TLDR: The Stimson Center, in an analysis by Maxwell Scott, argues against framing artificial intelligence development as a ‘race’ akin to the Cold War space race. Instead, the article advocates for international collaboration, ethical reflection, and inclusive governance to ensure AI benefits all, rather than perpetuating a winner-takes-all mentality that could hinder long-term U.S. technology leadership and global equity.
In a recent policy memo published by the Stimson Center on October 2, 2025, Maxwell Scott, a leading expert in responsible AI, challenges the prevailing narrative of an ‘AI race’ and calls for a shift towards collaboration and ethical governance. The article, titled ‘Beyond the Space Race: Collaboration and Competition in the Future of AI Governance,’ critically examines the geopolitical implications of viewing AI development through a lens of intense, zero-sum competition.
Scott highlights that the concept of an ‘AI race’ is deeply rooted in Western notions of winner-takes-all capitalism, a paradigm he argues is ill-suited for a technology as complex and pervasive as artificial intelligence. This competitive framing, he suggests, mirrors elements of the Cold War’s space race between the United States and the Soviet Union, which, while driving rapid innovation, also heightened global tensions. However, unlike the two-player contest for aerospace dominance that eventually led to international agreements like the 1967 UN Outer Space Treaty, current rhetoric around AI often retreats from such cooperative spirits.
The U.S. government’s document, ‘Winning the AI Race: America’s AI Action Plan,’ is cited as an example of policy actions explicitly aimed at ‘winning’ AI. Scott contends that portraying AI development as a high-stakes competition with clear winners and losers amplifies fears of being left behind or dominated, which could ultimately be counterproductive for long-term U.S. technology leadership. He posits that AI progress is more of a continuum rather than a finish line.
The article emphasizes the critical need for cross-sector and cross-cultural collaboration, coupled with sustained ethical reflection, to navigate the complexities of AI. Scott notes that while the space race stirred visions of scientific progress and planetary catastrophe, AI today evokes similar contradictions: promises of empowerment and abundance alongside warnings of surveillance, inequality, and existential risk. Both eras, he argues, demonstrate how technological ambition can amplify collective anxiety when global cooperation is sidelined by strategic rivalry.
Maxwell Scott, who serves as CTO of StratAlliance Global and has a background as a U.S. diplomat and in Microsoft’s Office of Responsible AI, stresses the importance of ensuring that the benefits of AI are widely shared and responsibly governed, particularly in low-resource and high-risk environments. He points to countries like India and Brazil, which have adopted national AI strategies emphasizing a more pluralistic approach to AI governance, rooted in regional priorities such as agriculture and healthcare.
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Ultimately, the Stimson Center’s analysis advocates for inclusive collaboration as the most promising path to better outcomes in AI. It warns that while dystopian futures may arise from unchecked competition, bias, and imbalanced power dynamics, the most beneficial advancements will stem from a collective commitment to ensuring AI serves the common good.
