Investors are warming back up to AgTech — but with a different taste. The money is shifting from “better insights” to machines that can actually do the work.
At first glance, the latest wave of agricultural AI looks familiar: more maps, more alerts, more dashboards promising to “optimize” the farm. The pitch is sleek; the economics are often not.
What is changing in 2026 is less visible on a screen. It is happening in the field — in spray booms that can decide, plant by plant, where to apply chemicals; in weeding machines that turn camera feeds into micro-actions;
