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Podcast
E10: Data centers and the race to power AI (part 1)
Author or publisher unknown · 2026-10-08
What it covers
Ask MIT Climate brings together Costa Samaras and Vijay Gadepally to explain how AI data center demand affects electricity grids, affordability, communities and climate goals.
Who it helps
Intended audience has not been documented.
Limitations
Official MIT description and transcript reviewed. Discussion of changing demand and local impacts, not a fixed universal estimate of AI energy use.
Show citation
Author unknown. 2026-10-08. E10: Data centers and the race to power AI (part 1). https://climate.mit.edu/podcasts/e10-data-centers-and-race-power-ai-part-1 (AI & Environment Resource Hub; record podcast-mit-data-centers-race-power-ai-part1-2026; collection snapshot 2026-10-18).
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.
Definitions, inclusion guidance, and examples →
Available source metadata
- Author or creator
- Unknown or not supplied
- Publisher
- Unknown or not supplied
- Publication date
- 2026-10-08
- Date precision
- day
- Geographic scope
- Unknown
- Language
- unknown
- Peer review
- unknown
- Source access
- Not checked
- Metadata confidence
- Metadata unconfirmed
- Last verified
- Not yet verified
- Snapshot import
- 2026-10-18
- Legacy domain
- AI & Energy
- Legacy subdomain
- Unknown or not supplied
- source evidence
- https://climate.mit.edu/podcasts/e10-data-centers-and-race-power-ai-part-1
- metadata reviewed at
- 2026-10-18
- review evidence
- https://climate.mit.edu/podcasts/e10-data-centers-and-race-power-ai-part-1
- context reviewed at
- 2026-10-18
Provenance and review
- Source access
- Not checked
- Metadata confidence
- Metadata unconfirmed
- Editorial relevance
- Environmental footprint of AI
- Evidence quality
- Evidence quality has not been separately assessed.
Source sheet: Podcast · Row 281 · Original ID: podcast-mit-data-centers-race-power-ai-part1-2026.
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Commentary and interviews should not be treated as independently verified findings. Source link has not yet been checked. The import date is not the original date added.
Suggest a correction for this record →Newsletter appearances
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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: Energy and electricity; Climate and greenhouse gases; Built environment and infrastructure
Scientific Paper · 2026-09-15
This article proposes a five-step state policy roadmap for data center development: conduct environmental and community impact studies, use the findings in siting decisions, reassess incentives, require large facilities to pair with off-grid clean energy and storage, and mandate community-benefit sharing. It focuses on protecting grid reliability, electricity affordability, environmental integrity, and host communities.
Source: SSRNAutomated access restricted · Metadata unconfirmed
Shared topics: Energy and electricity; Climate and greenhouse gases; Built environment and infrastructure
Podcast · 2026-10-22
On Catalyst, Shayle Kann speaks with Frost Methane Labs CEO Olya Irzak about methane leaks and unburned fuel associated with gas-powered data centers, and approaches such as fuel procurement, leak repair, and engine controls.
Source: PodcastNot checked · Metadata unconfirmed
Shared topics: Energy and electricity; Climate and greenhouse gases; Built environment and infrastructure
Podcast · 2026-07-02
The Great Switch interviews EcoDataCenter and Schneider Electric leaders about scaling AI data centers in Sweden using renewable power, heat reuse and lower-carbon construction, alongside permitting and policy challenges.
Source: PodcastNot checked · Metadata unconfirmed
Shared topics: Energy and electricity; Climate and greenhouse gases; Built environment and infrastructure
Policy Document · 2026-09-01
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Source: Friedrich-Ebert-Stiftung; Maria NowickaNot checked · Metadata unconfirmed
