{
  "id": 19109,
  "url": "https://arxiv.org/abs/2608.12350",
  "title": "From Caveman to Expert Analyst: Energy Consumption of Variable LLM Tasks",
  "summary": "arXiv:2608.12350v1 Announce Type: new Abstract: The energy demand growth and environmental impacts of artificial intelligence (AI) have generated substantial interest in supplying sufficient low-cost electricity for AI-driven data center development. Research on the ability of demand-side management to address these challenges has been more limited. Shifting the amount or timing of demand from retail, corporate, and other organizational behaviors is a plausible option but only if changes in dema",
  "authors": "Diego Manya, Ethan I. Thorpe, Ji Zhang, Myranda Shirk, Jiamian He, Angel Hsu, Michael P. Vandenbergh",
  "category": "research",
  "topics": "environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-14T04:00:00.000Z",
  "fetched_at": "2026-08-14T05:10:49.168Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/19109",
  "original_url": "https://arxiv.org/abs/2608.12350",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}