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29:11 Homestead

Jeremiah 29:11

Tools

AI Isn’t the Enemy of the Land — But We Need to Talk About the Cost

08/09/2026

We use AI on this homestead. We use it to help plan out garden rotations, guide a portion of the content on this site, and keep the business running so we can afford to keep doing all of this in the first place. It’s not just a homestead thing either — I work in technology, and I’m on a team actively rolling AI out at work. I’m not coming at this from the outside looking in. We’re also the kind of family that cares deeply about clean water, healthy soil, and land that isn’t stripped bare for someone else’s convenience. Those two things sit uncomfortably next to each other, and we’re not going to pretend they don’t.

AI is a tool, not a philosophy

A tractor doesn’t care whether you use it to till a garden or clear a forest for a strip mall. Same with AI. We use it for frost predictions, for identifying a weed or a pest from a bad phone photo, for keeping livestock records straight, and I use it every day at work, building it into how teams operate. None of that makes AI good. It just makes it useful, the same way a chainsaw is useful. What matters is what it costs to run and what we choose to do with it.

What it actually costs

This is the part most “AI and farming” articles skip, and it’s the part we can’t skip if we’re being honest with ourselves.

Data centers run hot, and they need water to stay cool — millions of gallons a year for a single large facility, pulled from the same water tables that feed the wells and streams a lot of us depend on. That’s not abstract to us. We will be on well water. When someone upstream draws down an aquifer to cool a server farm, that’s not a tech story, that’s a homestead story.

Then there’s power. Training and running these models takes enormous amounts of electricity, and the grid doesn’t have unlimited headroom. In a lot of places, meeting that demand means keeping coal plants running longer or firing up new gas plants — the opposite direction from where we should be headed.

And then there’s land. Data centers need space, and they’re going in fast, sometimes on forest and farmland that used to do something else — grow food, hold water, support wildlife. Once it’s under a slab of concrete and server racks, it’s not coming back to either use.

The real tension isn’t AI vs. nature

We’re not tree huggers in the granola, lock-it-all-up sense. We’re closer to Roosevelt conservationists — the guys who hunted, ranched, and cleared land for a living, and still understood that you don’t burn through a resource just because you can. Conservation was never about locking nature away from people. It was about using it without wrecking it for the next generation. That’s the tradition we’re standing in.

The real tension isn’t AI versus nature — it’s accountability. The tech industry’s incentive right now is to scale as fast as possible and let someone else worry about the water table, the grid, and the tree line. That’s not a reason to throw the tool away. It’s a reason to stop pretending the tool is free.

Using AI deliberately and demanding the industry build it responsibly are two different things, and we can do both at once. We don’t have to choose between “AI is evil, unplug everything” and “don’t think about it, it’s just software.” Both of those are ways of not paying attention.

How we think about it here

We use AI when it genuinely saves us time or helps us do this work better — not because it’s trendy, not because everyone else is doing it. That’s true on the homestead and it’s true at my job too. We stay skeptical of anybody selling AI as some magic fix for food security or energy independence — those are real problems, but software doesn’t grow crops or dig wells. And we pay attention to where these data centers are getting built and who’s fighting for better siting, better water use, better regulation — because that fight matters as much as anything happening on this land.

Stewardship doesn’t stop at the fence line

The whole point of homesteading is refusing to look away from where things actually come from — your food, your water, your energy. We hold our tools to that same standard, whether that’s a piece of software running on the farm or the AI systems I help roll out for a living. We’re not going to stop using it, and we’re not going to stop asking hard questions about what it costs somebody else, somewhere else, every time we do.

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