A strategic assessment of national AI capability across compute, energy infrastructure, semiconductors, data centres, and sovereign AI strategy.
Download Full Report →Institutional research, policy memos, and strategic briefings on the economics of AI infrastructure, compute, energy, institutions, and distribution.
These publications are designed as downloadable, forwardable research documents for policymakers, executives, researchers, investors, and institutional operators working on AI economy decisions.
For Investors, AI Executives, Policy Makers and Infrastruture Analysts
How control of energy-backed compute pipelines is replacing model quality as the core competitive moat in artificial intelligence.
Concise recommendations for public-sector and institutional decisions on AI capacity, safeguards, and economic strategy.
Focused analyses of compute, chips, energy systems, and datacenter bottlenecks shaping AI competitiveness.
Long-form research reports on durable structural changes in the AI economy and power landscape.
Decision-ready summaries for leadership teams on operating model shifts and high-impact AI investment choices.
Timely assessments of market structure, value capture, and strategic movement across AI sectors.
May 2026
AI data centers are not passive consumers of electricity. They are active grid-shaping industrial entities. As such, they should bear a proportional share of the infrastructure costs required to support their demand.
May 2026
AI firms are no longer simply software companies scaling through cloud infrastructure. They are becoming industrial power consumers competing for physical energy systems at global scale.
July 2026
A ranking of the companies shaping the AI economy through compute, energy, distribution, capital, R&D, adoption, and strategic dealmaking.
September 2026
Placeholder summary on operating model transitions required for measurable adoption outcomes and reliable governance.
October 2026
Placeholder summary on financing patterns, infrastructure ownership concentration, and competitive dynamics across AI markets.