Neoclouds and data center operators are being thrusted into new gatekeeper roles. The AI stack worldwide relies heavily on NVIDIA chips and with that comes stringent export controls. While virtually all players are impacted by NVIDIA chip telemetry (remote tracking) and new export control expectations, business risk and operational burden fall most significantly on those two layers.

Walking away from the table carries a price tag of 50% tariffs now. Walking away also strips away the assumption that a strong Canadian economy must always depend on neighboring trade. Much weaker countries have transformed themselves in the face of far harsher conditions. Resource-rich countries have also used their natural advantages to springboard sophisticated domestic industries, becoming trusted global partners in their own right.

All signs pointed to negotiations that were zero-sum. Carney is right to sprint away from any quick, shiny announcement of a “deal” that could have served as a Trojan horse.

Tariff Discussions Do Not Resolve Commercial Risk

Asia’s chip ambitions are gathering force and countries are pursuing overlapping strategies but gradually diverging alignments. Some are trying to climb into more strategic parts of the stack. Others, such as Japan, are already embedded in critical layers of the chain. The question all are grappling with centers around trust: who will be trusted to handle more sensitive work or become irreplaceable in the global contest?

For countries trying to move up the stack, the race is deeper than selling. It is to get inside the customer’s product, process or roadmap — to become so embedded that removing the role essentially requires product redesign or requalifying the supplier.

Buying advanced AI chips is no longer simply a contest of price, technical need and delivery schedules. Suppliers increasingly want to know who owns the buyer, who will actually use the equipment, where the computing power will be deployed and whether a Chinese-controlled entity sits somewhere behind the transaction.

Recent US guidance has clarified that restrictions covering sensitive American technology may apply not only to named Chinese companies, but also to entities they ultimately own. Nvidia has reportedly responded by sharply reducing the number of approved Asian customers across Singapore, Malaysia and Japan after intensive checks on ownership and end users. Access to its most sought-after processors increasingly depends on making it onto a heavily vetted “white list.”

In this case, neo-cloud operators were the most affected. But these matter equally to Asian data-centre operators, semiconductor manufacturers, telecom groups building AI infrastructure, industrial companies developing proprietary AI, sovereign-backed technology platforms and regional businesses whose investors, customers or affiliates span China and the West.

Polestar is headquartered in Sweden, listed on Nasdaq, and manufactures vehicles in South Carolina. Yet when it came to maintaining access to the US market, those markers of global integration mattered less than the ownership structure behind it. Following a decision under new US connected vehicle restrictions, Polestar will no longer be permitted to sell future vehicle models in the American market. The decisive factor was not product, compliance, or operations, but its Chinese ownership structure.

For multinational companies operating across increasingly fragmented geopolitical markets, that should command attention. Polestar is not an isolated story. It is the latest expression of a regulatory logic that has been gaining momentum for years -one increasingly focused not simply on what companies do, but who ultimately controls them. To understand how this logic developed, it helps to look at the pattern that came before.

Written with Anita Ng (Kompass Advisory)

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A three-way contest over the future of AI infrastructure is reshaping the conditions of global business. The way companies navigate overlapping regulatory and geopolitical frameworks will determine whether large-scale capital investments translate into sustained value creation or structural constraint.

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