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The report defines intelligent infrastructure as an integrated system of physical assets, networks, and AI capable of sensing, reasoning, and acting in real time. It proposes the DNA+ framework—comprising Devices, Network, AI, and a cross-cutting Cyber resilience layer—to move beyond simple connectivity toward 'system-of-systems' intelligence. The document argues that this transition creates value across four levels (Company, Cluster, City, and Country), enabling 'hyper-productivity' and symbiotic industrial ecosystems. It concludes that while the necessary technology largely exists, deployment is hindered by institutional barriers, requiring new governance standards, trust mechanisms, and domain-specific talent capabilities.

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  • Intelligent infrastructure is distinguished from traditional digital infrastructure by three structural features: interoperability, systems-intelligence, and autonomy, transforming infrastructure from a passive conduit into an active participant in value creation.
  • The DNA+ framework provides a practical architecture for intelligent infrastructure, consisting of three core layers—Devices (sensing), Network (connectivity), and AI (cognitive processing)—supported by a cross-cutting Cyber resilience layer that functions as an 'immune system'.
  • Intelligent infrastructure generates multiplying value across the '4Cs': Companies achieve operational excellence and 'hyper-productivity'; Clusters unlock collective innovation and industrial symbiosis; Cities improve urban resilience and competitiveness; and Countries enhance strategic national competitiveness.
  • The primary obstacles to the deployment of intelligent infrastructure are institutional rather than technical, specifically regarding the alignment of governance, incentives, financing, and trust across siloed actors.
  • National strategies in China, India, South Korea, and the UAE demonstrate that strategic investment in intelligent backbones—such as China's Industrial Internet or India's Unified Logistics Interface Platform (ULIP)—directly impacts GDP growth and foreign investment attractiveness.
  • Successful implementation requires a shift in human capital, moving from generic digital literacy to domain-specific reskilling and the augmentation of legacy institutional knowledge through 'human-in-the-loop' protocols.

Cite the original document

APA
World Economic Forum (2026). Intelligent Infrastructure: A Primer. https://reports.weforum.org/docs/WEF_Intelligent_Infrastructure_A_Primer_2026.pdf
Chicago
World Economic Forum. Intelligent Infrastructure: A Primer. 2026. https://reports.weforum.org/docs/WEF_Intelligent_Infrastructure_A_Primer_2026.pdf.
Wikipedia
{{cite report |author=World Economic Forum |title=Intelligent Infrastructure: A Primer |date=May 2026 |url=https://reports.weforum.org/docs/WEF_Intelligent_Infrastructure_A_Primer_2026.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}
BibTeX
@techreport{worldeconomicforum2026intelligent, author = {{World Economic Forum}}, title = {{Intelligent Infrastructure: A Primer}}, institution = {World Economic Forum}, year = {2026}, month = may, url = {https://reports.weforum.org/docs/WEF_Intelligent_Infrastructure_A_Primer_2026.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }

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