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Taiwan Pledges NT$40 Billion to Train 500,000 AI Specialists by 2040

By Wei ZhangTaiwan
1 min read
Taiwan Pledges NT$40 Billion to Train 500,000 AI Specialists by 2040
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Taiwan will allocate more than NT$40 billion (US$1.26 billion) next year across 10 major artificial intelligence projects to train 500,000 technical specialists by 2040.

President William Lai confirmed the funding commitment in Taipei, tying the long-term headcount target to the government’s newly established AI Talent Ark Project. The program combines basic technical schooling, professional upskilling, and data-driven instruction to supply engineering talent to domestic hardware and software sectors.

Building Domestic GPU Capacity

Alongside the training quota, the Ministry of Digital Affairs is targeting the installation of at least 10,000 graphics processing units across local data centers within 12 months. The compute capacity will be developed through private investment under a build-own-operate framework.

Minister of Digital Affairs Lin Yi-ching designated domestic AI computing facilities as public infrastructure eligible for private capital. The policy requires data centers to operate under Taiwanese legal jurisdiction so that commercial models remain compliant with local data governance standards.

The ministry is also assembling a sovereign AI training corpus by opening state datasets to domestic and foreign developers. The goal is to build base models capable of handling Taiwanese language variants and local commercial contexts without relying entirely on offshore platforms.

Sovereignty and Network Resilience

Taiwan’s push mirrors parallel infrastructure plays across East Asia, where governments in Tokyo and Seoul are funding domestic compute clusters and localized foundation models to avoid complete reliance on US cloud hyperscalers. For technology hardware makers and enterprise software vendors operating in the region, the plan secures subsidized access to local high-performance compute capacity and a steady supply of specialized engineers.

Network resilience forms the secondary layer of the digital sovereignty push. Lin noted that low-Earth-orbit satellite systems remain an active priority to safeguard data traffic against potential disruptions to undersea telecommunications cables.

The digital ministry will roll out the private investment terms for the build-own-operate compute centers later this fiscal year, with the first 10,000 GPU deployments expected on line before late 2027.

Questions & Answers

Q.

What is the primary goal of the NT$40 billion investment in artificial intelligence?

A.

The investment aims to train 500,000 technical specialists in artificial intelligence by 2040. This is part of the government’s AI Talent Ark Project, combining schooling, upskilling, and data-driven instruction for hardware and software sectors.

Q.

How will Taiwan develop its domestic computing infrastructure for artificial intelligence?

A.

The Ministry of Digital Affairs is targeting 10,000 graphics processing units in local data centers within 12 months. This will be developed through private investment under a build-own-operate framework, with facilities operating under Taiwanese legal jurisdiction.

Q.

Why is Taiwan focusing on building its own AI models and infrastructure?

A.

Taiwan aims to build base models capable of handling local language and commercial contexts, reducing reliance on offshore platforms. This push for digital sovereignty also mirrors efforts in East Asia to avoid complete reliance on US cloud hyperscalers.

Q.

When can we expect the first new graphics processing units to be operational in local data centers?

A.

The Ministry of Digital Affairs will roll out private investment terms later this fiscal year. The first 10,000 GPU deployments are expected to be online before late 2027.

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