Machinepower

Machinepower Index / Dossiers / Italy

Rank 18 of 50 · Tier 2

Rank 18–20 across the scoring rules tested. How this is tested

Italy

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.

Score5.53
Potential6.23
Bottleneck cost−0.70
Weakest cell: Frontier Model Output at 3.0 Binding layer: Weights 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
6.1 / 10

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

Compute tracked by Epoch AI: Italy controls 3,500 H100-equivalents, wherever the sites are; hosts 4,400 for foreign firms; has 300 on its soil with the owner not reported. Hosted compute is shown, not scored.

WeightsIntelligence power · holds the weakest cell
6.0 / 10

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

WillPolitical power
6.6 / 10

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

Where the score comes from

LayerSub-dimensionBasisScore
WattsPlanning & PermittingAssessed4.8
Firm Power CapacityDataset5.6
Sovereign ComputeDataset8.1
Hardware & Silicon AccessDataset5.8
WeightsFrontier Model OutputDataset3.0
Alignment CapabilityAssessed6.4
Regulatory StandingDataset8.6
Talent DensityDataset6.0
WillPolicy CapacityDataset7.0
Public Sector AdoptionDataset7.0
Workforce TransitionDataset6.3
Public TrustDataset5.9

Assessed marks a measurement we judged rather than took from a dataset: 2 of the 12 here.

Sources

Ipsos AI Monitor 2026April 2026
Public Trust in AI
53% 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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Terna2025
Planning & permitting (assessed)
4.8/10, assessed

Requests to connect data centres to Italy's grid, concentrated around Milan, run to tens of gigawatts, far beyond what Terna's network can absorb in the near term, and there is no dedicated fast track for permitting them.

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TOP500.orgJune 2026
European High-Performance Node
Leonardo — 241.20 PFlop/s (#12)

The Bologna-based EuroHPC Leonardo system remains among the world's most powerful public research machines on the June 2026 list, anchoring Italy's national compute access.

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Garante per la protezione dei dati personali2026
Regulatory Data Audits
Enforcement actions against AI services

The Garante has taken direct enforcement action against AI services, including the ChatGPT proceedings, and remains among the most proactive regulators in Europe, within the EU AI Act framework now phasing in through 2026-2028.

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OECD.AI Policy Observatory2026
National Sovereign Tech Plan
Italian AI strategy & EuroHPC participation

Italy's strategy focuses AI deployment on manufacturing and cultural-sector IP protection, leveraging shared EuroHPC infrastructure rather than sovereign frontier training.

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IMF2023 data, published June 2024
AI Preparedness Index: human capital and labour market policies
0.135 of a possible 0.25 · 6.3/10 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 83.6/100 · utility services 86.2/100

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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CSET Emerging Technology ObservatoryAugust 2026
AI safety research, 2019–2024
1,047 articles (2% of the world's) · 25.5 citations per article

A cross-check for alignment, which stays assessed. The Research Almanac counts English-language research only, so it understates Japanese, Korean and Chinese work.

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Ember2025
Firm generating capacity
90 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
2.0 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
42% trust AI at work

Second source for public trust, averaged with Ipsos.

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Oxford InsightsMay 2026
Policy capacity
70/100

Feeds policy capacity.

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Bottlenecks

These hold Italy below its Potential. Its two lowest scores cost it the most: frontier model output at 3.0 (part of Weights) and planning & permitting at 4.8 (part of Watts).

Weights (Intelligence)Frontier Model Output

Assessment

Italy focuses on the application of AI in its high-end manufacturing and luxury sectors. While it lacks sovereign compute, its "Made in Italy" AI strategy seeks to protect cultural and industrial IP.

The art of the possible

Italy's route is applied excellence: Leonardo-class public compute plus its manufacturing base could make it the world's benchmark for AI-transformed industry. It doesn't need frontier models — it needs deployment speed in its factories and ministries.

Strategic play — Diffusion Advantage

Make Italian industry the benchmark for AI deployment rather than chase models it does not need: put Leonardo-class public compute to work in factories and ministries, and treat Brussels' regulatory weight as the leverage Italy does not hold on its own.

Leverage — the nearest position. No chokepoint, and no obvious route to one. Italy's leverage runs through Brussels: it borrows the EU's regulatory weight rather than holding a position of its own.

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