Host Wenchi Yu speaks with former Google Taiwan HR head Vanessa Lu about how the AI race has three interconnected layers: infrastructure—chips, energy, data centers, and supply chains; models—the research and engineering talent behind AI systems; and products—the devices and markets that bring AI into everyday life. Vanessa recounts how Google chose Taiwan as its first data-center location in Asia more than a decade ago, drawn by the island’s dense technology ecosystem, strong ICT supply chain, fast and collaborative engineering culture, and ability to rapidly assemble the components needed to test and scale cloud infrastructure. Asia is the future of AI not only because it is home to roughly two-thirds of the world’s population, but because it combines young, technology-ready consumers, optimism toward AI adoption, deep manufacturing capabilities, expanding data-center capacity, and increasingly mobile global talent. Taiwan anchors advanced-chip manufacturing and hardware integration; India provides deep engineering talent and rapid infrastructure growth; Southeast Asia, particularly Malaysia and Thailand, offers scalable data-center development and receptive markets; while China adds exceptional scale, talent, and speed of adoption. The United States and Europe remain vital hubs for frontier research, but Asia’s full-stack ecosystem—from energy and chips to models, products, and users—will be central to determining how AI develops and who benefits from it. 00:00 — Introducing Vanessa Liu and AI’s hidden infrastructure story 01:30 — Inside Google Taiwan: HTC integration, COVID, and the AI boom 02:20 — The ChatGPT moment and tech’s new sense of urgency 05:00 — How Google responded: from leadership signals to company-wide action 06:30 — Why AI is more than models: infrastructure, computing, and supply chains 07:50 — The three layers of AI: infrastructure, models, and products 08:55 — Why Taiwan became central to AI infrastructure 09:40 — Why Google chose Taiwan for its first Asian data center 12:00 — Taiwan’s technology ecosystem and culture of rapid experimentation 12:40 — Google’s HTC integration and Taiwan’s rise as an R&D hub 15:00 — Taiwan, China, and the competition for hardware and talent 16:40 — Asia’s role in Google’s long-term AI strategy 17:00 — Why Asia is the future: population, youth, and AI optimism 19:00 — India, Malaysia, and Thailand: scaling data centers across Asia 20:30 — India’s engineering talent and AI-product development 21:30 — Asia as the market for AI products, devices, and adoption 22:40 — How Asia’s full-stack AI ecosystem compares with the U.S. and Europe 24:00 — Go-to-market investment: Japan, Singapore, Australia, and beyond 25:00 — China’s AI ecosystem: scale, talent, and consumer adoption 27:00 — Taiwan–China talent flows and new opportunities in AI 28:10 — Taiwan’s push to attract global technology talent 29:00 — The AI race beyond models: talent, infrastructure, partnerships, and products Perspectives with Wenchi Yu YouTube: https://youtube.com/playlist?list=PLkK1a7U8kP0TgXhvI5Bj70H4cPPlapCdQ&si=RuA_jZROR2ynRbxH Spotify: https://open.spotify.com/show/6kXiEF08IjtT3j1DyEnBbG?si=68ab3ea172594620 Apple: https://podcasts.apple.com/us/podcast/perspectives-with-wenchi-yu/id1793854395