Latest / The Empire of Wealth / You_re Using AI Wrong

Transcript

You_re Using AI Wrong · The Empire of Wealth

• 0:00
  Speaker 1: Every technological shift creates a massive opportunity for anyone that
• 0:04
  embraces it early. And AI represents the biggest shift we've
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  ever seen. PCs gave us Bill Gates. The internet boom
• 0:11
  created Jeff Bezos. The mobile revolution made Mark Zuckerberg. The
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  next wave of billionaires will emerge from AI. And that's
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  exactly where your opportunity lies. In this video, I'm going
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  to expose the four lies you're telling yourself about AI
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  that are keeping you poor and reveal the exact principles
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  that separate those building generational wealth from those who merely
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  read about it in the history books. Because while you're
• 0:35
  waiting for the perfect moment to get started, there's a
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  kid in a dorm room somewhere who just learned how
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  to build a website with a single prompt and is
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  already making $ 10, 000 a month.
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  Speaker 2: Lie number one.
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  Speaker 1: I need to wait until AI gets better. Here's what
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  everyone gets catastrophically wrong. The money isn't made when technology
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  is perfect. It's made when the technology is messy. My
• 0:57
  first real business success came from running Instagram pages and
• 1:00
  selling advertising on them.
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  Speaker 2: I would grow pages.
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  Speaker 1: To 300,000 followers and sell them for like $ 30, 000. This
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  was back when Instagram was a disaster to monetize. You
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  could only log into one account at a time. If
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  you logged into too many accounts on one phone, you
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  would basically get banned. Nobody even knew if selling Instagrams
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  or selling Instagram shoutouts was legal. Pages were getting nuked left,
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  right and center for even trying. The only way to
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  grow was through shout for shout exchanges with other pages.
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  Speaker 2: It was just messy. So what did I do?
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  Speaker 1: I woke up at 5am every single morning when the
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  US was most active. I had eight phones lined up
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  on my desk, like some kind of social media command center.
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  The friction was insane, juggling logins, tracking exchanges, dodging bans.
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  But that friction, that was my moat. That chaos was
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  worth thousands to me because while everyone else waited for
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  Instagram to figure it out, I was already there building
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  the distribution.
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  Speaker 2: Right now with AI, it's the same chaos.
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  Speaker 1: Custom GPTs break every other week. Claude hallucinates and just
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  makes up random stories. Mid-journey, it won't even generate hands properly.
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  You need three different subscriptions to just build one of
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  these workflows. But while everyone is waiting for the all-in-one solution,
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  people are just stacking these broken tools together and printing money.
• 2:17
  I met someone at an event who uses four different
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  AI tools just to create one YouTube short. He said
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  that the transcriptions break all the time, the captions need
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  manual fixes all the time, but he's still able to
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  generate 300 videos a month. He then uses this to
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  push supplements using affiliate links and clears six figures. You see,
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  every technological gold rush follows what's called an ESCO. It's slow,
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  painful innovation, then violent growth, then boring standardization. We're currently
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  in that violent growth phase right now with AI. When
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  the playbooks stabilize and everyone has a certified AI strategy,
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  the returns compress to nothing. The people who made fortunes
• 2:56
  on Amazon FBA didn't wait for one-click automation in 2020.
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  They were there in 2014 when you had to manually
• 3:03
  calculate everything on spreadsheets. The TikTok millionaires didn't wait for
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  the algorithm to be fair. They posted while everyone was
• 3:10
  complaining about Chinese spyware. Friction isn't a bug. It's the
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  price of admission to extraordinary results. This brings us to
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  our second line. And this one's even more dangerous than
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  the first. It's that people actually care that you're using AI.
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  My early freelancing days taught me this next lesson brutally.
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  I'd walk into local businesses that have never touched digital
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  marketing and I'd pitch them. We can run Facebook ads
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  that use sophisticated algorithms to micro-target your ideal customer based
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  on data. Their eyes would literally glaze over like I
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  was speaking Mandarin. Then I would also explain we need
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  emotionally engaging content optimized to convert and I would just
• 3:47
  get more blank stares. But when I changed my pitch
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  to something simple, which is, I'll turn every dollar you
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  give me into $ 3 in revenue. Guess what suddenly happened?
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  Everyone said yes. When the money started flowing, they didn't
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  care if it was Facebook's algorithm or literal magic making
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  it happen. People also don't care that it's AI. They
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  care about results. Nobody wakes up wanting GPT-4 with extended
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  context windows. They wake up wanting more customers better margin
• 4:17
  and their weekends back. AI is just the plumbing, powerful plumbing,
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  but plumbing nonetheless. The freelance designers crushing it right now
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  aren't selling AI powered design. They're selling complete brand packages
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  delivered in 48 hours for half the usual price.
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  Speaker 2: The fact that they.
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  Speaker 1: Are using AI to generate 40 concepts in minutes instead
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  of four hours, that's the backstage magic the client never
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  needs to see.
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  Speaker 2: Build the bridge, not the blueprint.
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  Speaker 1: Define the painful before state Slow, expensive, chaotic? Paint the
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  delightful after-state. Fast, affordable, systematic. Then become the bridge between them.
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  Back in 1907, Henry Ford didn't sell interchangeable parts manufacturing.
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  He sold a car for the common man. The assembly
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  line was just how he delivered it. Just like AI
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  is for you. Which leads us directly to our third line.
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  And this one's costing people millions. Lie number three, I
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  can do everything with chat GPT. Before McDonald's became the
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  world's biggest franchise, it almost didn't exist. The two brothers
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  Dick and Matt actually shut down their profitable restaurants for
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  three months, not to rebuild the building, but to reinvent
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  the entire system.
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  Speaker 2: They were asking themselves, why the hell.
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  Speaker 1: Does it take 30 minutes to make a burger and
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  cost a customer a fortune? They ended up creating what
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  they call the speedy service system, essentially turning their kitchen
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  into an assembly line using this one.
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  Speaker 2: Key truth that also help you with AI.
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  Speaker 1: Instead of one cook making entire meals, they had one specialist,
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  one person only that grilled patties, another only dressed buns,
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  another only worked the fryer. They cut their menu from
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  25 items to nine. They eliminated plates and silverware.
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  Speaker 2: And the result? was the burgers went.
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  Speaker 1: From 30 cents to 15 cents, and wait time dropped
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  from 30 minutes to 30 seconds, and then lines stretched
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  around the block. When Ray Kroc franchised their system, McDonald's
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  sold 100 million burgers in their first decade, and today
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  they serve 69 million people daily across 40,000 locations. All
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  because two brothers understood that specialization beats generalization every single time.
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  And you're making the same mistake with AI that those
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  old drive-in diners made with cooking, trying to do everything
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  with one tool. ChatGPT can write emails, create scripts, code websites,
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  and plan your wedding, but a butter knife can also
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  cut steak.
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  Speaker 2: Doesn't mean that you should use it.
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  Speaker 1: Here's the exact toolchain framework that's printing money right now
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  for me. I use Whisper for transcription, Chord for script
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  writing or coding, ChatGPT for deep research, 11Labs for voice,
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  VO3 for video editing, and Higgs field for image generation.
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  I also use something like Gemini for YouTube analysis because
• 7:00
  they've got access to all that data. Then finally, I'll
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  use something like N8n to automate.
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  Speaker 2: All the workflows.
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  Speaker 1: You see, specialization is leverage disguised as limitation. The winners
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  in this space aren't using one AI for everything. They're
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  building these specialized stacks and tying it all together with
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  something like N8n to automate the workflows. Similar to how
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  McDonald's didn't make their workers better at everything, they made
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  them perfect at the one thing. You're the conductor, not
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  the orchestra. Lie number four, AI makes everything faster.
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  Speaker 2: So I have a confession.
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  Speaker 1: I actually wrote this entire script using AI, but here's
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  the twist. It took me five days to perfect the
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  prompting sequence.
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  Speaker 2: 11 steps, multiple iterations, research loops, story distillation.
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  Speaker 1: I could have manually written five scripts in that time,
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  making AI on the surface look not ready as it's
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  just too slow. But let me be brutally honest about
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  what using AI actually looks like. The first week, your
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  prompts are gonna suck. The output is generic garbage. You're
• 8:00
  copying YouTube tutorials that just don't work. The second week,
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  you're probably chaining four different tools together. None of them
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  work together, and you're copying and pasting like a maniac
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  trying to figure out where the automation is actually broken.
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  Then the third week, well, this is actually where most
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  people quit. They go back to the old way because
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  it's faster. But here's what they actually miss. After the
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  third week of obsession, something clicks. Your prompt library is dialed.
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  Your workflows are automatic. Your context windows are preloaded with
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  your voice, your style, your frameworks. Now that can be
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  painful building that system, but now you can generate infinite variations,
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  test different angles and scale beyond what any human could produce.
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  Then something really magical happens. AI doesn't just become faster.
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  It becomes what we call parallel. Sure, it's cool being
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  able to write 10 blog posts quickly, but it's cooler
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  being able to write 10 simultaneously. each targeting different angles,
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  then testing all of them the next day. But that
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  only happens after you've eaten glass for weeks, building the system.
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  Let's say you're doing affiliate marketing.
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  Speaker 2: Instead of writing one review, you use AI to create.
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  Speaker 1: The same review as a blog post, YouTube script, TikTok series,
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  Twitter thread, and email sequence. Same information, five different revenue streams,
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  all created in parallel. The money isn't doing one thing perfectly.
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  It's in doing 50 things at 70% of the quality
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  and then seeing what sticks first, then.
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  Speaker 2: Improving it to the 100%.
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  Speaker 1: The entrepreneurs crushing it right now use what I call
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  the 100X framework. Instead of asking, how can I work faster? Ask,
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  how can I create 100 versions?
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  Speaker 2: Not better, more.
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  Speaker 1: But they spend months building the machine first. Scale beats speed,
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  but setup beats everything. If you want to learn more
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  about AI, I have free courses available at millionaires.com.
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  Speaker 2: I'll leave a link in the bio. Go crush it.