Podcast · source-verified

AI & Energy Efficiency: Just Follow The Money!

Gaël Duez · 2025-09-09

Anne Currie is the co-author of the acclaimed O’Reilly book “Building Green Software”, a pillar of the GSF, a veteran in the Cloud Industry and also a SF novelist with her series of panopticon books. Preparing her forthcoming keynote at Green IO London, she went all the way down into the rabbit hole of AI and energy efficiency. She investigated from OpenAI to DeepSeek and open source models, what a software developer using these models can and cannot do to reduce energy consumption, and so on.

Show citation

Gaël Duez. 2025-09-09. AI & Energy Efficiency: Just Follow The Money!. https://podcast.greenio.tech/e/183m7xp8-63-b-ai-energy-efficiency-just-follow-the-money-with-anne-currie (AI & Environment Resource Hub; record pod-0133; collection snapshot 2026-09-15).

Classification and context

Included in the original Podcast collection. Labels below are metadata based suggestions. They are not verified findings, claims of effectiveness, or endorsements.

pathway

topic

lifecycle

orientation

Definitions, inclusion guidance, and examples →

Available source metadata

Author or creator
Gaël Duez
Publisher
#63.b AI & Energy Efficiency: just follow the money? with Anne Currie
Publication date
2025-09-09
Date precision
day
Geographic scope
Unknown
Language
unknown
Peer review
unknown
Source status
verified
Last verified
2026-09-15T16:44:13.368Z
Snapshot import
2026-09-06
Legacy domain
Energy
Legacy subdomain
Financial Investments and AI's Energy Consumption

Provenance and review

Source sheet: Podcast · Row 136 · Original ID: pod-0133.

View source spreadsheet ↗

Commentary and interviews should not be treated as independently verified findings. Source link reachable · checked 2026-09-15. Source identity and required metadata verified. The import date is not the original date added.

Suggest a correction for this record →

Related through shared environmental topics

Ordered by the number of shared provisional topic labels. This indicates a browsing connection, not agreement between sources.

Shared topics: Cross-cutting sustainability; Governance and society; Energy and electricity; Built environment and infrastructure

Multimedia · 2026-06-25

Addressing Water Challenges for AI and Data Centres

Artificial Intelligence (AI) has the potential to transform how water is managed. Yet, these emerging opportunities raise critical considerations around issues such as data governance, energy use, and the environmental footprint of digital infrastructure. To explore these challenges and opportunities, IWRA is launching a new webinar series: "The Promises and Challenges of AI, Data Centres & Freshwater Futures". Bringing together experts from around the world, the series examines the intersection of emerging technologies and water sustainability.

youtube.com

Shared topics: Cross-cutting sustainability; Governance and society; Energy and electricity; Built environment and infrastructure

Scientific Paper · 2024-12-12

AI and Machine Learning in Optoelectronics for Global Sustainability

AI and ML optimize optoelectronic systems for sustainability by enhancing energy efficiency, renewable energy harvesting, environmental monitoring, and smart cities while also advancing ocean optics and photonics for marine ecosystem monitoring and climate change mitigation.

Library Progress International

Shared topics: Cross-cutting sustainability; Governance and society; Energy and electricity; Built environment and infrastructure

Multimedia · 2025-02-24

AI as a Top Energy User: Is It Sustainable? | IIA Davos 2025

Join us at World Forum 2025 for a dynamic panel on AI’s energy demands and environmental impact, where experts explore sustainable data centers, renewable solutions, and policies shaping a greener future.

youtube.com

Shared topics: Cross-cutting sustainability; Governance and society; Energy and electricity; Built environment and infrastructure

Multimedia · 2026-08-07

AI Data Centers: Separating Fact from Fiction | Penn & Wharton Experts

As companies race to build the next generation of AI, data centers have become the focus of heated debates over electricity demand, water use, and economic impact. But how much of what we're hearing is guesswork, and what still needs to be understood? Learn more in this webinar featuring experts from the Wharton School and the University of Pennsylvania.

youtube.com