Why LLM Breakthroughs Are About to Transform Farming | AgEmerge Podcast 196 with Colin Hurd
AI is about to change farming in a way most people are not ready for. Colin Hurd explains how LLM-powered agents could become the “brain” behind a tractor—learning, remembering, adapting, and even fixing issues as they go.
Colin breaks down why the last 12 months of model progress matter so much for agriculture, and why this shift is already starting. The big idea is bigger than automation: it’s about building machines that can think through problems in real time, understand their environment, and improve without constant human intervention.
Watch the full episode: https://www.youtube.com/watch?v=pGh_xGNAclA
The next breakthrough in ag tech is a physical AI layer that can learn, adapt, and make farms dramatically more efficient without forcing every grower to become a robotics expert. Colin Hurd returns to the AgEmerge Podcast with a behind-the-scenes look at where ag autonomy really stands now, why retrofit solutions are only part of the story, and what has to change before self-driving machines become truly useful in the field.
From dusty harvest conditions that break today’s sensors to the opportunity for AI systems to preserve hard-earned farming knowledge, this conversation gets into the real bottlenecks - and the real upside - of the next five years.
Colin has devoted his career to leading innovative companies in the machinery industry. In 2016, Colin founded his second company, Smart Ag, which developed the first retrofit driverless system to automate tractors. After funding and growing the company, he led Smart Ag successfully through an exit to Raven Industries (NYSE:RAVN) in 2019. Raven was then acquired by CNH Industrial in 2021 (NYSE:CNHI). Colin stayed with Raven and managed business development until forming Mach in 2022.
Learn about Mach: https://mach.io/about-us/
