Part V — REFERENCE
16.Further Reading
Organized by the question you might be asking. Entries marked ⊕ are this guide's additions for background; everything else is cited by the whitepaper itself. Links to publishers' sites are stable; specific reports may require registration.
Publisher links for the whitepaper-cited entries are in the complete 31-entry source registry. The marked guide additions are bibliographic recommendations outside that registry.
The primary source.
- The Distributed AI Economy: Intelligence Hubs, Frames, Cogs, and Ops. OpenTeams/Nebari, July 2026. The whitepaper this guide interprets; written by the company building the architecture, and to be read with that understood.
- nebari.dev — the open-source project; the inspectable part of the story.
Is the returns gap real?
- PwC, 29th Global CEO Survey, January 2026 (n=4,454). The 56%/12% figures.
- Deloitte, State of AI in the Enterprise 2026 (n=3,235). Maturity, governance, and local-vendor findings.
- McKinsey (QuantumBlack), Seizing the Agentic AI Advantage, June 2025. The "gen AI paradox" analysis.
- Stanford HAI, AI Index Report 2025/2026. Investment totals, incident counts, sovereignty objectives.
Is sovereignty durable or a fad?
- McKinsey, The Sovereign AI Agenda (December 2025) and Sovereign AI: Building Ecosystems (March 2026). Market sizing, control-points framing, migration timelines.
- Brookings Institution, Is AI Sovereignty Possible?, February 2026. The full-stack-infeasibility argument.
- Financial Times, Sovereign AI is a Bet on the Economies of Anti-Scale, March 14, 2026.
- Deloitte, TMT Predictions 2026. On-prem market sizing; the agent-marketplace projection.
What will regulators require?
- EU AI Act, Regulation (EU) 2024/1689, Articles 12, 14, 19. The Gate and Track requirements, in the law's own words.
- NIST, AI Risk Management Framework 1.0 (2023) and Generative AI Profile (2024).
- ISO/IEC 42001:2023, the AI management-system standard.
- OWASP, Top 10 for LLM Applications, November 2024.
What does AI actually do to productivity?
- Brynjolfsson, Li, and Raymond, Generative AI at Work (NBER). The randomized study behind Section 2's mechanism argument.
- NBER Working Paper 34984, March 2026. Executive-survey evidence on productivity trajectories.
Do open ecosystems really win?
- Open Source Initiative, 2026 State of Open Source Report. The lock-in-avoidance data.
- Hugging Face, State of Open Source on Hugging Face: Spring 2026.
- guide additionHarris & Millman et al., Array programming with NumPy, Nature, 2020. The documented history of the open array standard this architecture's precedent argument rests on.
- guide additionCNCF annual surveys and the Kubernetes ecosystem retrospectives. The standard-creates-startups pattern, with data.
Background for this guide's economic framing
(not cited by the paper; listed so you can judge our analogies).
- guide additionMarc Levinson, The Box: How the Shipping Container Made the World Smaller and the World Economy Bigger. Standardized units and market formation.
- guide additionCarl Shapiro & Hal Varian, Information Rules. Network effects, standards, and lock-in, still the clearest treatment.
- guide additionGeorge Akerlof, "The Market for 'Lemons'" (1970). Quality uncertainty and why verification mechanisms create markets.
- guide additionRonald Coase, "The Nature of the Firm" (1937). Why organizations exist at all; useful depth behind Section 2.