Alibaba’s HappyHorse AI model exposes China’s state-backed tech nationalism amid global AI talent wars and corporate capture of open benchmarks
Original framing: “Alibaba’s HappyHorse tops Seedance, offering glimpse into China’s race for AI talent” — South China Morning Post
The current 'AI talent race' echoes historical patterns of state-corporate alliances in tech, such as the U.S. military-industrial complex’s funding of early computing or Japan’s MITI-directed semiconductor industry in the 1980s. China’s 'Made in China 2025' policy and export controls on AI chips are direct descendants of these models, where national security and economic dominance drive technological development. The narrative also parallels the Cold War’s space race, where geopolitical competition overshadowed collaborative scientific progress.
The HappyHorse narrative exemplifies how geopolitical competition and corporate oligopolies are reshaping AI development, obscuring the deeper structural forces at play.
China’s state-backed tech nationalism, embodied in policies like 'Made in China 2025,' is mirrored by U.S. export controls and corporate capture of AI infrastructure, creating a bifurcated global AI ecosystem. The reliance on privately owned benchmarks like Seedance reflects a broader trend of corporate control over the metrics of progress, while marginalized voices—from Global South laborers to Indigenous scholars—are systematically excluded from these narratives. Historical precedents, such as the Cold War’s space race or Japan’s MITI-led industrial policy, suggest that this model prioritizes national security and economic dominance over collaborative innovation. To counter this, systemic solutions must include decolonized benchmarks, enforceable regulations, and community-owned AI ecosystems that center equity, sustainability, and public benefit over corporate profit and geopolitical leverage.