AI can help protect nature. Its power bill still needs scrutiny.

There is no contradiction in using a tool to protect nature while asking hard questions about the infrastructure behind it. The mistake would be letting either side of that argument cancel the other. A useful conservation project does not prove every data center is well designed. A costly data center does not prove every AI application is worthless. DataVita's own public pages show why the details matter. Its January announcement described a Lanarkshire expansion with privately wired renewable infrastructure. Its FAQ, updated in November, instead describes fully grid-served centers, with nearby renewable projects as separate proposals that could supply them directly later. That is a change in the public power plan—not evidence that the grid is entirely fossil-fueled or that construction has been canceled. The Guardian reports a continuing renewable-purchasing commitment. There is a real constructive counterpoint. Reuters reports environmental organizations using AI while worrying about its footprint. The Nature Conservancy's own 2026 technical work describes onboard analysis of fishing-vessel video with human validation. Better monitoring is useful; it is not, by itself, proof of recovered fish populations or a net climate benefit. Our proposed test therefore has two parts. For an application, ask what outcome improves against a credible alternative. For its infrastructure, ask what electricity, connections and local resources are required, when they will arrive, and who bears the costs. A renewable purchasing contract and a direct physical supply arrangement answer different questions. This is not a demand for perfect technology before anything can be useful. It is a demand for specific accounting. Conservation teams deserve tools that help them do difficult work. Communities deserve equally specific explanations of the buildout those tools depend on.