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It's that time of year again when we talk about influencers. Sorry, influence. To influence, what does it mean? How does it happen? I've been an influencer for quite some time now. In fact, I'm probably like the Apex influencer because you never know when I'm being ironic or unironic. All you see is Filion, or at least your perception of who I am, what I do, how much money I make. I have my doctoral degree in influencerology, which makes me the perfect person to comment on which influencer makes the most money. It's the most tried and true way to make new money in 2023. Influencers have the potential to make absolute guap. There's a reason why every kid wants to be a YouTuber when they grow up. It's never Instagrammer, no, it's always YouTuber because they know there's levels to this. The Scooby-Doo gang has been revealed. It's The Usual Suspects. If we're gonna rank influencer income from least to most, I gotta know what platform or what they do on social media, and then I can give you a better idea. Typically, the hotter you are, the more money you make. That's just the reality of the world. I teach people how to be content creators, but I'm also a Twitch streamer. 'I don't sell a course because I believe in like making education free for people, so I don't like paywalling info.' Everything I just said was a lie. 'OnlyFans makes money.' Sex workers retire tomorrow. The moral of the story is I'm washed up and know nothing about the inner workings of modern influencers.

In this episode, Chris Kerner pulls back the curtain on his first 60 days of YouTube monetization, presenting the data behind his earnings and the steps he took to reach monetization. He frames himself as an entrepreneur first and a YouTuber second, emphasizing that YouTube’s algorithm can work for ambitious creators even without a large audience. He explains the monetization thresholds, the role of Shorts, and the importance of consistency paired with high‑quality content. He also discusses audience sources, noting a big Twitter following and an email list, while arguing that cross‑platform traffic is not a guaranteed shortcut. Throughout, he highlights three pillars for engagement—an irresistible hook, solid content, and shareability—and describes how early results were shaped by viral spikes and strategic posting. He then breaks down the revenue since monetization, detailing a total around $4,359 with a split favoring long‑form content and rising RPM over time. He clarifies RPM versus CPM, attributes higher rates to a more valuable audience, and notes that much viral momentum came from Instagram and TikTok rather than YouTube itself. The episode emphasizes compounding results and teases deeper analyses in future videos.

The episode opens with the claim that OpenAI’s new image generation API could spark a rapid gold rush for people who can build simple, scalable tools from a laptop. The host and guest, Jacob Posel, discuss turning that API into practical business ideas, from ad agencies to consumer apps that personalize images. Posel explains how quickly a market can form around image generation and why the first days matter for capturing revenue, emphasizing that many non-technical people could participate by leveraging existing platforms and reference materials. A core focus is practical experimentation: creating wrappers and variants of images, using references, and thinking through monetization strategies such as subscriptions or per-ad pricing. The conversation highlights the importance of prompt engineering, the value of using reference images, and the advantage of tools like Sora for higher output and faster iterations. They contrast image generation with video and long-form content, arguing that images currently offer a clearer, more scalable path to income, especially through ad creative, stock imagery, and personalized visuals. Towards the end, the dialogue shifts to operational playbooks: partnering with existing ad agencies, pricing models, and scalable workflows that deliver ready-to-use ads. They brainstorm niche ideas like visualizing potential babies or aging, interior design tweaks, and real estate staging, stressing ethical considerations and the need to move quickly to reduce churn. The guests stress focus, momentum, and the advantage of acting now, sharing personal anecdotes about domain acquisitions and the excitement of building in real time as the API becomes broadly available.

The episode explores how individuals can earn money by creating content with AI-generated influencers. The host walks through using an AI influencer studio to design a virtual character, emphasizing how appearance and retention affect video performance. He demonstrates selecting traits, generating a clip, and uploading it to social platforms, all while noting that the AI serves as a bridge to avoid showing one's face on camera. The discussion then turns to monetization: connecting accounts to platforms, choosing campaigns, and understanding per‑thousand‑view pay across networks. He explains that income often comes from a mix of short‑form revenue, posts, and off‑platform strategies such as collecting emails, selling products, or promoting affiliates. The value proposition centers on lowering entry barriers with tooling that can simulate human-like content while enabling creators to inject personal style. The host concludes by stressing the importance of acting quickly in a rapidly evolving landscape, as early adoption can lead to meaningful opportunities for those who leverage AI tools thoughtfully rather than shying away from them.

Tyler, a 28-year-old in Utah, gradually built a profitable stump grinding business starting from a side hustle while maintaining a full-time job. He learned about the opportunity from a podcast, tested ideas with renting equipment, and avoided heavy upfront risk by bootstrapping. His revenue ramp began with subcontracting for tree companies that didn’t want to deal with stumps, allowing him to accumulate the first 50 grand in revenue largely as a subcontractor before he branded his own business. He emphasized the importance of rapid execution and learning on the job rather than waiting for perfect practice, and he repeatedly underlined how staying lean and deploying minimal upfront costs enabled him to weather the winter season with savings and careful budgeting. As he gained momentum, Google became a critical customer acquisition channel through Google My Business and Google Guaranteed, along with strong reviews. He recounted how he achieved top rankings in local search with a robust review profile and timely communication, including text-based outreach that yielded high response rates with little upfront cost. He also described his pricing strategy: a minimum charge of 200 and a per-inch rate around seven dollars, tailored to local conditions and machine size, all while accounting for equipment depreciation and labor. The business evolved from a B2B subs approach to a mix of contractor-driven work and direct homeowner or general market work, with roughly 60-70% contractor-provided jobs at peak and the remainder from direct customers. Tyler’s discipline extended to capturing credibility through documented customer interactions and asking for reviews immediately after service, which dramatically boosted his online presence and trust. He discussed ongoing overhead, including vehicle, trailer, and machine costs, and highlighted the value of being responsive and avoiding cash flow gaps by keeping overhead modest and reinvesting in growth gradually. The conversation also covers the hosts’ insistence on practical, repeatable systems, including a “P framework” that emphasizes piggybacking, reviews, and responsiveness as core levers for scalable local service businesses. topicsListUsedToGuideThisEpisodeToday reviews as a growth engine local SEO and Google Guaranteed impact piggybacking business lines to win customers managing risk through bootstrapping and rental equipment pricing and scope in stump grinding solo entrepreneurship in a field service turning a side hustle into a full-time business the MIH (make it happen) mindset in entrepreneurship recordkeeping and documenting outcomes to drive credibility scaling a local service business through contractor networks post-sale client nurturing for reviews and referrals

The episode explains how content creators can scale earnings by using automation to research and repurpose ideas from successful creators. The host describes a repeatable workflow that starts with selecting a niche, publishing consistently, and monetizing, then adds two AI-driven automations to handle discovery and inspiration while the creator focuses on making original content. The first automation watches top posts in a chosen niche and provides a weekly digest of ideas, reducing the daily ideation burden. The second automation connects data sources through a workflow that reads YouTube RSS feeds, appends results to a Google Sheet, and optionally sends email summaries, enabling ongoing tracking of new videos, channel names, and publish dates. The process emphasizes leveraging existing proven formats and adapting them with a personal angle, rather than reinventing the wheel. The overall message is that automation can free time for creativity while maintaining a steady content cadence.

The episode presents a detailed, tactical approach to earning money by repurposing content on Facebook, emphasizing that the majority of income comes from content that is not created from scratch. The host outlines a workflow that begins with discovering viral, business-focused material from other creators, adding unique value through commentary and analysis, and then repurposing it into native posts across multiple platforms. He stresses fair use as a legal guardrail, provided that the creator adds original insight, perspective, or strategic advice to the sourced material. The narrative includes concrete revenue figures from recent content, underscoring that monetization on Facebook can be substantial, especially in business and finance niches, with a focus on short-form videos and the importance of not relying solely on one platform due to the risk of algorithm changes or policy shifts. The speaker also details practical production steps: sourcing content from Instagram and Twitter, creating overlays or green-screen edits, choosing appropriate tools for editing, and optimizing retention hooks to increase watch time. He cautions against cross-posting and advocates for native uploads to maximize reach, while encouraging careful attribution to original creators and ongoing experimentation with formats, hooks, and scripts. The episode also walks through building an audience beyond the platform by driving traffic to an owned list via email, illustrating how a newsletter can generate ongoing value even when platform dynamics change. Throughout, the host shares personal routines and tools for filming, editing, and planning content at scale, emphasizing discipline and consistency over gimmicks.

Your favorite YouTube channel is probably owned by private equity. They are using that money to acquire YouTube channels as strategic investments. These are like fake natty channels pumped and injected with venture capital money. Coco Melon, Colin and Samir, The Theorists, and Dude Perfect have also all partially or completely been acquired. Big YouTube channels are really just businesses in the entertainment industry. Even independent creators still need to cover expenses; film equipment, software, location shoots. Most large channels depend on a single platform for the majority of their revenue. The algorithm can be problematic; you could replace the algorithm with audience and get a closer depiction of reality. To maintain profitability, the channel needs to make more revenue, which means more videos, more questionable sponsorships. Creators demonstrated their ability to scale their own brands; legacy media, which is large, centralized, rigid, and needs to be broadly appealing, is losing out to millions of individual creators who are flexible. If you can't beat them, buy them. Rolling up and hyper optimization is only going to accelerate a trend of every single piece of content on YouTube moving towards the same generic but effective formula. The content you watch is going to become more generic and safe within the parameters of what will optimize return. This shift also raises concerns about keyman risk and the loss of unique, creator-driven voices as hosts are replaced.

The episode dives into a world where AI-generated assets power multimillion-dollar revenue streams, including AI influencers who don’t exist in real life. The co-host discusses a person claiming $10 million in annual revenue from AI-driven content, generated and amplified entirely through AI ads. The conversation centers on practical pathways for individuals who want to earn substantial income with minimal initial capital, proposing a lean model of creating dozens of ads per month for businesses that already spend heavily on advertising. The core idea is to package AI-generated video, voice, and scripts into scalable offerings—either as standalone AI influencers or as agencies producing ads for clients. Roma Torres, an expert in AI-generated video at Arc Ads, explains how the technology evolved from static images to fully talking, lip-synced avatars and how brands are using these assets to build trust and drive engagement. The discussion covers the mechanics of building an AI actor, selecting scripts and emotions, controlling accents, and designing visuals that hook viewers within the first seconds. The hosts emphasize the importance of niche selection and audience targeting, noting that some markets, such as international language learners or services for people with disabilities, respond well to AI-generated content. They also note that the quality and relatability of voice, emotion, and gestures dramatically affect perceived realism and effectiveness. The episode moves into tactical applications: using AI actors for ads across mobile apps, e-commerce, and lead-generation services, as well as for full-fledged AI influencer campaigns. The conversation highlights how agencies can acquire clients by demonstrating the cost-efficiency of AI-produced content and by offering bundled services—like 20 ads a month for a fixed fee—creating recurring revenue. They discuss practical steps, from spying on competitors in ad libraries to scouting niches with high demand and using trend insights to tailor content. The broader takeaway is that the future of advertising increasingly blends automation, creativity, and strategic targeting to scale quickly, while recognizing that consistency, originality, and smart experimentation remain essential.

YouTube, founded in 2005 by former PayPal employees, has transformed video consumption, amassing 7 billion hours of monthly views. Initially a video dating site, it pivoted after recognizing a demand for easily accessible videos, leading to its rapid growth. By 2006, Google acquired YouTube for $1.65 billion. The platform became a cultural force, influencing politics and entertainment, with features like the Partner Program enabling users to monetize content. YouTube's impact is profound, reshaping media consumption and fostering a vibrant community, all stemming from a simple idea to share a video.