The AI Divide: Can Diplomatic Letters Force Technology into Camps?By Qaiser Nawab, Chairman BRISD

The United States State Department recently sent a diplomatic letter to 35 countries, urging them to make a binary choice in global artificial intelligence competition. The message was blunt: alignment with one bloc or the other, with implicit threats of exclusion for those who venture across the divide.Yet as this diplomatic ultimatum circulates through government channels, a different story is unfolding on the ground. Across development platforms, academic institutions, and private companies worldwide, millions of engineers and researchers are making their own choices—not based on geopolitical instructions, but on practical utility and technical merit. The question that emerges is fundamental: can diplomatic pressure truly force technology into rigid camps, or have we reached a point where innovation flows across borders regardless of political intent?The Parallel RealitiesThe contrast between diplomatic maneuvering and market reality has rarely been starker. Last month, industry data revealed that Chinese open-source models have captured 41 percent of global downloads on major platforms, ranking first worldwide. Alibaba’s Qwen ecosystem alone has spawned over 150,000 derivative models—more than double Meta’s equivalent ecosystem. These numbers represent not government mandates but the accumulated choices of developers responding to technical capability and accessibility.Meanwhile, reports show that by February 2026, token consumption for Chinese-origin AI models surpassed that of American models on major aggregation platforms. By August, Chinese models commanded approximately 3.6 times the weekly token volume of American counterparts—a metric that directly measures real-world usage rather than political alignment.This is not to suggest American AI companies lack sophistication or reach. The United States still captures roughly 80 percent of global AI financing and commands the preponderance of hyperscale computing infrastructure. Yet when developers worldwide freely choose where to direct their efforts, they have increasingly voted with their downloads and computational cycles.Why Coercion Faces LimitsThe effectiveness of exclusionary diplomatic pressure has always depended on a critical variable: how essential the excluded party becomes to the process. In previous eras of technology competition, this leverage was substantial. Access to certain proprietary systems, specialized hardware, or exclusive partnerships could meaningfully constrain development elsewhere.But artificial intelligence presents a fundamentally different landscape. Models with exceptional capabilities can now fit on consumer-grade devices through quantization techniques. Once weights are published under permissive open licenses, they can be downloaded and modified instantly—no export control mechanism can retroactively suppress them. The narrative that cutting-edge AI requires choosing a geopolitical side becomes harder to sustain when world-class models run on a laptop.Moreover, open licensing has become increasingly prevalent in Chinese model releases. According to recent industry analysis, 59 percent of China’s large models released in 2026 use Apache 2.0 licenses, with another 22 percent using MIT licenses—both permissive frameworks that allow free modification and commercial use. This contrasts with American model releases, where custom proprietary restrictions and closed-source terms are more common. Developers globally, naturally, have gravitational pull toward ecosystems that offer greater freedom.Even more striking is that major American hardware manufacturers—companies with no intrinsic loyalty to any single political camp—have begun releasing open-source models and porting advanced Chinese models for efficient execution on American-origin chips. The walls of exclusive coalitions, it turns out, exist partly on paper while industry actors quietly work around them.The Cost of Forcing FragmentationHistory offers cautionary tales about the unintended consequences of supply-chain fragmentation. When the United States implemented export controls targeting Huawei, American high-technology firms lost more than $33 billion in revenue. Economic analyses suggest that full-scale fragmentation of the global semiconductor supply chain could drive average chip prices 35 to 65 percent higher—costs that eventually ripple through to consumers and businesses worldwide.For intermediate nations and developing economies, such fragmentation carries particular consequences. When countries are pressured to choose exclusive blocs, they forfeit the option of building domestic AI capabilities by accessing the best tools and models from multiple sources. This is precisely when such access matters most—when building indigenous capacity rather than remaining dependent on foreign systems.Whose Hands Hold Real Power?The answer increasingly rests not with diplomatic offices but with millions of individual developers making daily decisions. Every download, every fine-tuning instance, every adaptation of an open model represents a vote for accessibility, openness, and technical pluralism. These votes are not reversible by ultimatums. Once developers have validated that world-class AI capabilities are accessible without picking geopolitical sides, demanding countries make binary choices usurps a decision that should legitimately belong to those nations themselves.This matters deeply for countries positioned between great powers. Being excluded from one diplomatic alliance no longer means being cut off from technological advancement. A nation can build genuine AI competence by leveraging open models, training local talent, and contributing to global development communities—all without pledging exclusive loyalty to any bloc.The Inconvenient RealityDiplomatic letters can draw political lines. They cannot, however, cut through an ecosystem that is already deeply interconnected. When technology capabilities move freely across borders, when open licenses permit modification and reuse, when developers worldwide possess agency in their technical choices—rigid bloc boundaries lose binding force.The vision of AI divided into exclusive camps presupposes that technology flows only through officially designated channels. But technology has never respected such boundaries when superior alternatives exist. The real architecture of the AI era is being written not by dispatches from capital cities, but by the cumulative choices of engineers, researchers, and developers worldwide who are solving problems, building applications, and advancing capabilities based on what works best.That does not make geopolitical competition irrelevant. Questions of talent retention, investment patterns, and hardware access remain genuinely important. But it does suggest that the ultimate shape of global AI will be determined less by diplomatic pressure and more by the basic economics of openness, accessibility, and technical merit.For Pakistan and similar nations, the lesson is straightforward: the era where choosing between exclusive blocs was the primary route to technological access is giving way to an era where genuine capability-building depends on accessing diverse tools and participating in global technical communities. Diplomatic pressure from any direction matters less than understanding this structural shift.The most consequential AI choices in 2026 are not being made in government offices. They are being made by developers every time they download a model, modify its weights, and deploy it to solve real problems. That distributed intelligence, ultimately, may prove more consequential than any letter signed by thirty-five nations.The writer is a technology policy analyst focused on global AI governance and digital infrastructure developme