Machinepower

Machinepower Index / Dossiers / Singapore

Rank 15 of 50 · Tier 2

Rank 12–15 across the scoring rules tested. How this is tested

Singapore

Diffusion Advantage — For nations that cannot build the frontier but can use it faster than anyone: import the models and win on deployment, across the state and the economy, with public consent.

Score5.86
Potential6.77
Bottleneck cost−0.91
Weakest cell: Firm Power Capacity at 3.5 Binding layer: Watts Since the October fix: No change logged Edition: Q4 2026 · updated October 2026

How the Score, Potential and bottleneck cost are worked out: methodology.

The three layers

WattsMaterial power · holds the weakest cell
5.2 / 10

Energy, grids, data centres and silicon — the physical capacity to run models at scale.

Compute tracked by Epoch AI: Singapore controls 1,200 H100-equivalents, wherever the sites are. Hosted compute is shown, not scored.

WeightsIntelligence power
6.6 / 10

Models, alignment capability, standards influence and the talent that produces them.

WillPolitical power
8.5 / 10

The capacity to wire AI into the state and the economy while holding public consent.

Where the score comes from

LayerSub-dimensionBasisScore
WattsPlanning & PermittingAssessed5.4
Firm Power CapacityDataset3.5
Sovereign ComputeDataset5.1
Hardware & Silicon AccessDataset6.6
WeightsFrontier Model OutputAssessed4.5
Alignment CapabilityAssessed8.6
Regulatory StandingDataset7.8
Talent DensityDataset5.6
WillPolicy CapacityDataset8.5
Public Sector AdoptionDataset9.2
Workforce TransitionDataset10.0
Public TrustDataset Sources differ6.3

Assessed marks a measurement we judged rather than took from a dataset: 3 of the 12 here.

Sources differ marks a cell where two sources disagree by more than a point. Public Trust: Trust in AI (7.5) and support for building data centres (5.1) differ by more than a point; the cell is their average.

Sources

Ipsos AI Monitor 2026April 2026
Public Trust in AI
68% say AI products have more benefits than drawbacks

Share of adults agreeing that products and services using AI have more benefits than drawbacks; the Index scores public trust as 1 + share ÷ 10. Survey of 23,532 adults across 32 countries, March to April 2026.

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Oxford InsightsJanuary 2026
Government AI Readiness Index 2025
#7 of 195 governments

Singapore ranks seventh globally (2025 edition) with world-leading public-sector deployment capability and procurement agility.

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AI SingaporeOctober 2025
Sovereign Language Models
SEA-LION v4 (Aug 2025) / Qwen-SEA-LION-v4 (Oct 2025)

SEA-LION v4, a multimodal model, leads Southeast Asian language performance in its size class; Qwen-SEA-LION-v4-32B-IT was announced on 17 October 2025, with 4B and 8B vision-language models following.

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NIST / IMDAOctober 2023
Governance Interoperability
AI Verify ↔ NIST AI RMF crosswalk

Singapore's AI Verify framework was formally crosswalked to the US NIST AI Risk Management Framework, published 13 October 2023, with cooperation maintained through the bilateral CET Dialogue.

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IMF2023 data, published June 2024
AI Preparedness Index: human capital and labour market policies
0.195 of a possible 0.25 · 10.0/10 in the Index

Used for the workforce measurement. The IMF combines schooling, pay, labour mobility and active labour-market policies; the Index rescales it so the weakest of 173 economies scores 0 and the strongest 10.

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World BankDecember 2025
Business Ready 2025: business location and utility services
Business location 80.8/100 · utility services 92.8/100

A cross-check for planning and permitting, which stays assessed: it scores building permits and electricity connections for ordinary firms, not grid-scale connections for data centres.

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Ember2025
Firm generating capacity
12 GW (2025)

Fossil, nuclear, hydro and other dispatchable plant; averaged with generation for firm power.

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GitHub Innovation Graph; Oxford Insights2026
Developer base
2.2 million developers

Second source for talent, averaged with Stanford's count.

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University of Melbourne; KPMGJanuary 2025
Trust in AI at work
60% trust AI at work

Second source for public trust, averaged with Ipsos.

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Oxford InsightsMay 2026
Policy capacity
85/100

Feeds policy capacity.

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Stanford AI Index 2026April 2026
Private AI investment, 2025 (shown, not scored)
$1.8bn

Capital is shown beside the Score, not scored.

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Public First, AI Global 20262026
Consent to build data centres
41% want more built, 13% fewer

Half of public trust: support for building more data centres, scored as 1 + share ÷ 10 and averaged with trust in AI.

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Bottlenecks

These hold Singapore below its Potential. Its two lowest scores cost it the most: firm power capacity at 3.5 (part of Watts) and frontier model output at 4.5 (part of Weights).

Watts (Material)Firm Power Capacity

Assessment

A global exemplar of diffusion advantage. Singapore focuses on being the most efficient user of AI tools. While it lacks sovereign hardware or models, its state capability and societal trust are world-leading.

The art of the possible

Singapore's deployment machine is already world-leading; its ceiling is set by what it can host and own. Regional model leadership through SEA-LION and creative energy solutions (imports, nuclear options) would let the most capable state in the Index command more of its own stack.

Strategic play — Diffusion Advantage

Stay the one place both machinepowers can transact, with the cables, exchanges and trusted rules that make it the Malacca of data, and solve firm power through imports and nuclear options so the most capable state in the Index can host more of its own stack.

Leverage — the nearest position. The Malacca of data. Cables, exchanges and the region's most trusted registry of rules — position is the entire national asset.

Open Singapore in the live Index → — every source behind every number, and the comparison tool.