Machinepower

Machinepower Index / Dossiers / Indonesia

Rank 40 of 50 · Tier 3

Rank 38–42 across the scoring rules tested. How this is tested

Indonesia

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.

Score3.80
Potential5.20
Bottleneck cost−1.40
Weakest cell: Hardware & Silicon Access at 2.0 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
3.9 / 10

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

Compute tracked by Epoch AI: Indonesia hosts 84,000 H100-equivalents for foreign firms. Hosted compute is shown, not scored.

WeightsIntelligence power
4.4 / 10

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

WillPolitical power
7.3 / 10

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

Where the score comes from

LayerSub-dimensionBasisScore
WattsPlanning & PermittingAssessed5.1
Firm Power CapacityDataset6.1
Sovereign ComputeDataset2.3
Hardware & Silicon AccessDataset2.0
WeightsFrontier Model OutputAssessed3.2
Alignment CapabilityAssessed3.5
Regulatory StandingDataset6.1
Talent DensityAssessed4.8
WillPolicy CapacityDataset7.7
Public Sector AdoptionDataset7.4
Workforce TransitionDataset6.0
Public TrustDataset Sources differ8.1

Assessed marks a measurement we judged rather than took from a dataset: 4 of the 12 here.

Sources differ marks a cell where two sources disagree by more than a point. Public Trust: Trust in AI (8.7) and support for building data centres (7.5) differ by more than a point; the cell is their average.

Sources

Ipsos AI Monitor 2026April 2026
Public Trust in AI
77% 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 Insights GAIRI 2025January 2026
Government AI Readiness
Governance pillar 61.25 · PSA 73.77 (rank 46)

The validated January 2026 report shows a state deploying faster than it regulates: public-sector adoption at 73.77 against a governance pillar of 61.25.

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TOP500.orgJune 2026
High-Performance Compute Capacity
ASEAN-Korea HPC Facility — 3.1 PF (#435)

One listed system of 3.1 petaflops on the June 2026 TOP500 — for a 280-million-person market, the thinnest sovereign compute base in the Index.

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IMF2023 data, published June 2024
AI Preparedness Index: human capital and labour market policies
0.130 of a possible 0.25 · 6.0/10 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 66.9/100 · utility services 70.3/100

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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Ember2024
Firm generating capacity
96 GW (2024)

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

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Oxford InsightsMay 2026
Policy capacity
77/100

Feeds policy capacity.

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Public First, AI Global 20262026
Consent to build data centres
65% want more built, 10% 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 Indonesia below its Potential. Its two lowest scores cost it the most: hardware & silicon access at 2.0 (part of Watts) and sovereign compute at 2.3 (part of Watts).

Watts (Material)Hardware & Silicon Access

Assessment

One of the most AI-optimistic publics measured — 77% of Indonesians say the benefits outweigh the drawbacks — sits on one of the thinnest material bases in the Index. A 280-million-person market that wants AI, a state deploying it, and almost no sovereign compute to run it on: Indonesia is the purest test of whether will can pull watts into existence.

The art of the possible

Consent is the scarcest resource in AI politics, and Indonesia has more of it than anyone measured. The play is to price that in: auction hyperscaler capacity against the region's most willing market, require in-country compute for public workloads, and let demand build the grid the way it built the mobile-money stack.

Strategic play — Diffusion Advantage

Price its willing market: auction hyperscaler capacity against the region's most AI-hungry public, require in-country compute for public workloads, and let that demand pull the grid into existence. The nickel ban showed Jakarta will close a door the world was using, and that credibility is worth more than the optimism.

Leverage — the nearest position. Has already run the Mahan play once: it banned raw nickel exports and forced most of the world's processing onshore. Nickel is not AI — but a demonstrated willingness to close a door the world was using is exactly what leverage means.

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