By Hsiao-Chen Lin
With its semiconductor leadership, an open economy, and pluralistic partnerships, Taiwan shows that the international community can uphold their One China policies while refusing to validate Beijing’s expansionist interpretation.
Technology Policy
By Andreas Kuehn and Tara Chawla
The AI buildout is not simply a race for more advanced accelerators, but an infrastructure-centered contest to turn technology, energy, and capital into usable computing capacity. The decisive measure will not be announced spending or planned capacity, but how quickly those commitments become reliable, operational computing capacity.
ORF Global Quarterly V1, Technology Policy, Energy & Climate
By Sauradeep Bag
The central question is no longer whether sovereign digital money will emerge but what institutional form it will take, who will govern it, and whose economic interests it will serve.
ORF Global Quarterly V1, Technology Policy, Energy & Climate
By Prateek Tripathi
Though the field of quantum computing is not mature enough to provide remarkable practical applications at the moment, recent developments serve to exemplify the asymmetric nature of quantum technology development and how multiple incremental advancements can potentially lead to overall progress.
ORF Global Quarterly V1, Technology Policy, Energy & Climate
By Amoha Basrur and Pranoy Jainendran
With applications already spanning the automotive, aerospace, and data-centre sectors, spintronics has become a strategic priority for countries with the manufacturing capacity to compete for it, driving targeted R&D funding, national roadmaps, and industry partnerships aimed at securing technological leadership and supply chain resilience.
ORF Global Quarterly V1, Technology Policy, Energy & Climate
By Siddharth Yadav
Global corporate AI investment reached US$581.7 billion in 2025, more than double the previous year’s total, with most of it flowing to the economies that already dominate research and hardware. Economies with nascent domestic digital infrastructure, investment vehicles, research ecosystems, and governance frameworks risk being marginalized by the AI-driven future.
