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/vs/shanghai-vs-toronto/  ·  updated 2026-05-08
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Shanghai vs Toronto

Shanghai and Toronto are close on tracked AI funding, so the interesting split is models, compute, and org depth. This page picks the chart shape from the data instead of forcing every comparison into the same visual.

RIVALRY
00 — Screenshot hook
PAIR SCORE 107.8 BOTH SIDES HAVE ENOUGH FUNDED ORGS FOR AN AREA CHART.
01 — Share of world
Shanghai 1/100 Toronto 1/100 rest of world 98/100
Together = 2% of all AI funding tracked worldwide.
Shanghai: 1.2% of world · Toronto: 1.0% of world
🇨🇳 Shanghai
1/100
$5.0B · #6 of 12
🇨🇦 Toronto
1/100
$4.1B · #7 of 12
SRC: epoch · forbes · cbi · manual-gaps 1 SQUARE = 1% OF WORLD AI FUNDING
01.5 — Why this comparison matters

The useful read hub vs hub

┌─ generated from funding, org, model, compute, and overlap signals ─────────────────────────────── ┐
Shanghai and Toronto are close on tracked AI funding, so the interesting split is models, compute, and org depth.
Shanghai's biggest carrier is SenseTime: $2.0B (39.7% of tracked side funding). Toronto's biggest carrier is Cohere: $1.6B (38.7% of tracked side funding).
The org treemap is shown because both sides have enough funded orgs for area to mean something.
Funding is HQ-based and limited to AI-native orgs. Compute is counted by datacenter location, so it can disagree with headquarters funding.
NOINDEX: KEEP USEFUL, AVOID THIN SERP SPAM CANONICAL /vs/shanghai-vs-toronto/
note — Shanghai runs 1.2× more AI capital than Toronto. Whether that translates to frontier compute is what the next chart shows.
— ai-race-map · methodology @ /m
03 — Org capital concentration
Shanghai's top 3 absorb 68% of tracked funding
Toronto's top 3 hold 91% of tracked funding.
top-heavy
🇨🇳 Shanghai 7 orgs · $5.0B
top 1 40%
top 3 68%
biggest carrier: SenseTime · $2.0B
🇨🇦 Toronto 7 orgs · $4.1B
top 1 39%
top 3 91%
biggest carrier: Cohere · $1.6B
Shanghai: 7 orgs · Toronto: 7 orgs. HQ-BASED AI-NATIVE FUNDING ONLY · TOP-3 ROWS SHARE THE HEADLINE BASIS
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