Google, Nvidia and Anthropic want Emerald AI to find space on the grid for more data centers
Grid software unicorn Emerald AI has formed a coalition with Google and Nvidia that will use the startup’s technology to secure space on the grid for more data centers. The AI Energy Management Alliance (AEMA) hopes to make demand response — a paradigm in which data centers temporarily reduce their electricity use — an integral part of data center development. Pausing noncritical tasks and shifting some compute loads, AEMA says, could allow an additional 100 gigawatts of data centers to connect to the grid.
- ▪Grid software unicorn Emerald AI has formed a coalition with Google and Nvidia that will use the startup’s technology to secure space on the grid for more data centers.
- ▪The AI Energy Management Alliance (AEMA) hopes to make demand response — a paradigm in which data centers temporarily reduce their electricity use — an integral part of data center development.
- ▪Pausing noncritical tasks and shifting some compute loads, AEMA says, could allow an additional 100 gigawatts of data centers to connect to the grid.
2 outlets in our directory ran this story, first to last over 2 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
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Story provenance
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Record
| Original publisher | TechCrunch |
| Canonical URL | https://techcrunch.com/2026/09/17/google-nvidia-and-anthropic-want-emerald-ai-to-find-space-on-the-grid-for-more-data-centers/ |
| Publication time | Thu, 17 Sep 2026 13:38:33 +0000 |
| Retrieval time | 2026-09-17T13:43:46.350Z |
| Last seen | 2026-09-17T13:43:46.350Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | kI-ats7Oaq9Y · 2 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Grid software unicorn Emerald AI has formed a coalition with Google and Nvidia that will use the startup’s technology to secure space on the grid for more data centers. The AI Energy Management Alliance (AEMA) hopes to make demand response — a paradigm in which data centers temporarily reduce their electricity use — an integral part of data center development. Pausing noncritical tasks and shifting some compute loads, AEMA says, could allow an additional 100 gigawatts of data centers to connect to the grid. The founding trio is joined by Anthropic, and a range of utilities including AES, Constellation, National Grid, and NRG Energy. Demand response is an old concept that has been used by utilities for decades. It works because the grid is designed with peak loads in mind.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at TechCrunch.
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