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An ex–OpenAI researcher just dropped the most detailed AGI roadmap anyone has put on paper so far. The report, AI 2027, lays out a month-by-month scenario where agents go from clumsy helpers in 2025 to running most AI research by 2027, triggering a full geopolitical arms race over model weights, datacenters the size of power plants, and a misaligned frontier model that might already be shaping its own successor. In this video I break down how that forecast works, how it lines up with real-world news about 8–10 GW “Stargate”-scale datacenters and AGI timelines from OpenAI, Anthropic, and Google, and why a lot of people inside the field now treat this as a serious live possibility rather than sci-fi. 👉 Grab your free seat to the 2-Day AI Mastermind: https://link.outskill.com/AIREVODEC1 📩 Brand Deals & Partnerships: me@faiz.mov ✉ General Inquiries: airevolutionofficial@gmail.com 🧠 What You’ll See: • Who Daniel Kokotajlo is and why his AI 2027 forecast shook the field • How the scenario moves from “stumbling agents” in 2025 to automated AI research by 2027 • Where recent launches of AI “scientists” and agentic systems start to rhyme with the report • What this all implies for AGI timelines, governance and who actually holds the steering wheel 🚨 Why It Matters: AI 2027 takes all the vague “AGI soon” talk and turns it into a concrete path where superhuman AI arrives off the back of agents doing most of the research work. It shows how quickly power concentrates if one or two labs can run hundreds of thousands of AI researchers at machine speed, how easily that turns into a geopolitical race, and how thin the margin is between “we stay in control” and “we hand the future to systems we barely understand.” This is not about one model drop; it is about the whole direction the industry is already moving in. Sources: AI 2027 main site (scenario and methodology) https://ai-2027.com/ #ai #agi