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   AI belongs to humanity, not superpowers   
      
   Date:   
   Mon, 03 Nov 2025 15:24:23 +0000   
      
   Description:   
   How the U.S. can lead with AI by example in openness, collaboration, and   
   shared stewardship.   
      
   FULL STORY   
      
   Donald Trump's new AI Action Plan promises to secure American dominance   
   through deregulation and American competition.  While the goal of making   
   advancements in AI is admirable, the path proposed misunderstands how AI   
   innovation actually works.   
      
   Having spent decades in AI research and entrepreneurship, from founding   
   companies to publishing foundational work in information theory and   
   cryptography, I can tell you that treating AI as a zero-sum national   
   competition is self-defeating.    
      
   The real threat to American leadership is the delusion that any single nation   
   can or should monopolize humanity's most transformative technology.    
      
   In fact, the biggest moat that can be achieved in AI development is achieved   
   by organizations that get the world's brightest minds to freely contribute   
   their knowledge.  The only way to achieve this is through genuine inclusivity   
   and openness.   
      
   The truth about global AI   
      
   Technology can be a great unifier, transcending borders in ways that politics   
   cannot.  Consider how global supply chains, international datasets, and   
   algorithms developed by research teams worldwide have built today's AI   
   ecosystem.   
      
   Immigrant entrepreneurs have founded or co-founded 55% of America's   
   billion-dollar startups, with 80% of unicorn companies having an immigrant in   
   key leadership roles.    
      
   International researchers contribute to 76% of patents at top American   
   universities. These numbers show how openness and collaboration have been the   
   foundation of American technological leadership.    
      
   When we restrict the flow of talent and ideas, we export innovation.    
   Companies simply move operations elsewhere, and they take jobs and knowledge   
   with them.    
      
   The semiconductor industry already faces a projected shortfall of 146,000   
   skilled positions in the U.S. Even TSMC's Arizona facilities required   
   engineers from Taiwan due to local talent shortages.   
      
   Why AI monopolies are different   
      
   Narrow monopolies can be the best way to accelerate specific technologies,    
   but AI is not like other technologies. It's an all-encompassing    
   transformation that touches every aspect of human activity.    
      
   AI improves through collective human feedback and diverse data ; broader   
   cultural context makes AI better. When you restrict who can contribute to and   
   improve AI, you're limiting the technology's ability to reach its potential.   
   An AI developed only by one demographic will embed biases that make it    
   useless for others.    
      
   This is why open-source AI models are catching up so quickly. They benefit   
   from millions of developers finding bugs, suggesting improvements, and   
   adapting models for thousands of specific use cases that no single company   
   could ever anticipate.    
      
   Attempting to monopolize something this broad and fundamental will trigger   
   massive global pushback. Closing doors cant stop innovation; it just ensures   
   it happens elsewhere.    
      
   A world where multiple nations and organizations contribute to AI development   
   is inherently more stable and innovative than one dominated by any single   
   power. We've seen throughout history that technological progress accelerates   
   when ideas flow freely across borders, whether in mathematics, physics, or   
   computer science.    
      
   AI is no different, except the stakes are higher and the potential benefits   
   greater.   
      
   The real cost of the arms race mentality    
      
   The current approach creates contradictions that harm the very goals it    
   claims to serve. Tariff regimes increase construction costs for data centers   
   by 15-20%, which makes the infrastructure needed for AI development   
   prohibitively expensive for startups.    
      
   It hurts small companies, but it also prevents American businesses and   
   consumers from accessing globally competitive, low-cost infrastructure.   
   America is essentially taxing its own innovation.    
      
   More concerningly, framing AI as nationalist competition pushes us toward   
   weaponization rather than problem-solving.    
      
   Instead of using AI to address climate change, cure diseases, or expand human   
   knowledge, we risk creating competing camps where smaller nations must choose   
   sides and global challenges remain unsolved.    
      
   The proposed removal of safety guardrails while demanding ideological   
   neutrality creates a different but equally problematic form of control. True   
   innovation requires both responsible development and diverse perspectives,    
   and this cannot be achieved through prescriptive mandates from any    
   government.   
      
   We need digital internationalism    
      
   The vision should be about plurality in use cases, where everyone has access   
   to the highest levels of AI technology tailored to their values and needs.   
   This will strengthen humanity's collective capability to solve our greatest   
   challenges.    
      
   Resilience comes from diversitymultiple pathways, multiple contributors,   
   multiple visions working in parallel. We need international governance   
   frameworks that reflect global values, not just those of dominant powers. AI   
   affects everyone, so its development and governance should reflect this    
   global stakeholder community.    
      
   Just as importantly, we must solve the economic challenge that has long   
   plagued open-source development: creating sustainable financial models that   
   reward contributors.    
      
   We need to ensure developers who contribute to humanity's shared AI   
   infrastructure can build careers and companies around that work so that the   
   best minds are rewarded for their work in open development rather than being   
   pulled exclusively into closed corporate labs.    
      
   The fact of the matter is that open-source AI will win regardless of what any   
   government decides. The combined innovative power of millions of global   
   developers will always outpace any closed system, no matter how well-funded.   
   We're already seeing this with open frameworks outperforming proprietary   
   systems.    
      
   History shows that countries trying to control transformative technologies   
   through closure and protectionism get left behind. The real victory comes    
   from building technology that serves humanity's needs while maintaining the   
   openness that drives innovation.    
      
   Leadership happens best through championing the collaborative spirit that has   
   always been the true source of technological progress.    
      
    This article was produced as part of TechRadarPro's Expert Insights channel   
   where we feature the best and brightest minds in the technology industry   
   today. The views expressed here are those of the author and are not   
   necessarily those of TechRadarPro or Future plc. If you are interested in   
   contributing find out more here:   
   https://www.techradar.com/news/submit-your-story-to-techradar-pro   
      
   ======================================================================   
   Link to news story:   
   https://www.techradar.com/pro/ai-belongs-to-humanity-not-superpowers   
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