{"id":1948,"date":"2025-07-27T14:15:05","date_gmt":"2025-07-27T08:30:05","guid":{"rendered":"https:\/\/onlinepeoplesnews.com\/?p=1948"},"modified":"2025-07-27T14:15:05","modified_gmt":"2025-07-27T08:30:05","slug":"us-ai-action-plan-a-strategy-of-domestic-openness-global-control","status":"publish","type":"post","link":"https:\/\/onlinepeoplesnews.com\/?p=1948","title":{"rendered":"US AI Action Plan: A Strategy of “Domestic Openness, Global Control”"},"content":{"rendered":"
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Kathmandu, Nepal<\/em>\u00a0\u2013 The United States government recently unveiled its\u00a0AI Action Plan<\/strong>, a comprehensive strategy aimed at securing its dominance in artificial intelligence, which it describes as a “defining battle of the 21st century.” The plan outlines over\u00a090 recommendations<\/strong>, covering technological innovation, AI applications, and global governance. Many analysts see this as the\u00a0most significant AI policy directive<\/strong>\u00a0from the current US administration\u2014one that could reshape the global economic and political order.<\/p>\n

However, beneath its seemingly transparent approach, the plan reveals a\u00a0dual strategy<\/strong>: promoting\u00a0open-source AI domestically<\/strong>\u00a0while enforcing\u00a0closed-source policies globally<\/strong>\u00a0to maintain control. For countries like\u00a0Nepal<\/strong>, which are still developing their AI ecosystems, understanding this strategy is crucial to navigating the future of technology and avoiding over-dependence on foreign-controlled systems.<\/p>\n

Why Is the US AI Plan an “Overt Scheme”?<\/strong><\/h3>\n
    \n
  1. \n

    Highly Publicized Policy Process<\/strong>
    \nThe US government has been\u00a0transparent<\/strong>\u00a0in drafting this plan\u2014but with clear intentions. Following the rise of AI giants like\u00a0DeepSeek<\/strong>, the Trump administration sought public input, collecting\u00a0over 10,000 comments<\/strong>\u00a0from experts, tech firms, and think tanks. This open consultation was not just about gathering ideas but also about\u00a0preparing the public<\/strong>\u00a0for major AI policy shifts and testing reactions before finalizing decisions.<\/p>\n<\/li>\n

  2. \n

    Already in Motion Before Official Release<\/strong>
    \nLong before this document was published, the US had been\u00a0actively shaping global AI rules<\/strong>. Through initiatives like the\u00a0Stargate Project<\/strong>, Washington is expanding AI infrastructure worldwide while using\u00a0chip export controls<\/strong>\u00a0and\u00a0investment policies<\/strong>\u00a0to dominate the market. The AI Action Plan is merely a\u00a0formal announcement<\/strong>\u00a0of what has already been underway.<\/p>\n<\/li>\n<\/ol>\n

    The Hidden Agendas in the US AI Strategy<\/strong><\/h3>\n

    While the plan emphasizes\u00a0innovation and transparency<\/strong>, a closer look reveals\u00a0strategic manipulations<\/strong>:<\/p>\n

      \n
    • \n

      “Objective AI” \u2013 A Smokescreen for Control<\/strong>
      \nThe US claims it will only work with AI developers that ensure\u00a0“unbiased and ideologically free”<\/strong>\u00a0systems. Yet, it simultaneously accuses Chinese AI models of being under\u00a0government censorship<\/strong>. This is a classic case of\u00a0projecting its own issues onto rivals<\/strong>. Recent controversies, like\u00a0Grok AI’s racist and politically inflammatory outputs<\/strong>, show that US models are far from neutral. By setting\u00a0“ethical AI” standards<\/strong>, the US is actually trying to\u00a0control the narrative<\/strong>\u00a0and exclude competitors.<\/p>\n<\/li>\n

    • \n

      Open Source at Home, Closed Source Abroad<\/strong>
      \nThe plan\u00a0pretends to support open-source AI<\/strong>, but in reality, major US tech firms (Meta, OpenAI, Google<\/strong>)\u00a0refuse to share critical AI models<\/strong>, fearing foreign competition. Instead, the US promotes open-source\u00a0only for domestic startups and academia<\/strong>, helping them access computing power while keeping\u00a0global competitors<\/strong>\u00a0locked out. This ensures that while American companies benefit from shared resources, the rest of the world remains dependent on\u00a0US-controlled proprietary systems<\/strong>.<\/p>\n<\/li>\n<\/ul>\n

      What Does This Mean for Nepal?<\/strong><\/h3>\n

      For Nepal, which is still in the\u00a0early stages of AI adoption<\/strong>, the US strategy presents both\u00a0opportunities and risks<\/strong>:<\/p>\n

      \u2714\u00a0Opportunities:<\/strong><\/p>\n

        \n
      • \n

        Access to\u00a0open-source tools<\/strong>\u00a0(if selectively available) could help Nepali startups and researchers.<\/p>\n<\/li>\n

      • \n

        Collaboration with US tech firms could bring\u00a0investment and knowledge transfer<\/strong>.<\/p>\n<\/li>\n<\/ul>\n

        \u274c\u00a0Risks:<\/strong><\/p>\n

          \n
        • \n

          Dependency on US-controlled AI<\/strong>\u00a0could limit Nepal\u2019s ability to develop\u00a0independent AI systems<\/strong>.<\/p>\n<\/li>\n

        • \n

          If the US enforces\u00a0closed-source policies globally<\/strong>, Nepal may face restrictions in accessing\u00a0cutting-edge AI models<\/strong>.<\/p>\n<\/li>\n

        • \n

          Geopolitical tensions<\/strong>\u00a0(US vs. China) could force Nepal into choosing sides in the AI race.<\/p>\n<\/li>\n<\/ul>\n

          The Path Forward for Nepal<\/strong><\/h3>\n

          To avoid being caught in the\u00a0US-China AI rivalry<\/strong>, Nepal should:<\/p>\n

            \n
          1. \n

            Develop Local AI Policies<\/strong>\u00a0\u2013 Create a national AI strategy that prioritizes\u00a0self-reliance<\/strong>\u00a0and\u00a0ethical AI development<\/strong>.<\/p>\n<\/li>\n

          2. \n

            Encourage Open-Source Adoption<\/strong>\u00a0\u2013 Support homegrown AI research and\u00a0avoid over-reliance on foreign proprietary models<\/strong>.<\/p>\n<\/li>\n

          3. \n

            Strengthen International Partnerships<\/strong>\u00a0\u2013 Work with\u00a0non-aligned tech nations<\/strong>\u00a0to build a\u00a0balanced AI ecosystem<\/strong>.<\/p>\n<\/li>\n<\/ol>\n

            Conclusion: A Double Game in AI Dominance<\/strong><\/h3>\n

            The US AI Action Plan is not just about\u00a0technological leadership<\/strong>\u2014it\u2019s about\u00a0controlling the global AI supply chain<\/strong>. By pushing\u00a0open-source domestically and closed-source globally<\/strong>, the US aims to\u00a0keep the world dependent on its systems<\/strong>\u00a0while blocking competitors.<\/p>\n

            For Nepal, the key takeaway is clear:\u00a0Build your own AI future, or risk being left behind in someone else\u2019s game.<\/strong><\/p>\n

            Pic: Source GlobalTimes<\/p>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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