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Lead story -How can organizations best measure the environmental impact of AI across their entire value chain?
The environmental impact of AI is one of the most important lingering storylines. It's not a simple issue to wrap heads around - especially when you consider that it's really the generative and agentic AI scaling, inferencing and looping that is driving the exponential energy consumption (and data center buildouts). Not all forms of AI have the same environmental impact.
Even in the the generative AI market, smaller models change the energy equation. And, in some cases, AI can help with monitoring the same resources it is at risk of depleting. With those cans of worms in mind, I read Cath's latest two part series with interest. If we want to get anywhere, we better get a handle on measurement. Cath:
Even in carbon terms, organizations are struggling to measure their AI...
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