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Taiwan launches $3.2b fund to train 500,000 AI talents by 2040
Taiwan President Lai Ching-te has announced a plan to train 500,000 AI professionals by 2040 and set aside NT$100 billion (US$3.2 billion) for a venture capital fund to support this effort.
Speaking at the 2026 AI talent forum in Taipei, Lai said the initiative is part of new 10-year AI development initiatives unveiled in 2025.
The initiatives include creating a national computing center and advancing technologies such as silicon photonics, quantum computing, and robotics.
The government will roll out AI training courses for the public sector, encouraging civil servants and students to acquire AI skills.
🔗 Source: Focus Taiwan
🧠 Food for thought
Implications, context, and why it matters.
Why Taiwan’s AI training plan faces uphill execution challenges
- The plan to train 500,000 AI professionals by 2040 equals about 2% of the population. The government has not defined curriculum standards, certification paths, or how it will track skills rather than course completion.
- An NT$100 billion (about US$31.6 billion) venture fund has no public details on structure or deployment. Officials have not named managers, set timelines, or listed startup eligibility. Co-investment rules also remain unclear, so money may stall in bureaucracy instead of reaching AI firms.
- Chipmaking is a strength, with local fabs producing about 90% of the world’s most advanced chips 1. AI talent pipelines trail the U.S. and China, so a 15-year goal looks tough unless pay gaps plus brain drain get addressed.
Edtech and enterprise AI firms can tap government demand for public sector upgrades
- New AI courses for civil servants and students open near-term procurement. Educational technology (edtech) platforms, cloud providers, plus consulting firms can bid to deliver standard curriculum plus change programs across agencies.
- Digital upgrade plans for small and medium-sized enterprises (SMEs) suggest subsidies for enterprise software and AI tools. Business-to-business Software-as-a-Service (B2B SaaS) vendors can tailor products for manufacturing and services that want gains from automation or data analytics.
- Edtech, cloud, plus enterprise AI vendors with proven case studies in upskilling public workers or modernizing SMEs can win longer contracts as programs scale nationwide over the next decade.
