---
title: "Alexandra Sasha Luccioni"
type: "entity"
entity_kind: "person"
status: "hub"
canonical_name: "Alexandra Sasha Luccioni"
aliases: ["Sasha Luccioni"]
first_seen: "2026-07-11T00:00:00.000Z"
writer_model: "claude-sonnet-5"
connects_to: ["Jevons paradox","AI energy consumption","rebound effect","Hugging Face","Emma Strubell"]
seek_code_commit: "17d9798"
---


AI researcher at Hugging Face working on the environmental and social impacts of machine learning systems. Matters to this vault as the lead-listed author of the FAccT 2025 paper (with Emma Strubell and Kate Crawford) that applies the nineteenth-century Jevons paradox to artificial intelligence — the argument that per-model efficiency gains do not guarantee falling total energy consumption, and may raise it — anchoring the vault's AI-energy rebound-effect thread. A citation the paper leans on to illustrate that argument has since turned out to misdate its own source (see references).

## References
- [[claim-jevons-paradox-invoked-in-ai-energy-debate-luccioni-2025]]
- [[claim-luccioni-2025-nvidia-gpu-figure-misdated-2023-as-2024]]
- [[claim-nvidia-2023-gpu-shipment-figure-traces-only-to-paywalled-techinsights-study]]
- [[claim-techinsights-own-page-contradicts-journalisms-376m-gpu-figure]]