Insights
Notes from our team on the infrastructure, strategy, and governance questions shaping how organizations modernize.
Governance & Risk
A bipartisan House bill would widen what the FCC Covered List can reach and bar listed companies' affiliates from FCC licenses. It would also limit new listings to entities controlled by China, Russia, Iran or North Korea and remove the route the FCC used to ban drones and routers by country of production. What it means for network procurement and vendors.
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NVIDIA has agreed to buy Hugging Face for $12.93 billion, moving from the chips AI runs on to the platform AI is distributed from. The SEC filing carries a retention carve-out and a China dependency the announcement did not mention. What it means for model provenance, platform neutrality and enterprise AI supply chains.
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Naviam has agreed to acquire Cohesive from Bentley Systems, with Bentley keeping a minority stake and a board seat and Norwest investing alongside. The structure says more than the price would. What it signals for IBM Maximo customers, asset lifecycle data and vendor concentration at renewal.
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All twenty G20 members endorsed the Carolina Principles in Chapel Hill, China and Russia included. Read the four outcome documents together and they look less like AI regulation than industrial strategy. What that shifts for enterprise planning.
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Both G20 meetings in North Carolina have closed. Asheville ended with a chair's statement China would not fully sign. Chapel Hill ended with all twenty members behind the Carolina Principles. What was actually agreed, and what it changes for planning.
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As the G20 Innovation Ministerial convenes in Chapel Hill, Australia is arriving with an AI agenda built around infrastructure, safety, standards and national capability, not just regulation, offering a useful counterpoint to the U.S.-backed Carolina Principles.
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A federal judge just struck down the Pentagon's blacklisting of Anthropic days before the G20 Innovation Ministerial. The case is now a real-world test of how governments should govern AI supply chains without undermining the ecosystem they depend on.
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The economics of AI infrastructure are changing. Governments are deciding that data-center demand for power, grid capacity, and water can no longer simply be absorbed by taxpayers, and each country is answering differently.
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AI agents are moving beyond answering questions to reading, creating, modifying, and deleting files. Publicly reported bugs on Windows and OneDrive show why enterprises need to govern AI write access as a privileged capability.
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Vietnam's new framework classifying high-risk AI systems took effect August 15, 2026. It's a signal of a much larger global shift. AI governance is becoming contextual, and multinational enterprises need to get ahead of it.
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NIST is rethinking the National Vulnerability Database and exploring AI-enabled tools to move beyond severity scores. The real shift isn't a database update. It's a move from technical severity to business-context risk decisions.
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The physical supply chain behind every AI query, including chips, cooling systems, and power infrastructure, is expanding faster than predicted. Understanding the environmental math is essential for enterprises deploying AI at scale.
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The playbook for scaling AI efficiently already exists. It's what enterprise infrastructure teams learned during the cloud transition: consolidate, right-size, and optimize before adding capacity. We've done it for telecom. It works for AI too.
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