Kumbaya AI: Why Singing Digital Campfire Songs with China Won’t Work (Or: How I Learned to Stop Worrying and Love the AI Arms Race)

A Response to MIT Technology Review’s Technological “Peace Plan”. The recent MIT Technology Review article “There can be no winners in a US-China AI arms race” presents itself as a voice of reason in an increasingly tense technological rivalry. However, beneath its veneer of diplomatic wisdom lies a dangerous cocktail of wishful thinking, historical amnesia, and strategic naivety that would make even the most optimistic 1990s “end of history” enthusiast blush (https://www.technologyreview.com/2025/01/21/1110269/there-can-be-no-winners-in-a-us-china-ai-arms-race/). 

The False Promise of Cooperation: A Historical Perspective 

The article’s central thesis – that the US and China must cooperate rather than compete on AI development – reads like a well-intentioned but misguided United Nations resolution, drafted by those who have forgotten (or never learned) how technological innovation actually occurs. One might as well have suggested in 1962 that the US and USSR should “cooperate” on their space programs for the “benefit of all humanity.” How charmingly naive that would have seemed during the Cuban Missile Crisis. 

History shows unequivocally that competition, not kumbaya cooperation, drives technological advancement. The Space Race gave us unprecedented innovations not because Kennedy and Khrushchev shared their rocket blueprints over friendly games of chess, but precisely because they competed fiercely. The Internet, GPS, and numerous other technologies we now take for granted emerged from competitive pressure, not international singing circles. 

The Cooperation Paradox 

Perhaps most amusingly, the authors seem unaware of what might be called the “cooperation paradox” – the historical pattern where the most significant international scientific cooperation occurs AFTER, not before, periods of intense competition establish clear hierarchies and boundaries. The authors have confused cause and effect with all the certainty of someone who believes the rooster’s crow causes the sun to rise. 

The Fantasy of Shared Governance  

The proposal for “bilateral and multilateral AI governance” deserves special attention for its spectacular detachment from reality. One imagines the authors envision something akin to the International Atomic Energy Agency, but for AI – as if deep learning models were as easy to inspect as uranium enrichment facilities. The suggestion that we can simply agree on “ethical norms” across fundamentally different political systems would be comedic if it weren’t so dangerous. 

Let us be clear: China’s vision for AI governance involves centralized control, surveillance, and social management that would make Orwell’s Big Brother seem technologically primitive. The Western approach, with its emphasis on individual privacy and rights, exists in a different moral universe. Suggesting these differences can be bridged with a few international conferences and memoranda of understanding is like suggesting that vegetarians and carnivores can resolve their differences by opening a restaurant together. 

The Security Delusion 

The article’s dismissal of national security concerns as mere rhetoric reveals a profound misunderstanding of both history and human nature. The authors seem to believe that by simply declaring security concerns illegitimate, they can wish away the real challenges of AI weapons development and military applications. One wonders if they would have suggested the same approach to nuclear weapons in 1945 – perhaps the Manhattan Project should have been a joint US-German initiative for the benefit of humanity? 

The Technological Inevitability Myth 

Another fundamental flaw in the article’s reasoning is its implicit assumption that AI development follows a single, inevitable path that all nations must traverse together. This ignores the reality that different societies may develop AI in radically different directions based on their values and objectives. The Chinese social credit system and the Western focus on individual privacy aren’t different points on the same path – they’re different paths altogether. 

The Development Fallacy 

The article’s assertion that developing nations view AI more positively than developed nations is both simplistic and irrelevant to the core strategic questions at hand. It’s rather like noting that people who don’t own cars are more excited about getting them than those who already have them – true, perhaps, but hardly a basis for international strategic planning. 

Historical Parallels and Their Limitations 

The authors’ comparison to nuclear arms control is particularly misguided. Nuclear weapons are binary – they either exist or they don’t, and their use is catastrophically obvious. AI capabilities exist on a spectrum, their development is often invisible, and their deployment can be subtle and deniable. Suggesting we can control AI development through international treaties shows a fundamental misunderstanding of both the technology and the nature of international agreements. 

The Economic Dimension 

Conspicuously absent from the article’s analysis is any serious consideration of the economic implications of AI development. The authors seem to believe that the profit motive and national economic interests will politely step aside in favor of international cooperation. One wonders if they’ve ever visited a stock exchange or read a corporate earnings report. 

A More Realistic Path Forward 

Rather than pursuing an unrealistic vision of complete cooperation, the US should: 

1. Maintain and expand its competitive advantage in key AI capabilities while identifying specific, limited areas where cooperation makes tactical sense
2. Develop robust AI security frameworks independently rather than waiting for international consensus that will never arrive
3. Strengthen alliances with democratic partners who share our values regarding AI development
4. Invest heavily in domestic AI research and development rather than hoping for international collaboration to solve our challenges
5. Establish clear red lines and consequences for their violation, while maintaining diplomatic channels for crisis management
6. Develop resilient AI supply chains that aren’t dependent on potential adversaries.

Learning from Past Technological Revolutions 

The history of technological revolution offers clear lessons that the article’s authors seem determined to ignore. The Industrial Revolution wasn’t managed by international committee. The digital revolution wasn’t guided by UN resolutions. Each technological revolution created winners and losers, shifted the global balance of power, and eventually settled into new equilibriums through competition, not cooperation. 

Conclusion: Reality Over Fantasy 

While the article’s authors are correct that unrestricted AI competition carries risks, their proposed solution of comprehensive cooperation belongs in the realm of fantasy rather than serious policy discussion. The path forward lies not in pretending we can eliminate competition, but in managing it intelligently while maintaining our technological edge. The stakes are too high to indulge in wishful thinking about international cooperation overcoming fundamental strategic rivalries. 

The real challenge is not choosing between competition and cooperation, but determining how to compete effectively while maintaining sufficient dialogue to prevent catastrophic outcomes. This requires clear-eyed realism about both the potential and limitations of international cooperation in AI development. Anything less is not just naive – it’s dangerous. 

As we stand at this technological crossroads, we would do well to remember that the road to technological irrelevance is paved with good intentions and international cooperation agreements. The choice before us is not between competition and cooperation, but between maintaining our technological sovereignty and surrendering it in the name of a cooperation that exists only in the minds of well-meaning but misguided observers. 

Robert Nogacki

Founder and Managing Partner of Skarbiec Law Firm, recognized by Dziennik Gazeta Prawna as one of the best tax advisory firms in Poland (2023, 2024). Legal advisor with 19 years of experience, serving Forbes-listed entrepreneurs and innovative start-ups. One of the most frequently quoted experts on commercial and tax law in the Polish media, regularly publishing in Rzeczpospolita, Gazeta Wyborcza, and Dziennik Gazeta Prawna. Author of the publication “AI Decoding Satoshi Nakamoto. Artificial Intelligence on the Trail of Bitcoin’s Creator” and co-author of the award-winning book “Bezpieczeństwo współczesnej firmy” (Security of a Modern Company). LinkedIn profile: 17,000 followers, 4 million views per year. Awards: 4-time winner of the European Medal, Golden Statuette of the Polish Business Leader, title of “International Tax Planning Law Firm of the Year in Poland.” He specializes in strategic legal consulting, tax planning, and crisis management for business.