A measure of how new AI technologies emerge — moving from early research toward real-world capability, across China and the world. Built with universities and research institutions.
What it measures
Emergence is the moment an AI technology stops being a lab result and starts becoming a capability people can use. The index is designed to make that transition visible and comparable over time. The measurement framework below is provisional while the methodology is finalized with our research partners.
Publication, citation, and open-source signals that show where new AI ideas are gathering pace.
How far a technology has moved along the path from prototype to dependable, deployable capability.
Real uptake in products, startups, and institutions — the sign a technology has genuinely emerged.
The shape of the index
Illustrative structure — not live data. Real values will appear at launch.
How it's built
An index is only as trusted as its method. Ours is being designed to be examined, questioned, and cited.
Developed together with universities and research institutions, not behind closed doors.
The full method — sources, weights, and definitions — will be published and versioned openly.
Refreshed at a regular cadence so the picture stays current and changes are traceable.
Underlying data downloadable, charts embeddable — made to be quoted by press and researchers alike.
At launch
Filter by technology, region, and time to find the story you care about.
Take the underlying numbers in open formats for your own analysis.
Drop a live chart into an article or report with one line of code.
Every figure traces back to a documented source and method.
The series
Emergence is the first. The series grows as each index is researched, built, and launched.
Emergence index — methodology and data partnerships underway.
First public release of the Emergence index. Date to be announced.
The next index in the series.
Released as the series grows.
We'll email you once — when the Emergence index goes live.