From Iron to Intelligence: What AI Really Means for the Equipment Industry
by Jeremy Groeteke, Senior Global Leader at Syngenta and speaker at the 2026 Supply Summit & Showcase
When I spoke at the FEMA Supply Summit, I opened with the original “See & Spray” — a young entrepreneur with a shortliner Bean Buggy, deciding plant by plant what needed attention. What’s old is new again. The difference today is that the intelligence we once carried in our own heads is moving into the iron itself.
I’ve spent 25 years at the intersection of agriculture and technology — as a farmer, agronomist, scientist, and now a technologist. From every one of those seats, the same conclusion holds: agriculture is naturally AI-compatible. AI thrives in complex, uncertain, data-rich environments, and there are few environments more complex than a field. What has changed is that you no longer need to know how to perform a task yourself in order to automate it. AI lets us automate the indescribable — and that puts entirely new targets on the table for the machines you build.
Consider the scale. The U.S. plants roughly 90 million acres of corn a year — about 2.9 trillion plants. A single petaflop of compute could analyze that entire crop 370 times every second. As I discussed the compute capacity as gone from one microscopic cell to one stalk, took about 60 years of compute science; to go from that single stalk to compute capable of “replanting” America’s entire corn crop 1,700 times took us about 13. The curve isn’t just steep. It’s accelerating, and the slope is the point.
Here’s what equipment makers need to internalize. The Internet changed distribution. The cloud changed scalability. AI brings automated intelligence directly into our products. The merger of iron and AI — robotics, new sensors, computer vision, and large language models working together — is no longer a lab demo. It’s becoming the spec sheet. The machine that perceives, decides, and acts in the row is the machine our customers will increasingly expect.
The industry already feels it. In recent research, 91% of agricultural leaders said AI is moderately to very important for staying competitive — ahead of traditional levers like capital and operational excellence. They expect yield gains, better margins, and sharper decisions. But the most cited barrier is unproven ROI, and nearly 80% believe AI’s impact will come down to quality of execution, not the technology alone. That tension is the whole story: the same leaders who see AI as their biggest opportunity also name it as their biggest risk.
So where should we focus? My advice is to treat efficiency as the entry point, not the prize. Trimming cost with a smarter sprayer or an automated parts lookup is real, but the durable value is in growth — new products, new services, and business models that didn’t exist before the intelligence was in the iron.
Winning will be as much organizational as technical. The companies pulling ahead operate on what I call geek norms: clear ownership, openness to pivots, decisions settled by evidence, and a bias toward speed — plan a little, iterate a lot, and always know the ROI of your AI. As I compared SpaceX and Boeing on NASA’s crew program; the younger, faster, evidence-driven organization is now the routine provider while the legacy player is still closing out certification. The lesson for our industry is blunt.
Don’t show up to fight yesterday’s war. The iron isn’t going away — but the intelligence riding on it is about to define who leads. Start now, start specific, and build the foundation before your competitors do.
Jeremy Groeteke is Global Head of IT & Digital Strategy for Syngenta Group’s Vegetable and Flowers business, where he leads AI, data, and digital agronomy initiatives that drive profitability and sustainability. With more than 20 years of agribusiness leadership experience, he has led multimillion-dollar product launches, built global teams, and forged key industry partnerships.