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AXIOS (Zachary Basu) - AI's "centaur phase" consumes Silicon Valley Mon Feb 23 10:00:05 2026

A manic new phase of the AI boom is sweeping through Silicon Valley, powered by autonomous "agents" capable of liquefying weeks of manual labor into minutes. Why it matters: For now, the frenzy is largely confined to software engineering . But inside that bubble, the shift feels seismic — deepening the gulf between AI builders and bystanders. - "I've followed tech for 25 years and I've never felt a larger gap between the ~1 million people using Codex/Claude and the rest of humanity," tweeted James Wang, director of product marketing at Cerebras. The big picture: Anthropic CEO Dario Amodei recently described the current state of software engineering as the "centaur phase" — a reference to the half-human, half-horse creature of Greek mythology. - Just as a chess player aided by a computer could once beat any standalone machine, an engineer paired with an AI agent may now be the most powerful unit in tech. - Amodei argues that this hybrid phase may be "very brief" — perhaps only a few years before AI systems can independently outpace even the best human-led teams. Zoom in: Major AI labs have spent the past year pitching "agentic workflows" as the industry's next frontier. - That vision snapped into focus last month with the explosive rise of OpenClaw , an open-source tool that lets developers spin up AI agents to plan, code and ship software end to end. - Unlike chatbots that live in a browser or an app, OpenClaw gives agents "hands" on a user's local machine — letting them autonomously manage files, run terminal commands and message teammates. The popularity of the project was supercharged by Moltbook , a viral, AI-only social network where OpenClaw agents "hang out" and post autonomously. - OpenClaw became the fastest-growing repository in GitHub history, and its founder, Austrian developer Peter Steinberger, was poached by OpenAI to lead its "personal agents" division. - "[Steinberger] is a genius with a lot of amazing ideas about the future of very smart agents interacting with each other to do very useful things for people," said OpenAI CEO Sam Altman . "We expect this will quickly become core to our product offerings." Data: Anthropic ; Chart: Axios Visuals Zoom out: An agentic arms race is fully underway, with OpenAI, Google, Anthropic and xAI racing to roll out increasingly powerful systems. Inside Silicon Valley, the reaction has been breathless. - Angel investor Jason Calacanis says his firm "offloaded about 20% of our tasks to OpenClaw in 20 days" — and is pivoting its investment strategy to focus exclusively on OpenClaw-related startups. - The demand has been so intense that it's triggered a global shortage of high-memory Mac Minis, as developers scramble to build "always-on" agent servers. What they're saying: "This is the age of CEOs crushing 10 people's work with Claude Code in nights and weekends and I am so here for it," tweeted Y Combinator CEO Garry Tan. - "The fire in your belly that got you here never really goes out and now we are all cooking 20 hours a day." Reality check: There are major structural hurdles standing in the way of widespread agent adoption, including cybersecurity risks. - Meta and other tech firms have restricted or banned OpenClaw over fears that giving AI agents access to corporate systems could expose companies to malware, data leaks and manipulation. - The barrier to entry is also high: deploying and safely managing AI agents still requires technical expertise, computing power and a tolerance for experimentation that many workplaces lack. Between the lines: Nearly 50% of AI agent activity today is concentrated in software engineering, according to a new Anthropic report . Other fields are only just beginning to experiment. - "Agents are here. They are useful. They're not necessarily useful for everything yet, but we see them deployed in the wild across a wide range of domains," Anthropic researcher Miles McCain told Axios. The bottom line: Software was always likely to be the first domino. The people building AI are software engineers themselves — making the industry both the proving ground and the hype machine for agent adoption.