1. Two Paths to Making Money with AI [0]

thumbnail There are two main approaches to earning money with AI, each suited for different goals and personalities.

1.1. Path A: Building Long-Term Assets [7]

  1. Focuses on audience building and inbound marketing [7]
    1. This path is for individuals who prefer not to engage in cold outreach or direct sales to strangers. [7]
    2. It relies on people coming to you, similar to inbound marketing. [28]
  2. Requires a longer time commitment [17]
    1. Path A typically takes one to three years to build momentum. [17]
    2. However, in the rapidly growing AI space, some individuals have seen rapid growth in as little as three months. [19]
    3. This path is not suitable for those needing immediate income. [22]

1.2. Path B: Generating Immediate Income [8]

  1. Focuses on direct sales and cold outreach [8]
    1. This path is for individuals who need to generate income quickly, potentially this week. [8]
    2. It involves actively reaching out to people through methods like cold emails, cold calls, or cold DMs. [16]
  2. Depends on individual needs and personality [24]
    1. Neither path is inherently better; the choice depends on personal comfort with sales and urgency for income. [24]
    2. Most successful individuals eventually combine both paths, but the starting point is crucial. [32]

2. Path A Business Models: Building Long-Term Assets [36]

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These business models focus on creating valuable assets and growing an audience over time, leading to sustainable income.

2.1. AI Content Creator [36]

  1. Process for becoming an AI content creator [37]
    1. Learn about an AI topic by watching long-form tutorials on platforms like YouTube. [38]
    2. Share what you learned on social media the next day, creating a continuous cycle of learning and sharing. [44]
    3. An example is learning to use Claude on a phone and then sharing that knowledge. [47]
  2. Monetization through sponsorships and collaborations [51]
    1. Once an audience reaches around 10,000 followers, sponsorship and collaboration inquiries will start coming in. [51]
    2. This can take six to twelve months, or even one to two years, but the current popularity of AI can accelerate growth to three to six months. [53]
    3. AI startups are well-funded and actively seek creators to sponsor, making it easy to secure deals. [79]
  3. Shortcut: Copying viral content [55]
    1. To grow quickly, find viral AI videos on platforms like Instagram or TikTok by searching relevant hashtags (e.g., #Claude). [55]
    2. Copy these videos word for word, especially the first 10 seconds, as this is a proven formula for success. [55]
    3. This strategy applies to text and image carousels, not just videos, and is recommended for beginners to quickly gain traction. [71]

2.2. Repurposing as a Service [87]

  1. Leveraging existing content for wider reach [92]
    1. This service involves taking a creator's existing content, such as a long-form YouTube tutorial, and repurposing it into shorter formats (e.g., shorts) for other platforms like TikTok, Instagram, and Threads. [103]
    2. The goal is to help creators grow their audience on multiple platforms without additional effort from them. [100]
  2. Addressing a common creator need [107]
    1. Many content creators are not technical experts in AI, system building, or automation. [107]
    2. They desire growth but lack the knowledge or time to manage content across various platforms. [110]
  3. Effective pitching strategy [113]
    1. Instead of offering individual tasks like video editing, pitch the outcome: "I'm going to help you grow hands-free on autopilot." [111]
    2. Creators value the delivery of followers and growth without extra effort, making this a compelling offer. [116]
  4. Unique advantage with AI knowledge [122]
    1. Knowing how to use AI to repurpose content and automate posting gives a significant advantage. [122]
    2. This allows for setting up automated systems and charging a monthly fee for maintenance. [125]

2.3. Faceless YouTube Channels [135]

  1. Two main monetization paths for faceless channels [139]
    1. Platform rewards: Earning money directly from the platform based on views, audience demographics, and watch time. [141]
      1. This path is most viable on YouTube long-form videos, not Shorts or other short-form platforms. [155]
      2. Successful channels in niches like ASMR or edutainment can earn thousands to $50,000 per month. [153]
      3. These successful channels are typically not fully automated; AI is used for assistance, not complete automation. [161]
    2. Driving traffic to an offer: Using faceless content to direct viewers to a paid product or service. [144]
      1. This method allows leveraging short-form platforms (TikTok, Reels, YouTube Shorts) for explosive viral growth. [184]
      2. Monetization comes from the external offer (e.g., digital products, coaching, mobile apps), not platform views. [144]
      3. AI can be used to replicate viral formats, making them high-quality and automatable for short-form platforms. [193]
  2. Common misconceptions and effective strategies [161]
    1. A common mistake is trying to fully automate faceless channels, which rarely works for high earnings. [161]
    2. Successful channels often copy formats from other successful faceless channels in niches with high views and low subscriber counts. [173]
    3. While copying is a starting point, creators eventually develop their own unique style. [178]

2.4. AI Education Communities [204]

  1. Building a community requires prior audience building [208]
    1. The most successful education communities are typically started by founders who first built a large personal brand and following. [209]
    2. Launching a community without prior credibility or an audience is a common mistake, as people are unlikely to join. [212]
  2. High earning potential and recurring revenue [219]
    1. Many AI communities generate at least $50,000 per month, with some reaching $300,000 per month. [219]
    2. Communities offer a recurring monthly fee, unlike one-time sales of courses or workshops. [234]
  3. Value proposition of a community [236]
    1. Communities provide courses, a cohort learning experience, weekly workshops, and Q&A sessions. [242]
    2. The most valuable aspect is the quality of people within the community, as members are willing to pay to be surrounded by talented individuals. [236]
    3. "Wins" shared by members (e.g., closing a $10,000 contract, hitting revenue milestones) are hard to replicate and make a community valuable long-term. [254]
  4. Simple content-driven funnel [261]
    1. Successful communities use content on platforms like YouTube (long-form) and Instagram/Facebook (due to DM automation features) to drive traffic. [262]
    2. The funnel involves offering complex AI solutions and then presenting the community as an easier alternative (e.g., "join this school community for, say, $70 per month, and just download the template"). [268]
    3. This model can scale to $50,000 per month with a tiny team or even no team. [273]

3. Path B Business Models: Generating Immediate Income [275]

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These business models focus on providing high-value services that can generate cash quickly, often through direct outreach and sales.

3.1. Personal AI Assistant for Busy Founders [280]

  1. Identifying the target audience and their pain points [282]
    1. Busy founders, often non-technical, are overwhelmed with work and lack the time to build systems or automations. [282]
    2. They are aware of AI but don't know where to start, receiving too many generic responses from searches. [297]
    3. Founders are willing to pay to solve problems rather than spend time learning or troubleshooting. [331]
  2. The offer: Building an AI assistant that takes action [289]
    1. The AI assistant should save founders 10 to 15 hours of work per week by actively performing tasks, not just suggesting them. [289]
    2. Key areas for assistance include email management, CRM data review, lead follow-up, internal dashboards (sales, support, social media), recruiting, HR, and admin tasks. [290]
    3. The service involves setting up and maintaining AI tools, with a focus on a small subset of automatable tasks initially. [310]
  3. Client acquisition through cold DMs [312]
    1. Cold DMing busy founders on Instagram and LinkedIn is an effective strategy. [312]
    2. Find potential clients by looking at comment sections of productivity AI tool videos, as these individuals have already expressed interest but likely lack time to implement solutions. [323]
    3. The pitch should emphasize doing the work for them, as founders are willing to pay more for a hands-off solution. [342]

3.2. Claude Training for Businesses [358]

  1. High demand and low supply for Claude training [358]
    1. Claude is currently a highly sought-after AI tool, but there is a scarcity of comprehensive training, especially for teams and larger companies. [358]
    2. Most existing tutorials cater to solopreneurs and don't address team collaboration or enterprise-level challenges. [363]
  2. The offer: Tailored Claude training for business teams [371]
    1. Offer specialized training sessions for business teams, such as "Claude co-working session training" or "Claude training specifically for marketing teams." [371]
    2. The pitch is to train a team in one day, saving them five hours per person per week, with potential charges ranging from $10,000 to $40,000. [378]
    3. Businesses have budgets for upskilling employees, making AI training a valuable investment. [382]
    4. Existing free high-quality content can be repackaged and supplemented with team-specific insights for this service. [396]
  3. Client acquisition strategies [401]
    1. Cold DMs: Similar to AI assistants, DM people on LinkedIn and Instagram who show interest in Claude (e.g., by commenting on viral videos). [402]
      1. Many interested individuals prefer someone to "do it for them" or guide them through the process. [406]
      2. Send a high volume of DMs (around 200 per day) to ensure client acquisition within a week. [424]
    2. Guest appearances on podcasts/YouTube channels: Offer to showcase a unique Claude workflow to a large audience for free. [412]
      1. This provides free content for the host and generates leads from viewers interested in having the workflow implemented or trained for their team. [419]

3.3. AI Consulting and Audits [439]

  1. Scope of AI consulting services [440]
    1. Consulting can involve strategy, identifying gaps for AI deployment, tool selection, implementation roadmaps, and training (e.g., Co-Pilot training). [440]
    2. It typically starts with an audit to understand a company's current AI adoption and fluency. [458]
  2. Challenges and benefits of AI consulting [451]
    1. It can be challenging for newcomers without prior work experience to set expectations, reach clients, and manage engagements. [451]
    2. However, it teaches valuable skills in sales, expectation setting, and successful engagement management, and offers a fast path to cash. [454]
  3. Low AI fluency in most businesses [464]
    1. Most businesses are at a "level one out of five" in AI fluency, meaning they've only dabbled with tools like ChatGPT. [464]
    2. This significant gap creates immense opportunity for AI education, training, and consulting. [471]
  4. The pitch and pricing for audits [477]
    1. The pitch: "I'm an AI expert. I help people save 20 hours per week and gain more revenue through the adoption of AI tools. Let me audit your business, and I'll show you where AI will save you time and money." [477]
    2. Audits can range from $500 to $15,000, depending on business complexity, and can sometimes be offered for free when starting out. [481]
    3. Businesses often have budgets for such investments, preferring to upskill employees rather than waste funds. [484]
  5. Client acquisition through cold DMs [487]
    1. Cold DMing on LinkedIn and Instagram is highly effective, even for hiring. [488]
    2. The key is high volume (e.g., 200 DMs per day) and crafting DMs that are not generic "AI slop." [491]
    3. The current hype around AI means businesses are eager to adopt cutting-edge solutions to stay competitive. [505]

3.4. AI Automation Agency (AAA) [518]

  1. Definition and core value proposition [520]
    1. An AI automation agency connects disparate business tools and streamlines processes by combining AI with automation. [520]
    2. The goal is to save businesses time and make them more money. [523]
    3. This involves integrating AI API calls (e.g., ChatGPT) into existing workflow automations. [528]
  2. Challenges and monetization myths [543]
    1. Many creators promoting AAAs earn more from their communities and education than from their agencies, indicating difficulty in scaling. [544]
    2. Scaling an AAA requires both marketing (client acquisition) and backend fulfillment (building, troubleshooting, and maintaining automations). [548]
    3. Automations frequently break due to edge cases, lack of APIs in tools, and messy, unstructured business data. [552]
    4. Most founders are non-technical, leading to disorganized business processes that are difficult to automate. [567]
    5. AAAs involve extensive consulting-like work, including audits, tool recommendations, and roadmap development, making them very demanding. [575]
    6. This is considered one of the hardest monetization paths, even for technical individuals. [555]
  3. Client acquisition strategies [537]
    1. Cold DMs: Highly effective and free, especially for people who have shown interest in AI solutions but lack the time to implement them. [539]
    2. Upwork: A good starting point for new agencies due to the low quality of applications. [606]
      1. To stand out, respond quickly (within 12 hours), use proper English, and answer questions like a human, avoiding AI-generated "slop." [609]
      2. Apply to the newest jobs immediately (within the first few hours) to increase visibility, as founders quickly forget about job posts. [618]
    3. The core pitch remains consistent: "I'll build you automations that save you time and money." [639]

4. Path B Business Models: Additional Strategies and Considerations [646]

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This section covers additional strategies for immediate income, including physical sales tactics and the complexities of building AI products.

4.1. Physical Sales and Local Outreach [654]

  1. Door-to-door sales for immediate cash [654]
    1. The fastest way to make money is often through direct, in-person sales, such as knocking on doors. [654]
    2. An example from high school involved raising $200 per day by asking for donations door-to-door. [656]
  2. Local community engagement [660]
    1. For those who are social, posting in local Facebook groups or engaging with chambers of commerce can announce AI training services. [660]
    2. Leaving flyers on doors of businesses or neighbors can also generate leads, despite common dislike for them. [669]

4.2. Vibe Coding and SaaS Products [674]

  1. Definition and power of vibe coding [677]
    1. Vibe coding involves building apps, websites, and products using AI by simply typing out desired functionalities. [678]
    2. AI then plans, codes, and previews the app, making it powerful for creating simple MVPs and rapid iteration. [681]
  2. Challenges and why it's the hardest path [686]
    1. Vibe coding is considered the hardest path, especially for those new to AI, lacking an audience, or needing quick cash. [686]
    2. It's slow for generating income and acquiring initial users without marketing knowledge or an existing audience. [687]
    3. People often undervalue technology products compared to communities, making it harder to charge premium prices. [698]
  3. Monetization through recurring revenue and enterprise value [689]
    1. Successful vibe-coded products generate recurring revenue, similar to communities. [689]
    2. They also increase enterprise value, meaning a valuable tech product can be sold for a multiple of its revenue (e.g., $1 million revenue could sell for $5 million to $20 million). [690]
  4. Key advice for vibe coding: The "one thing" rule [704]
    1. The most common mistake is making the app too complicated. [704]
    2. An ideal vibe-coded product should do one thing really well within the first 90 seconds of a user signing up. [708]
    3. This ensures users quickly understand and experience the core value. [711]
  5. The 90/10 marketing flip [721]
    1. Initially, spend 90% of time on product building and 10% on marketing. [722]
    2. After launch, this ratio must completely flip: spend 90% of time on marketing (at least 4 hours a day) and 10% on product. [724]
    3. Failing to make this switch leads to a trickle of users, insufficient data for product improvement, and demotivation. [726]
    4. Marketing involves content creation (faceless or with a founder's face), influencer marketing, and targeted cold DMs. [736]
    5. A common mistake is insufficient marketing volume (e.g., one YouTube video six months ago). [754]
  6. Benefits of an existing audience for vibe coding [774]
    1. Having an existing audience (built through Path A) provides a shortcut, allowing for immediate user feedback and faster iteration. [774]
    2. This creates a tight feedback loop, preventing the demotivating situation of launching features to no users. [796]

4.3. Summary and Recommendations [813]

  1. All nine business models can scale to $1 million, but the choice depends on personal needs and personality. [814]
  2. Path A (slow burn): Recommended for those who prefer a marathon approach and can consistently work on something for several years. [816]
    1. This path involves building an audience and long-term assets without cold outreach or hard sales. [647]
  3. Path B (fast cash): Recommended for those needing immediate income, especially if they have a technical background or can partner for backend fulfillment. [825]
    1. The primary method for client acquisition is cold outreach (e.g., 4 hours a day of cold DMs on LinkedIn or Instagram). [650]
  4. Vibe coding (Path B, but hardest): Not recommended for beginners unless they have an existing audience or a strong marketing partner. [803]
    1. It can be highly profitable but is challenging to start. [778]