Open Access
Issue
SHS Web Conf.
Volume 218, 2025
2025 2nd International Conference on Development of Digital Economy (ICDDE 2025)
Article Number 03011
Number of page(s) 6
Section Digital Economic Governance: Policy and Sustainability
DOI https://doi.org/10.1051/shsconf/202521803011
Published online 03 July 2025
  1. A. Korinek, J. Vipra. Concentrating Intelligence: Scaling and Market Structure in Artificial Intelligence. Economic Policy, 40(121), 225-256 (2025) [CrossRef] [Google Scholar]
  2. J. Schmid, T. Sytsma, A. Shenk. Evaluating Natural Monopoly Conditions in the AI Foundation Model Market. RAND Corporation, (2024) [Google Scholar]
  3. T.N. Narechania. Machine Learning as Natural Monopoly. Iowa L. Rev. 107, 1543 (2021) [Google Scholar]
  4. B. Martens. What Should Be Done About Google’s Quasi-Monopoly in Search? Mandatory Data Sharing Versus AI-Driven Technological Competition. TILEC Discussion Paper, Tilburg Law & Economics Centre, DP 2023-12 (2023) [Google Scholar]
  5. J. Johnson, D.D. Sokol. Understanding AI Collusion and Compliance. In Cambridge Handbook of Compliance (D. Daniel Sokol & Benjamin van Rooij, eds.), Social Science Electronic Publishing. Retrieved from http://papers.ssrn.com/sol3/papers.cfm?abstract_id=3413882 [Google Scholar]
  6. A. Herrera-Caicedo, J. Jeffers, E. Prager. Collusion through Common Leadership. Working Paper (2024) [Google Scholar]
  7. M. Sallam, K. Al-Mahzoum, M. Sallam, M.M. Mijwil. DeepSeek: Is it the End of Generative AI Monopoly or the Mark of the Impending Doomsday? Mesopotamian Journal of Big Data, 26-34 (2025) [Google Scholar]
  8. X. Zhang. Research on Internet Anti-Monopoly Regulation. In Proceedings of the 2021 International Conference on Social Science: Public Administration, Law and International Relations (SSPALIR 2021), Atlantis Press, 65-72 (2021) [Google Scholar]
  9. O. Gladwin. Regulating AI-Driven Markets: Antitrust Strategies for Tackling Data Mo nopolies. (2024). Retrieved from https://www.researchgate.net/profile/Oscar-Gladwin/ publication/384967246_Regulating_AI-Driven_Markets_Antitrust_Strategies_for_Tac kling_Data_Monopolies/links/670fb44a68ac3041499c8762/Regulating-AI-Driven-Mar kets-Antitrust-Strategies-for-Tackling-Data-Monopolies.pdf [Google Scholar]
  10. M. Cooper. Regulating AI Innovation: Strategies for Antitrust Law to Combat Data Monopolies and Ensure Market Fairness. (2024) Retrieved from https://www.researchgate.net/publication/384999369_Regulating_AI_Innovation_Strat egies_for_Antitrust_Law_to_Combat_Data_Monopolies_and_Ensure_Market_Fairnes s [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.