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AI GLOBAL OBSERVATORY

AIGO

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

AIGO 2026 Global AI Utilization Report

AIGO Value Proposition

Evidence-Based Assessment

Empirical Data over Theoretical "Safety" Claims

Validated Use Cases over Abstract Leaderboards

Future-Proof Insights on What Actually Works

AIGO 2026 provides clear, actionable guidance as the essential standard for understanding global AI reality—focused on validated outcomes, not theoretical benchmarks.

Foundational Inputs
Chips · Infrastructure · Data
Enabling Tech
Models · Agents · Robotics
Outcomes
Economic · Societal · Future
01The 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.

Metric
2022/23 Baseline
2026 Status
Data Center Scale
20–50 MW projects
100+ MW (Standard)
NVIDIA DC Revenue
~$15B/qtr
$51.2B (Q3 2026)
Uranium Price
Baseline (2019)
+233% (Nuclear Pivot)
Global DC Electricity
460 TWh (2022)
~1,000 TWh (2026)
Key Signal

Energy is the primary governor of AI growth. The surge in uranium prices reflects a fundamental shift toward nuclear energy for long-term power resilience.

02The Deployment Layer

Models, Agents, & Robotics

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

Enterprise Adoption
46.6%
U.S. businesses paying for AI tools (Dec 2025)
40–60 min
Time saved per day
62%
Orgs experimenting with agents
Physical AI & Robotics
$1.3T
Projected sector size by 2032
~542K
Industrial robots/year
3D
Digital twins rising
03The Impact Layer

Economic & Labor Outcomes

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

$16T
GDP Impact
Projected addition to global GDP by 2030
30/50
Labor Displacement
30% of workers see 50% of tasks affected
50%
Gender Gap
Global mandates to halve digital gap by 2030
04National 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

Avoid frequent model changes. Identify 5 core workflows, implement measurement systems, and evaluate results within 30 days. Discontinue any deployment that does not produce verified performance improvement.

For Investors

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

AI GLOBAL OBSERVATORY

AIGO 2026

U.S. Government · Washington, DC

The essential standard for understanding global AI reality—focused on validated outcomes, not theoretical benchmarks.

46.6%
Adoption
$16T
GDP Impact
$320B+
CapEx

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