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The Annual AI Governance Report 2025: Steering the Future of AI



                   Bifurcation and Localization of Chip Supply Chain:  The semiconductor supply chain is
                   undergoing two major transformations: bifurcation and localization. Bifurcation refers to the
                   gradual division of the supply chain into two competing ecosystems—one led by the U.S. and
                   its allies, and the other by China—as both powers seek to reduce mutual dependencies due to     Infrastructure  Theme 5: AI
                   national security concerns . In parallel, localization is gaining momentum, with regions like East
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                   Asia, Southeast Asia, and Europe investing in domestic semiconductor capabilities to enhance
                   resilience and reduce external risks.
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                   Innovations in Computing Architectures: AI is making chip production faster, cheaper, and more
                   accurate through automation and predictive analytics, and chips and computing architectures
                   are being designed for the purpose of AI.  DeepSeek’s example shows us how computing
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                   architectures might change to adapt to the use case of AI.  Furthermore, generative AI presents
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                   new possibilities for automating and enhancing different phases of chip design by streamlining
                   tasks such as architectural exploration, circuit tuning, and layout creation.
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                   5.4  Cloud Infrastructure and Access

                   Public Compute: Public compute initiatives—publicly funded programs that provide access to
                   computational resources—offer significant benefits in democratizing access to AI infrastructure,
                   especially as AI becomes central to research, innovation, and national competitiveness. These
                   programs help democratize access to high-performance computing, allowing researchers,
                   startups, and public agencies to pursue AI development without relying solely on expensive
                   private infrastructure. For example, the USA’s National AI Research Resource (NAIRR) pilot
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                   and the UK’s AI Research Resource (AIRR)  aim to provide equitable access to compute for
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                   academic and scientific communities. Similarly, India’s Open Compute Cloud and GPU subsidy
                   program support domestic companies by reducing costs and offering more flexible, market-
                   driven access to computing resources. These initiatives not only fuel innovation but also attempt
                   to bridge the “compute divide” that leaves smaller institutions and less wealthy nations behind. 134

                   Despite their promise, public compute efforts face several challenges. One is the risk of value
                   capture, where large private tech firms disproportionately benefit from public infrastructure,
                   potentially undermining the intended public good. Another issue is coordination: overlapping
                   efforts within jurisdictions, such as multiple city-levels or state-levels can dilute effectiveness
                   without cohesive policy frameworks. Additionally, long-term planning is complicated by the
                   need for flexibility in a rapidly evolving AI landscape; the UK’s cancelled £900 million exascale
                   supercomputer project illustrates how political uncertainty can destabilize these efforts. 135


                   127   Center for Security Studies. “The Semiconductor Race: Global Technopolitics and Supply Chain Resilience.”
                      CSS Analyses in Security Policy, no. 345, ETH Zürich, March 2024. https:// css .ethz .ch/ content/ dam/ ethz/
                      special -interest/ gess/ cis/ center -for -securities -studies/ pdfs/ CSSAnalyse345 -EN .pdf.
                   128   Merle, Q. (2024). Chips Supply Chain: bifurcation and localization. ETH Zürich.
                   129   Ranaweera, J. (2025). How will artificial intelligence reshape the semiconductor industry?: Artificial Intelligence
                      meets Silicon: The next era of chip Design and manufacturing. IEEE Electron Devices Magazine, 3(1), 12–14.
                   130   Zhao, C., Deng, C., Ruan, C., Dai, D., Gao, H., Li, J., Zhang, L., Huang, P., Zhou, S., Ma, S., Liang, W., He, Y.,
                      Wang, Y., Liu, Y., & Wei, Y. X. (2025, May 14). Insights into DeepSeek-V3: Scaling Challenges and Reflections
                      on Hardware for AI Architectures.
                   131   Raghuweanshi, P. (2024). REVOLUTIONIZING SEMICONDUCTOR DESIGN AND MANUFACTURING WITH
                      AI. Journal of Knowledge Learning and Science Technology ISSN 2959-6386 (Online), 3(3), 272–277.
                   132   National Artificial Intelligence Research Resource Pilot. (n.d.). NSF - National Science Foundation.
                   133   Shearer, E., Davies, M., Lawrence, M. (2024). The role of public compute. Ada Lovelace Institute Blog.
                   134   Davies, M., & Vipra, J. (2024). Policy briefing Mapping global approaches to public compute Understanding
                      the options available to policymakers. Ada Lovelace Institute.
                   135   Davies, M., & Vipra, J. (2024). Policy briefing Mapping global approaches to public compute Understanding
                      the options available to policymakers. Ada Lovelace Institute.



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