Scrutica
How each announcement inflates: the six-pattern decomposition of the gap between what a program announced and what it will disburse, attributed per program with per-pattern provenance and the editorial framework stated on the surface.
The Programs view isolates the government-only portion of each headline and reads the reality ratio off it. This view asks the mechanism question: given that a program’s announced figure outruns what it will disburse, which of six named patterns does the gap decompose into — private capital relabeled as public, foreign direct investment folded in, credit lines, timeline aspiration, and so on. Each attribution carries its own source and a confidence tier (primary / analyst-inferred / Scrutica-editorial); the framework is stated, not hidden inside a score.
Headline sovereign-AI figures inflate in recognizable ways. This view breaks the gap between what a country announced and what it will actually spend into six named patterns — private money counted as public, foreign investment folded in, credit lines, aspirational timelines — and labels how confident the attribution is, program by program. The government-only reconciliation itself is on Programs.
Cross-program decomposition
A 6-pattern taxonomy applied to each program’s announced-vs-deployed gap. Each program’s gap decomposes into one or more named patterns whose percentages sum to 100% of the program’s gap. The taxonomy itself is a Scrutica editorial framework; per-row attributions carry source URL + accessed-at date + confidence rating. The per-program inflation_decomposition already shipped on the per-country cards (financing-type breakdown: government / private / FDI / credit) is a separate decomposition — this scorecard surfaces the gap-shape patterns that financing-type breakdown does not capture.
A cross-program reading of whyannounced sovereign-AI numbers outrun deployed reality. Each program’s announced-vs-deployed gap falls into one or more named patterns: Aspirational (the announcement is a future-target capacity), Phased rollout (Phase 1 is real, Phase N is forward-scheduled), Financing-stalled (intent is real, capital closure isn’t), Chip-allocation-conditional (deployment is authorization-gated), Vaporware (no substantive substrate), Other. The framework is a Scrutica editorial choice; readers who would classify a row differently can read the per-row notes inline.
Programs
34
34 sovereign vehicles tracked
With announced-vs-deployed gap
28
6 executing without material gap
Primary-source attributions
28
of 62 total — confidence tier 1
Editorial attributions
5
Scrutica-editorial (tier 3) where substrate is sparse
Portfolio frequency
Aspirational
16/ 28
7 dominant · avg 41% when present
Phased rollout
21/ 28
14 dominant · avg 60% when present
Financing-stalled
9/ 28
0 dominant · avg 26% when present
Chip-allocation-conditional
2/ 28
1 dominant · avg 30% when present
Vaporware
1/ 28
1 dominant · avg 50% when present
Other
7/ 28
5 dominant · avg 79% when present
Per-program decomposition
Each row sums to 100% across the patterns present for that program. Hover or focus a cell to read the per-attribution provenance + notes. Programs without a material gap (committed ≈ disbursed ≈ announced) are listed separately below as “executing”.
Portfolio reading
Phased rollout dominates
14 programs: Australia · Canada · Germany · Spain · EU-Wide · United Kingdom · +8 more
Aspirational dominates
7 programs: UAE · Brazil · France · South Korea · Malaysia · Saudi Arabia · +1 more
Other dominates
5 programs: Africa (Regional) · NATO/AUKUS · Poland · Sweden · Ukraine
Vaporware dominates
1 program: Indonesia
Regional reading. Gulf programs (UAE, KSA) skew Aspirational + Chip-allocation-conditional — headline 5 GW / 600K-GPU framing with operationally smaller Phase 1. The post-Oct-2023 BIS-authorization gate now splits the two: the UAE moved to Country Group A:5 on July 10, 2026 (91 FR 43034), making AI-chip exports license-free to supplement-no.-8 approved entities, while KSA still runs on bespoke case-by-case licenses. South & Southeast Asia (India, Indonesia, Vietnam, Malaysia) skew Phased (where execution is real) versus Financing-stalled or Vaporware (where capital + counterparties aren’t yet identified). Western Europe (France, Germany, UK, EuroHPC) skews Phased with smaller Aspirational residuals — the €109B France headline is the outlier that drags the regional average toward aspirational. East Asia (China, Japan, Korea) skews Chip- allocation-conditional (China specifically) and Phased (Japan, Korea).
Framework + methodology
The 6-pattern taxonomy is a Scrutica editorial framework, not an industry standard. Categories are not mutually exclusive. Per-pattern percentages partition the announced-versus-deployed gap (so attributions for a single program sum to 100% of the gap, with the gap itself implicit in committed/disbursed substrate). Where a program has no gap (disbursed ≈ announced), the row shows pct=0 across patterns and a no_gap flag. Where the literature is silent, the program is marked unclassified with an explicit reason.
Aspirational
Public announcement of a future-target capacity with no operational deployment yet, OR the announced number includes a capacity target whose construction has not commenced. Phase 1 may be commissioned, but the headline-shaping bulk is forward-target.
Example: UAE Stargate $500B (5 GW campus aspiration; only Phase 1 200MW under construction)
Phased rollout
Multi-phase plan where Phase 1 (or earlier) is operational and on schedule; Phase N is forward-target but not aspirational because the multi-year build cadence is itself the disbursement plan. Distinguished from Aspirational by the presence of a substantiated multi-phase budget schedule.
Example: IndiaAI Mission (38K GPUs operational, 100K target end-2026, on track per IndiaAI CEO disclosure)
Financing-stalled
Announcement carries deployment intent but financing closure has not arrived — SWF allocation pending, sovereign-debt instrument not yet placed, parliamentary appropriation deferred, chip-supplier contract un-priced. Distinguished from Aspirational by the presence of operational intent rather than future-capacity branding.
Example: Indonesia Sovereign AI Fund planned 2027-2029, not established
Chip-allocation-conditional
Announcement contingent on BIS / chip-supplier approval (export license, NVIDIA allocation slot, foundry-capacity commitment). Distinguished from financing-stalled by the constraint being a supplier or regulatory authorization rather than capital.
Example: Saudi HUMAIN ramp beyond the bespoke Nov 2025 35K-GB300 license remains authorization-gated. The UAE's parallel gate converted on July 10, 2026 to license-free approved-entity treatment under Country Group A:5 (91 FR 43034), leaving an entity-list + April 6, 2027 renewal condition rather than per-license approval
Vaporware
Announcement with no substantive substrate — no facility, no operator, no allocation. Distinguished from financing-stalled by the absence of identifiable counterparties.
Example: Various smaller-state announcements where the program-name does not resolve to a procurement vehicle
Other
Catch-all for cases that don't fit (joint-venture-pending, regulatory-blocked, dual-currency-conversion ambiguity, sovereign-political-instability hold). Notes inline.
Example: Program where deployment intent is real, financing exists, but a downstream condition unrelated to the five named patterns is the binding constraint
Cross-program sovereign-AI inflation framing exists at CNAS (Sovereign AI Index, periodically updated, with “announced versus disbursed” pairs), Brookings (sovereign-AI capacity assessments), CSIS (sovereign technology programs), and IDC (sovereign AI tracker, with “announced versus operational” pairs). Scrutica’s 6-pattern taxonomy is a Scrutica editorial choice positioned as such; a reader who would prefer a different taxonomy can read the per-row notes and re-classify inline. Source citations per attribution accompany every row in the scorecard above.