Periodical

Vinod Khosla: AI's energy crisis has a fix — and it doesn't need the grid.

Bibliographic Details
Title: Vinod Khosla: AI's energy crisis has a fix — and it doesn't need the grid.
Authors: Khosla, Vinod (AUTHOR)
Source: Fortune.com. 7/1/2026, pN.PAG-N.PAG. 1p.
Subject Terms: *Electric power distribution grids, *Power resources, *Energy shortages, Electric generators, Distributed power generation, Alternative fuels
Geographic Terms: United States
Abstract: The article focuses on the challenge of powering the rapidly expanding artificial intelligence (AI) infrastructure amid limitations of the U.S. electricity grid, which cannot meet current demands for scale, speed, and flexibility. It highlights that traditional gas turbines, used for decades, are inadequate for the urgent power needs of AI data centers, which consume electricity comparable to a city of 80,000 people. As an alternative, the article presents linear generators—fuel-flexible, low-emission, modular power sources that can be deployed quickly and operate independently of the grid—as a promising solution to bypass grid constraints and support AI growth. The adoption of such on-site generation technology by major companies could reshape the competitive landscape of AI infrastructure by enabling faster, cleaner, and more flexible power deployment. [Extracted from the article]
Copyright of Fortune.com is the property of Fortune Media (USA) Corporation and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Business Source Index
FullText Text:
  Availability: 0
Header DbId: bsx
DbLabel: Business Source Index
An: 195000737
RelevancyScore: 1407
AccessLevel: 6
PubType: Periodical
PubTypeId: serialPeriodical
PreciseRelevancyScore: 1406.61413574219
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Vinod Khosla: AI's energy crisis has a fix — and it doesn't need the grid.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Khosla%2C+Vinod%22">Khosla, Vinod</searchLink> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Fortune%2Ecom%22">Fortune.com</searchLink>. 7/1/2026, pN.PAG-N.PAG. 1p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Electric+power+distribution+grids%22">Electric power distribution grids</searchLink><br />*<searchLink fieldCode="DE" term="%22Power+resources%22">Power resources</searchLink><br />*<searchLink fieldCode="DE" term="%22Energy+shortages%22">Energy shortages</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+generators%22">Electric generators</searchLink><br /><searchLink fieldCode="DE" term="%22Distributed+power+generation%22">Distributed power generation</searchLink><br /><searchLink fieldCode="DE" term="%22Alternative+fuels%22">Alternative fuels</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22United+States%22">United States</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The article focuses on the challenge of powering the rapidly expanding artificial intelligence (AI) infrastructure amid limitations of the U.S. electricity grid, which cannot meet current demands for scale, speed, and flexibility. It highlights that traditional gas turbines, used for decades, are inadequate for the urgent power needs of AI data centers, which consume electricity comparable to a city of 80,000 people. As an alternative, the article presents linear generators—fuel-flexible, low-emission, modular power sources that can be deployed quickly and operate independently of the grid—as a promising solution to bypass grid constraints and support AI growth. The adoption of such on-site generation technology by major companies could reshape the competitive landscape of AI infrastructure by enabling faster, cleaner, and more flexible power deployment. [Extracted from the article]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Fortune.com is the property of Fortune Media (USA) Corporation and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsx&AN=195000737
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Electric power distribution grids
        Type: general
      – SubjectFull: Power resources
        Type: general
      – SubjectFull: Energy shortages
        Type: general
      – SubjectFull: Electric generators
        Type: general
      – SubjectFull: Distributed power generation
        Type: general
      – SubjectFull: Alternative fuels
        Type: general
      – SubjectFull: United States
        Type: general
    Titles:
      – TitleFull: Vinod Khosla: AI's energy crisis has a fix — and it doesn't need the grid.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Khosla, Vinod
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Text: 7/1/2026
              Type: published
              Y: 2026
          Titles:
            – TitleFull: Fortune.com
              Type: main
ResultId 1