The internet democratized access to information — then consolidated into a handful of gatekeepers. LLMs are democratizing what you can do with that information. And that's much harder to consolidate.
Mainframes consolidated. PCs fragmented. Cloud consolidated again. AI is triggering the next fragmentation — and it's the biggest opportunity in software since the personal computer.
QuickBooks is designed for millions of businesses. Mine has one user, one company, and an AI operator who reads every transaction. That changes everything about how accounting software should work.
Rick Rubin doesn't play instruments. He produces albums that define generations. The gap between taste and execution has always been the bottleneck — until now.
I'm running six AI agents on one Mac Studio, each as its own macOS user. OpenAI just acquired the creator. Here's what actually matters this week.
Corporate culture trained us to chase data and justify decisions. AI does that better than we ever could. What it can't do is the part that actually matters — and that realization is changing how I lead.
Mass-market software is off-the-rack — designed for millions, perfect for nobody. For the first time, individuals can commission software that fits exactly how they think and work.
The same four-phase pattern that accelerates software development works for content. Here's how to build a pipeline that turns raw ideas into published work — and compounds over time.
AI is democratizing technical ability at unprecedented speed. The new competitive advantage isn't coding skill—it's understanding what to build and why it matters.
The most exciting opportunity in AI isn't building better models. It's bringing existing capabilities to industries that haven't adopted them yet.
We're optimizing our workflows while AI optimizes its own. The gains compound faster than anyone expected. Here's how I'm actually using this — and why the same pattern works beyond software.
The only AI metric that matters isn't capability — it's whether AI can produce an outcome cheaper than a human, including the cost of checking its work. And the bottleneck isn't the technology. It's our willingness to change how work gets done.
I run OpenClaw daily. It monitors my builds, generates images on my Mac, and keeps me focused on what matters. It's also dangerous enough that I'm telling most of my friends to stay away.
The internet connected what existed. This creates what doesn't. That's why software's moment isn't like YouTube or podcasts — it's the long tail of creation finally becoming economically viable.
The 100x developer is a meme. The 100x solo operator is a business model. Here's what it actually looks like to run a company with AI as every department.
Every session starts fresh. Same context-setting. Same preferences. Same constraints. There's a better way — and it takes one file to fix.
If you aren't building your own algorithm, your attention is being monetized for someone else's benefit. Custom software isn't a luxury anymore — it's how you take back control.
You're not a specialist anymore. You're a CEO with digital workers in every department. The question is whether you're ready to lead them.
Models can infer, synthesize, and execute. But they can't set aspirations, exercise judgment, or think orthogonally. These are the skills to build a career on.
The front door is closing. Training programs are disappearing. But this isn't about agents replacing humans—it's about humans who can lead agents.
The half-life of acquired skills is decreasing rapidly. This isn't a crisis—it's the greatest democratization of opportunity in a generation.