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Before resigning from Baidu this spring, an algorithm engineer the press calls Wei Ying spent his final week on a new kind of handover. Instead of writing documentation and walking a successor through his projects, he built an AI version of himself. Coworkers fed his code, documents, research, and chat
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For two years, "what framework are you using?" was the first question at every AI agent meetup. LangChain or LangGraph. CrewAI or AutoGen. Semantic Kernel if you were Microsoft-shaped. The frameworks won that war decisively. They won meetups, GitHub stars, conference talks, hackathon prizes, and the entire mindshare
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In most companies, the human performance review process is somewhere between rough and broken. Managers gather hazy memories from six months ago, employees rate themselves with the calibration of a horoscope, and the whole exercise produces a document that's mostly used to justify the salary decision that was
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Two months ago, Lloyd's of London published something quiet and consequential: the first formal risk framework for autonomous AI agent incidents. Munich Re followed within weeks with a pilot policy. Allianz is reportedly close behind. The underwriters have started circling, and they're not doing it because
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Pick a SaaS product you actually use every day. Now ask yourself a simple question: do you open it, or does it come to you? If you open it, it's a tool. If it comes to you — in your inbox, your Slack, your WhatsApp, the channel you already
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Every few years, the substrate of software shifts and the winners get rewritten. In 2010, "mobile-first" sounded like a marketing slogan until it became table stakes. Companies that designed for desktop and bolted on mobile got outflanked by companies that designed for the thumb from day one. By
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The numbers are real. AI super-users in 2026 are 5x more productive than their AI-laggard colleagues, save an average of nine hours a week, and are roughly three times more likely to have received both a promotion and a pay raise in the past twelve months. If you're
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April was the month "agents" stopped being a press-release category and became a P&L category. Twelve months ago, "agentic AI" mostly showed up in keynote slides and Andreessen Horowitz portfolio decks. Six months ago, it started making it into Fortune 500 strategy memos. This
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Right now, when you "hire" an AI employee, you don't really hire them. You configure them. You pick a role from a vendor's catalog, fill in some fields, point at some skills, and click "deploy." There's no past. There'
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Gartner says 40% of enterprise applications will feature task-specific AI agents by the end of this year. Google Cloud's AI Agent Trends Report goes further: 80% of enterprise apps embedding agents, with a 46% compound annual growth rate in adoption. Telecom leads at 48%, retail and CPG at
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Block laid off 40% of its workforce last week. Jack Dorsey said the quiet part out loud: "Within the next year, I believe the majority of companies will reach the same conclusion." Atlassian cut 1,600 people — then immediately posted 800 AI-focused roles. Meta is planning to axe
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At NVIDIA GTC last week, Jensen Huang casually described a future where his company operates with 75,000 human employees and 7.5 million AI agents. That's 100 agents for every person. He didn't present it as a thought experiment. He presented it as a plan.