggest bottleneck, automate that constraint first, and build systems before hiring more people.
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Full Transcript
AI is About to Change Business Forever (and nobody even realizes)
https://www.youtube.com/watch/1KXOclwOXRE
00:00:00.160 AI is about to change business forever
00:00:02.480 and nobody realizes it’s coming. We’re
00:00:04.640 entering a brand new era. Now, the good
00:00:06.640 news is there are a bunch of new ways to
00:00:08.400 win that weren’t even possible before.
00:00:10.240 So, in this video, I’m going to walk you
00:00:11.840 through the five shifts that I see
00:00:13.599 coming over the next few years. And I’ll
00:00:15.360 break down both the strategy and the
00:00:17.520 exact tactic that you can use to take
00:00:19.600 advantage of these shifts. I know this
00:00:21.199 cuz I spend all day looking at cutting
00:00:23.119 edge AI and automation. I’m actually
00:00:25.199 currently launching a new AI company
00:00:27.439 every single month in my AI incubator,
00:00:29.679 Martell Ventures, and I’m starting to
00:00:31.199 see trends and patterns that aren’t
00:00:32.960 obvious to the average person. So, let’s
00:00:34.800 get into it. The first shift I see
00:00:36.399 coming is moving from org charts to
00:00:38.320 leverage charts. The old world was
00:00:40.239 having departments plus people, and you
00:00:42.399 had structure and hierarchy, and people
00:00:44.399 when there were problems, they just
00:00:45.600 threw bodies at them. The new world is
00:00:48.239 completely different where one person
00:00:50.399 owns a specific outcome of that
00:00:52.640 department. let’s say finance and then
00:00:54.800 use AI and all the different tools from
00:00:57.039 agents to automations to robotics to get
00:00:59.359 the results for the team. We got to stop
00:01:02.160 asking who do I hire and instead start
00:01:04.879 asking what can we build to add more
00:01:07.119 leverage. So I’m going to give you two
00:01:09.280 very tactical ways to apply this to your
00:01:11.680 business. The first one is in sales. The
00:01:14.240 days of needing 12 plus people to build
00:01:16.799 a sales team are gone. Now with one
00:01:19.759 closer and then using AI to give that
00:01:22.880 closer leverage, that person can do the
00:01:25.439 job of 10 people. For example, the
00:01:27.439 infinite SDR role essentially sales
00:01:29.439 development rep can do outbound for that
00:01:31.520 sales rep, can qualify inbound, can take
00:01:33.840 phone calls, can personalize emails, can
00:01:36.159 rearrange the calendar. The whole thing
00:01:37.920 is automated through AI massive leverage
00:01:41.280 using the calendar. So the sales rep’s
00:01:43.200 only talking to people that are actually
00:01:44.960 going to buy. The second one is
00:01:46.479 marketing. Think about it like your job
00:01:48.320 is to get awareness or interest for your
00:01:50.479 business. But the days of like hamster
00:01:52.720 wheel marketing and trying to just do a
00:01:54.560 bunch of tasks are gone. Now you can
00:01:56.640 actually use AI to identify what content
00:01:58.799 you should be creating. It can create
00:02:00.479 the outlines for you to create. It can
00:02:02.479 generate the emails, the copy, the
00:02:05.439 campaigns, the whole thing. All done for
00:02:08.560 you automatically. The best part, better
00:02:11.360 than you or your team could have ever
00:02:13.040 done. Why? cuz it’s looked at all the
00:02:15.520 information from the top people in the
00:02:17.599 world to curate it and personalize it
00:02:19.840 just for you to speak to your ideal
00:02:21.680 customer. It is wild. If you want a next
00:02:24.640 level hack in the future, instead of
00:02:26.640 hiring IT people to do like software
00:02:28.879 tech and workflow stuff, you’re just
00:02:30.879 going to hire an AI ops person. We have
00:02:33.120 this person in every one of my
00:02:34.400 companies. Their focus is making sure
00:02:36.239 that the team is getting so much time
00:02:38.480 back, getting rid of busy work, not
00:02:40.400 working on jobs, but actually directing,
00:02:42.239 which is my next point. That’s where
00:02:43.760 you’re going to get massive leverage for
00:02:45.120 that hire. Get away from the people.
00:02:47.360 Start looking at the AI process. And on
00:02:49.599 that note, if you want my internal AI
00:02:52.000 company operating system that walks you
00:02:54.239 through exactly how I implement AI in
00:02:56.560 every department, just click the link
00:02:58.080 below and I’ll send you a full detailed
00:02:59.680 document. The second shift I see coming
00:03:01.920 is going from doer to director. The
00:03:05.040 reason AI doesn’t blow people’s minds to
00:03:07.200 the level it should is because they
00:03:08.640 don’t know how to use it. They don’t
00:03:10.000 know how to direct it. They don’t know
00:03:11.519 how to craft it. In the old world, you
00:03:13.680 spent only about 10% of your time
00:03:15.920 talking with team about like vision and
00:03:18.000 creative solutions and ideas and kind of
00:03:20.959 like pushing the art form and then 90%
00:03:23.280 of your time sitting there doing the
00:03:24.879 work. Think about it for my executive
00:03:26.239 assistant. She used to spend 90% of her
00:03:28.560 time just processing my inbox and adding
00:03:31.120 stuff to the calendar and coordinating
00:03:32.720 things with other people and doing
00:03:33.920 massive research projects. Now, in this
00:03:36.000 new world, it’s flipped. 80 90% of my
00:03:39.440 team’s time is on directing. is trying
00:03:42.159 to understand what is freaking possible.
00:03:44.799 When you look at the automations, the
00:03:46.799 agents, the connectors, these things are
00:03:49.680 taking care of the last mile of actually
00:03:52.080 executing and booking stuff and
00:03:53.680 coordinating things, not just the
00:03:55.519 creative output. That new world is
00:03:57.920 changing the way you work with your
00:03:59.519 team. I have friends today that have
00:04:01.920 hundreds of people that work for them at
00:04:03.200 a call center. Those jobs are going the
00:04:05.200 way. If you haven’t seen figure two, the
00:04:07.760 robot that sits there at the UPS store,
00:04:10.000 sorts through packages, flattens it for
00:04:11.920 the scanning, that’s today. Actually,
00:04:13.519 that’s six months ago. The future is
00:04:16.000 being a director of what’s possible, not
00:04:18.079 doing the actual work. And those
00:04:20.000 companies are going to be massively
00:04:21.199 disrupted. If you want to adapt in this
00:04:23.680 new world to go from like doer to
00:04:25.520 director, you have to look at your whole
00:04:27.919 business through the lens of a director.
00:04:30.240 Think about a movie director. How does
00:04:31.840 he look at the thing he’s creating? Get
00:04:34.160 the players involved. the resources, the
00:04:36.160 set designs, the actors. He’s designing
00:04:39.199 the world that that movie gets played
00:04:41.199 in. Your business is no different. And
00:04:43.199 being a director is how we compete in
00:04:44.880 the new world. The third shift I see
00:04:47.120 coming is going from feature-based modes
00:04:49.440 to database modes. A moat essentially
00:04:52.080 protects you. Think of a castle in the
00:04:54.000 middle of a field. It’s got a moat
00:04:55.759 around it because it needs to protect
00:04:57.520 itself from the bad guys coming in to
00:04:59.280 try to take the castle. Just like the
00:05:00.880 water around the castle is your moat,
00:05:02.800 the future is data. In the old world,
00:05:05.360 you would compete on features. You would
00:05:07.120 launch something, your competitor would
00:05:08.400 have three to six months to copy you,
00:05:10.000 and that was the rat race that you got
00:05:11.840 stuck into. The future, since the AI can
00:05:15.280 actually build the features faster than
00:05:16.880 you could ever think of them, is that
00:05:18.479 the proprietary data of how you do your
00:05:21.600 business or what you collect about your
00:05:23.280 customer and using that to inform the
00:05:25.600 AI, to learn faster, to create feedback
00:05:27.919 loops. That is the competitive
00:05:30.080 advantage. It’s not about what you
00:05:32.000 deliver the features. It’s about how you
00:05:34.000 deliver it so that your customer can
00:05:36.080 trust that you’re the innovator in the
00:05:37.680 space. I don’t know if you’ve noticed
00:05:39.120 this, but chat GBT5 gets better the more
00:05:42.080 you use it. What it’s realized is that
00:05:44.400 if we collect the information, the
00:05:46.320 memory, the preferences of the person
00:05:48.320 who’s chatting with it and use that as
00:05:50.800 an injection to the future prompts, the
00:05:53.440 outputs are so freaking good. Your
00:05:55.919 business needs to do the same thing. As
00:05:58.160 customers interact with you, you need to
00:06:00.160 collect those preferences. You have to
00:06:01.759 save them. For example, my buddy Matt,
00:06:03.600 he built a whole company around this.
00:06:05.120 It’s called precision.co. And what you
00:06:07.120 do is you plug in your different data
00:06:08.720 sets, your Stripe account, your
00:06:10.160 marketing, your CRM, your sales data,
00:06:12.400 and then it looks at your data plus the
00:06:14.800 benchmarks in your industry, makes a
00:06:17.199 list of priorities based on the theory
00:06:19.120 of constraints, and then tells you
00:06:21.120 exactly what projects to go execute with
00:06:23.520 your team to unlock the bottlenecks in
00:06:26.080 your business. It’s changing everything
00:06:27.680 in regards to intelligent business
00:06:29.840 analysis. So this is exactly how you
00:06:32.479 build a database moat in three steps.
00:06:34.880 The first one is you have to clean up
00:06:36.400 all your data. Essentially garbage in
00:06:38.800 garbage out. If you don’t sit down and
00:06:40.720 start making sure that all your customer
00:06:43.199 data is clean, there’s no duplicates,
00:06:45.120 it’s accurate, then you can’t feed that
00:06:47.280 to the AI. The worst thing is having no
00:06:49.840 data. The second worst thing is having
00:06:51.360 bad data. Next, you have to use AI to
00:06:53.840 analyze your data and make correlations.
00:06:56.080 In one of my companies, I have a process
00:06:57.840 where people submit an intake form to
00:07:00.400 then drive the experience for the
00:07:02.720 customer. So, we take all the data they
00:07:04.720 gave us to design a custom onboarding
00:07:07.520 experience based on what they told us,
00:07:09.039 based on who they are, based on all the
00:07:10.400 public data, so that when they come in,
00:07:12.319 they think, “Oh my gosh, how did they do
00:07:14.240 this so quick?” AI. And last, but not
00:07:17.039 least, you have to have AI suggest next
00:07:19.280 steps you should take in your business
00:07:20.800 to fix the current bottleneck. The cool
00:07:22.560 part about what I’m sharing with you is
00:07:23.919 you can use AI to analyze your situation
00:07:27.039 to figure out what you need to work on
00:07:28.560 to tell you what are the next steps for
00:07:30.479 you to build a data mode around your
00:07:32.240 business. Real datadriven decisions is
00:07:34.319 how you compete in the world. In a world
00:07:36.160 where information is literally a
00:07:38.160 commodity and never more so than now,
00:07:40.479 the ultimate advantage is data. Shift
00:07:43.360 number four, the autonomous back office.
00:07:46.160 In the old world, you had finance and HR
00:07:48.960 and legal as full-time positions. In the
00:07:52.000 new world, they’re AI. They’re literally
00:07:54.800 policydriven agents that take the
00:07:57.919 requests, execute the work, close the
00:08:00.879 loop, reply to everybody on your team
00:08:03.440 with no bottlenecks. In the past, when I
00:08:05.440 sent a contract over to my legal
00:08:06.720 department, I had to wait until that
00:08:08.000 person had the time to review it to give
00:08:09.280 me the red lines. Now, I have an AI
00:08:11.440 agent that does it for me in real time.
00:08:13.599 If you want to do this for yourself, and
00:08:14.879 we can use finance as an example, it’s
00:08:16.720 pretty simple. First, you got to connect
00:08:18.560 all your financial data as much context
00:08:20.800 as you can give the AI so that it knows
00:08:23.039 about your situation. So, there’s a tool
00:08:24.800 like HelloFrank.AI that’s a financial
00:08:27.199 analysis where you just connect your
00:08:29.120 financial systems and all tools and it
00:08:30.960 will do all this heavy lifting for you.
00:08:32.640 So, you don’t need to know how to write
00:08:33.760 the system prompts and then it runs in
00:08:35.760 the background monitoring, auditing,
00:08:37.839 giving you reports in real time. And
00:08:39.599 then next, you have to let leaders audit
00:08:42.159 for exceptions. So, it’s not that the AI
00:08:44.240 will do it automatically and nobody
00:08:46.080 checks it. is that it’ll do 98% of it
00:08:49.120 and then leaders still look at it to
00:08:50.800 troubleshoot it to make sure it didn’t
00:08:52.080 hallucinate because AI will do that and
00:08:54.399 then everything else closes itself. So
00:08:56.880 here’s a quick hack for you to like
00:08:58.399 implement this into your business today.
00:09:00.080 You need to use some kind of automation
00:09:01.519 tool like make or zap year or something
00:09:03.519 like that but essentially you codify the
00:09:06.560 rules within your business. So, if it’s
00:09:08.320 HR and recruiting, write down all the
00:09:10.880 rules about what the person needs to
00:09:12.640 look like and how you should hire them
00:09:14.160 and all the processes and you do that as
00:09:16.480 a system prompt. I actually have a
00:09:18.480 complete training on how you can do
00:09:19.600 that. I’ll link it below in description.
00:09:20.880 That’s my chat GPT master class that
00:09:22.880 goes into this and a bunch of other cool
00:09:24.560 things. The way I think about it is
00:09:25.839 this. Exceptions deserve people.
00:09:28.560 Patterns deserve code. Repeatable,
00:09:31.120 scalable systems. The last shift I see
00:09:34.000 coming is going from development
00:09:35.680 advantage to distribution advantage.
00:09:38.240 See, the old world was about building
00:09:40.560 the biggest development teams, the
00:09:42.399 smartest people, coding stuff. Today,
00:09:45.120 it’s about distribution. The doing of
00:09:47.680 the business is no longer hard. You’re
00:09:49.680 like, “Oh, I’ve got 17 years experience
00:09:51.440 in this industry.” Nobody gives a Well,
00:09:53.680 I know how to code really advanced
00:09:55.440 algorithms. Nobody gives a All of these
00:09:57.600 things are now done by 12-year-olds
00:10:00.160 using AI. The other day I saw an ad by a
00:10:03.120 product called Lovable where it had a
00:10:05.360 kid in the ad build an app and deploy it
00:10:08.800 and start monetizing it. It took
00:10:10.800 everything, the database, the interface,
00:10:12.959 the whole workflow and logic.
00:10:14.720 I guess I’m an engineer now.
00:10:17.519 Sure.
00:10:18.160 And the cool part is he built it all
00:10:19.920 through voice. He talked it. He didn’t
00:10:22.240 type anything. See, AI is the first
00:10:24.560 technology that’s coded in English,
00:10:27.200 which makes it available to every human
00:10:29.120 on Earth. That is completely different.
00:10:31.360 It’s why I built Martell Ventures on the
00:10:33.200 back of my personal brand. See, I’ve
00:10:34.959 partnered to build AI tools with some of
00:10:36.959 the smartest CEOs in my network and
00:10:39.200 launch them through audiences like
00:10:40.959 YouTube, my email list, my online
00:10:43.120 community, and other partners all around
00:10:45.200 the world. See, these tools are
00:10:47.279 worldclass. They’re the best of the
00:10:49.279 best. It’s what I use inside my
00:10:50.959 companies. But what really moves the
00:10:53.040 valuation of those business is access to
00:10:55.920 distribution. people buying eyeballs on
00:10:59.120 those tools, not the code. This is a
00:11:01.920 three-step example of how I do this
00:11:04.240 myself at Martell Ventures that you can
00:11:06.240 copy and paste. First, we need to build
00:11:08.640 distribution into the business model.
00:11:10.959 Just pick a lane. I don’t care if it’s
00:11:12.800 organic content, ads, partnerships, but
00:11:15.760 you got to grow one own channel, you
00:11:18.320 know, email, SMS, community every
00:11:21.040 freaking week. Next, we have to attach a
00:11:23.360 brand to a clear problem. If you don’t
00:11:25.680 identify the ideal customer profile,
00:11:27.680 their specific pain and make a massive
00:11:30.240 clear promise essentially like in 72
00:11:33.120 hours you’ll get X result then the
00:11:35.360 person doesn’t know how you can help
00:11:37.200 them. So you have to make your story
00:11:39.360 about the outcome, not the features. And
00:11:42.399 the last is you got to pre-ell the tool
00:11:44.720 before you stop and invest a ton of
00:11:47.279 money and time into getting the product
00:11:49.760 live. you can actually pre-ell it to the
00:11:52.720 customers that you want to talk to. That
00:11:54.800 process that seems hard, well, how do I
00:11:57.040 get in front of them is the problem you
00:11:58.560 got to solve if you have the product.
00:12:00.079 So, just flip it. Start by pre-elling it
00:12:02.880 even if it’s not ready so that you can
00:12:04.959 get the revenue to fund the development.
00:12:07.360 This is how crowdfunding has worked.
00:12:09.040 It’s literally a multi-billion dollar
00:12:10.480 market. This is how a lot of companies
00:12:12.240 you use today started by going and
00:12:14.560 getting the customer commitments then
00:12:16.240 delivering on the product and it
00:12:17.920 actually derisk the business so that
00:12:19.760 it’s a better business model and it’s
00:12:21.279 why I do it every time. Now if you want
00:12:22.880 to hack the best way to get distribution
00:12:25.360 is to find somebody a partner that
00:12:27.440 already has that audience built in.
00:12:29.279 Think about it. They could have spent
00:12:30.639 the last 10 years building their email
00:12:32.880 list, their brand, their audience, their
00:12:34.800 social media, and you come in with a
00:12:37.040 great product or service and you partner
00:12:38.720 with them and give them a piece of that
00:12:40.320 revenue for them to promote it to their
00:12:42.399 audience. Think of every online creator
00:12:44.480 right now that does brand deals. They’ve
00:12:46.320 built the audience, they do a brand deal
00:12:47.920 with a product, they promote the
00:12:49.600 product, the brand wins, the creator
00:12:51.120 wins. Just do it for yourself. If you
00:12:53.200 don’t have a brand, invest there first.
00:12:54.959 But if you have a product, go find
00:12:56.480 somebody with a brand and partner with
00:12:58.160 them. Here’s the deal. When anyone can
00:13:00.560 build, the edge is who can reach. If
00:13:04.079 you’re skeptical, you don’t think you’re
00:13:06.160 technical, you think this is beyond your
00:13:08.000 means, I get it. If you’re worried about
00:13:09.839 replacing people that you’ve had on your
00:13:11.279 team for a long time that you really
00:13:12.560 care about, I get that, too. See, I
00:13:14.959 don’t think it’s about removing parts of
00:13:17.360 a job that somebody is doing or removing
00:13:20.399 people. I think it’s getting rid of they
00:13:22.560 don’t want to do. When I think about
00:13:24.800 what AI is going to have a hard time
00:13:26.320 disrupting, things like vision, taste,
00:13:29.120 what’s good, caring about people, if
00:13:32.079 anything, these tools are going to give
00:13:34.560 us the time to focus on the things that
00:13:37.200 it can’t disrupt. The humanity of it
00:13:40.000 that’s going to allow your team to feel
00:13:41.519 like artists and creators and get more
00:13:43.920 done and make more money. And
00:13:45.440 unfortunately, if you decide not to do
00:13:47.279 it, somebody will do it to you. So don’t
00:13:49.519 sit on this. See, AI won’t take your
00:13:52.240 job, but somebody using AI will. As a
00:13:55.839 reminder, if you want my internal copy
00:13:57.839 of how I’ve implemented AI into every
00:14:00.399 business to get massive results,
00:14:02.399 revenue, productivity, decrease the
00:14:04.560 amount of time it takes to deploy
00:14:06.079 results in your business, click the link
00:14:08.160 below. It’s the first link in the
00:14:09.519 description and I’ll send it over. It’s
00:14:11.360 short, concise, and it’s going to get
00:14:12.800 you wins right away. Now, if you want to
00:14:14.639 learn how to get ahead of 99% of the
00:14:16.639 people using AI, like I said, it’s a
00:14:18.480 masterclass. Chad GPT.