From Lab to Life12 Aug 2025 · Essay
The Hidden Cost of AI: What Every Leader Needs to Know About Energy and Water
A short leader-facing digest of the peer-reviewed COTRUGLI research on generative AI's resource footprint (B15).
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The thesisChasing Jarvis: The Bottleneck Was Never the CodeWe are learning to build and ship real digital products using AI coding agents. The gap between idea and shipped product is no longer technical, it is contextual.The methodEvery Product Needs a HomeBuilding a modern website in the age of AI agents: a manual, told through the new website of The CuratorThe researchContext as Architecture: Full-Corpus Grounding, Orchestrated Agentic Development, and Compliance-by-Design in a Production AI Assistant PlatformThis paper reports a longitudinal design-science case study of a single production artefact — Lumina, a multi-tenant AI assistant platform — across two complete generations built fourteen months apart in capability terms and seven months apart in calendar terms.
Research1 Jun 2025 · Paper
The Energy and Water Footprint of Generative AI: A Vanguard Leadership Perspective
Examines generative AI's energy and water demand, efficiency differences between LLMs (Mixtral 8x22B at ~0.15 Wh per query versus Claude 3.5 at ~0.4 Wh), and regional implications in Europe, the US and Asia.