China’s AI adoption outpaces US but valuation bubbles mask systemic fragility in global tech race
Original framing: “China leads US in everyday AI apps but firms are overvalued, experts say” — South China Morning Post
Scenario modeling suggests a bifurcated AI future: one where China dominates accessible, state-aligned apps, and another where the US retains compute power but faces regulatory fragmentation. A third path—decentralized, community-owned AI—could emerge from Global South innovations, but requires investment in open-source infrastructure and data trusts. The risk of a 'splinternet' AI ecosystem could exacerbate geopolitical tensions, particularly in regions like Africa where both US and Chinese firms vie for influence.
The narrative of China’s AI lead versus US valuation risks frames a false dichotomy between accessibility and profitability, obscuring how both models serve extractive capitalism while marginalizing Global South innovations.
Historically, tech booms have collapsed when speculative value outpaces real-world utility—Japan’s 1980s semiconductor bubble and the 2000 dot-com crash are cautionary tales. Yet the current AI race repeats these patterns, with China’s state-backed accessibility and US venture capital’s hype economy both prioritizing control over care. Indigenous and marginalized voices reveal a third path: AI as a tool for ecological and social repair, not just market dominance. The solution lies in dismantling the valuation bubble through public data commons, algorithmic transparency, and decentralized infrastructure—shifting the focus from 'who leads' to 'who benefits.' This requires redefining AI governance not as a geopolitical chess game but as a collaborative project for planetary flourishing.