Lens
Gradual: Broad automation and transformative growth · AGI ~2040
Growth as of

Policy & model editor · Gradual lens

Model a country’s choices — or change the model itself

Adjust a country’s factor scores to see how policy could change its index, its post-AGI growth and its GDP in 2045. Weights come from the active Gradual lens, so the levers that matter most shift with the worldview — raising compute pays off most under Fast, diffusion under Modest. Further down, the model’s global assumptions — the takeoff bounds and the factor weights — are yours to change too. Changing scores is comparative statics — a different entering bundle of complements, not a modeled reform path. Position is not destiny.

Adjust factor scores (1–5)

The % is each factor’s weight under the Gradual lens — higher weight, bigger lever.

Compute & Energy AccessPolicy3.4
15%
Geopolitical PositioningMixed3.0
10%
AI Diffusion CapacityPolicy3.2
20%
Language InclusionStructural1.4
6%
Physical Build SpeedPolicy5.0
11%
Cyber ResiliencePolicy3.6
5%
Climate & Environmental ResilienceStructural1.3
9%
Catch-up HeadroomMixed4.4
13%
Demographics & MigrationStructural4.2
11%

Impact

AGI Growth Index
68.3
was 68.3
Post-AGI growth (from 2040)
11.8%
was 11.8%
Doubling time · at the post-AGI rate
6.2y
GDP in 2045
With your changes $20.6T
At today’s scores $20.6T
No-AI baseline $12.5T

Policy-type factors are domestically changeable; structural ones move slowly and may need global initiatives. Edits here are local — they don’t change the rest of the atlas. The global assumptions — takeoff bounds and factor weights — are in the section below, and those do recompute the whole site.

For government planning · compatible with any AI model

Create a 1000-day AGI and growth roadmap prompt

This prompt can be used with Claude, ChatGPT or an open-weight model hosted on your institution’s systems. It includes the atlas material for India: the country brief, economic structure, region, archetype and global scenarios. It instructs the model to ask for local information, use existing strategies and the political calendar, and preserve the atlas’s interpretation rules. The prompt is assembled in your browser; the information entered here is not sent elsewhere.

1 · Read the brief  →  2 · Set targets in the policy editor →  3 · Generate and copy the prompt  →  4 · Run it with an approved model, with high reasoning effort and web access where permitted

No score targets included. Set them in the policy editor.

Instructions are generated in the selected language; the data annex remains in English. Translations are machine-drafted, and corrections from native speakers are welcome through the contact links on the start page.

The model’s global assumptions

These three controls sit behind every number on the site — documented in Methodology, editable here. Changes apply to the whole atlas for this visit and travel with “Share this view” links; reload without the link to restore the defaults.

Set your own takeoff bounds

The ceiling is the post-AGI growth rate of the best-positioned country. The floor is not a guaranteed rate: the least-ready country is anchored at its own pre-AI trend, capped at the floor, so a stagnant economy is not handed growth it cannot use. Under Gradual no country ends below its trend; under Fast some do. Don’t agree with the defaults? Set your own — every map, ranking and chart on the site recomputes instantly.

Gradual AGI 2040
floor5%/yr
ceiling15%/yr
Fast AGI 2030
floor3%/yr
ceiling30%/yr

The Modest lens has no floor/ceiling — it is a small uplift on each country’s own trend, per Acemoglu.

Set the takeoff timing

Growth ramps from the year AI starts adding to measured growth (2025 now) to each scenario’s post-AGI rate in its AGI year (Gradual, Fast), or to Modest’s peak. The ramp is back-loaded, so an earlier start adds little in the first years. Move the years to test a slower or faster arrival: every map, table, chart and country page recomputes.

All lenses · ramp begins2025
2023default 20252030
Gradual · AGI year2040
2035default 20402060
Fast · AGI year2030
2028default 20302040
Modest · AI matures by2035
2030default 20352045

Factor weights by lens — editable

FactorModestGradualFast
Compute & Energy Access
Geopolitical Positioning
AI Diffusion Capacity
Language Inclusion
Physical Build Speed
Catch-up Headroom
Demographics & Migration
Cyber Resilience
Climate & Environmental Resilience
Total (weights are relative — the model normalizes)100100100

Edit any weight and the whole atlas recomputes — changed cells are highlighted. Read across each row: as takeoff accelerates (Modest → Fast) the weight shifts from absorptive capacity (diffusion, catch-up, demographics) toward raw infrastructure (compute, build, geopolitics) — which is why the leaderboard reshuffles and dispersion widens.