Five worlds are changing at the same time. I’m watching from Berlin, and I can’t look away.
The first world is Silicon Valley. A hundred and nine billion dollars in private AI investment in a single year. Companies valued at more than most countries produce. Engineers building systems that pass bar exams, write legal briefs, diagnose diseases, compose music, and do it before their morning coffee gets cold. Jeff Bezos just announced a hundred-billion-dollar AI manufacturing fund. OpenAI is planning an IPO at eight hundred and thirty billion, and they’re not profitable. Won’t be until 2030. This world moves so fast that its own creators admit they don’t fully understand what they’ve built. Sam Altman, the CEO of OpenAI, calls it the Gentle Singularity. Gentle. As if a tidal wave could be gentle because it arrives on a sunny day.
The second world is China. Fifteen leading AI models. Forty million humanoid robots planned. DeepSeek as the budget alternative that made Western investors nervous overnight. A country that doesn’t ask whether AI is ethical. It asks whether AI is fast enough. And while the West debates regulation, China publishes. Deploys. Iterates.
The third world is India. And India is where things get interesting for this book.
In February 2026, the largest AI summit ever hosted by a developing nation took place in New Delhi. Over a hundred countries. Twenty heads of state. The CEOs of Google, OpenAI, and Anthropic flew in. India set a Guinness World Record at that summit: a quarter of a million people signed AI responsibility pledges in twenty-four hours. But the story that stayed with me wasn’t about records or speeches. It was about a dairy farmer.
Three and a half million women in India now use an AI assistant called Sarlaben (built by the AMUL cooperative) to get real-time advice on cattle health, milk yield, and feed timing. In their own language. On phones that cost less than a dinner in my neighborhood. No venture capital origin story. No Stanford dropout. Just a cooperative asking: what does this farmer actually need?
“Frugal AI isn’t about limiting ambition. It’s about designing for reality.”
— Cambridge Frugal AI Hub
The fourth world is Africa. In Kenya and Nigeria, farmers talk to AI chatbots in Swahili and Yoruba. Egypt has built Karnak, a national language model. The African Development Bank launched an initiative for forty million new jobs.
Five worlds. Five speeds. Five different answers to the same question: what happens when machines start doing what people used to do?
And the fifth world is mine. Europe. Germany, specifically. A country that wrote the rules for AI before it played the game. A country that has declared AI the “highest priority” three times in eight years, and each time followed up with a committee rather than a product.