Feeding Intelligence: AI Meets the Farm

Agriculture is where AI confronts physical reality — soil variability, unpredictable weather, aging equipment, thin margins, and labour markets that don't respond to software updates. The farm cannot be A/B tested. It cannot be rolled back. The consequences of failure are measured in seasons, not sprints.

That makes farming the most honest test of what AI can and cannot optimize. And it makes the lessons from agricultural AI adoption directly applicable to every other domain where the gap between a demo and a deployment is measured in stakes.

Jesse Hirsh farms. He also analyzes technology for a living. This talk uses that combination to cut through AI hype and show what resilient, grounded automation actually looks like when it has to work in the mud.

Who this is for

Agricultural technology companies, farming associations, rural policymakers, agri-food sector leaders, and general business audiences who want an AI literacy session grounded in physical reality rather than Silicon Valley optimism.

Audience takeaways

• Where AI is delivering genuine, measurable value in agriculture — and where the case studies are misleading
• The specific failure modes of AI when deployed into complex, physical, variable environments
• What the agricultural sector's experience with precision technology teaches about AI adoption more broadly
• How to evaluate AI vendor claims before committing to a deployment
• What resilient automation looks like when it has to work at the scale and pace of a farming operation

Sample titles

• Feeding Intelligence: AI Meets the Farm
• Reality Check: What Agriculture Teaches Us About AI
• In the Mud: AI Adoption Lessons from the Farm

Best formats

Keynote; panel discussion for agri-food and agricultural technology audiences; fireside conversation with Q&A.