As the world rushes to regulate and implement AI, a fundamental misunderstanding persists: the idea that artificial intelligence is a single, monolithic technology. In a new analysis published by The Brookings Institution, Taiyo.AI CEO Dr. Saurabh Mishra and Cameron Kerry challenge this narrative, proposing instead that policymakers, countries, and companies treat AI as a "mosaic" of distinct intelligences — each with its own risks, requirements, and opportunities.
Read next Moving Beyond the Tech Race: What National AI Strategies Get WrongThe article, "The Myth of the Monolith: AI Is Not One Thing," is a call for strategic clarity at a moment when too many decisions are being made on false assumptions.
Beyond Large Language Models
Large Language Models dominate the public conversation right now — but AI encompasses a vast array of sub-types, including vision, robotics, reasoning, spatial modelling, and more. Each domain carries its own unique risks, affordances, and infrastructure requirements. Collapsing them into a single category produces bad policy and poor strategy.
The research makes three shifts in perspective that we believe are genuinely important. The first is granular regulation: because AI is not one thing, regulatory frameworks must be domain-aware and grounded in the specific risks of each AI sub-type rather than applied uniformly. The second is the portfolio strategy: for companies and nations, success is not about winning a race for the biggest model but about building a portfolio of approaches tailored to specific industrial or social needs. The third is AI sovereignty — understanding the diversity of AI is essential for countries seeking to build trustworthy systems that reflect their own values and economic goals.
Leading the Conversation on Trust and Reliability
This collaboration with Brookings Governance Studies' TechTank reflects something we care about deeply: the belief that grounded, evidence-based thinking about AI is more valuable than hype in either direction. By contributing the data and domain expertise that power these insights, Taiyo.AI helps move the industry toward a more nuanced and actionable understanding of how technology intersects with policy. The "mosaic" framing is one we carry into our own work every day — making sure the right intelligence is applied to the right problem, not assuming one tool solves everything.
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