It may sound like an extreme-sounding position. Given the already catastrophic impact on the environment (including the human health impacts) of AI data-centers and the exponential growth of AI in the future, we increasingly have a choice between living on a habitable planet and embracing this latest technological assault on inhuman nature.

In May, the MIT Technology Review released “Power Hungry: AI and Our Energy Future,” a comprehensive study on the mind-boggling energy demands of this technology. AI already consumes around 5% of electricity produced in the U.S. and 2% globally. Ten simple queries require the same amount of energy as boiling water for a cup of coffee or tea. Heavy annual use (roughly 9100 queries) is the equivalent of taking a three-hour flight.

The forecasts for AI energy requirements are even more ominous. The global energy demands of AI could reach 20% of electricity produced in five years, potentially more in the United States. Even as our energy supply grows, it cannot keep up with this pace. The AI energy behemoth is rendering every megawatt of renewable energy that comes online almost meaningless. The idea was for a renewable energy supply to replace fossil fuels for lighting our homes, powering appliances and running the fans and air conditioners that are increasingly necessary for surviving a superheating planet. AI will soon erase the progress we had made in this arena.

And the energy demands of AI are already reversing the modest energy transition the world was making, as new coal-fired plants, both new and revived nuclear power plants, and ever more methane-fired power plants come online. It is not difficult to imagine that AI companies might ration energy either explicitly (through managing supply) or implicitly (by forcing household utility customers to bear, until they can’t, the cost of limited supply and increased demand — there is evidence this is already happening.)

Disproportionate energy consumption is but one environmentally devastating impact of AI. Most power generation sources require water as a coolant and many data centers use fresh water directly for cooling. A 100 megawatt datacenter requires on a daily basis the same amount of water that 6500 average U.S. households consume in one year. Within three years, AI datacenters could be consuming 5% of the entire public water supply in the United States at a time when fresh water supplies are harder than ever to secure.

All of this might seem far away from Ithaca. Millions of people are already suffering from the “Empire of AI” (to borrow the useful frame of Karen Hao). By some estimates, the build-out of AI datacenters has already inflicted more than $5 billion in public health costs. The impact on non-human nature has also been terrible for ecosystems beyond worsening global warming.

We should all know by now that we all live downstream, no matter how far away from the sources of environmental and social disruption. But these impacts could be local soon: a tech company from Maryland wants to build out a data center at the site of the former Milliken Station power plant just 17 miles north of the Ithaca College campus. Already, there is crypto-mining on Seneca Lake.

The IC community should think carefully about the impact of the empire of AI on the planet that sustains us, not to mention on our very humanity.