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Blog, YouTube & Content Monetization

The content platform strategies that turn audience attention into diversified income. This sub-forum connects the social and content creation work happening across the community's platforms to the monetization layer — how to turn blog traffic into email subscribers into product buyers, how to monetize a YouTube channel before it reaches monetization thresholds, how to build a newsletter that generates revenue from day one, and how to structure content output for compounding returns rather than one-time traffic spikes. Strong connection to the community's own YouTube channel and social strategy.

  1. AI isn’t eliminating human work. It’s redistributing human judgment, away from routine tasks and into the narrow zones where ambiguity is high, mistakes are costly, and trust actually matters. This shift helps explain a growing disconnect in the AI conversation. On one hand, models are improving at breathtaking speed. On the other, many ambitious AI deployments stall, scale more slowly than expected, or quietly revert to hybrid workflows. The issue isn’t capability. It’s trust. The trust gap most AI strategies overlook AI adoption doesn’t hinge on whether a system can do a task. It hinges on whether humans are willing to rely on its output without checking …

  2. For decades now, we have been told that artificial intelligence systems will soon replace human workers. Sixty years ago, for example, Herbert Simon, who received a Nobel Prize in economics and a Turing Award in computing, predicted that “machines will be capable, within 20 years, of doing any work a man can do.” More recently, we have Daniel Susskind’s 2020 award-winning book with the title that says it all: A World Without Work. Are these bleak predictions finally coming true? ChatGPT turns 3 years old this month, and many think large language models will finally deliver on the promise of AI replacing human workers. LLMs can be used to write emails and reports, summari…

  3. When I was Chief of Staff at CoinDesk, I was in charge of the publication’s approach to AI. One of the earliest debates our internal AI committee had was about whether we should allow AI to index our articles or not. Most of the people on the committee thought we should block AI crawlers. While the fury of media copyright lawsuits had yet to begin, the issue had gotten some traction, and it was easy to make the case that we shouldn’t give our content away to AI companies to summarize unless we were compensated in some way. But one person boldly made the case for the other side: He argued that, if AI becomes the new way people find information, shutting ourselves o…

  4. In 2014, Stephen Hawking voiced grave warnings about the threats of artificial intelligence. His concerns were not based on any anticipated evil intent, though. Instead, it was from the idea of AI achieving “singularity.” This refers to the point when AI surpasses human intelligence and achieves the capacity to evolve beyond its original programming, making it uncontrollable. As Hawking theorized, “a super intelligent AI will be extremely good at accomplishing its goals, and if those goals aren’t aligned with ours, we’re in trouble.” With rapid advances toward artificial general intelligence over the past few years, industry leaders and scientists have express…

  5. For some evangelical Christians, faith is about having a personal relationship with Jesus. At $1.99 per minute, the tech company Just Like Me is taking that concept to a new level. Users of the platform can join video calls with an avatar of Jesus generated by artificial intelligence. Like other religious AI tools on the market, it offers words of prayer and encouragement in various languages. With the occasional glitch, it remembers previous conversations and speaks through not-quite-synced lips. “You do feel a little accountable to the AI,” CEO Chris Breed said. “They’re your friend. You’ve made an attachment.” The rush to create faith-based generative AI is…

  6. Fake accounts have been around as long as social media. So when it was recently revealed that a “hot girl” MAGA personality named Emily Hart was actually a 22-year-old male medical student in India, it might have seemed a little mundane. Just another catfisher, another sock puppet, another scammer—the internet is full of them. Except this one had photos. And videos. And thousands of followers across multiple networks with some posts getting millions of views. Emily Hart was a full-on influencer, not just some anonymous egg. The person who created Emily confessed to Wired that while the account was active, he was making thousands of dollars every month from posting sof…

  7. In April 2025, Lucy Guo became the youngest female self-made billionaire after Meta paid $14.3 billion for a 49% stake in Scale AI, the company she cofounded with Alexandr Wang in 2016. Though Guo had left the company—which builds infrastructure and software to create AI applications—over disagreements with Wang in 2018, she retained her 5% stake in the business, which skyrocketed in value after Meta’s investment. In 2022 she reemerged with Passes, a platform that helps creators monetize their social media followings by selling access to exclusive offerings—from products and merch to pay-by-the-minute private phone calls. As of February, the company has raised a total …

  8. Recently, one of us was guest-teaching a humanities class on artificial intelligence. He asked students a simple question. Had they noticed themselves becoming more “attached” to their favorite chatbot? “For example,” he asked, “do you find yourself saying ‘please’ and ‘thank you’ to the chatbot more than you used to?” Nearly every head nodded. “Why?” he asked. One student raised her hand. “So if AI does take over,” she said, “it’ll remember that I was nice to it.” The class laughed—but not entirely. The fear and hype around AI When we see public conversations about AI, they tend to swing wildly between hype and catastrophe. On one end, we see promises of unprecedente…

  9. I work in front of a screen. And I’ve been thinking about how AI will change my work. What does it even mean for my future? It’s completely normal to wonder about this. Most people are convinced artificial intelligence is a threat to their careers. But what they are forgetting is the human value they bring to their work. Aaron Levie, CEO of the enterprise cloud company Box, recently pointed out that when people watch AI at work, they are most likely seeing it take over the first 80% of a task—the heavy lifting of repetitive processing. The last 20% is where you come in. Your domain expertise, judgment, and relationships. That is what makes you irreplaceable. AI can final…

  10. For years, leaders advanced by outperforming others, knowing more, producing more, delivering more. Performance earned authority. That equation has changed. Artificial intelligence now generates ideas, analyses, and strategies in seconds. What once set strong performers apart, speed, output, and insight, is no longer a differentiator. As AI expands what leaders can produce, something else is becoming clear. The leaders who stand out are not the ones with the most information. They are the ones who project confidence, clarity, and credibility when it matters most. Leaders are no longer evaluated primarily on what they know. They are evaluated on how they lead w…

  11. As businesses race to become AI-ready, job seekers are racing just as quickly to keep up. New data shows that candidates are getting the message: AI skills are showing up more often on resumes. But this change is exposing a deeper disconnect: the labor market increasingly rewards AI fluency, while the education system often discourages it. According to a new report from Monster.com, the number of resumes that mention AI skills has surged in just two years, going from 3.7% in 2023 to 12.8% last year. Per the report, the most notable increase was from 2024 to 2025 when the number of mentions ticked up by 7.6 points. The previous year, it only accelerated by 1.5 poin…

  12. In the movie The Perfect Storm, three large weather events converge, creating a storm bigger than the sum of its parts. As overused as the metaphor might be, it’s a good one for what’s happening to leaders globally right now. This storm involves the widespread integration of mainstream AI tools like ChatGPT, Gemini, and Claude into organizational workflows, and three large, interacting, non-obvious effects of this trend on leaders at all levels. Unchecked, research suggests, artificial intelligence could bring a toxic force to bear on how leaders build and reinforce their cultures. Trend one: Leaders are already overwhelmed and thinking poorly The first trend involves t…

  13. There’s a quiet trade-off happening inside high-growth companies right now. We’re moving faster than ever, and teams are more efficient. AI is handling work that used to take hours, and asynchronous communication means decisions don’t have to wait for meetings. On paper, it’s all an upside. But underneath the speed, something else is happening. Leaders are moving further away from their teams. Not intentionally and not dramatically—just gradually enough that you don’t notice it until alignment shifts: decisions that need to be revisited, priorities that aren’t as clear as you thought, or challenges surfacing later than they used to. The assumption that new…

  14. It’s almost become cliche for employers to express concern about Gen Z’s lack of training in the social skills necessary for life in the office. Employers want new recruits with a certain level of professionalism—the ability to casually converse with office higher-ups, or negotiate with their own managers—that they just haven’t had the ability to practice, especially after coming of age during pandemic restrictions and widespread remote work, says Tigran Sloyan, CEO of worker assessment and learning platform CodeSignal. “When you’ve just come out of college, you’ve never really worked anywhere, so it’s very hard,” he says. To help fill that gap, CodeSignal on Wednesda…

  15. AI companies love to make bold claims about healthcare. Alphabet’s Isomorphic tells us that “frontier AI can unlock deeper scientific insights, faster breakthroughs, and life-changing medicines.” Lila confidently markets its AI as a tool for “faster discovery for every field where breakthrough science matters.” And they’re spending as though they believe the hype. Anthropic recently acquired stealth startup Coefficient Bio for $400 million. But there’s only one true test of any healthcare AI: Did it work in humans? Did it create a medicine that saved someone’s life? And bluntly, most companies have not achieved that. Let’s look at the number of treatments brought to mar…

  16. The line between human and machine authorship is blurring, particularly as it’s become increasingly difficult to tell whether something was written by a person or AI. Now, in what may seem like a tipping point, the digital marketing firm Graphite recently published a study showing that more than 50% of articles on the web are being generated by artificial intelligence. As a scholar who explores how AI is built, how people are using it in their everyday lives, and how it’s affecting culture, I’ve thought a lot about what this technology can do and where it falls short. If you’re more likely to read something written by AI than by a human on the internet, is it …

  17. Becoming a chartered financial analyst (CFA)—a certification that requires thousands of hours of professional experience, as well as taking a very rigorous exam; Investopedia calls it “one of the most respected designations in finance”—is no easy feat. That is, until now. Two years ago, AI models could only pass the first two sections of the prestigious, three-part exam. The essay section, however, had it stumped. And yet, in a new study from New York University’s Stern School of Business and GoodFin, an AI-powered wealth management platform, advanced AI like Gemini 2.5 Pro and Claude Opus passed the exam with flying colors. What would’ve taken a human 1,000 hour…

  18. Teaching machines in the way that animal trainers mold the behavior of dogs or horses has been an important method for developing artificial intelligence and one that was recognized Wednesday with the top computer science award. Two pioneers in the field of reinforcement learning, Andrew Barto and Richard Sutton, are the winners of this year’s A.M. Turing Award, the tech world’s equivalent of the Nobel Prize. Research that Barto, 76, and Sutton, 67, began in the late 1970s paved the way for some of the past decade’s AI breakthroughs. At the heart of their work was channeling so-called “hedonistic” machines that could continuously adapt their behavior in response to posi…

  19. Artificial intelligence is helping knowledge workers do things that weren’t previously possible, according to a new report from Microsoft. In the company’s 2026 Work Trend Index report, which includes results from a survey of 20,000 knowledge workers who use AI at work, 66% of the AI users surveyed say that AI allows them to spend more time on high-value work, and 58% reveal that they’re producing work they couldn’t have produced just one year ago. That number rises to 80% among a category of AI power users Microsoft dubs “frontier professionals.” “Instead of just automating away what people used to do, and that’s an efficiency gain, what we’re seeing is much more…

  20. When film cameras were invented, people didn’t become filmmakers overnight. We pointed cameras at theater stages, digitizing what already existed. It took us a while to reimagine what film cameras could unlock. The real opportunity wasn’t recording theater plays. It was stepping outside and inventing cinema. That’s where many nonprofits are with AI today. Most still layer it on top of existing processes, not because they don’t care about innovation, but because they lack both the frameworks to identify the right use cases and the capacity to act on them. True innovation starts when organizations have the space, skills, and confidence to reimagine how impact itself is …

  21. Ask any C-suite leader if AI is a priority in their organization. The answer is yes. The numbers back it up. Menlo Ventures reports that companies spent $37 billion in 2025 on AI. But spending does not guarantee success, and many companies are now coming out of major rollouts with little to show for it. Adoption is low, productivity hasn’t increased, and ROI is still an idea on a slide because organizations handed AI to their IT team like it was new software to install and called it a rollout. Deploying AI is a workforce strategy that demands behavior change and a new operating model. It’s not a technology rollout. It’s a workforce and culture transformation. …

  22. Started by ResidentialBusiness,

    OpenAI, Meta, and Elon Musk’s xAI are not accidentally drifting into romance and sex. They are deliberately inviting it. In recent months, major AI companies have opened the door to romantic and sexual relationships between humans and machines: flirtatious chatbots, erotic roleplay, AI “girlfriends,” and emotionally dependent companions. These systems are designed not merely to assist or inform, but to bond—to simulate intimacy, desire, and belonging. This is not a novelty feature. It’s a strategic choice. And at scale, it represents something far more dangerous than a questionable product decision. WHY AI COMPANIES ARE ENCOURAGING INTIMACY Romance is the m…

  23. Scam calls are turning the world on its head. The Global Anti-Scam Alliance estimates that scammers stole a staggering $1.03 trillion globally in 2023, including losses from online fraud and scam calls. Robocalls and phone scams have long been a frustrating—and often dangerous—problem for consumers. Now, artificial intelligence is elevating the threat, making scams more deceptive, efficient, and harder to detect. While Eric Priezkalns, an analyst and editor at Commsrisk, believes the impact of AI on scam calls is currently exaggerated, he notes that the use of AI by scammers is focused on producing fake content, which looks real or on varying the content in messages d…

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