Insights from a Private Roundtable on Allied AI Ecosystems
A note on sourcing:
This roundtable was conducted under the Chatham House Rule. The summary below reflects the substance of the discussion only—no comment is attributed to any individual or to the organizations they represent.
On June 4, 2026, NYU’s Wahba Initiative for Strategic Competition convened a private roundtable in Washington, D.C. on building allied AI ecosystems without strategic fragmentation or dependency. The conversation brought together senior voices from the U.S. government, allied diplomatic missions, industry, and academia. What follows distills the substantive threads of that discussion—not who said what, but what was said.
I. Three Conditions for Winning the AI Race
One framing offered early in the discussion organized the entire competition around three conditions: innovation, market share, and supply chain security—particularly for rare earths and robotics inputs. The point was not that any one of these is sufficient on its own, but that democratic nations tend to over-index on the first (whose model is most capable) while under-investing in the second and third, where an increasingly coordinated competitor has built real advantage.
II. Beyond Chatbots: AI as a Physical-World Revolution
Several participants pushed back on framing AI primarily as conversational software. The “real revolution,” in this telling, is physical: AI embedded in drones, telecommunications equipment, robotics, and industrial systems. That reframing was also offered as a messaging fix—today’s public conversation about AI tends to center on job displacement and chatbots, when the more persuasive and more accurate case is about AI creating new categories of work and capability inside the physical systems people already rely on.
III. The Sovereignty Trap
A recurring concern was expressed: countries pursuing “sovereign AI” by trying to build complete, independent stacks risk losing a decade reinventing capabilities that took others decades to build—while failing to capitalize on the comparative advantages they already have. Europe was the specific case raised. It has genuine strength in telecommunications, robotics, and advanced manufacturing set against the temptation to pour resources into recreating cloud and model layers where incumbents already hold a structural edge. The better path, in this view, is reindustrialization paired with rapid adoption of existing AI tools, not the pursuit of parallel infrastructure that cannot realistically catch up.
The same logic was extended to the United States. Rather than treating the resource question as simply how much to invest in frontier models, several participants argued the United States should direct comparable focus toward applying AI to its own industrial base—leaning into physical AI in the areas where it already holds genuine strength, from robotics to defense-related manufacturing—as the most direct way to rebuild the productive capacity lost to decades of deindustrialization.
IV. Confronting “Doomerism” with an Affirmative Narrative
There was sharp criticism of what participants called “doomerism” (narratives centered on catastrophic or existential AI risk). The concern raised was strategic, not just rhetorical. Publics will not support a policy agenda framed around mass job loss, but they will support AI framed as something that solves problems in their own lives. Multiple participants pointed to the need for an affirmative narrative comparable to how earlier waves of computing technology made the case that new tools would improve everyday life, and specifically referenced existing multi-stakeholder workforce-skills initiatives—helping employers and workers build AI fluency —as a concrete way to mitigate anxiety about job loss, with a suggestion that this kind of work could be coordinated at the G7 level.
V. Two Parallel Policy Architectures Taking Shape
On the United States side, participants described a near-term regulatory architecture built around a “full-stack” designation process for AI providers, with a deadline at the end of June 2026 for proposals. Designated providers would receive a bundle of preferential treatment—expedited export licensing, financing support, and direct sales assistance—intended to tip the scale toward U.S.-anchored ecosystems without distorting the broader market. The design explicitly leaves room for firms from allied nations to contribute layers within a designated stack. A second, parallel track was described for “on-demand” matchmaking: countries that approach the U.S. government directly with a bespoke requirement would be paired with appropriate U.S. industry partners.
On the European side, participants discussed a recently adopted “sovereignty package” built around three goals: accelerating AI adoption among European industry, leveraging existing European industrial strengths, and shoring up resilience in critical technology supply, particularly semiconductors. One specific initiative discussed aims to expand AI-relevant power capacity from approximately 45 gigawatts today toward a 60-gigawatt target within the next decade. Public-sector procurement requirements were also discussed in tiered terms. Only a small share of total cloud usage, concentrated in defense-related applications, would face the most stringent security and resilience requirements. The stated intent would be avoiding the kind of compliance “gold-plating” that has made comparable frameworks from the United States costly, and of applying the standard consistently across European governments rather than letting each set its own bar.
VI. Where Trusted Interdependence Already Exists
A point that was made repeatedly: the United States and Europe do not need to build trusted interdependence from scratch. It already exists in chemicals, machinery, shipping, and semiconductor manufacturing. The strategic priority is protecting and extending that existing interdependence into AI, rather than treating AI as a wholly new domain that requires new institutions built from first principles.
VII. The Deindustrialization Warning
Multiple participants raised concern about deindustrialization across the West, contrasted with China’s continued manufacturing strength. One pointed formulation was advanced: products are often “designed in California, manufactured in China,” and neither the United States nor Europe currently has an equivalent ecosystem capable of taking a design and rapidly figuring out how to produce it at scale. This was tied to a broader argument that AI’s impact will be determined less by which lab produces the best model and more by who can actually manufacture and deploy AI-embedded products. Additionally, there was a critique that Europe’s energy strategy, by prioritizing clean-energy investment without adequately growing total capacity, has contributed to a long-run decline in Europe’s share of global GDP, cited in the discussion as falling from approximately 28 percent in the early 1980s to some 14 percent today.
VIII. Trust, Values, and the “Soccer Ball Problem”
A useful distinction emerged around what kind of trust matters, and for which products. The argument: trust in who manufactures something scales with how critical that product is—there is a meaningful difference between trusting the maker of a soccer ball and trusting the maker of a telecommunications base station, because AI increasingly means a manufacturer’s values and standards are embedded directly into a product’s function. This was offered as the strongest argument for why interoperability and vendor choice matter more in AI than in ordinary trade—switching providers isn’t just a commercial preference, it’s a way of controlling which values get embedded in a country’s critical infrastructure.
IX. Open Source and the Fight for the Global Middle
A concrete vulnerability was raised: researchers and developers in some allied countries are increasingly relying on freely available Chinese open-source AI models—not out of preference, but because no competitive, trusted alternative exists at the same cost. Participants connected this directly to the broader contest for the “global middle,” the large bloc of countries not yet committed to either ecosystem. Frontier-model leadership and adoption leadership, the argument went, are two different competitions, and interoperability—the ability to switch providers without losing access to the broader network—is the clearest differentiator democracies can offer against the vendor lock-in associated with some non-Western providers. One participant noted that a significant share of the global market—cited at approximately half—is already effectively closed off due to existing alignment with Chinese-built infrastructure, underscoring the urgency of building a clear, affirmative case for the remaining open contest, particularly since the allied democratic bloc represents a minority (cited at around 30 percent) of global consumption on its own.
Closing Thought
These nine threads don’t resolve into a single recommendation—and they weren’t meant to. What they share is a premise restated throughout the discussion: democratic nations face two failure modes, not one. They can become coercively dependent on infrastructure they don’t control, or they can fragment into incompatible, smaller-scale systems that lose to a more coordinated competitor. The conversation suggested that the harder, more urgent discipline right now is the second one—because staying coordinated, unlike declaring independence, has no natural political constituency pushing for it.
