7 AI Skills You MUST Have to Become Rich in 2025

00:26:56
https://www.youtube.com/watch?v=T0HP7omFo58

摘要

TLDRThe video outlines seven AI skills essential for achieving financial success by 2025. It emphasizes the importance of mastering prompt engineering, which enhances communication with AI systems, and AI automation, which streamlines business processes. The speaker encourages viewers to learn AI development for creating custom applications, data analysis for extracting insights from business data, and AI copywriting for effective marketing. Additionally, AI-assisted software development and design tools are highlighted as means to reduce costs and improve efficiency. The video stresses that the current landscape allows individuals to start businesses with minimal resources by leveraging these AI skills, providing a significant competitive advantage.

心得

  • 💡 Master prompt engineering for better AI results.
  • 🤖 Learn AI automation to save time and money.
  • 🛠️ Understand AI development for custom solutions.
  • 📊 Use data analysis to uncover business insights.
  • ✍️ Improve marketing with AI copywriting skills.
  • 💻 Build software easily with AI-assisted tools.
  • 🎨 Create professional designs using AI design tools.
  • 🚀 Start a business with minimal resources using AI.
  • 📈 Focus on a niche to charge premium rates.
  • 🌟 The time to learn these skills is now!

时间轴

  • 00:00:00 - 00:05:00

    The speaker discusses the potential for wealth creation through AI by 2025, emphasizing the importance of acquiring specific AI skills that can lead to significant income. They promise to share seven unique skills that go beyond common advice, aiming to help viewers make real money rather than just play with AI tools.

  • 00:05:00 - 00:10:00

    The first skill highlighted is prompt engineering, which is crucial for effective communication with AI systems. The speaker explains that clear and structured prompts lead to better results, and cites research showing that poor communication is a major cause of AI project failures. They provide examples of how to structure prompts for optimal outcomes.

  • 00:10:00 - 00:15:00

    The second skill is AI automation, which involves using tools like Zapier and Make to automate repetitive tasks that waste time and money. The speaker shares their personal experience with automation, illustrating how it can save significant resources for businesses. They stress the importance of understanding the specific needs of a chosen niche to effectively implement automation solutions.

  • 00:15:00 - 00:20:00

    The third skill is AI development, which involves learning technical skills to create custom AI applications. The speaker emphasizes the need to learn Python and how to work with AI APIs to build solutions that address specific business problems. They suggest using platforms like Kaggle to gain practical experience through real-world projects.

  • 00:20:00 - 00:26:56

    The fourth skill is data analysis, where the speaker highlights the importance of using AI to analyze business data for actionable insights. They recommend learning SQL to effectively query databases and uncover valuable information that can drive business decisions. The speaker emphasizes that understanding data can lead to significant financial benefits for businesses.

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思维导图

视频问答

  • What are the seven AI skills mentioned in the video?

    The seven AI skills are prompt engineering, AI automation, AI development, data analysis, AI copywriting, AI-assisted software development, and AI design tools.

  • Why is prompt engineering important?

    Prompt engineering is crucial because it determines the quality of results from AI systems based on how clearly instructions are communicated.

  • What tools are recommended for AI automation?

    Recommended tools for AI automation include Zapier, Make.com, and Neon.

  • How can I start learning AI development?

    You can start learning AI development by learning Python and working with AI APIs, as well as participating in competitions on platforms like Kaggle.

  • What is the significance of AI copywriting?

    AI copywriting is valuable because it directly influences how much money businesses can make through effective marketing and sales copy.

  • How can AI design tools benefit new businesses?

    AI design tools allow new businesses to create professional-quality visuals quickly and affordably, eliminating the need for expensive design agencies.

  • What is the potential income from mastering these AI skills?

    Mastering these AI skills can lead to incomes ranging from six figures to potentially over $200,000 per year.

  • What is the main takeaway from the video?

    The main takeaway is that learning these AI skills can provide a significant competitive advantage in building a successful business.

  • How can I apply these skills to start a business?

    You can apply these skills by identifying a niche, understanding its specific problems, and using AI tools to create solutions.

  • What is the importance of data analysis in business?

    Data analysis helps businesses predict future trends and make informed decisions based on their data.

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  • 00:00:00
    All right, I get it. Fair enough. You
  • 00:00:02
    want to become rich with AI in 2025. So,
  • 00:00:05
    what do you do? You watch all the Sam
  • 00:00:06
    Alman podcasts. You watch all these hype
  • 00:00:09
    AI videos. I mean, hey, you know, you
  • 00:00:11
    might even think the chat GBT agents are
  • 00:00:13
    going to make you millions. Well, listen
  • 00:00:14
    up. In today's video, I'm going to share
  • 00:00:16
    seven AI skills that will separate the
  • 00:00:18
    people making hundreds of thousands of
  • 00:00:20
    dollars in 2025 from the people still
  • 00:00:22
    asking ChateBT to write their grocery
  • 00:00:24
    list. And most importantly, I'm going to
  • 00:00:26
    share skills that you probably will not
  • 00:00:28
    find anywhere else. Because I'm not
  • 00:00:30
    going to tell you, oh, just build AI
  • 00:00:32
    chatbots or start an AI agency because
  • 00:00:34
    heavens forbid that you actually learn
  • 00:00:36
    skills that businesses desperately need
  • 00:00:37
    and are willing to pay premium rates
  • 00:00:39
    for. No. I'm not going to give you any
  • 00:00:41
    of that surface level advice that's
  • 00:00:42
    built specifically for people who want
  • 00:00:44
    to play with AI tools instead of making
  • 00:00:46
    real money with them. No, no, no, no,
  • 00:00:48
    no. I am going to give you seven
  • 00:00:50
    practical skills that you can and should
  • 00:00:52
    start learning today. skills that are
  • 00:00:54
    already making people six figures. And
  • 00:00:56
    by the way, if you are feeling stuck and
  • 00:00:58
    just wondering which business model is
  • 00:01:00
    right for me, I'm going to leave a link
  • 00:01:01
    in the description to my most watched
  • 00:01:03
    video of this year and your guys's
  • 00:01:05
    personal favorite. It's called the
  • 00:01:07
    laziest ways to make money in 2025. And
  • 00:01:09
    I want to make it clear that people have
  • 00:01:10
    this wrong connotation about lazy when
  • 00:01:13
    in fact often times lazy just means the
  • 00:01:15
    most smart way. So in that video, I
  • 00:01:17
    actually break down the different
  • 00:01:18
    business models and which ones make the
  • 00:01:20
    most sense depending on your specific
  • 00:01:22
    situation. I will go ahead and leave a
  • 00:01:23
    link to that in the description. So, if
  • 00:01:25
    you are ready to stop making excuses and
  • 00:01:27
    start making real money, well, in that
  • 00:01:29
    case, make sure you grab a pen and paper
  • 00:01:30
    and pay very close attention to what I'm
  • 00:01:33
    about to share. Here are the seven AI
  • 00:01:35
    skills you need to master in order to
  • 00:01:37
    become rich in 2025. Skill number one
  • 00:01:39
    might actually be the most important one
  • 00:01:41
    because it's the one skill that makes
  • 00:01:43
    every other AI tool actually work. This
  • 00:01:46
    skill will determine whether you get
  • 00:01:47
    genius level results or complete garbage
  • 00:01:50
    from every AI system. that you touch.
  • 00:01:52
    And what am I talking about here? Well,
  • 00:01:54
    I'm talking about prompt engineering.
  • 00:01:56
    Think of AI systems as incredibly
  • 00:01:58
    intelligent employees who can do almost
  • 00:02:00
    anything, but they're really bad at
  • 00:02:02
    reading our minds. You see, these
  • 00:02:03
    employees that we have, they need very
  • 00:02:06
    precise, clear instructions to deliver
  • 00:02:08
    exactly what it is that you want. The
  • 00:02:10
    issue is that most people don't know how
  • 00:02:11
    to give those instructions properly.
  • 00:02:13
    Think of it like this. Imagine right now
  • 00:02:14
    I give you 10 employees for free to work
  • 00:02:16
    for you. If you gave them vague, unclear
  • 00:02:19
    instructions, what would happen? Well,
  • 00:02:20
    they would all just produce different
  • 00:02:22
    results. Most of them mediocre because
  • 00:02:24
    they don't understand what you actually
  • 00:02:25
    want. But if you gave them clear,
  • 00:02:27
    specific instructions with proper
  • 00:02:29
    context and examples of what success
  • 00:02:31
    looks like, suddenly those same 10
  • 00:02:33
    employees become incredibly productive
  • 00:02:35
    and deliver exactly what it is that you
  • 00:02:37
    need. And AI works exactly the same way.
  • 00:02:40
    The difference between getting amazing
  • 00:02:41
    results and garbage isn't the AI itself.
  • 00:02:44
    It's actually how clearly you
  • 00:02:45
    communicate as the leader giving the
  • 00:02:47
    instructions. And by the way, the
  • 00:02:48
    numbers actually prove how critical the
  • 00:02:50
    skill actually has become. Recent
  • 00:02:52
    industry research reveals that 78% of AI
  • 00:02:55
    project failures stem not from the
  • 00:02:57
    technological limitation, but from poor
  • 00:02:59
    human AI communication. What does this
  • 00:03:01
    actually mean? It means that right now
  • 00:03:03
    78% of companies are wasting massive
  • 00:03:05
    amounts of money on AI projects that
  • 00:03:08
    don't work not because the technology is
  • 00:03:09
    broken, but because no one knows how to
  • 00:03:12
    communicate with them properly. Which is
  • 00:03:13
    why prompt engineering has become the
  • 00:03:15
    foundational skill for building
  • 00:03:17
    successful businesses in 2025. Because
  • 00:03:19
    as much as we think that AI is actually
  • 00:03:22
    going to replace us, that's not true.
  • 00:03:23
    The reality is that AI needs human
  • 00:03:25
    intelligence to unlock its potential.
  • 00:03:27
    Without skilled prompt engineers, AI is
  • 00:03:29
    just expensive software that produces
  • 00:03:31
    mediocre results. So, how does prompt
  • 00:03:34
    engineering actually work? Let me break
  • 00:03:35
    this down into the core skills that you
  • 00:03:38
    need to master. Here's a little
  • 00:03:39
    breakdown on it. First, you need to
  • 00:03:40
    understand prompt structure. Most people
  • 00:03:42
    just type short and big instructions
  • 00:03:44
    like, "Oh, write me a blog post." And
  • 00:03:45
    then they wonder why they get garbage on
  • 00:03:47
    the other side. Garbage in, garbage out.
  • 00:03:50
    Professional prompts are structured into
  • 00:03:52
    five key parts: role, context, task,
  • 00:03:55
    audience, and then output format. So
  • 00:03:57
    instead of saying, "Write me a fat loss
  • 00:03:59
    ad," for example, instead you would
  • 00:04:01
    write for RO, you are a direct response
  • 00:04:03
    copyriter specializing in health and
  • 00:04:05
    fitness marketing for women over 40.
  • 00:04:07
    Giving some context, I'm launching a
  • 00:04:09
    12-week online fat loss program that
  • 00:04:11
    combines intermittent fasting with
  • 00:04:12
    strength training specifically designed
  • 00:04:14
    for hormonal changes during menopause.
  • 00:04:16
    The program cost $297 and includes meal
  • 00:04:19
    plans, workout videos, and weekly group
  • 00:04:21
    coaching calls. It addresses slower
  • 00:04:23
    metabolism, stubborn belly fat, and
  • 00:04:25
    energy fluctuations common during this
  • 00:04:27
    life stage. For the task, I need you to
  • 00:04:29
    write a Facebook ad that drives clicks
  • 00:04:31
    to my landing page. For audience, this
  • 00:04:33
    is for women aged 45 to 55 who are going
  • 00:04:36
    through menopause, who are frustrated
  • 00:04:37
    that their previous weight loss methods
  • 00:04:39
    no longer work due to hormonal changes
  • 00:04:41
    and want an approach that works with
  • 00:04:43
    their changing body. For the format,
  • 00:04:45
    please format as attentiongrabbing
  • 00:04:47
    headline, 3 to four sentence copy,
  • 00:04:50
    strong call to action, and keep the
  • 00:04:52
    total length under 125 words. And do you
  • 00:04:54
    see the difference here? This is exactly
  • 00:04:55
    how you create professional high-quality
  • 00:04:57
    marketing materials without hiring
  • 00:04:59
    expensive agencies or having previous
  • 00:05:01
    experience ultimately giving you a
  • 00:05:04
    competitive advantage. Now, some other
  • 00:05:05
    prompt format examples include
  • 00:05:07
    role-based prompting. This is actually
  • 00:05:09
    where you tell AI exactly who it should
  • 00:05:10
    act like. For example, you can actually
  • 00:05:12
    instruct it to act as a McKenzie level
  • 00:05:14
    strategy consultant with 15 years of
  • 00:05:17
    experience in business transformation.
  • 00:05:18
    And what's cool is now you actually have
  • 00:05:20
    access to the same caliber of strategic
  • 00:05:22
    thinking that Fortune 500 companies pay
  • 00:05:24
    hundreds of thousands of dollars for.
  • 00:05:26
    You can actually ask complex business
  • 00:05:28
    questions, get detailed market analysis,
  • 00:05:30
    and receive strategic recommendations
  • 00:05:32
    whenever you want. It's like having an
  • 00:05:33
    industryleading CEO in your pocket
  • 00:05:35
    without six figure consulting fees. This
  • 00:05:38
    one technique alone can improve your
  • 00:05:40
    results by 300 to 400% because you are
  • 00:05:42
    giving AI a specific expertise to draw
  • 00:05:44
    from. Next is examplebased training.
  • 00:05:47
    Third, you learn how to provide
  • 00:05:48
    examples. Instead of explaining what you
  • 00:05:50
    want, you actually show the AI two to
  • 00:05:52
    three examples of perfect outputs and it
  • 00:05:54
    will match the pattern consistently. So,
  • 00:05:56
    if you want emails written in a specific
  • 00:05:58
    style, well, then you give the AI
  • 00:05:59
    examples of emails in that style. If you
  • 00:06:01
    want social media posts with a certain
  • 00:06:03
    tone, you show a post with that tone.
  • 00:06:05
    You could even feed the AI content from
  • 00:06:07
    your favorite creators, YouTube video
  • 00:06:09
    transcripts, or speeches from industry
  • 00:06:11
    leaders that you admire. The AI will
  • 00:06:13
    analyze your communication style and
  • 00:06:15
    write scripts, emails, or marketing
  • 00:06:17
    content that matches their approach
  • 00:06:19
    without you having to lift a finger or
  • 00:06:20
    pay the exorbitant copywriting fees that
  • 00:06:22
    a lot of agencies charge. This means
  • 00:06:24
    that you could have the writing style of
  • 00:06:26
    some of the top marketers in your
  • 00:06:27
    industry working for your business 24/7
  • 00:06:31
    for free. Lastly, there is chain of
  • 00:06:33
    thought prompting. This is actually
  • 00:06:34
    where you break down complex tasks,
  • 00:06:36
    projects, and businesses into smaller
  • 00:06:38
    steps that the AI can work through
  • 00:06:39
    logically. This, by the way, is
  • 00:06:41
    incredibly powerful if you want to start
  • 00:06:42
    a business because you can use it. You
  • 00:06:44
    can actually map it out to figure out
  • 00:06:46
    what business to start and how to start
  • 00:06:48
    it. Instead of spending months and
  • 00:06:49
    months trying to research what might
  • 00:06:50
    work, you get the AI to walk through it
  • 00:06:53
    step by step. You can ask it to first
  • 00:06:54
    look at what are people actually buying
  • 00:06:56
    right now. Second, find groups of
  • 00:06:58
    customers who aren't getting what they
  • 00:07:00
    need. Third, figure out how hard it
  • 00:07:02
    would be to get started in said
  • 00:07:03
    business. Then you get it to estimate
  • 00:07:05
    how much money you could make and create
  • 00:07:07
    a plan for you actually starting all of
  • 00:07:09
    that in a space of 60 minutes. What used
  • 00:07:11
    to take expensive consultants weeks,
  • 00:07:14
    sometimes even months to figure out to
  • 00:07:16
    get a full business plan and and you
  • 00:07:17
    know analyze a full industry, you can
  • 00:07:19
    now get that done in an hour. The AI
  • 00:07:22
    will walk through each step telling you
  • 00:07:23
    where the opportunities are, who you'd
  • 00:07:25
    be up against, and exactly what you need
  • 00:07:27
    to do to get started. What all these
  • 00:07:29
    prompting techniques have in common is
  • 00:07:31
    specificity and structure. Whether
  • 00:07:33
    you're using rule-based prompting,
  • 00:07:35
    example based training, or train of
  • 00:07:36
    thought prompting, you're always giving
  • 00:07:38
    the AI clear context, specific
  • 00:07:40
    instructions, and examples of what
  • 00:07:42
    success actually looks like. The more
  • 00:07:43
    precise and the more structured your
  • 00:07:45
    prompts, the better your results will
  • 00:07:47
    be. So, now that you understand how to
  • 00:07:48
    communicate with AI effectively, how to
  • 00:07:50
    give it the right instructions to get
  • 00:07:52
    exactly what you want, let's actually go
  • 00:07:53
    ahead and start making money with these
  • 00:07:55
    skills. So, moving on to skill number
  • 00:07:57
    two, you need to understand that every
  • 00:07:58
    single day businesses are throwing away
  • 00:08:00
    money like it's on fire. I'm talking
  • 00:08:02
    about losing 50,000, 100,000, even
  • 00:08:04
    millions of dollars on tasks that could
  • 00:08:06
    be done automatically for free by people
  • 00:08:09
    no smarter than you. The skill I'm
  • 00:08:11
    talking about here is AI automation. And
  • 00:08:13
    before you think that this is some super
  • 00:08:14
    technical coding heavy thing that you
  • 00:08:16
    need a computer science degree for, it
  • 00:08:18
    is not. This is something you can learn
  • 00:08:20
    using tools that are mostly just
  • 00:08:22
    point-and-click such as Zapier, Make or
  • 00:08:24
    Neon, which we'll talk about more in
  • 00:08:26
    depth in just a minute. But first, what
  • 00:08:27
    exactly is AI automation? Think of it
  • 00:08:30
    like hiring a super smart assistant who
  • 00:08:32
    never sleeps, never gets tired, and
  • 00:08:34
    never makes mistake. Except instead of
  • 00:08:36
    paying them a salary every month, you
  • 00:08:38
    set them up once and they work for free
  • 00:08:40
    forever. So why does this matter so
  • 00:08:42
    much? According to Slack's workforce
  • 00:08:44
    lab, desk workers on average dedicate
  • 00:08:46
    40% of their work time to low value,
  • 00:08:49
    repetitive tasks that lack meaningful
  • 00:08:51
    contribution to their core job
  • 00:08:53
    functions. So that means that almost
  • 00:08:54
    half of their day they are doing boring
  • 00:08:56
    mind-numbing stuff that doesn't require
  • 00:08:58
    any real thinking. Now previously if you
  • 00:09:00
    want to get this repetitive work done
  • 00:09:02
    you had one of two options. A do it
  • 00:09:04
    yourself or option number two is hire a
  • 00:09:07
    virtual assistant. But quite frankly
  • 00:09:08
    both options suck because they're either
  • 00:09:10
    expensive, timeconuming or they don't
  • 00:09:12
    scale. So how do I know all of this? I
  • 00:09:14
    know this because I personally do this
  • 00:09:16
    in all of my companies. I have more than
  • 00:09:18
    one automation running every single
  • 00:09:20
    second of the day, day in day out,
  • 00:09:22
    weekdays, weekends, it does not matter.
  • 00:09:25
    That adds up to about 2.6 million
  • 00:09:27
    automations every single month. Now,
  • 00:09:30
    these automations handle everything from
  • 00:09:31
    data entry to email sequences to KPI
  • 00:09:34
    tracking to even out of office requests.
  • 00:09:36
    To put this into perspective, if each
  • 00:09:38
    one of these automations would typically
  • 00:09:39
    take a team member about 2.5 minutes to
  • 00:09:41
    complete manually, we're saving roughly
  • 00:09:44
    6.5 million minutes every single month,
  • 00:09:46
    considering an average 45-hour work
  • 00:09:48
    week, which translates about 180 hours a
  • 00:09:51
    month. That is the equivalent workload
  • 00:09:52
    of 36 employees saved right there. If
  • 00:09:55
    you add that up over a year, I have
  • 00:09:57
    saved literally millions of dollars. So,
  • 00:09:59
    can you see why this is actually such a
  • 00:10:00
    valuable skill? And that's not even the
  • 00:10:02
    best part. You can implement this in
  • 00:10:03
    your business as well. So, I'm sure
  • 00:10:05
    you're thinking, "Okay, well, this
  • 00:10:06
    sounds amazing, but h how would I
  • 00:10:07
    actually get started? What are the tools
  • 00:10:08
    you mentioned and how can you
  • 00:10:10
    realistically build with them?" Well,
  • 00:10:11
    let me break that down for you because
  • 00:10:13
    understanding these tools is so crucial
  • 00:10:15
    to your success. First, the Zapier. Now,
  • 00:10:17
    think of Zapier kind of like your
  • 00:10:19
    training wheels, okay? It's the most
  • 00:10:20
    beginnerfriendly platform out there. You
  • 00:10:22
    can literally just pick a trigger, like
  • 00:10:23
    when someone fills out my contact form,
  • 00:10:25
    and then from there, you pick an action
  • 00:10:27
    like add them to my email list and send
  • 00:10:29
    them a welcome message. Zapier connects
  • 00:10:31
    over 5,000 different apps. So, whatever
  • 00:10:33
    tools your business uses, Zapier can
  • 00:10:36
    probably go ahead and link them
  • 00:10:37
    together. Next is make.com. And this is
  • 00:10:39
    where you graduate from simple
  • 00:10:41
    automations to actually building
  • 00:10:42
    intelligent workflows. You see, with
  • 00:10:44
    make, you can actually create complex
  • 00:10:46
    decision trees. As soon as you mark a
  • 00:10:48
    plumbing job as complete in your system,
  • 00:10:49
    automatically send the customer a thank
  • 00:10:51
    you text and ask for a review. If they
  • 00:10:53
    don't send a review within 3 days, send
  • 00:10:55
    them a follow-up email. And then, if
  • 00:10:56
    they leave a five-star review,
  • 00:10:58
    automatically send them a discount code
  • 00:11:00
    for their next service. It's still
  • 00:11:01
    visual and drag and drop, but it has so
  • 00:11:04
    much more capability on the back end.
  • 00:11:05
    Next is Neon. Now, this is a more
  • 00:11:07
    advanced option. It's open source, which
  • 00:11:09
    means it's free if you can host it
  • 00:11:10
    yourself, and it also gives you
  • 00:11:11
    unlimited customization. This is where
  • 00:11:14
    you go when you need something really
  • 00:11:15
    specific that the other platforms simply
  • 00:11:18
    can't handle. Now, here's where most
  • 00:11:19
    people get automation completely wrong.
  • 00:11:21
    They learn the tools, build a few basic
  • 00:11:23
    workflows, and then wonder why
  • 00:11:25
    businesses aren't throwing money at
  • 00:11:26
    them. The issue is not your technical
  • 00:11:28
    skills. It's that you don't understand
  • 00:11:30
    the business that you are trying to
  • 00:11:31
    help. You can't solve problems you don't
  • 00:11:33
    understand and you can't charge premium
  • 00:11:35
    rates for generic solutions. Instead of
  • 00:11:37
    trying to help every business with
  • 00:11:38
    everything, you can pick one type of
  • 00:11:40
    business and become the automation
  • 00:11:42
    expert in that industry. So, first
  • 00:11:44
    you're going to pick a niche. You're
  • 00:11:45
    going to pick a specific type of
  • 00:11:46
    business to actually focus on. Don't try
  • 00:11:47
    to help restaurants and real estate
  • 00:11:49
    agents and plumbers and every other
  • 00:11:51
    business. Just pick one. When you
  • 00:11:53
    specialize, you can charge three to five
  • 00:11:54
    times more because you're not just an
  • 00:11:56
    automation guy. You are the automation
  • 00:11:57
    expert who understands their specific
  • 00:11:59
    industry. Step number two, study how
  • 00:12:01
    they actually work. Immerse yourself in
  • 00:12:03
    an understanding of how these businesses
  • 00:12:05
    actually operate. Watch YouTube videos
  • 00:12:06
    made by people in that industry. Read
  • 00:12:08
    their trade publications. Join their
  • 00:12:10
    Facebook groups. If you choose dental
  • 00:12:11
    practices, watch videos about dental
  • 00:12:14
    practice management. Learn their
  • 00:12:15
    workflow from patient scheduling to
  • 00:12:17
    treatment to billing. Understand their
  • 00:12:19
    pain points, their busy seasons, their
  • 00:12:20
    common problems. Step number three,
  • 00:12:22
    research their problems. Spend time
  • 00:12:24
    researching the actual problems that
  • 00:12:25
    these businesses face. What keeps them
  • 00:12:27
    up at night? What manual tasks waste
  • 00:12:29
    their time? Where do they lose money
  • 00:12:30
    because of inefficient processes? You're
  • 00:12:32
    going to start noticing patterns. Maybe
  • 00:12:34
    every dental practice struggles with
  • 00:12:36
    appointment no-shows. Maybe every
  • 00:12:37
    fitness studio loses members because of
  • 00:12:39
    poor follow-up. Maybe every contractor
  • 00:12:41
    forgets to follow up for reviews. Step
  • 00:12:43
    number four, talk to real business
  • 00:12:45
    owners. Talk to business owners in your
  • 00:12:47
    chosen niche. Don't try to sell them
  • 00:12:49
    anything. Just learn. Ask them about
  • 00:12:50
    their biggest time wasters, their most
  • 00:12:52
    frustrating daily tasks, the things they
  • 00:12:54
    wish they could automate. Most business
  • 00:12:55
    owners love talking about their
  • 00:12:57
    challenges. They will tell you exactly
  • 00:12:58
    where they're bleeding time and money if
  • 00:13:00
    you just ask the right questions. Step
  • 00:13:02
    number five, identify automation
  • 00:13:03
    opportunities. Fifth, because once you
  • 00:13:05
    understand how they really work,
  • 00:13:06
    automation opportunities will become
  • 00:13:08
    obvious to you. You'll see processes
  • 00:13:10
    that can be streamlined, follow-ups that
  • 00:13:11
    could be automated, data that could be
  • 00:13:13
    connected, and instead of offering
  • 00:13:14
    generic automation services, you're
  • 00:13:16
    going to be in the position to actually
  • 00:13:17
    issue authority because you have a value
  • 00:13:19
    ad to their business. Now, here's the
  • 00:13:21
    beautiful part. Once you master
  • 00:13:22
    automation for one type of business, you
  • 00:13:24
    can scale this approach, build
  • 00:13:26
    templates, create systems, maybe even
  • 00:13:28
    develop software specifically for that
  • 00:13:30
    industry. But it all starts with picking
  • 00:13:32
    one type of business and become obsessed
  • 00:13:34
    with understanding how they work. And
  • 00:13:35
    this brings me to something I need to be
  • 00:13:37
    completely honest with you about.
  • 00:13:38
    something that will really determine
  • 00:13:39
    whether you become just another
  • 00:13:40
    automation freelancer or someone who
  • 00:13:43
    builds truly valuable systems. The
  • 00:13:45
    approach that I just described, picking
  • 00:13:46
    a niche and understanding their problems
  • 00:13:48
    deeply, that is absolutely critical. But
  • 00:13:50
    there's another level that most people
  • 00:13:52
    never reach, and it's where the real
  • 00:13:53
    money and competitive advantage actually
  • 00:13:55
    lives. These tools we just covered, they
  • 00:13:57
    are incredibly powerful for connecting
  • 00:13:59
    existing systems. But here is what
  • 00:14:01
    happens when you get really good at
  • 00:14:02
    this. You start running into walls
  • 00:14:04
    because a client needs something custom
  • 00:14:06
    that no existing app can do. They need
  • 00:14:08
    automations that the platforms simply
  • 00:14:10
    just can't handle. If you want to build
  • 00:14:12
    applications that companies can truly
  • 00:14:14
    count on and scale with, you eventually
  • 00:14:16
    need to understand the technical
  • 00:14:17
    foundations, and that is coding. So,
  • 00:14:19
    here's the truth. Learning these no code
  • 00:14:21
    tools can absolutely make you over 100K
  • 00:14:23
    per year. But if you want to break into
  • 00:14:25
    the 200 to 300K range, you eventually
  • 00:14:27
    need to go deeper. You need to become
  • 00:14:29
    the person who can build what these
  • 00:14:30
    tools can't do. Now, I'm not saying you
  • 00:14:32
    need to learn coding right now. Start
  • 00:14:33
    with these tools, master the business
  • 00:14:35
    side, make money, but keep in mind that
  • 00:14:37
    the automation specialists making the
  • 00:14:38
    most money are the ones who can say yes
  • 00:14:41
    to any client request, not just the ones
  • 00:14:43
    that fit into their existing platforms.
  • 00:14:45
    So, for now, let's just focus on how to
  • 00:14:46
    use these tools to build profitable
  • 00:14:48
    automation businesses. But remember,
  • 00:14:50
    there's always another level if you want
  • 00:14:52
    to reach for it. Now, I'm sure you can
  • 00:14:53
    guess what that next skill might be. So,
  • 00:14:55
    that brings us into the skill that
  • 00:14:56
    separates the tool users from the tool
  • 00:14:58
    builders, and that is AI development.
  • 00:15:00
    So, what is AI development? Put simply,
  • 00:15:03
    AI development is about learning enough
  • 00:15:04
    technical skills to build custom AI
  • 00:15:06
    applications that solve real business
  • 00:15:09
    problems. Think of it this way. Someone
  • 00:15:11
    had to create Zapier, Make and all those
  • 00:15:13
    platforms. AI development is the skill
  • 00:15:15
    that lets you become one of those
  • 00:15:17
    builders. You see, most businesses
  • 00:15:18
    eventually hit walls with off-the-shelf
  • 00:15:20
    tools. Their processes are too specific.
  • 00:15:23
    Their data is too complex. All they need
  • 00:15:25
    is AI that understands the industry in
  • 00:15:28
    ways that generic tools never will. that
  • 00:15:30
    gap between what businesses need and
  • 00:15:32
    what existing tools can provide. That is
  • 00:15:34
    where AI developers make all of their
  • 00:15:36
    money. Now, let me break down what you
  • 00:15:38
    actually need to learn to start building
  • 00:15:40
    custom AI solutions. First, you need to
  • 00:15:42
    learn Python. This is a language that
  • 00:15:44
    most AI applications are actually built
  • 00:15:45
    on. Now, before you panic, Python is
  • 00:15:47
    actually one of the easiest languages to
  • 00:15:48
    learn. You do not need to become a
  • 00:15:50
    coding expert overnight. You just need
  • 00:15:52
    to understand enough Python to work with
  • 00:15:54
    data, connect to AI services, and build
  • 00:15:56
    basic apps. Now, speaking of apps,
  • 00:15:58
    second, you need to understand how to
  • 00:15:59
    work with AI APIs. This means learning
  • 00:16:02
    how to connect your applications to
  • 00:16:03
    services like OpenAI, Claude, or other
  • 00:16:05
    AI platforms. Instead of just using Chat
  • 00:16:07
    GPT through their website, you now
  • 00:16:09
    actually learn how to integrate it
  • 00:16:10
    directly into custom applications that
  • 00:16:12
    you actually build for clients. Let me
  • 00:16:14
    give you a concrete example of what
  • 00:16:16
    working with AI APIs actually means.
  • 00:16:18
    Let's say, for example, a local law firm
  • 00:16:20
    asks you how to build a tool that can
  • 00:16:22
    summarize legal documents. Right now,
  • 00:16:23
    they copy and paste each document into
  • 00:16:25
    chat GBT manually, one at a time, and it
  • 00:16:28
    takes forever. With the AI APIs, you can
  • 00:16:30
    build a simple application where they
  • 00:16:31
    drag and drop 50 legal documents into a
  • 00:16:34
    folder on their computer. Your
  • 00:16:35
    application automatically sends each
  • 00:16:37
    document to chat and gets a summary back
  • 00:16:39
    and creates a neat report with all 50
  • 00:16:41
    summaries. Instead of them spending 3
  • 00:16:43
    hours copy and pasting documents one by
  • 00:16:44
    one, your custom application does all 50
  • 00:16:47
    documents in 5 minutes automatically.
  • 00:16:50
    Now, let's move on to data handling. You
  • 00:16:52
    need to understand how to actually work
  • 00:16:53
    with data. Most AI applications involve
  • 00:16:55
    taking a business's data and making it
  • 00:16:57
    useful, cleaning it, organizing it, and
  • 00:17:00
    feeding it into AI systems in the right
  • 00:17:02
    way. This is often where the real value
  • 00:17:04
    is. Businesses have tons of data, but
  • 00:17:06
    just don't know how to use it
  • 00:17:07
    effectively. You become the person who
  • 00:17:09
    turns their messy data into valuable AI
  • 00:17:11
    insights. Now, I will touch more deeply
  • 00:17:13
    into this in topic skill number four.
  • 00:17:16
    For now, the best way to actually learn
  • 00:17:18
    AI development is through working on
  • 00:17:20
    real projects. And the best place to
  • 00:17:21
    start is a platform called Kaggle. This
  • 00:17:24
    is basically where companies post real
  • 00:17:25
    business problems that need AI solutions
  • 00:17:28
    and people compete to solve them. Every
  • 00:17:30
    competition comes with real data from
  • 00:17:32
    real companies. Google post problems
  • 00:17:34
    that they need solved. Netflix post
  • 00:17:36
    challenges about their recommendation
  • 00:17:37
    system. And as you can see in the image
  • 00:17:39
    above, they pay quite handsomely to fix
  • 00:17:41
    these problems. But here's the best
  • 00:17:43
    part. You can see how other people solve
  • 00:17:45
    the same problem. So when someone
  • 00:17:46
    submits a solution, they often share
  • 00:17:47
    their complete approach, including all
  • 00:17:49
    of their code and documentation. So you
  • 00:17:51
    can take a problem, try to solve it
  • 00:17:53
    yourself, then you can see how the
  • 00:17:54
    winning solution approached it. It's
  • 00:17:56
    like having access to the best AI
  • 00:17:58
    developers in the world and learning
  • 00:17:59
    directly from their work. So instead of
  • 00:18:01
    wondering what kind of projects you
  • 00:18:03
    should build, just go to Kaggle, pick a
  • 00:18:05
    competition that interests you, and
  • 00:18:06
    start working on it. You will learn
  • 00:18:08
    faster than any course ever could teach
  • 00:18:10
    you. Next, let's talk about data
  • 00:18:12
    analysis. You see, most business owners
  • 00:18:13
    are already measuring their data. They
  • 00:18:15
    track sales, website visits, customer
  • 00:18:17
    information, but the problem is that
  • 00:18:19
    they are only scratching the surface of
  • 00:18:21
    what the data can actually tell them.
  • 00:18:23
    Here's the difference. Traditional data
  • 00:18:24
    analysis shows what already happened. AI
  • 00:18:26
    data analysis predicts what's going to
  • 00:18:28
    happen next and tells you exactly what
  • 00:18:30
    to do about it. Think about it this way.
  • 00:18:32
    Most modern businesses generate massive
  • 00:18:34
    amounts of data every single day.
  • 00:18:36
    Customer interactions, transaction
  • 00:18:37
    records, website behavior. The volume is
  • 00:18:40
    staggering. Your brain simply wasn't
  • 00:18:42
    designed to process this much
  • 00:18:43
    information, let alone sift through it
  • 00:18:44
    in any sort of meaningful way. Even a
  • 00:18:46
    small business might have thousands of
  • 00:18:48
    data points flowing in daily through
  • 00:18:50
    multiple systems. The human brain hits a
  • 00:18:52
    wall trying to comprehend this scale of
  • 00:18:54
    information, meaning that most of the
  • 00:18:56
    valuable insights hiding in your data
  • 00:18:58
    remain completely invisible. But AI
  • 00:19:01
    thrives on big data. AI can
  • 00:19:03
    simultaneously analyze every data point
  • 00:19:05
    across multiple different business
  • 00:19:06
    systems and in the process identifying
  • 00:19:08
    complex relationships and patterns that
  • 00:19:10
    would simply be impossible for any human
  • 00:19:12
    to detect through data analysis. Look,
  • 00:19:15
    every business has data. Most just
  • 00:19:17
    simply have no clue what to do with it.
  • 00:19:19
    And that is the opportunity right there.
  • 00:19:22
    When you can analyze their data and even
  • 00:19:23
    your own business data and find exactly
  • 00:19:25
    where you are losing money and how to
  • 00:19:27
    fix it, that is immediately valuable.
  • 00:19:30
    So, how do you actually get started?
  • 00:19:32
    Learn SQL. That's it. Quite simply, SQL
  • 00:19:35
    stands for structured question logic and
  • 00:19:37
    is basically a very simple way to ask
  • 00:19:39
    database questions in plain English like
  • 00:19:41
    commands. Think of it kind of like a
  • 00:19:43
    Google search but just for business
  • 00:19:44
    data. Literally, all business
  • 00:19:45
    information lives in databases and SQL
  • 00:19:48
    is how you get answers from those
  • 00:19:50
    databases. And that brings us on to
  • 00:19:52
    skill number five. You see, every
  • 00:19:53
    business needs words that sell and that
  • 00:19:56
    creates a massive opportunity for you. I
  • 00:19:58
    mean, think about it. Every business
  • 00:19:59
    hosts websites, sends email, posts
  • 00:20:02
    content, runs ads. And here's the thing,
  • 00:20:04
    their copyrighting can always be better.
  • 00:20:06
    And you never fully have 100% perfect
  • 00:20:08
    piece of copy. And this is really where
  • 00:20:10
    AI copyrighting becomes such a valuable
  • 00:20:12
    skill to have. and tools such as chat,
  • 00:20:14
    which is about $250 a year, or claude, I
  • 00:20:16
    think it's about the same, or even more
  • 00:20:18
    advanced professional level tools such
  • 00:20:20
    as ghostriter OS, which is $3,000 a
  • 00:20:22
    year, I know, which is very expensive,
  • 00:20:24
    but it's a custommade tool specifically
  • 00:20:26
    for the purpose of copywriting, direct
  • 00:20:28
    response copyrightiting, and basically
  • 00:20:30
    crafting the perfect copy to make
  • 00:20:32
    clients and yourself money. Now, I will
  • 00:20:34
    say maybe I'm a bit biased because
  • 00:20:36
    that's one of my software businesses,
  • 00:20:37
    but it doesn't matter what you use. The
  • 00:20:38
    point is the better the tool and the
  • 00:20:40
    more tailored the tool is specifically
  • 00:20:43
    for the purpose for creating words that
  • 00:20:45
    sell the more money that you will make.
  • 00:20:47
    So for example, let's say that you run
  • 00:20:49
    webinars to sell your digital product.
  • 00:20:50
    If you create a webinar scripts that
  • 00:20:52
    retains 80% of your audience when you
  • 00:20:54
    actually get to the pitch part opposed
  • 00:20:55
    to one that only brings 20% of your
  • 00:20:57
    audience by the time that it gets to the
  • 00:20:58
    pitch, well then in that case you'll
  • 00:21:00
    make four times as much money. So, if on
  • 00:21:02
    average your webinar converted 10% after
  • 00:21:04
    the pitch, you were able to keep 80 out
  • 00:21:06
    of 100 attendees as opposed to 20 out of
  • 00:21:08
    100 attendees, that means that instead
  • 00:21:09
    of converting two customers, aka 10% of
  • 00:21:12
    20, you will convert eight customers.
  • 00:21:13
    So, 10% of 80. That's four times as much
  • 00:21:16
    money from the same webinar. The best
  • 00:21:18
    part is that every business needs better
  • 00:21:21
    converting ad copy, higher converting
  • 00:21:23
    VSSLs, more engaging content. So,
  • 00:21:25
    whatever it is, your business needs the
  • 00:21:27
    skill. When you can create copy
  • 00:21:28
    improvements that directly lead to more
  • 00:21:30
    customers and more revenue, you become
  • 00:21:32
    unstoppable in your market. And if you
  • 00:21:33
    want to take it a step further, you can
  • 00:21:35
    create copy that sounds exactly like
  • 00:21:37
    you, but with the persuasion techniques
  • 00:21:39
    of the world's best copyriter. What do I
  • 00:21:41
    mean by this? For example, you can take
  • 00:21:42
    a creator like me and you can actually
  • 00:21:44
    train the AI to speak exactly like me,
  • 00:21:46
    taking all the marketing principles from
  • 00:21:47
    my content. Here's how you do it. You
  • 00:21:49
    train it by feeding it videos,
  • 00:21:51
    transcripts, YouTube scripts, everything
  • 00:21:53
    about the particular individual. But
  • 00:21:55
    then you also tell it to act as an
  • 00:21:57
    expert copywriter. It will mesh the two
  • 00:21:59
    together to give you phenomenal results.
  • 00:22:01
    The point I'm trying to get across is
  • 00:22:02
    this. AI copyrightiting is one of the
  • 00:22:03
    most valuable skills you can learn
  • 00:22:05
    because it directly controls how much
  • 00:22:06
    money you can make. The businesses with
  • 00:22:08
    better writing will dominate their
  • 00:22:09
    markets. Learn AI copywriter and you
  • 00:22:12
    become the business owner who doesn't
  • 00:22:13
    depend on anyone else for success
  • 00:22:15
    because at the end of the day, the right
  • 00:22:16
    words can be worth millions of dollars.
  • 00:22:18
    Now, moving on to skill number six. Here
  • 00:22:20
    is a skill that's completely changing
  • 00:22:22
    who can build software and that is AI
  • 00:22:24
    assisted software development. You see,
  • 00:22:26
    for decades, building software required
  • 00:22:27
    years of programming knowledge. If you
  • 00:22:29
    had an idea for a simple tool, maybe an
  • 00:22:31
    expense tracker for your freelance
  • 00:22:32
    businesses or a clam portal where
  • 00:22:34
    customers could check project statuses
  • 00:22:36
    or an inventory system for your small
  • 00:22:38
    store, you had two options. Either learn
  • 00:22:39
    how to code yourself or hire very
  • 00:22:41
    expensive developers. Now, hiring
  • 00:22:43
    developers meant paying thousands of
  • 00:22:44
    dollars, waiting weeks for back and
  • 00:22:46
    forth communications, and hoping that
  • 00:22:48
    they understood exactly what you wanted.
  • 00:22:50
    Most small business ideas never got
  • 00:22:52
    built because the barrier was too high.
  • 00:22:54
    Now with tools like Replit or Bolt and
  • 00:22:56
    many many others, you can actually build
  • 00:22:58
    functional software simply by describing
  • 00:23:00
    what you want in a detailed prompt. What
  • 00:23:02
    makes this so valuable is the
  • 00:23:03
    combination with other skills. Remember
  • 00:23:05
    how I talked about picking a business
  • 00:23:06
    niche and understanding their specific
  • 00:23:08
    problem? Well, now you can actually
  • 00:23:10
    build those custom solutions for those
  • 00:23:12
    problems. Let's say a local contractor
  • 00:23:13
    wants a job estimation tool that
  • 00:23:15
    accounts for their unique pricing
  • 00:23:16
    structure. you can build that and this
  • 00:23:18
    transforms you into someone who creates
  • 00:23:20
    new tools. That is the difference
  • 00:23:21
    between charging $3,000 for a project
  • 00:23:23
    and charging $15,000 for a custom
  • 00:23:26
    solution that no one else can provide.
  • 00:23:28
    Now, for skill number seven, here's
  • 00:23:29
    something that used to be a major
  • 00:23:30
    barrier to starting any business. You
  • 00:23:32
    need a professional design. On the basic
  • 00:23:34
    side, you need a logo, a website, and
  • 00:23:36
    consistent branding. On the more
  • 00:23:38
    advanced side, you need ad creatives
  • 00:23:39
    that actually convert or maybe even
  • 00:23:41
    thumbnail designers. Now, most
  • 00:23:42
    entrepreneurs either spend tens of
  • 00:23:44
    thousands on design agencies or launch
  • 00:23:46
    with amateur visuals that immediately
  • 00:23:48
    label themselves in a small time. AI
  • 00:23:50
    design tools have completely eliminated
  • 00:23:52
    this barrier. You can now create
  • 00:23:53
    professional quality visual content that
  • 00:23:55
    would have cost thousands of dollars as
  • 00:23:57
    well as weeks of back and forth with
  • 00:23:59
    designers in minutes. Now, with AI,
  • 00:24:01
    think about what this means for someone
  • 00:24:03
    who's starting a business in 2025. This
  • 00:24:05
    is like having a world-class graphic
  • 00:24:06
    designer in your pocket that you can
  • 00:24:08
    access at any time. one that creates
  • 00:24:11
    professionallook branding, ad creatives,
  • 00:24:13
    and content. Literally everything you
  • 00:24:15
    need. Now, let me give you some concrete
  • 00:24:16
    examples that show you just how insane
  • 00:24:18
    this has become. So, let's say you need
  • 00:24:19
    a thumbnail for your YouTube video.
  • 00:24:21
    Tools like Thumbnail.ai, and in fact,
  • 00:24:23
    even Canva's AI thumbnail maker. These
  • 00:24:25
    can generate professional thumbnails in
  • 00:24:27
    just seconds. You can just describe your
  • 00:24:28
    video content, and it creates
  • 00:24:29
    eye-catching designs that are proven to
  • 00:24:32
    increase click-through rates. No more
  • 00:24:33
    hiring designers or struggling with
  • 00:24:35
    Photoshop. Let's say you need a specific
  • 00:24:37
    photo of yourself doing a particular
  • 00:24:38
    action for marketing. Instead of hiring
  • 00:24:40
    a photography team and setting up
  • 00:24:42
    expensive shoot, tools like get image.ai
  • 00:24:44
    or freepic can now generate
  • 00:24:46
    photorealistic images that are
  • 00:24:48
    indistinguishable from real photos. My
  • 00:24:50
    design team even personally used tools
  • 00:24:52
    like this and the results are insane as
  • 00:24:54
    you can see above. Look, I want to be
  • 00:24:55
    completely honest with what we just
  • 00:24:57
    covered. Every skill I showed you, all
  • 00:24:59
    of these used to be separate jobs that
  • 00:25:01
    required years of training and expensive
  • 00:25:03
    teams 10 years ago. If you wanted to
  • 00:25:05
    start a business, you would need a
  • 00:25:06
    developer to build your website, a
  • 00:25:08
    designer for your branding, a copywriter
  • 00:25:10
    for your marketing, a data analyst to
  • 00:25:11
    understand your numbers, an automation
  • 00:25:13
    specialist to handle your workflows.
  • 00:25:15
    That is easily $200,000 in salaries or
  • 00:25:18
    even $50,000 in freelance costs just to
  • 00:25:21
    get started. Today, you can handle all
  • 00:25:23
    that yourself. Not because you're some
  • 00:25:25
    genius, but because AI tools have made
  • 00:25:27
    these skills accessible to anyone who's
  • 00:25:29
    willing to learn it. The barrier between
  • 00:25:30
    having a business idea and actually
  • 00:25:32
    building a business has never been
  • 00:25:33
    lower. And think about what that means
  • 00:25:35
    for you specifically. You don't need to
  • 00:25:37
    save up massive amounts of money. You
  • 00:25:39
    don't need to convince investors. You
  • 00:25:41
    don't need to hire a team before you
  • 00:25:42
    made your first sale. You can literally
  • 00:25:44
    start testing business ideas this week
  • 00:25:46
    with nothing but just the AI tools that
  • 00:25:49
    I've showed you. Now, this window is not
  • 00:25:50
    going to stay open forever. Most
  • 00:25:51
    businesses are still figuring out how to
  • 00:25:53
    actually use these tools. Most beginners
  • 00:25:54
    still think that they need huge teams
  • 00:25:56
    and startup costs to get their business
  • 00:25:58
    off the ground. But that is changing
  • 00:26:00
    fast. The people who learn these skills
  • 00:26:01
    now while the majority is still catching
  • 00:26:04
    up will have an enormous advantage not
  • 00:26:06
    just in making money but in having the
  • 00:26:07
    freedom to build the kind of business
  • 00:26:09
    and life that they actually want. You
  • 00:26:11
    have never been in a better position
  • 00:26:13
    than right now. The tools exist. The
  • 00:26:15
    opportunities are there. The only
  • 00:26:16
    question is whether you're going to use
  • 00:26:18
    them or wait until everyone else figures
  • 00:26:20
    them out themselves. So, with that being
  • 00:26:22
    said, I apologize for maybe a very dense
  • 00:26:24
    AI video compared to a lot of the other
  • 00:26:26
    stuff I saw out there, but I didn't want
  • 00:26:27
    this to be surface level. I didn't want
  • 00:26:29
    to just scratch. I didn't just want to
  • 00:26:30
    give you the information that everyone
  • 00:26:31
    else gave you. I'm not saying that you
  • 00:26:32
    should do all these, but even if you
  • 00:26:34
    just learn one or two of these skills,
  • 00:26:36
    it's going to take you so far,
  • 00:26:37
    especially when you learn these AI
  • 00:26:39
    skills and you pair it up with the right
  • 00:26:41
    business model. So, make sure you check
  • 00:26:43
    out that first link in the description
  • 00:26:44
    to actually give you some ideas of,
  • 00:26:46
    okay, what businesses could I implement
  • 00:26:47
    this to in order to kickstart my online
  • 00:26:49
    career? And with that being said, I hope
  • 00:26:50
    you enjoyed today's video. And as
  • 00:26:52
    always, I'm watching from afar and I'm
  • 00:26:54
    rooting for you.
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  • AI skills
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