Live Intelligence Feed

Artificial Intelligence Situation Room

Tracking how AI is reshaping our world — from lab benchmarks to factory floors, from Wall Street hype to real-world adoption._

How Far Has AI Actually Spread?
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These four dimensions show where AI has gone mainstream vs. where it's still niche. From people Googling "AI" to robots on factory floors — this is the full picture of how far AI has actually spread.
Not just hype — this index measures real adoption across four dimensions: public awareness, enterprise tools, developer ecosystems, and industrial automation.
The Road to Superintelligence
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AGI — Artificial General Intelligence — means AI that can do anything a human can. Today's AI is great at specific tasks, but true AGI would need brains, digital skills, AND physical ability. We're only as close as the weakest of the three.
How close are we to AI that can think, act, and build like a human? We measure three pillars — and the weakest link holds everything back.
Is AI Overhyped?
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Think of the dot-com boom — when excitement outran reality, the bubble popped. This score measures whether AI excitement has outpaced what AI companies are actually delivering. Higher means more hype, less substance.
When public excitement outpaces real value creation, bubbles form. This index compares hype growth against actual market returns and deployment.
Who's Winning the AI Race?
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What makes a country an AI superpower? Talent, money, chips, and data. This ranks nations by who has the infrastructure, brainpower, and cutting-edge models to lead the AI revolution.
Countries ranked by infrastructure, hardware, patents, research output, and the quality of their best AI models.
INFRA HARDWARE PATENTS RESEARCH MODELS
How Fast Is AI Getting Smarter?
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Think of Moore's Law — but for AI brainpower. This tracks how many months it takes the smartest AI model to double its benchmark score. If this number is shrinking, AI progress is accelerating.
Tracking the exponential curve of frontier AI intelligence scores. Lower doubling time = faster progress. If the recent rate is below the overall rate, intelligence growth is accelerating.
AI Model Leaderboards
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Think of this as a sports league table for AI. Which models are the smartest, the best coders, or the most creative artists? Each tab ranks the top contenders in a different skill.
Every ranking type we track — intelligence, coding, agentic capability, image generation, and open-source models — all in one place.
Where People Use AI
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The most popular AI tools people actually visit, ranked by monthly web traffic. This shows which platforms are winning the race for everyday users.
Monthly visits to the biggest AI chatbot platforms. One player dominates — but the field is growing fast.
AI Agents: The Developer's Toolkit
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AI agents are tools that let AI do tasks on its own — like browsing the web, writing code, or managing your calendar. These are the most popular open-source toolkits developers use to build them.
Open-source frameworks powering the next wave of autonomous AI agents. GitHub stars reflect developer interest and community momentum.
AI in the Real World
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Beyond chatbots — where AI is actually showing up in factories, offices, and warehouses. Robots on assembly lines, AI tools on workers' desktops, and the trend arrows show whether it's speeding up or slowing down.
Beyond chatbots — how AI is transforming workplaces and factory floors. Trend arrows show change from the previous data point.
AI on Wall Street
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How investors are betting on AI — are they bullish or cooling off? ETFs are baskets of AI-related stocks. When prices climb, Wall Street believes in AI's future. When they dip, doubts are creeping in.
How AI-themed exchange-traded funds are performing over time. Full price history charted, plus a summary table.
ETFLatest PriceEarliest PriceChange
Global AI Infrastructure
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The physical backbone behind AI — who has the datacenters, chip factories, and research labs. You can't build world-class AI without world-class infrastructure, and these numbers show who's invested the most.
The raw numbers behind the AI Power Index — datacenters, chip factories, patents filed, and research papers published, broken down by country.