Why AI-managed conservation is repeating colonial mistakes

Down on the ground, where the soil meets the sensor, the Adivasi is not the “noise” to be deleted; they are the only signal that actually matters

- NISHANT SAHDEV

Decades ago, political scientist James C. Scott wrote Seeing Like a State, a book that should be mandatory reading for anyone currently obsessed with “Smart Forestry”.

In it, he describes how 18th-century Prussian foresters grew tired of the unruly, unmappable chaos of the woods. They wanted a forest they could count and tax from a desk in Berlin. So, they cleared the ancient, tangled undergrowth and replaced it with the normal “baum”—neat, standardised, taxable rows of identical trees.

They created a “scientific” forest that looked perfect on a spreadsheet but eventually collapsed into “Waldsterben” (forest death). It died because it lacked a soul—and more importantly, because it lacked the ecological complexity that only “messiness” can provide.

Walk into the deciduous heartlands of Central India this May and you'll hear a sound that suggests we've learnt nothing from the Prussians. It’s a flat, electric whine—the dry hum of a drone battery cutting through the humid air of the Sal canopy. As the nationwide Digital Forest Management System (DFMS) completes its rollout this month, we aren't just straightening the trees anymore. We are digitising the very act of exclusion. We have traded the surveyor’s brass chain for a 4K thermal camera, and the ghost of the 1927 Forest Act is now a permanent ghost in the machine.