Beyond the Arms Race: Why AI Development Needs a New Narrative for North East India
The way we talk about artificial intelligence shapes how nations invest, regulate, and collaborate. For North East India, where technology adoption is still in its early stages, the prevailing narrative of an "AI arms race" between the US and China could stifle innovation, deepen economic dependencies, and divert focus from shared global challenges. A recent shift in perspective advocated by Verity Harding, former head of global public policy at Google DeepMind suggests that framing AI as a zero-sum competition risks locking smaller nations into geopolitical alliances that may not serve their long-term interests. For regions like the North East, where infrastructure and talent are still developing, this framing could have lasting consequences on economic growth and technological sovereignty.
1. The Myth of the Arms Race and Its Global Consequences
The metaphor of an "AI arms race" emerged around 2016, coinciding with rapid advancements in machine learning and the launch of ChatGPT in November 2022. This framing was initially rooted in concerns about AI s potential misuse particularly as a weapon but it quickly became a tool for policymakers and corporations to justify aggressive competition. Harding notes that the language of war "restricts thinking," turning a complex technological evolution into a binary struggle between democracies and authoritarian regimes. This narrative was amplified by geopolitical tensions, including the pandemic and the Ukraine war, which heightened fears of AI-driven surveillance and military applications.
For North East India, where digital infrastructure is still evolving, this arms race framing could lead to a false sense of urgency. The region s tech ecosystem, though growing, remains dependent on imports whether in semiconductors, data centers, or AI models. A focus on "winning" the AI race might push governments to align with either the US or China, prioritizing short-term economic gains over long-term resilience. For example, if India were to adopt strict export controls like those proposed by the Trump administration, it could inadvertently strengthen China s dominance in critical AI sectors, leaving the North East vulnerable to technological bottlenecks.
2. The Role of Nationalism and Corporate Influence
The rise of the arms race metaphor was not just driven by fear but also by strategic interests. Harding points to the Trump administration s executive order on AI as a case study, where nationalist rhetoric was used to justify restricting access to advanced models. Similarly, corporate labs like Anthropic and OpenAI have amplified this narrative by framing AI as a "race" where only the most powerful entities can control its future. This creates a feedback loop: the more AI is seen as a weapon, the more labs and governments invest in competitive, rather than collaborative, solutions.
In the North East, this dynamic could manifest in two ways. First, there might be pressure to emulate the US or China s AI strategies, even if they don t align with local needs. Second, smaller tech firms could face challenges in scaling up if they re seen as "lagging" behind. For instance, if India s AI startups rely heavily on US-based models, they risk becoming dependent on foreign control something the North East s emerging tech hubs, like Guwahati s growing digital economy, cannot afford.
Harding argues that the commercialization of AI driven by venture capital and corporate ambition has further complicated the narrative. The speed and scale of investment have made collaboration seem less urgent, even as risks grow. For North East India, this means that while the region has the potential to become a hub for AI-driven agriculture, healthcare, and education, it might struggle to compete if it s framed as a secondary player in a global contest.
3. The Case for International Collaboration Over Isolation
Harding advocates for an "internationalist" approach, where nations like India, the UK, Canada, and Japan collaborate to shape AI s future without being forced into superpower alliances. This could involve forming a "middle powers coalition" to leverage collective strengths whether in talent, critical minerals, or startup ecosystems. For North East India, this might mean partnering with global players to develop AI solutions tailored to regional needs, such as climate resilience or tribal digital literacy.
A key example is India s existing collaborations with the UK on AI for healthcare, where joint research has led to innovations in remote diagnostics. If this model were expanded, North East states like Nagaland or Manipur known for their tech-savvy youth and unique cultural needs could gain a competitive edge. Instead of competing in a global arms race, they could focus on niche applications where their strengths lie, such as AI for biodiversity monitoring or disaster prediction.
The challenge lies in breaking the cycle of nationalism and corporate-driven competition. Harding s solution is simple: reframe AI as a tool for global good, where collaboration is not just possible but necessary. For North East India, this means investing in local talent, building domestic AI infrastructure, and ensuring that any partnerships with foreign entities serve the region s interests not just the interests of global powers.
4. What s Next for North East India?
The future of AI in North East India will depend on how the region responds to the prevailing narrative. If it continues to adopt the arms race framing, it risks becoming a pawn in a larger geopolitical game, with consequences for its economy and sovereignty. But if it embraces Harding s call for international collaboration, it could position itself as a leader in AI-driven development especially in sectors like agriculture, where the region s unique climate and demographics offer untapped potential.
The path forward requires a few key steps. First, policymakers must challenge the arms race narrative and advocate for a more inclusive, cooperative approach. Second, the North East s tech community should focus on developing AI solutions that address local challenges, rather than chasing global trends. Finally, partnerships with middle powers like France or Japan could provide the leverage needed to shape AI s future on India s terms.
As AI continues to evolve, the way we talk about it will determine whether it becomes a tool for progress or a source of division. For North East India, the choice is clear: the arms race is not the only game in town. By shifting the focus toward collaboration, the region can ensure that AI serves its people and not just the interests of global superpowers.