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POTENTIAL ANTITRUST ISSUES WITH NIL GO'S ALGORITHMIC DETERMINATIONS OF NIL "FAIR MARKET VALUE".

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Title: POTENTIAL ANTITRUST ISSUES WITH NIL GO'S ALGORITHMIC DETERMINATIONS OF NIL "FAIR MARKET VALUE".
Authors: EHRLICH, SAM C.1, VAN DYCK, KATHERINE2, PHILLIPS, TYLER3
Source: Journal of College & University Law. Apr2026, Vol. 51 Issue 1, p89-130. 42p.
Subject Terms: *College sports, *College athletes' salaries, *College sports management, Antitrust law, Market value, Time-based pricing, Price regulation
Abstract: The House Settlement introduces a new regulatory architecture for college sports: Universities may now share revenue directly with athletes but only within a capped system accompanied by centralized oversight of third-party name, image, and likeness (NIL) transactions. The newly formed College Sports Commission (CSC), working with Deloitte, has operationalized these rules through NIL Go, a data-driven platform that evaluates whether athlete deals fall within a permissible "reasonable range of compensation." This article situates NIL Go within a broader set of industries turning to algorithmic tools to structure markets, including rental housing and hospitality, where shared pricing systems have recently come under judicial antitrust scrutiny. By comparing the CSC's model to these emerging forms of algorithmic coordination, the article identifies the key questions NIL Go raises for universities implementing the settlement and considers how developments in algorithmic-pricing litigation may shape future governance of athlete compensation. [ABSTRACT FROM AUTHOR]
Copyright of Journal of College & University Law is the property of National Association of College & University Attorneys 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: Education Research Complete
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PubType: Academic Journal
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  Data: POTENTIAL ANTITRUST ISSUES WITH NIL GO'S ALGORITHMIC DETERMINATIONS OF NIL "FAIR MARKET VALUE".
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  Data: <searchLink fieldCode="AR" term="%22EHRLICH%2C+SAM+C%2E%22">EHRLICH, SAM C.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22VAN+DYCK%2C+KATHERINE%22">VAN DYCK, KATHERINE</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22PHILLIPS%2C+TYLER%22">PHILLIPS, TYLER</searchLink><relatesTo>3</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+College+%26+University+Law%22">Journal of College & University Law</searchLink>. Apr2026, Vol. 51 Issue 1, p89-130. 42p.
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  Data: *<searchLink fieldCode="DE" term="%22College+sports%22">College sports</searchLink><br />*<searchLink fieldCode="DE" term="%22College+athletes'+salaries%22">College athletes' salaries</searchLink><br />*<searchLink fieldCode="DE" term="%22College+sports+management%22">College sports management</searchLink><br /><searchLink fieldCode="DE" term="%22Antitrust+law%22">Antitrust law</searchLink><br /><searchLink fieldCode="DE" term="%22Market+value%22">Market value</searchLink><br /><searchLink fieldCode="DE" term="%22Time-based+pricing%22">Time-based pricing</searchLink><br /><searchLink fieldCode="DE" term="%22Price+regulation%22">Price regulation</searchLink>
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  Data: The House Settlement introduces a new regulatory architecture for college sports: Universities may now share revenue directly with athletes but only within a capped system accompanied by centralized oversight of third-party name, image, and likeness (NIL) transactions. The newly formed College Sports Commission (CSC), working with Deloitte, has operationalized these rules through NIL Go, a data-driven platform that evaluates whether athlete deals fall within a permissible "reasonable range of compensation." This article situates NIL Go within a broader set of industries turning to algorithmic tools to structure markets, including rental housing and hospitality, where shared pricing systems have recently come under judicial antitrust scrutiny. By comparing the CSC's model to these emerging forms of algorithmic coordination, the article identifies the key questions NIL Go raises for universities implementing the settlement and considers how developments in algorithmic-pricing litigation may shape future governance of athlete compensation. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of College & University Law is the property of National Association of College & University Attorneys 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.)
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      – Code: eng
        Text: English
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        PageCount: 42
        StartPage: 89
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      – SubjectFull: College sports
        Type: general
      – SubjectFull: College athletes' salaries
        Type: general
      – SubjectFull: College sports management
        Type: general
      – SubjectFull: Antitrust law
        Type: general
      – SubjectFull: Market value
        Type: general
      – SubjectFull: Time-based pricing
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      – SubjectFull: Price regulation
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      – TitleFull: POTENTIAL ANTITRUST ISSUES WITH NIL GO'S ALGORITHMIC DETERMINATIONS OF NIL "FAIR MARKET VALUE".
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              Text: Apr2026
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              Y: 2026
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