Articles, research, and commentary on AI, Bitcoin, automation, and the digital economy — for people navigating what's happening.
While most people are still debating whether AI is real, a quiet redistribution of economic power is underway.
The shift in who controls AI tools, automation, and digital systems is already creating a new class of economic winners and losers. This isn't a prediction — it's a description of what's happening right now.
Read article →In 1995, not knowing how to use a computer was acceptable. In 2035, not knowing how to work with AI will carry the same professional cost.
There was a window — roughly 1985 to 2000 — when computer literacy went from optional to mandatory for professional life. We are in the equivalent window for AI literacy right now.
Read article →Getting good outputs from AI isn't about finding the right prompt. It's about understanding how to structure information for a reasoning system.
Most people who are disappointed by AI outputs are disappointed for the same reason: they're treating AI like a search engine. Context engineering is the discipline that changes that.
Read article →The people winning with AI aren't using better tools. They've built better systems.
There's a meaningful difference between someone who uses AI occasionally and someone who has built AI into their operating system. The second group has a structural advantage that compounds.
Read article →The businesses that adopt AI systems in the next 18 months will have a structural cost and speed advantage their competitors won't be able to close.
The window for small businesses to get ahead of their competitors on AI adoption is open — but it's closing. Here's what AI adoption actually looks like for a med spa, real estate agent, or service business.
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