Many countries are currently locked in a high-stakes race to build sovereign AI stacks, pouring billions into compute, foundational models, and chips. In a new piece published by The Brookings Institution, Taiyo.AI's CEO Dr. Saurabh Mishra and Cameron Kerry argue that "AI for the sake of AI" is a strategic dead end.
The article, "What National AI Plans Get Wrong — and How to Fix Them," suggests that the real value of AI is unlocked only when it is embedded into the real economy: industries, services, infrastructure, and institutions.
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The authors challenge the prevailing "one-size-fits-all" approach to national AI planning. Instead of chasing a generic technology race, countries should ask a simpler, more powerful question: what do we already do well, and how can AI strengthen it?
Read next The Myth of the Monolith: Why AI is a Mosaic, Not a Single TechnologyThe answer points toward three interconnected pillars. Grounded Productivity means starting from existing economic strengths — whether in manufacturing, agriculture, or logistics — and using AI to improve safety, quality, and output in those specific sectors. The Progression Path means moving into adjacent, higher-value activities that build on the same core capabilities, rather than attempting to leapfrog into disconnected tech sectors. And Cognitive Infrastructure means shifting focus from raw compute to the systems, data, and expertise that allow an entire economy to learn and adapt over time.
Building for Long-Term Growth
When AI is treated as a component of Cognitive Infrastructure, it ceases to be an abstract technology race and becomes a tangible tool for national growth. This approach requires a shift in mindset for policymakers: moving away from building "sovereign clouds" and toward building the data ecosystems and institutional routines that allow local industries to thrive.
At Taiyo.AI, this philosophy is central to our mission. By providing the grounded data and vertical intelligence needed for infrastructure and real assets, we help turn national strategies into real-world operational success.
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