Saurabh Mishra helped create the Stanford Institute for Human-Centered Artificial Intelligence AI Index — and his institutional footprint extends well beyond it. His career spans the World Bank, the IMF, the Bank for International Settlements, the Brookings Institution, the OECD’s Network of Experts on AI, and Sciences Po. He is, by any measure, someone who has spent two decades at the intersection of AI policy, international finance, and infrastructure intelligence at the highest global levels.
He reached out to me.
What followed was not a pitch — it was a conversation in which the core logic behind Hansen’s models surfaced naturally, and his reaction was immediate: “This is enticing. Brilliant.”
But more telling was what he followed with — “You have a better idea of what I’m doing than I do.”
That matters, because Saurabh wasn’t responding to a pitch. He initiated the conversation — and within twenty minutes, the same truth surfaced that MIT, McKinsey, and Stanford HAI have each arrived at independently: the constraint is never the technology alone. It is the conditions, logic, and cross-boundary realities the technology has to operate within.
The conversation moved beyond AI as a tool and toward AI as an operating system shaped by real-world conditions. When I reframed his platform not as another procurement tool but as an operating system, he acknowledged there was “a bigger story here” and that I had “the pulse on the right part.”
In other words, even at that level of institutional exposure, the same truth surfaced: outcomes are determined by the logic and conditions the technology operates within — not by the technology itself.
That is exactly where Hansen Models™, RAM 2025™, and Phase 0™ sit.
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Procurement Insights 
What a Former Stanford HAI AI Index Leader Had to Say About Hansen’s Models
Posted on April 6, 2026
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Saurabh Mishra helped create the Stanford Institute for Human-Centered Artificial Intelligence AI Index — and his institutional footprint extends well beyond it. His career spans the World Bank, the IMF, the Bank for International Settlements, the Brookings Institution, the OECD’s Network of Experts on AI, and Sciences Po. He is, by any measure, someone who has spent two decades at the intersection of AI policy, international finance, and infrastructure intelligence at the highest global levels.
He reached out to me.
What followed was not a pitch — it was a conversation in which the core logic behind Hansen’s models surfaced naturally, and his reaction was immediate: “This is enticing. Brilliant.”
But more telling was what he followed with — “You have a better idea of what I’m doing than I do.”
That matters, because Saurabh wasn’t responding to a pitch. He initiated the conversation — and within twenty minutes, the same truth surfaced that MIT, McKinsey, and Stanford HAI have each arrived at independently: the constraint is never the technology alone. It is the conditions, logic, and cross-boundary realities the technology has to operate within.
The conversation moved beyond AI as a tool and toward AI as an operating system shaped by real-world conditions. When I reframed his platform not as another procurement tool but as an operating system, he acknowledged there was “a bigger story here” and that I had “the pulse on the right part.”
In other words, even at that level of institutional exposure, the same truth surfaced: outcomes are determined by the logic and conditions the technology operates within — not by the technology itself.
That is exactly where Hansen Models™, RAM 2025™, and Phase 0™ sit.
-30-
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