Editor’s Note: Tim Bucher is the CEO and co-founder of Agtonomya physics AI company that partners with leading equipment manufacturers to integrate its technology at the factory level, transforming off-road machines into intelligent, autonomous solutions for agriculture, land care and other industrial markets.
Dr. M. Brett McMickell is Chief Technology Officer for Kubota North Americawhere he leads the company’s technology strategy and innovation portfolio across automation, AI and smart agriculture solutions.
The opinions expressed in this article are those of the author and do not necessarily represent those of AgFunderNews.
In American agriculture today, and especially in specialty crops, discussions about AI are not about gimmicks and hype. It’s about whether family farms and rural communities can survive. Labor shortages, affordability, and pressure on medium- and large-scale farms are forcing producers to ask themselves a difficult question: “Will this farm support another generation?”
While the hype around AI in other sectors has sparked fears of job losses, inside farms the reality is very different.
Physical AI is one of the few levers that actually gives producers a path forward. It creates a human-led, AI-powered workforce, helps make operations economical again, and enables the next generation to build a profitable, sustainable business on the same land. Automation aims to keep these producers in business, not replace them.
Producers need tools that allow them to redeploy the workforce they have toward safer, higher value-added roles. Physical AI allows a single operator to supervise multiple machines and opens the doors to:
- Young, tech-savvy drivers, often in their 20s, who may not have grown up riding tractors but are now operating autonomous equipment with a level of intuitive control worthy of a “video game.”
- Existing employees in the community who can upgrade their skills to higher paying, higher quality jobs to manage and maintain these systems.
- The next generation of 4‑H and FFA who want to stay in agriculture and apply their high-tech skills to the operations they know and love.
Automation adoption is here
The good news is that adoption is at a turning point. The technological maturity levels are there and the cost of key components has fallen enough that physical AI is no longer a scientific project; it is a practical tool for real operations.
For example, we are working to extend autonomy to proven platforms such as the Agtonomy-enabled Kubota M5 Narrow diesel specialty tractor, rather than forcing producers to use completely new, unproven machines. Producers already know how to use and maintain the M5. The addition of Agtonomy’s physical AI stack makes it a stand-alone work tool without disrupting everything else.
Just as important, we’re committed to creating interfaces that look like the smartphones producers already use every day, not engineering consoles. If we want producers to adopt this technology, we need to meet them where they are and stop making them feel like they have to code APIs just to make their equipment work together.
Why Dealers Are the Missing Link in the Agricultural Automation Systems Revolution
Dealers are not just distributors at the end of the pipeline; it is the systems integrators and strategic partners that will make or break producer adoption.
The industry has collectively spent years perfecting technology, reducing costs, and proving automation in the field. But we have not invested enough in preparing the dealer network and broader ecosystem that must sell, finance, support and operate these systems for the long term.
The real bottleneck is no longer whether autonomy works; it’s about whether the string is prepared. When we talk about a “systems” approach to automation, we mean design focused on workflows, availability, support and lifecycle economics. Dealers are at the center of it all.
Kubota achieved this by investing in programs like Kubota Engine and Technology Academya training program that introduces a modern, high-quality curriculum into vocational schools and dealer networks. OEM-supported programs like these combine online education with hands-on experience to strengthen basic skills in mechanics, electrical systems, diagnostics and motors.
As equipment continues to evolve—with more sensors, electronics, and software layered on top of proven platforms—these solid technical foundations will be essential to supporting the next generation of machines, including more automated and connected systems.
On the producer side, we advocate moving from a single technology mentality to a workflow mentality. An autonomous tractor by itself is not very useful. Value comes from end-to-end workflows (spraying, mowing, tilling) that integrate autonomy, tools, data and decision-making. This requires people working together within companies with dealers in the middle as trusted integrators.
To realize this system-wide vision, we need two things that we still lack: true interoperability between OEMs and concrete training for everyone who must do this work every day.
Solving interoperability to deliver a complete view of agricultural automation
This requires even more open collaboration and concrete education. This means working with partners to combine strengths, rather than trying to build everything in-house. In practice, this means supporting systems and technologies that can operate side by side on the farm, allowing mixed fleets to operate together rather than as disconnected elements.
We are already seeing how a systems approach is coming to life on the ground. Demo days and field events show growers, regulators and partners exactly how autonomous and conventional equipment work together in real vineyards, orchards and fields. Dealer and technician training then builds the confidence and capabilities local dealers need to responsibly support these rigs, while youth grower outreach, 4-H, FFA and similar programs, coupled with welding, shop and mechanical training, help develop the next generation of dealer operators and technicians who will service increasingly advanced equipment over time.
Ultimately, it’s not about selling more robots and AI. It is a vision to restore vibrant rural communities, multi-generational family farms, and a strong specialty crops sector to the United States.
Physical AI and automation are essential tools to preserve this future and create better lives for rural communities. If we as an industry rely on open collaboration, invest in dealer and workforce preparation, and meet producers where they are, automation will not be a disruption. This will improve the success of American agriculture and ensure that the next generation wants to be a part of it.