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Why Conservation Groups Use AI Despite Data Center Costs
All 15 environmental, conservation and development organizations Reuters interviewed said they use AI, while also worrying about data centers’ energy, water and emissions impacts. Some groups are limiting resource intensive uses, reusing AI results or analyzing footage closer to where it is collected.
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Key takeaways
- All 15 environmental, conservation and development organizations Reuters interviewed said they use AI, while also worrying about data centers’ energy, water and emissions impacts.
- Some groups are limiting resource intensive uses, reusing AI results or analyzing footage closer to where it is collected.
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openai.comCreate a landscape editorial hero image for this Studio Global article: How are environmental, conservation and development organizations worldwide balancing AI’s benefits for wildlife monitoring, wildfire detect. Article summary: The organizations are taking a selective approach: using AI for conservation and research while acknowledging—and trying to limit—the environmental costs of the infrastructure behind it. Reuters’ interviews found that al. Topic tags: general, news, general web, user generated. Style: premium digital editorial illustration, source-backed research mood, clean composition, high detail, modern web publication hero. Use reference image context only for broad subject, composition, and topical grounding; do not copy the exact image. Avoid: logos, brand marks, copyrighted characters, real person likenesses, fake screenshots, UI text, readable text, watermarks, charts w
Environmental and conservation organizations are using AI to analyze climate data, monitor fires and count wildlife, even as they raise concerns about the electricity, water and greenhouse-gas emissions associated with the data centers powering it. In Reuters’ interviews, all 15 organizations said they used AI in some form and expressed concern about its environmental footprint. 6
Their approach is not an endorsement of unrestricted AI use: examples from conservation work show practical gains, alongside efforts to avoid unnecessary computing and data transfers.
Where AI can help conservation work
AI can help turn large or time-consuming collections of environmental data into information that people can act on. Conservation International, for example, uses satellite imagery and AI to alert forest patrols in Cambodia to potential fires. 26
For Save the Elephants, machine learning has sped up the review of aerial survey photographs. A task that previously took nine people nine months to review about 200,000 images can now be completed in hours, according to the reporting. 10 Faster processing can make surveys more usable for conservation work, although the figures alone do not establish the technology’s overall environmental costs or benefits.
The Nature Conservancy uses AI to analyze video recorded on commercial fishing vessels and identify the types and numbers of fish caught. Processing footage closer to where it is collected can also reduce the need to send large video files to remote servers. 26
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How organizations try to limit AI’s footprint
Some organizations are applying limits to the way they use AI. The World Resources Institute says it restricts resource-intensive applications such as generating images and videos, and caches query results so identical searches do not need to be processed again. 19
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The Nature Conservancy’s vessel-based video analysis offers another example: processing footage on or near the vessels can reduce data transfers to remote servers. 26 These measures do not eliminate AI’s resource demands, but they show how organizations can focus on particular conservation tasks and avoid some unnecessary processing.
The trade-off remains unresolved
The underlying concern is broader than any one project. Data centers that support AI are associated with growing electricity demand, water use and greenhouse-gas emissions, concerns raised by the organizations Reuters interviewed. 6 The reporting examples describe useful applications and some resource-conscious practices, but do not quantify the net environmental impact of each project.
That distinction matters: a faster wildlife survey or earlier fire alert may be valuable, but it does not by itself show that the conservation benefit outweighs the energy and water used to deliver it. The evidence points to selective adoption and attempts to reduce avoidable computing—not a settled calculation of AI’s overall environmental balance.
The infrastructure question is also reaching climate-policy discussions. Turkey has launched an initiative ahead of COP31 seeking a political pledge to align AI infrastructure development with global climate goals. 1
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All 15 environmental, conservation and development organizations Reuters interviewed said they use AI, while also worrying about data centers’ energy, water and emissions impacts.
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All 15 environmental, conservation and development organizations Reuters interviewed said they use AI, while also worrying about data centers’ energy, water and emissions impacts. Some groups are limiting resource intensive uses, reusing AI results or analyzing footage closer to where it is collected.
Sources
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