2026 Global AI Report: A Playbook for Private and Sovereign AI

For years, progress in AI meant better models. Today, the primary challenge to progress is the layer underneath: infrastructure. Enabling private and sovereign AI requires significant changes. Systems built for centralized, borderless data flows are struggling to support AI that must run in controlled, and increasingly localized, highly jurisdictional environments.

The 2026 Global AI Report: A Playbook for Private and Sovereign AI is the next in a series of content based on our global research.

Five themes have emerged from our analysis:

1. AI is running into a wall — and it’s not the model
2. Data jurisdiction is becoming an architectural constraint
3. Everyone sees the shift, but few are acting on it
4. Leaders redesign early and move decisively, creating competitive divergence
5. Private and sovereign AI sound like independence but are built on tightly orchestrated ecosystems

The playbook explores:

• The role of geopolitics and the need for greater data control
• Factors influencing organizations’ AI infrastructure choices
• Why legacy infrastructure is an ever-present constraint
• Why building private and sovereign AI requires outside assistance
• How a cohort of AI leaders is succeeding with private and sovereign AI-first approaches

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