GPTs and digital superintermediaries: dynamics, dilemmas, dangers of generative AI – a conceptual framework

Caroline Muylaluka Azionya | Bio
University of Johannesburg
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GPTs and digital superintermediaries: dynamics, dilemmas, dangers of generative AI – a conceptual framework. (2025). Communicare: Journal for Communication Studies in Africa, 44(1), 92-106. https://doi.org/10.36615/wfx19633
  • Articles
  • Submited: April 12, 2024
  • Published: May 6, 2025

Abstract

The arms race in generative artificial intelligence and artificial intelligence has transformed digital markets, with artificial-intelligence-powered platforms projected to drive market growth to nearly $740 billion by 2030. However, scholarly understanding of how these technologies affect platform competition remains limited. This article explores how generative pre-trained transformers influence digital superintermediaries’ market power and examines whether generative artificial intelligence capabilities reinforce or challenge existing platform dominance. Using a conceptual literature analysis of platforms and artificial intelligence development patterns, the research uncovers a critical paradox: While generative pre-trained transformers represent revolutionary advancement, they create novel forms of artificial intelligence market concentration. The findings reveal how digital superintermediaries leverage artificial-intelligence-powered platforms through control over computational resources and data access, creating self-reinforcing cycles of artificial intelligence capability enhancement. This research demonstrates how artificial intelligence capabilities, particularly generative pre-trained transformers, create new mechanisms of market power consolidation, suggesting the need for innovative regulatory approaches that address the unique characteristics of generative artificial-intelligence-enhanced digital multisided platforms.

References

  1. Adner, R. (2017). Ecosystem as structure: An actionable construct for strategy. Journal of Management, 43(1):39–58.
  2. African Union. (2020). The digital transformation strategy for Africa 2020–2030. Available from: https://au.int/sites/default/files/documents/38507-doc-dts-english.pdf
  3. Al-Amin, M., Ali, M. S., Salam, A., Khan, A., Ali, A., Ullah, A., Alam, M. N. & Chowdhury, S. K. (2024). History of generative artificial intelligence (AI) chatbots: Past, present, and future development. arXiv.
  4. Alexiadis, P., & de Streel, A. (2020). Designing an EU intervention standard for digital platforms. Robert Schuman Centre for Advanced Studies Florence School of Regulation. RSCAS 2020/14.
  5. Andreessen, M. (2011). Why software is eating the world. The Wall Street Journal, August 20. Available from: https://www.wsj.com/articles/SB10001424053111903480904576512250915629460
  6. Anthropic. (2024). Claude 3.5 Sonnet, June 21. Available from: https://www.anthropic.com/news/claude-3-5-sonnet
  7. Ardolino, M., Saccani, N., Adrodegari, F. & Perona, M. (2020). A business model framework to characterise digital multisided platforms. Journal of Open Innovation: Technology, Market, and Complexity, 6(1):10.
  8. Arko, B. (2019). Understanding power asymmetry in participatory development spaces: Insights from Ghana's Decent Work Programme. Regional Studies, Regional Science, 6(1):399–404.
  9. Azionya, C. (2022)a. Value creation in the 4IR: Millennials and digital multisided platforms (MSPs). Digital Policy Studies, 1(2):1–17.
  10. Azionya, C.M. (2022)b. The value creation of South African millennial interactions on digital multisided platforms in the Fourth Industrial Revolution (PhD Thesis). Johannesburg: University of Johannesburg. Available from: https://hdl.handle.net/10210/503191
  11. Belleflamme, P. (2020). An introduction to the economics of platform competition – Part 2. IpdigIT, April 14. Available from: http://www.ipdigit.eu/2020/04/an-introduction-to-the-economics-of-platform-competition-part-2/
  12. Belleflamme, P. & Peitz, M. (2021). The economics of platforms: Concepts and strategy. Cambridge: Cambridge University Press.
  13. Braunerhjelm, P. & Eklund, J.E. (2014). Taxes, tax administrative burdens, and new firm formation. Kyklos, 67(1):1‒11.
  14. Büchel, J. & Rusche, C. (2020). Competition in the digital economy: An analysis of gatekeepers and regulations. IW-Policy Paper No. 26/2020. Institut der deutschen Wirtschaft (IW).
  15. Cîrneanu, A.-L., Popescu, D. & Iordache, D. (2023). New trends in emotion recognition using image analysis by neural networks, a systematic review. Sensors, 23(16):7092. Available from: https://doi.org/10.3390/s23167092
  16. Climent, R.C. & Haftor, D.M. (2021). Value creation through the evolution of business model themes. Journal of Business Research, 122:353–361.
  17. Climent, R.C., Haftor, D.M. & Staniewski, M.W. (2024). AI-enabled business models for competitive advantage. Journal of Innovation & Knowledge, 9(3):100532.
  18. Colangelo, G. (2022). Antitrust unchained: The EU's case against self-preferencing. ICLE White Paper. SSRN. Available from: https://doi.org/10.2139/ssrn.4227839
  19. Cropley, A. (2024). The evolution of AI in strategic communication: Exploring the opportunity. Centre for Strategic Communication Excellence. Available from: https://thecsce.com/resources/the-evolution-of-ai-in-strategic-communication-exploring-the-opportunity/
  20. Dehouche, N. (2021). Plagiarism in the age of massive generative pre-trained transformers (GPT-3). Ethics in Science and Environmental Politics, 21:17–23. Available from: https://doi.org/10.3354/esep00195
  21. Doerr, S., Frost, J., Gambacorta, L. & Shreeti, V. (2023). Big techs in finance. BIS Working Papers, No WP1129. Bank for International Settlements. Available from: https://www.bis.org/publ/work1129.pdf
  22. European Commission. (2023). Digital Markets Act: The Commission designates six gatekeepers. Available from: https://ec.europa.eu/commission/presscorner/detail/en/ip_23_4328
  23. Fei, L. (2023). Regulation under administrative guidance: The case of China's forcing interoperability on digital platforms. Computer Law & Security Review, 48(1):105786. Available from: https://doi.org/10.1016/j.clsr.2023.105786
  24. Franck, J.U. & Peitz, M. (2023). Market power of digital platforms. Oxford Review of Economic Policy, 39(1):34‒46. Available from: https://doi.org/10.1093/oxrep/grac045
  25. Gawer, A. (2022). Digital platforms and ecosystems: Remarks on the dominant organisational forms of the digital age. Innovation, 24(1):110–124. Available from: https://doi.org/10.1080/14479338.2022.2036987
  26. Ghodsi, A. (2023), September 1). I run a $38 billion software company. In 10 years, CEOs who don't understand data and AI won't be eligible for the top job in any industry. Business Insider, September 1. Available from https://www.businessinsider.com/databricks-ali-ghodsi-unqualified-ceos-dont-know-ai-data-2023-8
  27. Gilani, T.T. (2025). AI performance optimisation with the latest GPU Servers. Seimaxim, February 17. Available from https://www.seimaxim.com/ai/ai-performance-optimization-with-the-latest-gpu-servers
  28. Gregory, R. W., Henfridsson, O., Kaganer, E. & Kyriakou, H. (2021). The role of artificial intelligence and data network effects in creating user value. Academy of Management Review, 46(3):534–551.
  29. Gu, H. (2023). Data, Big Tech, and the new concept of sovereignty. Journal of Chinese Political Science. Available from: https://doi.org/10.1007/s11366-023-09855-1
  30. Harvard Online. (2023). The benefits and limitations of generative AI: Harvard experts answer your questions. Available from: https://www.harvardonline.harvard.edu/blog/benefits-limitations-generative-ai
  31. Hein, A., Schreieck, M., Riasanow, T., Setzke, D. S., Wiesche, M., Böhm, M., & Krcmar, H. (2020). Digital platform ecosystems. Electronic Markets, 30(1):87‒98. Available from: https://doi.org/10.1007/s12525-019-00377-4
  32. Hernández, A. & Amigó, J.M. (2021). Attention mechanisms and their applications to complex systems. Entropy, 23(3):283. Available from: https://doi.org/10.3390/e23030283
  33. Hilbolling, S., Berends, H., Deken, F. & Tuertscher, P. (2021). Sustaining complement quality for digital product platforms: A case study of the Philips Hue ecosystem. Journal of Product Innovation Management, 38(1):21‒48. Available from: https://doi.org/10.1111/jpim.12551
  34. Hodgson, L. (2024). VCs go vertical in backing specialised AI. PitchBook. Available from https://pitchbook.com/news/articles/vertical-ai-vc
  35. Huberty, M. (2015). Awaiting the second big data revolution: From digital noise to value creation. Journal of Industry, Competition and Trade, 15(1):35–47. Available from: https://doi.org/10.1007/s10842-015-0186-x
  36. Hutchinson, C.S. & Treščáková, D. (2022). Tackling gatekeepers’ self-preferencing practices. European Competition Journal, 18(3):567‒590.
  37. Jaakkola, E. (2020). Designing conceptual articles: Four approaches. AMS Review, 10:18–26.
  38. Kajal, K. (2025). Research exposes DeepSeek’s AI training cost is not $6M, it’s a staggering $1.3B. Interesting Engineering, January 31. Available from: https://interestingengineering.com/culture/deepseeks-ai-training-cost-billion
  39. Kalla, D., Smith, N., Samaah, F. & Kuraku, S. (2023). Study and analysis of chat GPT and its impact on different fields of study. International Journal of Innovative Science and Research Technology, 8(3).
  40. Kamnis, S. (2023). Generative pre-trained transformers (GPT) for surface engineering. Surface and Coatings Technology, 202:129680. Available from: https://doi.org/10.1016/j.surfcoat.2023.129680
  41. Kenney, M., & Zysman, J. (2020). The platform economy: Restructuring the space of capitalist accumulation. Cambridge Journal of Regions, Economy and Society, 13(1):55–76. Available from: https://doi.org/10.1093/cjres/rsaa001
  42. Kerber, W., & Schweitzer, H. (2017). Special issue on contracts on digital goods and services: Interoperability in the digital economy. In A. Metzger, H. Schweitzer, R. Janal, & S. Golla (eds). International Journal of Property Information Technology and Electronic Communication, 8(1):39‒58. Available from: https://doi.org/10.2139/ssrn.2922515
  43. Khurana, D., Koli, A., Khatter, K. & Singh, S. (2023). Natural language processing: State of the art, current trends and challenges. Multimedia Tools and Applications, 82(3):3713‒3744. https://doi.org/10.1007/s11042-022-13428-4
  44. Kolade, O., Owoseni, A., & Egbetokun, A. (2023). Frenemy of progress? Investigation of the disruptive impacts of generative pre-trained transformers (GPT) on learning and assessment in higher education. Paper presented at the British Academy of Management Annual Conference 2023, September. University of Sussex, Brighton, UK.
  45. Kolt, N. (2024). Governing AI agents. Available from: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4772956
  46. Kretschmer, T., Leiponen, A., Schilling, M. & Vasudeva, G. (2022). Platform ecosystems as meta-organisations: Implications for platform strategies. Strategic Management Journal, 43(3):405‒424. Available from: https://doi.org/10.1002/smj.3257
  47. Lianos, I. & Carballa-Smichowski, B. (2022). A coat of many colours – new concepts and metrics of economic power in competition law and economics. Journal of Competition Law & Economics, 18(4):795‒831. Available from: https://doi.org/10.1093/joclec/nhac002
  48. Lundqvist, B. (2019). Regulating competition in the digital economy. In Competition Law for the Digital Economy. Massachusetts: Edward elgar Publishing, 1‒30.
  49. Market Insider. (2024). Apple ‘over two years’ behind leaders in generative AI, Bloomberg reports. Business Insider, October 21. Available from: https://markets.businessinsider.com/news/stocks/apple-over-two-years-behind-leaders-in-generative-ai-bloomberg-reports-1033864317
  50. Marx, G.T. (2015). Surveillance studies. In International Encyclopaedia of the Social & Behavioural Sciences. 2nd ed. Massachusetts Institute of Technology, 733–741. Available from: https://doi.org/10.1016/B978-0-08-097086-8.64025-4
  51. Mayer-Schönberger, V., & Cukier, K. (2013). Big data: A revolution that will transform how we live, work, and think. Boston, Massachusetts: Houghton Mifflin Harcourt.
  52. Meta Llama 3. (2024). Introducing Meta Llama 3: The most capable openly available LLM to date. Meta, April 18. Available from https://ai.meta.com/blog/meta-llama-3/
  53. Montero, J. & Finger, M. (2021). Regulating digital platforms as the new network industries. Competition and Regulation in Network Industries, 22(2):111‒126. Available from: https://doi.org/10.1177/17835917211011567
  54. Moore, S. & Hübscher, R. (2021). Strategic communication and AI: Public relations with intelligent user interfaces. 1st ed. Routledge. Available from: https://doi.org/10.4324/9781003111320
  55. Nelson, G.S. (2019). Bias in artificial intelligence. North Carolina Medical Journal, 80(4):220–222. Available from: https://doi.org/10.18043/ncm.80.4.220
  56. OECD Interim Report. (2018). Digitalisation, business models and value creation. In Tax challenges arising from digitalisation – interim report 2018: Inclusive framework on BEPS.
  57. Overton-de Klerk, N. (2023). Reflections on the current state and future of strategic communication as paradigm and practice. Communicare: Journal for Communication Sciences in Southern Africa, 42(1):4‒21.
  58. Overton-de Klerk, N. & Azionya, C.M. (2020). The world is drowning in COVID-19 communication but isn't much smarter for it. Daily Maverick. October 12. Available from: https://www.dailymaverick.co.za/article/2020-10-12-the-world-is-drowning-in-covid-19-communication-but-isnt-much-smarter-for-it/
  59. Padilla, J., Perkins, J. & Piccolo, S. (2022). Self‐preferencing in markets with vertically integrated gatekeeper platforms. The Journal of Industrial Economics, 70(2):371‒395. Available from: https://doi.org/10.1111/joie.12287
  60. Pichal, S. (2024). Introducing Gemini 2.0: Our new AI model for the agentic era. Google blog. Available from: https://blog.google/technology/google-deepmind/google-gemini-ai-update-december-2024/#ceo-message
  61. Quarta, A. (2020). Narratives of the digital economy: How platforms are challenging consumer law and hierarchical organisation. Global Jurist, 20(2). Available from: https://doi.org/10.1515/gj-2020-0026
  62. Robinson, B & Bhatia, R. (2025). Driving Growth: The impact of digital transformation on African economies. Wilson Centre, January 16. Available from: https://gbv.wilsoncenter.org/article/driving-growth-impact-digital-transformation-african-economies
  63. Roisenzvit, A.B. (2023). From Euclidean distance to spatial classification: Unraveling the technology behind GPT models. Universidad del CEMA.
  64. Sarker, I.H. (2021). Machine learning: Algorithms, real-world applications and research directions. SN Computer Science, 2:160. Available from: https://doi.org/10.1007/s42979-021-00592-x
  65. Shumailov, I., Shumaylov, Z., Zhao, Y., Gal, Y., Papernot, N. & Anderson, R. (2023). The curse of recursion: Training on generated data makes models forget. arXiv preprint arxiv:2305.17493. Available from: https://arxiv.org/abs/2305.17493
  66. Smyrnaios, N. (2016). The GAFAM effect: Strategies and logics of the internet oligopoly. Communication Languages, 188(2):61‒83. Available from: https://doi.org/10.1080/03057070.2016.1182345
  67. Statista. (2024). Artificial intelligence – Worldwide. Available from: https://www.statista.com/outlook/tmo/artificial-intelligence/worldwide
  68. Taherdoost, H. & Madanchian, M. (2023). Artificial intelligence and sentiment analysis: A review in competitive research. Computers, 12(2):37. Available from: https://doi.org/10.3390/computers12020037
  69. Tang, F. & Qian, Z. (2020). Leveraging interdependencies among platforms and complementors in the innovation ecosystem. PLOS ONE, 15(10):e0239972. Available from: https://doi.org/10.1371/journal.pone.0239972
  70. Turner, C. (2015). Re: What is the difference between word type and token? ResearchGate. Available from: https://www.researchgate.net/post/What_is_the_difference_between_Word_Type_and_Token/5640fb975dbbbd13038b4586/citation/download
  71. Umbrello, S. (2024). Beyond computation: The human spirit in the age of AI. Word on Fire. Available from: https://www.wordonfire.org/articles/beyond-computation-the-human-spirit-in-the-age-of-ai/
  72. UNCTAD. (2020). Digital platforms and value creation in developing countries: Implications for national and international policies. Trade and Development Board Intergovernmental Group of Experts on E-commerce and the Digital Economy, Fourth session Geneva, April 29–May 1, 2020. Item 3 of the provisional agenda.
  73. Vannoni, M. & Morelli, M. (2021). Regulation and economic growth: A 'contingent' relationship. Available from: https://cepr.org/voxeu/columns/regulation-and-economic-growth-contingent-relationship
  74. Webster, J. & Watson, R.T. (2002). Analysing the past to prepare for the future: Writing a literature review. MIS Quarterly, 26(2):xiii‒xxiii.
  75. Wilson, H.J. & Daugherty, P.R. (2018). Collaborative intelligence: Humans and AI are joining forces. Harvard Business Review, 96(4):114–123.
  76. World Bank Group. (2024). Digital transformation drives development in Africa. World Bank Group Results Briefs. Available from: https://www.worldbank.org/en/results/2024/01/18/digital-transformation-drives-development-in-afe-afw-africa
  77. WTO. (2023). Ad valorem. Available from: https://www.wto.org/english/thewto_e/glossary_e/glossary_e.htm
  78. Zerfass, A., Verčič, D., Nothhaft, H. & Werder, K. P. (2018). Strategic communication: Defining the field and its contribution to research and practice. International Journal of Strategic Communication, 12(4):487–505. Available from: https://doi.org/10.1080/1553118X.2018.1493485
  79. Zuboff, S., Möllers, N., Wood, D. M. & Lyon, D. (2019). Surveillance capitalism: An interview with Shoshana Zuboff. Surveillance & Society, 17(1/2):257‒266. https://doi.org/10.24908/ss.v17i1/2.13101
How to Cite
GPTs and digital superintermediaries: dynamics, dilemmas, dangers of generative AI – a conceptual framework. (2025). Communicare: Journal for Communication Studies in Africa, 44(1), 92-106. https://doi.org/10.36615/wfx19633

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