The most consequential development in the global AI race may not be another model, chip or billion-dollar data center. It may be the fact that Washington and Beijing have concluded that they need a way to talk to each other when AI goes wrong.
On the surface, this appears paradoxical. The United States and China are competing intensely for leadership in artificial intelligence-across semiconductors, compute, models, infrastructure, talent and global markets. Yet they are simultaneously beginning to explore cooperation around AI safety and serious incidents.
This is evidence enough that the race has become important, and potentially dangerous, enough to require mechanisms for managing the rivalry.
History offers a useful parallel. Strategic competitors do not establish hotlines and incident-management mechanisms because competition has disappeared. They establish them because unmanaged competition itself has become a risk. The nuclear hotline was built on precisely this logic.
AI appears to be entering that phase.
What does it mean for emerging economies?
For emerging economies such as Nepal, there is a deeper implication. The technological superpowers may increasingly cooperate with each other to manage the risks of AI even as they compete intensely for everyone else's technological alignment.
That changes the question facing smaller countries.
It is no longer simply: How do we adopt AI?
It is becoming: How do we participate in the AI economy without surrendering strategic agency?
The strategic question for Nepal therefore cannot simply be whether it should align with America or China, or some other country. It should be whether Nepal can preserve sufficient technological agency in a world increasingly organized around powerful AI ecosystems.
Non-alignment is not the same as non-dependence
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Nepal has historically been adept at navigating competing geopolitical powers. That instinct naturally suggests a familiar answer: Don't choose sides.
But technology creates a different form of dependence.
A country can remain diplomatically non-aligned while becoming technologically dependent.
If its compute resides elsewhere, its critical data is processed elsewhere, its most important models are controlled elsewhere, and its AI infrastructure is owned elsewhere, diplomatic neutrality alone provides limited technological sovereignty.
This is why the emerging concept of sovereign AI deserves serious attention.
Sovereign AI does not mean Nepal needs to build its own NVIDIA or OpenAI. Nor does it mean attempting technological self-sufficiency. It means maintaining sufficient domestic capability across the foundational layers of the AI economy:
Energy → Connectivity → Data Centers → Compute → Data → Models & Applications → Skills
The less control a country retains over these layers, the less strategic freedom it ultimately possesses.
Sovereignty should not mean isolation
There is, however, an equally dangerous interpretation of technological sovereignty: attempting to build everything domestically.
For a small emerging economy, that would be unrealistic and economically inefficient.
The better objective is what I would call sovereign interoperability.
Nepal should control enough of its foundational infrastructure to preserve strategic agency while remaining deeply connected to the world's strongest technology ecosystems.
That could mean American GPUs and technology, Nepali renewable energy, Indian and international connectivity, regional and global cloud and neocloud customers, international infrastructure capital, domestic sovereign workloads, and Nepali datasets, models and applications.
The objective is not technological autarky. It is avoiding a single point of national technological dependence.
Nepal's geography has traditionally been discussed as a strategic constraint-a small country situated between two enormous powers. AI may allow us to think about that geography differently. Combined with renewable energy and growing connectivity, it could provide Nepal with a valuable place in the emerging geography of compute, provided the country can establish the necessary security, reliability and data governance.
AI changes the development equation
For much of the past three decades, digital development largely meant connecting citizens to the internet, digitizing government, adopting cloud services and consuming technologies developed elsewhere.
AI is changing that equation because the physical foundations of the digital economy have once again become strategically important: electricity, transmission, fiber, data centers, cooling, compute and capital.
That creates an unusual opportunity for countries possessing energy, geographic or infrastructure advantages. Instead of remaining primarily consumers of digital services, they can participate in the infrastructure layer where the foundations of the AI economy are being built.
For Nepal, this means an opportunity to convert its clean energy advantage into higher-value digital capacity.
A new kind of non-alignment
The original Non-Aligned Movement emerged in a world divided between competing geopolitical blocs.
The AI era may require a different form of non-alignment.
Not neutrality between technologies. Not isolation from global technology ecosystems. And certainly not an attempt to build everything domestically.
Rather, the ability to participate deeply in the global AI economy while retaining meaningful control over the infrastructure, data and capabilities that matter most to national development.
That is a technological agency.
Conclusion
The emerging U.S.–China AI dialogue therefore carries an important message for countries like Nepal. The AI superpowers may cooperate to manage the risks of the technology while continuing to compete fiercely over who controls its infrastructure, standards and economic value. Emerging economies should not mistake cooperation at the top for the end of competition underneath.
Nepal does not need to become an AI superpower.
But neither should it enter the AI age merely as a consumer of someone else's compute, someone else's models and someone else's digital infrastructure.
Its opportunity is to convert what it already possesses-clean energy, geography and connectivity-into what the AI economy increasingly values: compute, capability and ultimately technological agency.
(The author has a deep interest in infrastructure and digital technologies. He is building Nepal’s first AI ready Technology Center in Kathmandu.)
