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JUST IN: Elon Musk says there is "no need" to save money because universal high income is coming
It feels pretty obvious at this point that someone’s going to make billions building a social app that’s just for friends, no AI slop, no brainrot, calm design, chronological feed and no concept of followers.
The specialist is dying. In 3 years, one creator with a laptop will outcompete a 10-person agency. This isn't a hot take. It's already happening. Welcome to the era of The Everything Creator. The space between what was and what's coming. Some see the fall. Others see the leap. ## The Collapse For decades, we separated skills into boxes. Designer. Developer. Marketer. Content creator. Strategist. You picked one. You went deep. You stayed in your lane. That model is breaking down. AI didn't create this shift. It just accelerated it. The skills that used to take years to learn are now accessible in weeks. Design. Code. Marketing. Content. Distribution. All merging into one person. The walls between disciplines are collapsing. And the creators paying attention are already walking through. The new archetype doesn't follow paths. They create them. ## The New Archetype This isn't about being a jack of all trades, master of none. The Everything Creator is something different. Skillfully versatile. Builds, markets, and ships with taste and intention. • Knows enough about design to create. • Knows enough about code to build. • Knows enough about marketing to distribute. • Knows enough about content to capture attention. And most importantly, knows how to learn fast and adapt faster. This is the new blueprint. My story A few weeks ago, I started building an app called BrandOS. It's an AI-powered OS that helps you build your brand's DNA. No coding background. No technical co-founder. Just me. Ideating. Prompting. Refining. Shipping. In one week, I had the foundation done. That's when it clicked. I just built software that solves real problems. By myself. If I can do it, so can you. ## Multi-Skilled Creators Become the Most Hireable Here's the reality brands and agencies aren't saying out loud yet. Knowing multiple skills is becoming the baseline. The creator who only knows how to post content is getting passed over for the one who also understands analytics, audience psychology, and conversion. But the real edge isn't just stacking skills. It's knowing how to market yourself. Attention is the asset now. The creators who can generate it and convert it into leads, customers, or on-chain users are the ones companies will fight to work with. > "You're not just a creative anymore. You're a one-person growth engine." That's what makes you valuable. Access changed everything. Now even the smallest idea can break through. ## The Solopreneur Surge There's a wave coming. Actually, it's already here. We're about to see more solopreneurs than ever before. Not because people suddenly got smarter or more ambitious. But because the tools finally caught up to the ideas. What used to be gatekept: • Building an app? You needed a developer or funding. • Designing a brand? You needed an expensive agency. • Learning a skill? You needed access or connections. Now? • Open-source libraries. • Free YouTube tutorials. • AI-assisted everything. The ideas that used to stay stuck in creators' heads are now becoming real products. Real businesses. Real revenue. You're seeing solo creators ship software and generate six figures. No team. No investors. No permission. Just leverage. > "The gap between idea and execution has never been smaller." And the creators who understand this are moving fast. Why hire five when one can shine in every direction? ## The Everything Creator as the New North Star Here's where it gets uncomfortable for some people. Specialists who only know how to do one thing are about to get outpaced. Not because specialists aren't valuable. They are. But the market is shifting toward efficiency. Why hire five people when you can hire one creator who understands all five functions? • Less spending on headcount. • More leverage through delegation and automation. • The new top talent isn't the person who goes deepest in one skill. It's the person who can do a lot and ship fast. What I've seen from the inside I've worked with agencies. Seen how they operate. Here's what I noticed. They often pay the creators with the most followers. But those aren't always the ones with the highest conversion. Sometimes they're not even close. It's the creators who are aligned with the brand, who understand marketing, product, and audience, that actually deliver results. The Everything Creator isn't just cheaper to work with. They're more effective. And the market always figures that out eventually. Inside the bubble, you learn what you're made of. ## The Journey I'm not saying this from the outside looking in. I've been building my brand for 3 years now. Started with NFT content when that space was booming. Experimented for a year or two. Then branched into personal branding, content creation, lifestyle. Areas that felt more aligned with who I was becoming. It's been a journey of ups and downs. The ups feel like flow. You're in your zone. Ideas are landing. Engagement is moving. You feel like you're onto something. The downs feel like fog. You're overthinking. Second-guessing approaches. Lost in your own head. Wondering if any of this is working. I've been in both places more times than I can count. What I learned through all of it Consistency beats intensity. Showing up regularly matters more than showing up perfectly. But being adaptive to trends that make sense for you is the growth hack most people miss. You don't chase every wave. You ride the ones that align with where you're already going. And the most powerful connection you make with your audience isn't intellectual. It's emotional. • Share your Ls. • Share your Ws. • Be relatable to their own struggles. • Talk about what you did when you failed. • Talk about what you learned when you won. That's what makes people feel connected to you. A year or two ago, I didn't know how to build a system for my brand. Didn't understand how to create content with intention or scale without burning out. Now I do. Brick by Brick. And that's the point. You don't need to have it all figured out today. You just need to keep building. ## The Takeaway So here's the question I want to leave you with. Where do you see yourself in 3-5 years? • Are you building toward specialist or generalist? • What skills are you stacking right now that will make you indispensable? AI isn't slowing down. The tools are only getting better. The gap between "I have an idea" and "I shipped it" is shrinking every month. The creators who adapt will thrive. The ones who resist will get left behind. > "The Everything Creator isn't a prediction. It's already here." The only question is: are you becoming one? Brick by Brick 🧱
We're feeding AI our best work for free, and nobody is talking about what happens next. AI will scrape every blog and social media post you publish. AI will scrape every single open-source code you share. AI will scrape every tutorial you record. And then, they will sell this info back to you in the form of tokens and soon, ads. The economics of the future of content creation are broken. If we don't fix this, we will regret it.
Film’s biggest night is headed to @YouTube, starting 2029.
the real quiet winners of the vibecoding revolution are domain registrars
we'll see more people selling .md files than courses soon mark my words
I asked my 430,000 followers for their favorite podcast episodes of 2025. Here are the 10 that came out on top:
Announcing Lovable raised $330M at a $6.6B valuation. We launched Lovable to empower the 99%, the people with ideas who don’t code. Now everyone is a builder: founders, teachers, artists, and teams inside the world's largest companies. Meet some of those incredible builders:
human data will be a $1 trillion/year market This is not a short-term prediction. It is a structural claim about where the economy converges. To believe this, you need to accept two assumptions: • Digital and physical intelligence can eventually automate the tedious parts of the economy • Self-learning intelligence without human data is impossible at the frontier automation is the most useful & liberating thing humanity can do If AI systems can automate functions, then automating all functions is the highest-leverage task for humanity. Automation compresses time. It allows: • Aspirations to be fulfilled faster, by orders of magnitude • Humans to focus on the enjoyable, judgment-heavy parts of work while robots and agents to handle the rest As humans gain time, they create more. Net-new work is initially creative and high-value. Over time it becomes legible, repeatable, and ready for automation. Once automated, it continues delivering value while freeing humans to focus on new creative work. This loop is permanent. Automation does not eliminate human work. It pushes humans toward higher-value, more creative work. At a societal level, automation reshapes the economics of the world. As AI systems take on more production and coordination, the cost of producing goods and services collapses while availability explodes. At the same time, distribution becomes increasingly optimal. Digitally and physically intelligent systems coordinate supply and demand with less friction, less waste, and less delay, making access faster, cheaper, and more reliable every year AI models learn from humans forever Every artificially intelligent system learns from humans in some form: • Demonstrations • Supervised fine-tuning • Preference learning • Complex rubrics and evaluations • Continual corrections Even self-play and synthetic data depend on human grounding — humans define objectives, rewards, and what “good” looks like. As a result: • Every function in the economy contains useful learning signal • Every decision, exception, failure, and tradeoff creates data But raw activity is not enough. That data must be: • Recorded • Structured • Evaluated • Packaged into usable pipelines And importantly, functions must continue running while they are being automated. Automation is iterative, not instantaneous. this creates a universal obligation and opportunity To iteratively automate functions, every company, government agency, or institution running real operations must consume and produce structured data related to those functions. In most cases, it will not be optimal for them to create or structure that data themselves, due to scale inefficiencies, high fixed costs, and the operational difficulty of producing high-quality, reusable structured data in-house. We already see this dynamic today. For example, many lawyers produce more leverage per hour working on standardized, structured legal data through platforms like micro1 than they do performing unstructured work inside individual law firms. At micro1, over 1,000 lawyers work in structured data creation and earn on average ~20% more than in traditional firm roles. Law firms themselves are unlikely to become large-scale producers of structured training data, but they will increasingly be consumers of that data, either directly or by having it embedded in the tools they use. This creates a powerful incentive structure. Labs that are automating functions will pay for this data, because long term the value gained from incremental automation far exceeds the cost of acquiring the data. As a result: • Entities are incentivized to produce high-quality human data not just to automate themselves, but because that data has external market value • Every hour of work can simultaneously: • Run the organization • Train AI models • Generate additional revenue for the organization Human labor becomes not just labor to produce goods & services, but a revenue-generating asset on its own. the ultimate convergence: 5%+ of human time is spent on human data It’s reasonable to think that most functions in the economy will spend some amount of time trying to automate themselves. Not fully, and not all at once, but continuously pushing work out of the human loop as it becomes repeatable and scalable. Today, even knowledge workers spend the majority of their time on communication and coordination rather than on what we would consider actual productive work. As automation advances, tedious parts of knowledge work are progressively removed, and automation increasingly absorbs coordination, scheduling, routing, and routine communication. The result is a larger share of human time being spent on judgment heavy knowledge work. Even under conservative assumptions, it is reasonable to expect that in a more automated economy roughly 75% of work time is still spent on communication and coordination, while about 25% is spent doing actual work. Not all of that work needs to be structured. But a meaningful fraction does. Work that produces decisions, judgments, demonstrations, evaluations, and exceptions becomes far more valuable when captured in a structured, reusable form, both to complete the task and to enable future automation. If only one fifth of that actual work is performed in structured environments, that implies roughly 5% of total human labor time is spent generating structured human data. With global GDP at roughly $100T, and labor representing about 50% of that, total labor spend is around $50T annually. Five percent of that corresponds to roughly $2.5T per year of human time directed at enabling automation, creating demonstrations, feedback, evaluations, and learning signals for AI systems. Certainly not all of this will become explicit spend in the human data market. Much of it will remain implicit, fragmented, or unpriced. But even with aggressive discounting, you still arrive at something on the order of $1T per year. automation reshapes labor, it doesn’t shrink it This results in automation scaling, As automation scales, some amount of what was spent on human labor is redirected towards: • Energy • Compute • AI labor However, total human labor spend continues to increase. Why? Automation creates time. Time enables creativity. Creativity produces net-new functions within the economy. Those functions are initially done by humans. Over time, they follow the same automation cycle. human labor gets more expensive because: • Human time is finite at any moment • Creativity and judgment are scarce • Net-new ideas command premium value As automation expands, humans concentrate more of their time on higher-leverage work. While total human hours do grow over time, that growth cannot be rapidly accelerated in response to demand. The fastest and dominant way the labor market expands is by increasing the value created per human hour. As this continues: • Total human labor spend rises • A larger share of human time is spent generating learning signals and enabling automation we should never call it annotation again The importance of this work in shaping AI means calling it “data labeling” or “annotation” is completely inaccurate. These phrases describe mechanical tasks, when the real value comes from human judgment, expertise, and decision-making expressed in structured form. A more accurate description is expert human data creation or structured human judgment. This is how human expertise compounds in an automated economy. It explains why human data scales with automation rather than disappearing, and why it becomes a first-class economic input over time. human brilliance is needed more than ever This does not require extreme assumptions. It only requires that automation continues to work, and that intelligence continues to learn from humans. If that is true, then human data is not a phase or a temporary bottleneck. It is a structural input to the economy. Human judgment is captured, structured, and refined. That judgment becomes the training substrate of intelligence. That intelligence, in turn, produces more automation. As functions are automated, human time is freed. That time is spent creating new functions to automate, and the beautiful cycle continues.
JUST IN: YouTube now allows US creators to receive payouts in crypto stablecoins.
If you build it, don’t forget to publish it
Publishing your work increases your luck
The great surprise of the technical and financial requirements being removed from coding and video creation is that all the same people are doing it—and that there hasn’t been an explosion of new software builders and filmmakers. After a decade of the media telling us that the most glamorous life is entrepreneur, filmmaker, or short-form video influencer: no one new jumps at the opportunity when the primary obstacles are removed.
if AI does everything how will people generate wealth
