Himanshu Gupta on AI for climate-resilient food systems
Harvard Business School — Climate Rising
In this Climate Rising interview, Himanshu Gupta explains how ClimateAi connects climate forecasting to practical adaptation decisions in food and agriculture. He grounds the work in personal experience, seed-industry use cases, AI-enabled forecasting, and government work.
What he said
What personal experience does Gupta connect to climate resilience?
Gupta points to a personal memory of water access — the lived detail of walking with his family to fetch water from a nearby river.
“And I still remember walking like half a mile to a mile with my family to fetch water from a nearby river.”Listen at 05:21
What makes a climate forecast useful for action?
Gupta frames usefulness around whether the information makes action possible. The quoted test is simple: does it make the risk more actionable?
“But if you tell me that, that makes it a bit more actionable for me to take action.”Listen at 12:00
How does ClimateAi connect with the seed industry?
Gupta says ClimateAi works with the crop seed industry. The quoted scope is the only scale claim made here.
“So we work with 30% of the crop seed industry.”Listen at 15:24
What is the adaptation playbook?
Gupta describes the adaptation playbook as a set of resilience-building decisions. In the quote, those decisions apply both to the current season and to longer-term resilience.
“And the third is, we call it the adaptation playbook, which is the sets of decisions that these regime makers can make to build resilience from an operational standpoint, you know, for this season, but also build resilience from a long-term standpoint.”Listen at 18:23
How does Gupta describe the AI behind the forecast?
Gupta describes the forecast model as a machine learning algorithm. His phrase for what it taps is the long-term memory of Earth's climate.
“And there we have a machine learning algorithm that basically taps into the long-term memory of Earth's climate.”Listen at 21:16
Does the work extend to government customers?
Gupta says the company is selling to government customers. The quoted example he gives is DOD in the US.
“We are selling to governments like DOD in the US.”Listen at 14:58
Key takeaways
- Gupta connects the work to a personal memory of fetching water with his family.
- He frames useful climate forecasting around whether it makes action more possible.
- He describes an adaptation playbook for operational and longer-term resilience decisions.
- He says the AI taps into the long-term memory of Earth's climate.
- He says ClimateAi works with the crop seed industry and government customers.