Farming is where physical AI stops being about self driving cars.
Melissa Clark-Reynolds ONZM is one of New Zealand's most recognized futurists, and the room she walks into is not the one you would expect. She sits on the board of Wētā Workshop. She was Deputy Chair of Radio New Zealand, Chair of Alpine Energy, and the first independent director in the history of Beef and Lamb New Zealand. She was made an Officer of the New Zealand Order of Merit in 2015 for services to technology, after twenty five years as an entrepreneur and CEO, including building a virtual world that reached close to a million players. She trained as a futurist at the Institute for the Future in Palo Alto, the School of International Futures in the UK, and with Clayton Christensen at Harvard. She teaches governance and disruptive business models for the New Zealand Institute of Directors.
She has also been early to this before. She started coding in high school and was the only person on either track of her US master's, engineering and planning on one side and epidemiology on the other, who could write code. That got her modeling pollution flows and the movement of pandemics in the 1980s. Her point about that era: the hard part was not the math, it was that there was no language yet to explain what she was doing.
She thinks physical AI is in exactly that place now.
She joins Titto Thomas and Nick Shelton to explain where autonomy is actually landing on farms, and the episode turns on a decision one of the world's largest equipment makers took in 2016: a corporate strategy stating they no longer wanted to sell hardware. The company famous for tractors did not want to sell tractors. What they wanted was to operate any of their equipment from anywhere, which meant digitizing farmland and betting enormously on autonomy. Her read: a new technology almost never succeeds until the operating and business model changes with it.
Then the counterexample. A startup built electric autonomous tractors, and one runs a cherry orchard in New Zealand where every tree carries a code, so each cherry traces back to the tree it came from. The investment community loved the company. It could not make the business model work and the assets were sold off. Titto's line from Episode 12 was that the second mouse gets the cheese. Melissa flips it: the incumbent's balance sheet let it sweat the old assets while building the new ones, so the first mover won and the better product went broke.
On why adoption stalls, her answer is not about technology. Farmers are being sold technology rather than a solution. A farmer does not want AI. A farmer cannot hire staff. Sell them a worker that runs 24 hours a day, or a machine that takes a person out of the most dangerous job in forestry, and the conversation changes.
Then Nick asks the question the episode needed. What are the perils?
Melissa turns it over. Farmland got mapped, and nobody asked the farmers. If drones are surveying your crops, who else can buy that data, and what happens if it shows you accidentally grew a patented seed that blew in from your neighbor. And the right to repair fight, which she compares to printer ink: if the machine reports its own fault and only the manufacturer's certified part and certified mechanic can fix it, do you still own what you bought?
Melissa is back next episode for governance and world models.
CHAPTERS
00:00 Introducing Melissa Clark-Reynolds
00:25 Coding in the 80s, pandemics, and the missing language
03:33 Physical AI is bigger than self driving cars
04:08 The decision to stop selling hardware
07:07 The second mouse, and why the better product went broke
09:48 Selling technology instead of selling a solution
13:01 Autonomous harvesting in Dutch greenhouses
14:25 Clarkson's Farm and how do we farm forever
15:50 Three ways to kill a weed: spray, rip, laser
19:54 Fitbits for cows and farming without fences
23:27 AI becomes a utility, like the tap
24:57 Nick Shelton on why agriculture adopts late
26:47 The perils: who mapped your farm, and who owns that data
28:45 Right to repair, and the printer ink problem
30:08 Next time: governance and world models
GUESTS
Melissa Clark-Reynolds ONZM, futurist, professional director and founder of Future Centre New Zealand
https://www.linkedin.com/in/melissaclarkr/
Nick Shelton, Director for North America, Robotyx
https://www.linkedin.com/in/nickshelton/
Host: Titto Thomas, Tryfecta Group
https://tryfecta.biz
