To mitigate its own risk, Apple's "50% rule" required suppliers to find other customers. This policy forced them to share advanced manufacturing processes co-developed with Apple, directly enabling the rise of Chinese smartphone rivals like Xiaomi and Huawei.
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OpenAI embraces the 'platform paradox' by selling API access to startups that compete directly with its own apps like ChatGPT. The strategy is to foster a broad ecosystem, believing that enabling competitors is necessary to avoid losing the platform race entirely.
From China's perspective, producing more than it needs and exporting at cutthroat prices is a strategic tool, not an economic problem. This form of industrial warfare is designed to weaken other nations' manufacturing bases, prioritizing geopolitical goals over profit.
Intense competition forces companies to innovate their products and marketing more aggressively. This rivalry validates the market's potential, accelerates its growth, and ultimately benefits the entire ecosystem and its customers, rather than being a purely zero-sum game.
China offers a hyper-concentrated manufacturing ecosystem where suppliers are neighbors, supported by world-class infrastructure. This dramatically speeds up prototyping and production, turning complex international logistics into a simple "walk down the street."
Apple's deep reliance on China is not just about cost but a 25-year investment in a manufacturing ecosystem that can produce complex products at immense scale and quality. Replicating this unique combination in India or elsewhere is considered fanciful.
High customer concentration risk is mitigated during hypergrowth phases. When customers are focused on speed and market capture, they prioritize effectiveness over efficiency. This provides a window for suppliers to extract high margins, as customers don't have the time or focus to optimize costs or build in-house alternatives.
China is pursuing a low-cost, open-source AI model, similar to Android's market strategy. This contrasts with the US's expensive, high-performance "iPhone" approach. This accessibility and cost-effectiveness could allow Chinese AI to dominate the global market, especially in developing nations.
The real long-term threat to NVIDIA's dominance may not be a known competitor but a black swan: Huawei. Leveraging non-public lithography and massive state investment, Huawei could surprise the market within 2-3 years by producing high-volume, low-cost, specialized AI chips, fundamentally altering the competitive landscape.
The choice between open and closed-source AI is not just technical but strategic. For startups, feeding proprietary data to a closed-source provider like OpenAI, which competes across many verticals, creates long-term risk. Open-source models offer "strategic autonomy" and prevent dependency on a potential future rival.
Contrary to their intent, U.S. export controls on AI chips have backfired. Instead of crippling China's AI development, the restrictions provided the necessary incentive for China to aggressively invest in and accelerate its own semiconductor industry, potentially eroding the U.S.'s long-term competitive advantage.
