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AI GLOBALOBSERVATORY

Measuring Global AI Utilization

From chips, compute, and infrastructure to models, software, and robotics—AIGO delivers empirical data on practical current and future AI outcomes.

46.6%
US Businesses Using AI
$16T
Projected GDP Impact
$320B+
Hyperscaler CapEx
Noise
Safety Compliance
Global Governance
Model Leaderboards
EU AI Act 2.0
Ethical Guidelines
Risk Frameworks
Policy Papers
Benchmarks
Filter
Empirical Data
FOUNDATIONALINPUTS
Chips & Compute
Hardware
Infrastructure
Cloud
Data
Datasets
Utilization
ENABLING TECH& Application
Models
Foundation
Software
Agents
Robotics
Physical AI
Outcome
AI OUTCOMESCurrent & Future
Economic
Gains
Societal
Benefits
Sustainability
Impact
AIGO Value PropositionBeyond Benchmarks & Hype
Empirical Data over Theoretical "Safety" Claims
Validated Use Cases over Abstract Leaderboards
Future-Proof Insights on What Actually Works

AIGO 2026 cuts through regulatory noise to deliver the essential standard for understanding global AI reality—focused on validated outcomes, not theoretical benchmarks.

AIGO 2026 Global AI Utilization Report

Tracking AI utilization from chips to outcomes: measured value, not benchmarks.

01

The Physical Layer

Compute & Energy Infrastructure

The "truth about what works" begins at the silicon level. The 100+ MW data center is now the global infrastructure standard.

Data Center Scale
Baseline:20–50 MW projects
2026:100+ MW projects (Standard)
NVIDIA DC Revenue
Baseline:~$15B/qtr
2026:$51.2B (Q3 2026)
Uranium Price
Baseline:Baseline (2019)
2026:+233% (Nuclear Pivot)
Global DC Electricity
Baseline:460 TWh (2022)
2026:~1,000 TWh (2026 Projected)
Key SignalEnergy is the primary governor of AI growth. The surge in uranium prices reflects a fundamental shift toward nuclear energy for long-term power resilience.
02

The Deployment Layer

Models, Agents, & Robotics

Development has shifted from "bigger is better" (Trillion-parameter LLMs) to "specialized and agentic" (SLMs and autonomous agents).

Enterprise Adoption

+12.3%
46.6%
U.S. businesses paying for AI tools
December 2025
40–60 min
Time saved per day
By active users
62%
Organizations experimenting
With AI agents

Physical AI & Robotics

Market Scale
$1.3 Trillion
Projected sector size by 2032
Industrial Volume
~542,000
New industrial robot units installed annually
Use Case Shift
Digital Twins
3D foundation models for spatial reasoning
03

The Impact Layer

Economic & Labor Outcomes

AI is categorized as an "automation technology" that reorganizes rather than replaces labor.

GDP Impact

$16 Trillion

Projected addition to global GDP by 2030

Labor Displacement

30% / 50%

30% of workers see 50% of tasks affected; focus on task reorganization

Gender Gap

50% Reduction

Global mandates aim to halve the digital gender gap by 2030

04

National Scoreboard

Minimum Viable Metrics

AIGO recommends nations and firms track these four indices to measure AI maturity:

1

Compute Index

Utilized FLOPS/Watt and inference throughput (tokens/sec) vs. theoretical capacity.

2

Deployment Index

% of workflows with AI-in-the-loop (Code, Finance, Compliance).

3

Outcomes Index

Median time saved per worker and error rate reduction in high-stakes tasks.

4

Energy Index

Grid queue time for power permits and PUE (Power Usage Effectiveness).

Action Items

Practical Recommendations

For Governments

Standardize outcome reporting (time saved/error reduction) in public procurement. Focus policy on power and permitting rather than model benchmarks.

For Enterprises

Stop 'model shopping.' Pick 5 core workflows, instrument them, and measure the delta in 30 days. Kill any deployment that doesn't produce verified margin lift.

For Investors

Value companies based on utilization density (outcome per $ of compute) rather than theoretical R&D.