Artificial intelligence is entering a new phase in which inference, rather than training, is becoming the dominant driver of computing demand, as rising costs and memory constraints begin to reshape AI infrastructure, according to researchers.

Taiwan is advancing efforts to build sovereign artificial intelligence (AI) capabilities, even as power supply and data readiness emerge as key constraints across the AI infrastructure stack.

Driven by a wave of massive technological investments and strategic corporate partnerships, Taipei City is rapidly transforming into a premier global hub for Artificial Intelligence. Speaking at the highly anticipated AI Expo Taiwan 2026, Taipei Mayor Wan-an Chiang outlined a comprehensive vision for the city's economic and structural future, highlighted by landmark commitments from industry titans such as Nvidia, Google, and key domestic supply chain players like Wistron.

While the world's attention often fixates solely on TSMC as the singular pulse of global technology, Colley Hwang, Chairman and founder of DIGITIMES, presented a much more formidable reality today at the opening of AI Expo Taiwan: a US$3 trillion electronic ecosystem that has become the indispensable backbone of the AI revolution.

Quantum computing is shifting from isolated experiments toward hybrid architectures integrated with high-performance computing and artificial intelligence (AI), speakers said on March 25 at the AI Expo Taiwan 2026, as the industry looks to position quantum systems as components within data center infrastructure rather than standalone research platforms.