Gig Platforms as Hub-and-Spoke Arrangements and Algorithmic Pricing: A Comparative EU-US Antitrust Analysis

14 Pages Posted: 1 Dec 2021

See all articles by Max Huffman

Max Huffman

Indiana University Robert H. McKinney School of Law

Maria José Schmidt-Kessen

Central European University (CEU) - Department of Legal Studies

Date Written: November 19, 2021

Abstract

Gig platforms are a modern economy enterprise structure characterized by a firm matching service providers with consumers – prominent examples include ride-sharing platforms, like Uber; delivery platforms, like Wolt; and lodging rental platforms, like Airbnb. As all online platforms, gig platforms are data-driven business models that employ and develop algorithms and AI tools that learn from user behavior and adapt to make interactions increasingly efficient. In contrast to other online platforms, such as advertising exchanges or online market places for goods, gig platforms enable users to sell their labor or services to other users via the platform.

Scholarship has shown enterprises that contracts with their service providers, who are then by necessity operating as independent enterprises, are best analyzed as agreements implicating Art. 101 TFEU and Section 1 of the Sherman Act. Currently, the dominant legal treatment of service providers on platforms including Uber (ride-sharing) and Wolt (food delivery) is as contractors rather than employees. We employ here the lens of a hub-and-spoke arrangement, with the platform as the hub and the service providers as the spokes, and the algorithmically-established price terms representing a collection of parallel vertical agreements. We then engage in a comparative study of the legal implications under antitrust law in the US and the EU of hub-and-spoke arrangements.

The chapter proceeds to outline the hub-and-spoke structure of the service provider-platform agreements in a gig economy enterprise, including the universal agreement to abide by prices set by algorithm in contracting for services. It covers various design options for pricing algorithms that can be used by platforms to coordinate the transaction between its users. Next, the chapter considers the EU caselaw on hub-and-spoke arrangements, analyzing authorities from across the EU, and identifies the probable treatment of the gig economy agreements in the light of these authorities. The chapter then conducts a similar analysis of leading recent authorities in the US and likewise concludes the most probable treatment under US law. In the conclusion, the chapter compares and explains the likely legal treatment of an algorithmically defined hub-and-spoke agreement and suggests areas for change.

Keywords: AI, artificial intelligence, algorithm, algorithmic collusion, conspiracy, hub-and-spoke, antitrust, sharing economy, gig economy, comparative law, eu competition law, us Antitrust law, antitrust, competition, neural network, deep learning

Suggested Citation

Huffman, Max and Schmidt-Kessen, Maria José, Gig Platforms as Hub-and-Spoke Arrangements and Algorithmic Pricing: A Comparative EU-US Antitrust Analysis (November 19, 2021). Available at SSRN: https://ssrn.com/abstract=3969194 or http://dx.doi.org/10.2139/ssrn.3969194

Max Huffman (Contact Author)

Indiana University Robert H. McKinney School of Law ( email )

530 West New York Street
Indianapolis, IN 46202
United States

Maria José Schmidt-Kessen

Central European University (CEU) - Department of Legal Studies ( email )

Quellenstr 51
Vienna, 1100
Austria

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