Today’s episode examines three questions shaping the next phase of Taiwan’s tech future, from advanced process IP to energy security to the trillion-dollar AI investment curve.
Q1: Why is Taiwan treating the TSMC investigation as a national security moment
A former senior VP for corporate strategy at TSMC, Lo Wei jen, is under investigation after allegedly removing restricted documents tied to the 2 nanometer node and the upcoming A16 and A14 roadmaps for 2026 and 2028. Focus Taiwan reports he took more than 80 boxes of materials before returning to Intel after 21 years at TSMC. Prosecutors and the Ministry of Economic Affairs are evaluating potential violations of national security law.
This case underscores the vulnerability of advanced node IP at a time when months of advantage translate into global market power. The concern is not only commercial. It is geopolitical. Taiwan’s process leadership is the anchor of the global AI hardware economy, and this incident shows how fragile that moat can be when talent mobility collides with strategic technology.
Q2: What is the largest constraint on Taiwan’s AI ambitions according to industry leaders
Former Intel CEO Pat Gelsinger delivered a stark warning in Taipei. As reported by the Taipei Times, he stated that Taiwan is not in a position to secure a resilient energy supply chain and that energy reliability is the single biggest obstacle to AI growth. Semiconductor manufacturing already consumes about 10 percent of Taiwan’s electricity according to DIGITIMES Asia.
Gelsinger noted that this energy ceiling is the reason the AI boom is not a classic bubble. Cloud companies cannot deploy infrastructure faster than the grid can support it. He also pointed to new technologies like xLight’s EUV alternative, which aims to double lithography productivity while cutting power use. These innovations highlight both the urgency and opportunity of Taiwan’s next wave of industrial upgrades.
Q3: Is the global AI boom a sustainable cycle or a bubble with structural limits
Google CEO Sundar Pichai told the BBC that AI investment contains irrational elements, even as he argues the underlying shift is profound. Google has tripled its annual infrastructure spending from 30 billion dollars to more than 90 billion dollars, with industry-wide investment surpassing the trillion-dollar mark.
Real-world ripple effects are already emerging. Reuters cites Counterpoint Research reporting that Nvidia plans to shift server memory from DDR5 to LPDDR to reduce energy consumption. This change will tighten supply across memory categories and push server memory prices up, with forecasts of potential doubling by late 2026. These shifts illustrate the physical constraints and supply chain interdependencies that shape whether AI growth accelerates or stalls.
Q4: How is Taiwan responding as global competition intensifies
Taiwan News reports that the government has launched a NT 100 billion program, approximately 3.2 billion US dollars, to position the island as a global AI hub. The investment aims to generate NT 15 trillion in economic value by 2040 and includes new research centers in silicon photonics and quantum computing, along with a national AI computing facility.
Yet the same energy bottleneck that Gelsinger highlighted remains the pivotal variable. Taiwan is committing to an AI industrial future, but the scale of its ambition demands energy resilience that has not yet been secured.
Listen to the full episode
Inside Taiwan unpacks what these tensions reveal about the next decade of semiconductor leadership and the realities shaping the global AI economy.
【About the Show】Inside Taiwan distills 200 stories a day from over 30 trusted Traditional Chinese and English sources into a ten minute executive briefing. It is an AI powered signal over noise for global investors and decision makers navigating the world’s most valuable supply chain.