Scrolled past this chart last week and went down a black hole. It's from a book called Bitcoin One Million. It predicts when AI replaces entire professions. Doctors. Lawyers. Coders. Teachers. Surgeons. All on a timeline. I'm not attached to the dates. Could be off by a decade. That's not the point. The question I keep sitting with: what are the odds the direction is right? Gary Keller once quoted Andy Grove in a mastermind: complacency is what kills great organizations. You don't lose because you saw the wave coming. You lose because you convinced yourself it wasn't real. Same energy here. If there's a 60-70% chance AI reshapes most of what we call "work" within our lifetime, the rational move is to prepare now. Even if the dates are wrong. The harder question isn't economic. It's human. What happens to a person's sense of meaning when their job disappears? I've always kept thoughts like this in my journal. Starting to share them out loud. If you want to read where this one went, I published the full piece on Substack over the weekend. → https://open.substack.com/pub/shoney/p/when-work-disappears When you look at a chart like this, what's your honest first reaction?

You've seen it. The listing description that sounds like every other listing description. The email response with em dashes in it that missed the context of the original message entirely. It's not an AI issue. It's a laziness issue. If you're not putting your fingerprint on what AI drafts, you're just forwarding someone else's words. Most people's sequence: AI Drafts → Post / Send Smart AI users: AI Drafts → Add context to improve the draft → Make a few tweaks to keep the human element → Post / Send Takes 2 extra minutes. Maintains trust in an ever increasing digital world. Make it sound like you actually wrote it. Your opinion. Your expertise. Use the tool but own the output. What's one edit you make to AI-generated content before it goes out?

One of the more interesting AI stories right now has nothing to do with a new model release. Last year the Pentagon handed out $200M contracts to four AI companies — Anthropic (Claude), OpenAI, Google, and xAI. Same tools most of us use to write content, think through deals, run our businesses. Of those four, Anthropic's Claude ended up being the only one cleared for the Pentagon's classified networks. That's not a small thing. Then it got complicated. The Pentagon wanted contract language letting Claude be used for "all lawful purposes." Anthropic agreed to support the military broadly. But they held two lines: No fully autonomous weapons making lethal decisions without a human involved. No AI-powered mass surveillance of American citizens. Their CEO said they "cannot in good conscience" remove those safeguards. The Pentagon called them a supply chain risk. Contracts are being phased out. I'm not here to say who's right. What got my attention is simpler. we're watching an AI company walk away from hundreds of millions of dollars because of where they drew their ethical lines. And it raises a question worth thinking about for anyone building on these tools: When you pick your AI stack, how much do the values behind the company matter to you — not just how smart or capable the model is? What's your take?

Perplexity just dropped something worth paying attention to. Perplexity Computer isn't a chatbot. It's an AI worker that takes a goal, breaks it into tasks, spins up multiple sub-agents, and runs them in parallel until the work is done. Research, drafting, data processing, API calls. It uses different AI models for different parts of the job and routes each step to whatever model handles it best. The name comes from the original definition of "computer" — a person who autonomously divided and completed complex calculations. Same idea, different era. Still early, but this is what the shift from AI assistant to AI operator looks like in practice. Who's already using Perplexity in their workflow?

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