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How AI Is Threatening Platforms' Revenue Streams.

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Title: How AI Is Threatening Platforms' Revenue Streams.
Authors: Cui, Yuanyuan Gina1, van Esch, Patrick1, Kietzmann, Jan2
Source: Harvard Business Review Digital Articles. 4/13/2026, p1-10. 10p.
Subject Terms: *Generative artificial intelligence, *Digital platforms, *Consumer psychology, *Electronic commerce, *Artificial intelligence, *Business models, *Monetization
Company/Entity: Google Inc. GOOG, Amazon.com Inc. 884745530 AMZN
Abstract: The article focuses on how generative artificial intelligence (AI) agents are threatening the revenue streams of major digital platforms such as Google, Amazon, Meta, and others by shifting consumer interactions away from traditional platform interfaces. AI agents autonomously make purchase decisions, bypassing ads, reducing transaction fees, and undermining subscription loyalty, thereby eroding platforms’ advertising, transaction, subscription, and ecosystem service revenues. Unlike platforms that rely on behavioral data within their ecosystems, AI agents gain a holistic understanding of users by accessing diverse personal data, creating a competitive advantage that platforms struggle to match. To respond, platforms can resist through legal means, adapt by developing their own AI agents, or reinvent their business models to become agent-ready, exemplified by initiatives like the Universal Commerce Protocol. The article concludes that the shift to AI agent-driven commerce is accelerating rapidly, posing significant challenges to the traditional platform economy and requiring urgent strategic adjustments by platform operators and related businesses. [Extracted from the article]
Copyright 2026 Harvard Business Publishing. All Rights Reserved. Additional restrictions may apply including the use of this content as assigned course material. Please consult your institution's librarian about any restrictions that might apply under the license with your institution. For more information and teaching resources from Harvard Business Publishing including Harvard Business School Cases, eLearning products, and business simulations please visit hbsp.harvard.edu. (Copyright applies to all Abstracts.)
Database: Business Source Index
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  Availability: 0
Header DbId: bsx
DbLabel: Business Source Index
An: 193102369
RelevancyScore: 1465
AccessLevel: 6
PubType: Periodical
PubTypeId: serialPeriodical
PreciseRelevancyScore: 1465.35424804688
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: How AI Is Threatening Platforms' Revenue Streams.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Cui%2C+Yuanyuan+Gina%22">Cui, Yuanyuan Gina</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22van+Esch%2C+Patrick%22">van Esch, Patrick</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kietzmann%2C+Jan%22">Kietzmann, Jan</searchLink><relatesTo>2</relatesTo>
– Name: TitleSource
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  Data: <searchLink fieldCode="JN" term="%22Harvard+Business+Review+Digital+Articles%22">Harvard Business Review Digital Articles</searchLink>. 4/13/2026, p1-10. 10p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Generative+artificial+intelligence%22">Generative artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Digital+platforms%22">Digital platforms</searchLink><br />*<searchLink fieldCode="DE" term="%22Consumer+psychology%22">Consumer psychology</searchLink><br />*<searchLink fieldCode="DE" term="%22Electronic+commerce%22">Electronic commerce</searchLink><br />*<searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Business+models%22">Business models</searchLink><br />*<searchLink fieldCode="DE" term="%22Monetization%22">Monetization</searchLink>
– Name: SubjectCompany
  Label: Company/Entity
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Google+Inc%2E%22">Google Inc.</searchLink> <searchLink fieldCode="TK" term="%22GOOG%22">GOOG</searchLink><br /><searchLink fieldCode="DE" term="%22Amazon%2Ecom+Inc%2E%22">Amazon.com Inc.</searchLink> <searchLink fieldCode="DN" term="%22884745530%22">884745530</searchLink> <searchLink fieldCode="TK" term="%22AMZN%22">AMZN</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The article focuses on how generative artificial intelligence (AI) agents are threatening the revenue streams of major digital platforms such as Google, Amazon, Meta, and others by shifting consumer interactions away from traditional platform interfaces. AI agents autonomously make purchase decisions, bypassing ads, reducing transaction fees, and undermining subscription loyalty, thereby eroding platforms’ advertising, transaction, subscription, and ecosystem service revenues. Unlike platforms that rely on behavioral data within their ecosystems, AI agents gain a holistic understanding of users by accessing diverse personal data, creating a competitive advantage that platforms struggle to match. To respond, platforms can resist through legal means, adapt by developing their own AI agents, or reinvent their business models to become agent-ready, exemplified by initiatives like the Universal Commerce Protocol. The article concludes that the shift to AI agent-driven commerce is accelerating rapidly, posing significant challenges to the traditional platform economy and requiring urgent strategic adjustments by platform operators and related businesses. [Extracted from the article]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright 2026 Harvard Business Publishing. All Rights Reserved. Additional restrictions may apply including the use of this content as assigned course material. Please consult your institution's librarian about any restrictions that might apply under the license with your institution. For more information and teaching resources from Harvard Business Publishing including Harvard Business School Cases, eLearning products, and business simulations please visit hbsp.harvard.edu.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 1
    Subjects:
      – SubjectFull: Generative artificial intelligence
        Type: general
      – SubjectFull: Digital platforms
        Type: general
      – SubjectFull: Consumer psychology
        Type: general
      – SubjectFull: Electronic commerce
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Business models
        Type: general
      – SubjectFull: Monetization
        Type: general
      – SubjectFull: Google Inc.
        Type: general
      – SubjectFull: Amazon.com Inc.
        Type: general
    Titles:
      – TitleFull: How AI Is Threatening Platforms' Revenue Streams.
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            NameFull: Cui, Yuanyuan Gina
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            NameFull: van Esch, Patrick
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            NameFull: Kietzmann, Jan
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          Dates:
            – D: 13
              M: 04
              Text: 4/13/2026
              Type: published
              Y: 2026
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            – TitleFull: Harvard Business Review Digital Articles
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