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AI's $1.3 Trillion Future Increasingly Hinges on Taiwan
When Jung Yoonseok was looking for an assembly partner for his AI chip startup, he had his pick of almost any country in Asia, including his native South Korea. Instead, the Rebellions strategy chief opted for Taiwan because of what he sees as an unparalleled combination of talent, cost and
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AI's $1.3 trillion future increasingly hinges on Taiwan
When Jung Yoonseok was looking for an assembly partner for his artificial intelligence chip startup, he had his pick of almost any location in Asia, including his native South Korea. Instead, the Rebellions strategy chief opted for Taiwan because of what he sees as an unparalleled combination of
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AI's $1.3 trillion future increasingly hinges on Taiwan
By Jane Lanhee Lee and Vlad Savov, Bloomberg News The Tribune Content Agency When Jung Yoonseok was looking for an assembly partner for his AI chip startup, he had his pick of almost any country in Asia, including his native South Korea. Instead, the Rebellions strategy chief opted for Taiwan
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Taiwan emerges as a key player in the global AI industry, attracting major tech companies and startups due to its unparalleled combination of talent, cost-effectiveness, and speed in manufacturing AI-related hardware.

In a rapidly evolving technological landscape, Taiwan has emerged as a crucial player in the artificial intelligence (AI) industry. The island nation is increasingly becoming the go-to destination for AI chip manufacturing and hardware assembly, attracting major tech giants and startups alike
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.Jung Yoonseok, strategy chief of AI chip startup Rebellions, chose Taiwan over other Asian countries, including his native South Korea, for its unique blend of advantages. "Taiwan is small, and Taipei is small, and in that small area everything moves super fast," Jung explained, highlighting the efficiency that makes Taiwan attractive to AI innovators
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.From industry leaders like Nvidia Corp. and Microsoft Corp. to AI pioneers like OpenAI, global AI frontrunners are increasingly relying on Taiwanese companies for chip fabrication, server building, and device cooling solutions. This trend has propelled Taiwan's stock market to become the hottest major bourse in Asia over the past year, led by Taiwan Semiconductor Manufacturing Co. (TSMC) and Hon Hai Precision Industry Co.
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.TSMC's dominance in the chip industry is a cornerstone of Taiwan's AI prowess. As competitors like Intel Corp. and Samsung Electronics Co. struggle to keep pace, TSMC has extended its leadership by manufacturing virtually all of the world's most advanced semiconductors. This makes it the sole provider for critical components like Nvidia's AI accelerators
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.Taiwan's AI ecosystem extends beyond TSMC, encompassing a range of essential companies:
These firms, among others, are poised to play a significant role in an AI market projected to reach $1.3 trillion by 2032
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Taiwan's journey to becoming an AI powerhouse began in the 1980s when Japanese companies started outsourcing low-end manufacturing to the island. Over time, Taiwanese companies evolved into sophisticated manufacturers, always keeping their most advanced techniques at home
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.Taiwan's growing importance in the AI industry comes with geopolitical implications. As tensions between the U.S. and China rise, some AI companies have been dissuaded from producing hardware in mainland China. This shift has further elevated Taiwan's status, potentially making it more alluring to Beijing, which considers Taiwan a breakaway province
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.One of Taiwan's key strengths is its service-focused approach. Companies like AVC have gone to great lengths to secure partnerships with global tech giants. AVC Chairman Shen Ching Hang, for instance, set up an office across from Amazon's Seattle headquarters in 2014, persistently offering services until securing a partnership three years later
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.As the AI industry continues to grow, with global spending on AI systems and services expected to more than double to $632 billion by 2028, Taiwan's role as the "engine driving AI" is likely to become even more critical in shaping the future of artificial intelligence technology
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12 Feb 2026•Business and Economy

07 May 2026•Business and Economy
19 May 2025•Technology
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