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title: Global AI Ecosystem Explorer — compare countries with transparent weights
description: Compare national AI investment, companies, infrastructure, models, talent and policy with visible coverage, normalization and weights.
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<section class="s5-page-intro"><div class="s5-eyebrow">Tools · Data · 18</div><h1>Compare AI ecosystems without hiding which data and weights produce the ranking.</h1><p>Choose the signals you want to compare, change their weights, and see which countries remain comparable. Missing observations exclude a country from that scenario: they are never converted to zero or silently compensated for.</p></section>
<div class="s5-tool-summary-strip"><div><small>Normalization</small><strong>0–100 per scenario</strong></div><div><small>Weights</small><strong>editable</strong></div><div><small>Missing data</small><strong>explicit exclusion</strong></div><div><small>Country records</small><strong>28</strong></div></div>

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<section class="s5-tool-controls__section"><div class="s5-section-head"><div><div class="s5-eyebrow">Signals</div><h2>What enters the comparison</h2></div></div><p>The initial scenario compares 2025 private investment and newly funded AI companies: 12 countries have both observations in the published figures. Add infrastructure, model development, talent or policy when useful; coverage changes and is always shown before the ranking is interpreted.</p><div data-output="metric-controls"></div></section>
<section class="s5-tool-controls__section"><h2>Country focus</h2><div class="s5-tool-field"><label for="s5-global-ai-focus-en">Country</label><select id="s5-global-ai-focus-en" data-field="focus"></select><small>The country must have complete data for every active signal.</small></div><div class="s5-tool-actions"><button class="s5-tool-action" type="button" data-action="share">Copy scenario</button><button class="s5-tool-action" type="button" data-action="csv">Export CSV</button><button class="s5-tool-action" type="button" data-action="json">Export JSON</button><button class="s5-tool-action" type="button" data-action="reset">Reset</button></div><p class="s5-tool-feedback" data-s5-tool-feedback hidden aria-live="polite"></p></section>
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<div class="s5-section-head s5-section-head--with-copy"><div><div class="s5-eyebrow">Scenario</div><h2>Relative ranking with visible coverage</h2></div><p data-output="coverage">Loading…</p></div>
<div class="s5-tool-summary-strip"><div><small>Active signals</small><strong data-output="active-count">—</strong></div><div><small>Scenario leader</small><strong data-output="leader">—</strong></div><div><small>Score unit</small><strong>relative points</strong></div><div><small>Snapshot date</small><strong>22 Aug 2026</strong></div></div>
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<div class="s5-ecosystem-table-wrap" role="region" aria-label="Global AI ecosystem comparison table" tabindex="0"><table class="s5-ecosystem-table"><thead data-output="table-head"><tr><th>Country</th><th>Score</th></tr></thead><tbody data-output="table-body"></tbody></table></div>
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<section class="s5-section"><div class="s5-section-head"><div><div class="s5-eyebrow">Method</div><h2>The index is a configurable view, not an absolute measure of who is “winning AI.”</h2></div></div><div class="s5-ecosystem-method"><div><strong>Transform before normalization</strong><p>Investment, companies, data centers and models use <code>log(1+x)</code> before min–max scaling so one extreme value does not compress the rest of the range. Talent and policy use a linear scale.</p></div><div><strong>Strict comparability</strong><p>A country enters the ranking only when every active signal is available. Changing signals can change both the country set and the normalized values, so each scenario is relative to its own coverage.</p></div><div><strong>Visible weights</strong><p>Active weights are normalized to 100%. Equal weighting is the default. There are no hidden “expert” weights and no fixed editorial 5sigmas score.</p></div></div></section>

<section class="s5-section"><div class="s5-note-feature"><div><div class="s5-eyebrow">Coverage</div><h2>28 records do not mean 28 countries are comparable in every scenario.</h2><p>The universe is the union of countries published in at least one selected source. AI Index 2026 shows 15 areas in each of the investment, company-formation and data-center figures, but they are not the same 15. Coverage is preserved exactly as published: absence from a figure is missing data, never zero.</p><p>The initial scenario has 12 comparable countries because it requires both 2025 private investment and newly funded AI companies. Adding data centers leaves 9. That reduction is information about dataset coverage, not a defect hidden by imputation.</p></div><div class="s5-note-feature__meta">Records: 28<br />Initial scenario: 12 comparable<br />With infrastructure: 9<br />No imputation</div></div></section>

<section class="s5-section"><div class="s5-note-feature"><div><div class="s5-eyebrow">What the signals do and do not measure</div><h2>Observable signals with explicit limitations.</h2><p>Private investment does not necessarily include state spending. Data-center counts do not measure facility size or available GPUs. Notable-model counts depend on Epoch AI's criteria and the 2026 figure publishes only selected geographies. LinkedIn profiles are not a population census. Oxford Insights Policy Capacity is one methodological pillar, not a complete measure of government execution.</p><p>Stanford's 2024 Global AI Vibrancy score is shown only as an external reference where a value has already been verified and never enters the 5sigmas scenario score, avoiding double-counting an already-composite index as if it were a primary observation.</p></div><div class="s5-note-feature__meta">Snapshot: 22 Aug 2026<br />Methodology: 2026-08-22-v2<br />Explicit source periods<br />Missing values preserved</div></div></section>

<section class="s5-section"><div class="s5-section-head"><div><div class="s5-eyebrow">Active sources</div><h2>Every signal keeps its organization, period and interpretation limit.</h2></div></div><ul class="s5-ecosystem-source-list" data-output="sources"></ul></section>
<section class="s5-section"><div class="s5-note-feature"><div><div class="s5-eyebrow">Methodological reference</div><h2>Inspired by AI Index transparency, not by its score.</h2><p>Stanford's Global AI Vibrancy Tool compares 36 countries using 23 indicators across 7 pillars and lets users adjust weights. 5sigmas adopts the reproducible-exploration idea while using its own signals, transformations and coverage rules. The goal is to make every ranking change explainable from the data and weights.</p></div><div class="s5-note-feature__meta"><a href="https://hai.stanford.edu/ai-index/global-vibrancy-tool">Stanford HAI · Global AI Vibrancy Tool</a><br /><a href="https://hai.stanford.edu/ai-index/2026-ai-index-report">Stanford HAI · AI Index 2026</a><br /><a href="https://oxfordinsights.com/ai-readiness/government-ai-readiness-index-2025/">Oxford Insights · Government AI Readiness 2025</a></div></div></section>
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