How your world's health is drawn
Your world's health is a scale we designed, not something we measured. We compare your weekly AI use with 7.24 times the average person's share of all data-centre electricity, which is about 971 Wh a week (415 TWh a year shared by 8.2 billion people). A world never drops below 15% health: it rests, it doesn't die.
We picked that multiplier so two promises hold whether we use our middle estimates or our high ones (mid and high). When we test "what if the high numbers are true?", we apply them to everyone, including the average person's share, so we compare like with like:
- someone asking an AI 50+ times a day, with no pictures or videos, stays healthy (80% or more);
- someone making a lot of AI videos looks clearly stressed (under 50%).
With our lowest estimates both promises can't hold at once (the lowest published video figure comes from an older, tiny model), so there we only keep the order: a video-heavy week is never shown healthier than a text-heavy one. The script that checks this runs on every build, and the build fails if a promise breaks.
Health is a designed scale: your weekly AI use compared with k x (all data-centre electricity per person). k sits in the middle of the range where the guardrails hold at the mid and high figures [5.37, 9.76). At the low figures only the order is kept: a video-heavy week is never healthier than a text-heavy one. Derived 2026-10-01.
The numbers
Nobody outside the AI companies can measure a single question exactly. So we start from what companies have published, add independent research, and always keep a low, middle and high estimate. Your world is drawn from the middle; the panels in your world show the whole range.
The quiz turns answers into amounts: 1 / 6 / 30 / 80 questions a day, 0 / 3 / 20 pictures a week and 0 / 1 / 5 short videos a week. "A lighter AI" uses the lowest published figure for questions and pictures.
Constants version 3 · e1530fef40b95998 · built 2026-10-01
AI buildings on the globe
Each glowing block on the globe is a region with many data centres ("AI buildings"). Its size follows the region's power capacity on a gentle scale, so the biggest region doesn't swallow the map. Published figures measure different things, and we say which for each one.
| Region | Megawatts | What the figure counts |
|---|---|---|
| Northern Virginia, United States | 3,046–11,300 | mixed: colocation inventory (low) to total operational incl. self-built (high) |
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| Beijing, China | 1,799 | power consumption ranking |
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| London, United Kingdom | 1,189–1,380 | operational capacity (H1 2025 to Sep 2026); mid is the geometric middle |
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| Atlanta, United States | 1,279 | colocation inventory |
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| Dublin, Ireland | 1,150 | power consumption ranking |
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| Dallas-Fort Worth, United States | 1,067 | colocation inventory |
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| Amsterdam, Netherlands | 927 | operational capacity (Q2 2026) |
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| Chicago, United States | 905 | colocation inventory |
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| Johor, Malaysia | 897 | operational capacity (2025) |
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| Singapore, Singapore | 876 | power consumption ranking |
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| Tokyo, Japan | 865 | power consumption ranking |
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| Sydney, Australia | 786 | operational capacity (2025) |
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| Frankfurt, Germany | 745 | live IT load (mid-2025) |
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| Paris, France | 600–862 | existing capacity; mid is the geometric middle |
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| Seoul, South Korea | 698 | colocation inventory |
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| Mumbai, India | 670 | colocation inventory |
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| Phoenix, United States | 617 | colocation inventory |
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| Hong Kong, China | 581 | operational capacity (2025) |
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| São Paulo, Brazil | 493 | colocation inventory |
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| Silicon Valley, United States | 489 | colocation inventory |
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| Hillsboro, Oregon, United States | 475 | colocation inventory |
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| Shanghai, China | 429 | listed facilities |
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| Stockholm, Sweden | 340 | operational capacity |
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| Greater Jakarta, Indonesia | 322 | operational capacity (2025) |
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| Dubai, United Arab Emirates | 250 | operational capacity |
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| Johannesburg, South Africa | 180 | operational capacity |
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| Riyadh, Saudi Arabia | 180 | operational capacity |
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| Santiago, Chile | 148 | colocation inventory |
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We changed our numbers
When better information comes out, we update. Every change is listed here, newest first. Numbers are low / middle / high.
2026-10-01 · version 3
- Electricity per AI picture: 0.63 / 1.22 / 2.91 → 0.63 / 1.22 / 2.9
- Water used at the AI building (cooling) per kWh: 0.12 / 1.08 / 1.8 → 0.12 / 0.36 / 1.08
- Water used at power plants to make each kWh: 0.49 / 2.18 / 3.94 → 0 / 2.18 / 4.4
- People in the world: 8.16 billion / 8.16 billion / 8.16 billion → 8.2 billion / 8.2 billion / 8.2 billion
- The health scale was re-derived.
2026-10-01 · version 2
- Sources updated; no numbers changed.
2026-10-01 · version 1
- Electricity per text answer: 0.24 / 0.34 / 1.86 (first version)
- Electricity per AI picture: 0.63 / 1.22 / 2.91 (first version)
- Electricity per short AI video (about 5 seconds): 30 / 944 / 944 (first version)
- Water used at the AI building (cooling) per kWh: 0.12 / 1.08 / 1.8 (first version)
- Water used at power plants to make each kWh: 0.49 / 2.18 / 3.94 (first version)
- CO2 per kWh of electricity: 125 / 473 / 473 (first version)
- Electricity used by all data centres worldwide per year: 415 / 415 / 415 (first version)
- People in the world: 8.16 billion / 8.16 billion / 8.16 billion (first version)
- The health scale was re-derived.
Your privacy
- No accounts, no cookies, no tracking scripts, and nothing loaded from other companies' servers.
- Your world is saved only on your device. We never see your answers.
- A share link holds only your world's pattern number, your three quiz answers and your greener choices. No names.
- Share links include
?s=1so our host can count how many shared worlds get opened, from ordinary page requests, without any script.