To Pay or Not to Pay? Investigating Students’ Willingness to Pay for ChatGPT

Dominika Kuberska

Faculty of Economic Sciences, University of Warmia and Mazury in Olsztyn
https://orcid.org/0000-0001-7100-1017

Klaudia Ruszczyk

Graduate of the Faculty of Economic Sciences, University of Warmia and Mazury in Olsztyn
https://orcid.org/0009-0006-2379-0342


Abstract

Artificial intelligence (AI) is developing at a dynamic pace, playing an increasingly significant role across various sectors, including education. One widely used AI-based tool is ChatGPT, available in both a free version and a subscription-based variant offering extended functionalities. However, while the rapid adoption of such tools by students is well-documented, there remains a significant gap in the literature concerning the economic behaviours governing this new market, particularly regarding the price sensitivity of student users and the factors influencing their decision to convert from free to paid tiers. The existence of a paid version of this tool prompted a study which investigated students’ willingness to incur costs in exchange for additional features, as well as their reactions to potential price changes. The aim of this article is to determine the willingness of economics students to purchase the subscription version of ChatGPT and to analyse their responses to possible price modifications. Moreover, the study addresses the relationship between the perceived quality of the content generated by the tool and students’ willingness to pay for the premium version. A quantitative research approach was employed, based on an online survey (CAWI), in which 342 undergraduate and graduate students participated. The questionnaire included items concerning the frequency of ChatGPT usage, the evaluation of the quality of generated content, and the willingness to purchase the paid version under various pricing scenarios. Statistical methods were applied for data analysis, including measures of central tendency and correlation tests. The results indicate that ChatGPT is widely used among students – 94.4% of respondents reported using the tool, with the majority (88.9%) opting for the free version. The frequency of usage varied. Price sensitivity analysis revealed that a 25% increase in the price of the cheapest subscription would not significantly affect the decisions of most current paid users. However, a 50% price increase would result in 36.1% of them cancelling their subscription, while a 75% increase would lead to a reduction in the number of subscribers by more than half. Conversely, a 25% price decrease in the cheapest paid version would encourage 16.8% of free users to subscribe; a 50% reduction would increase this share to 42.3%, and a 75% reduction could persuade up to 70% of respondents to purchase the subscription. The article also presents the results of a Spearman’s rank correlation analysis, examining the relationship between the perceived quality of ChatGPT’s output and the willingness to purchase the paid version in the event of a price reduction. No significant evidence was found to suggest that individuals who rate the quality of ChatGPT responses more highly are more inclined to subscribe to the paid version if the price decreases.


Keywords:

ChatGPT, artificial intelligence, students, education


Abbas, M., Jam, F.A., & Khan, T.I. (2024). Is it Harmful or Helpful? Examining the Causes and Consequences of Generative AI Usage Among University Students. International Journal of Education Technology in Higher Education, 21(10). https://doi.org/10.1186/s41239-024-00444-7.
Crossref   Google Scholar

Andarsari, F., & Suryadi, N. (2024). Understand the Role of User-Generated Content on Purchase Intention of ChatGPT Premium in Undergraduate Student. International Journal of Research in Business and Social Science, 13(3), 97-108. https://doi.org/10.20525/ijrbs.v13i3.3430.
Crossref   Google Scholar

Arman, M., & Lamiyar, U.R. (2023). Exploring the Implication of ChatGPT AI for Business: Efficiency and Challenges. International Journal of Marketing and Digital Creative, 1(2), 64-84. https://doi.org/10.31098/ijmadic.v1i2.1872.
Crossref   Google Scholar

Baidoo-Anu, D., & Ansah, L.O. (2023). Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning. SSRN. Retrieved from http://dx.doi.org/10.2139/ssrn.4337484 (1.05.2025).
Crossref   Google Scholar

Bankar, R.S., & Lihitkar, S.R. (2023). Artificial Intelligence-Based Utility Tools for Research Communication: A Brief Overview. Proceedings of National Conference, Shivaji University, Kolhapur: Prarup Publication, 251-262. Retrieved from https://www.researchgate.net/profile/Ravindra-Bankar-2/publication/372954879_Artificial_Intelligence-Based_Utility_Tools_for_Research_Communication_A_Brief_Overview/links/64f0442cf850d430c36b0188/Artificial-Intelligence-Based-Utility-Tools-for-Research-Communication-A-Brief-Overview.pdf (1.05.2025).   Google Scholar

Chan, C.K.Y., & Hu, W. (2023). Students’ Voices on Generative AI: Perceptions, Benefits, and Challenges in Higher Education. International Journal of Educational Technology in Higher Education, 20(43). https://doi.org/10.1186/s41239-023-00411-8.
Crossref   Google Scholar

Chan, C.K.Y., & Tsi, L.H.Y. (2024). Will Generative AI Replace Teachers in Higher Education? A Study of Teacher and Student Perceptions. Studies in Educational Evaluation, 83, 101395. https://doi.org/10.1016/j.stueduc.2024.101395.
Crossref   Google Scholar

Cobzaru, P., & Tugui, A. (2024). The Subscription Economy and Its Contribution to the Global Economy. Management Studies, 12(3), 137-145. https://doi.org/10.17265/2328-2185/2024.03.001.
Crossref   Google Scholar

Farazouli, A., Cerratto-Pargman, T., Bolander-Laksov, K., & McGrath, C. (2023). Hello GPT! Goodbye Home Examination? An Exploratory Study of AI Chatbots Impact on University Teachers’ Assessment Practices. Assessment & Evaluation in Higher Education, 49(3), 363-375. https://doi.org/10.1080/02602938.2023.2241676.
Crossref   Google Scholar

Fibich, G., Gavious, A., & Lowengart, O. (2005). The Dynamics of Price Elasticity of Demand in the Presence of Reference Price Effects. Journal of the Academy of Marketing Science, 33, 66-78. https://doi.org/10.1177/0092070304267108.
Crossref   Google Scholar

Gocen, A., & Aydemir, F. (2020). Artificial Intelligence in Education and Schools. Research on Education and Media, 12(1), 13-21. https://doi.org/10.2478/rem-2020-0003.
Crossref   Google Scholar

Hackett, C. (2023). OpenAI’s ChatGPT Plus: An Electronic Resources Librarian’s Review. Journal of Electronic Resources Librarianship, 35(4), 299-314. https://doi.org/10.1080/1941126X.2023.2271373.
Crossref   Google Scholar

Jo, H. (2024). Uncovering the Reasons Behind Willingness to Pay for ChatGPT-4 Premium. International Journal of Human–Computer Interaction, 41(2), 994-1009. https://doi.org/10.1080/10447318.2024.2307692.
Crossref   Google Scholar

Kamalov, F., Santandreu Calonge, D., & Gurrib, I. (2023). New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution. Sustainability, 15(16), 12451. https://doi.org/10.3390/su151612451.
Crossref   Google Scholar

Lupa-Wójcik, I. (2024). Students’ Willingness to Pay for Access to ChatGPT. European Research Studies Journal, XXVII(3), 730-745. https://doi.org/10.35808/ersj/3462.
Crossref   Google Scholar

Milewski, R., & Kwiatkowski, E. (2018). Podstawy ekonomii. Warszawa: Wydawnictwo Naukowe PWN.   Google Scholar

Mohamed, A.M. (2024). Exploring the Potential of an AI-Based Chatbot (ChatGPT) in Enhancing English as a Foreign Language (EFL) Teaching: Perceptions of EFL Faculty Members. Education and Information Technologies, 29, 3195-3217. https://doi.org/10.1007/s10639-023-11917-z.
Crossref   Google Scholar

Rahman, Md.A., Victoros, E., Ernest, J., Davis, R., Shanjana, Y., & Islam, Md.R. (2024). Impact of Artificial Intelligence (AI) Technology in Healthcare Sector: A Critical Evaluation of Both Sides of the Coin. Clinical Pathology, 17:1-5. https://doi.org/10.1177/2632010X241226887.
Crossref   Google Scholar

Stavropoulos, A. (2023). Assessing the Impact of Transitioning to a Freemium Subscription-Based Model on Public Sentiment and the Use of Large Language Models in Sentiment Analysis. Rotterdam: Erasmus University Rotterdam. Retrieved from hdl.handle.net/2105/66699 (1.05.2025).   Google Scholar

Strzelecki, A., & ElArabawy, S. (2024). Investigation of the Moderation Effect of Gender and Study Level on the Acceptance and Use of Generative AI by Higher Education Students: Comparative Evidence from Poland and Egypt. British Journal of Educational Technology, 55(3), 1209-1230. https://doi.org/10.1111/bjet.13425.
Crossref   Google Scholar

Wertenbroch, K., & Skiera, B. (2002). Measuring Consumers’ Willingness to Pay at the Point of Purchase. Journal of Marketing Research, 39(2), 228-241. Retrieved from: http://www.jstor.org/stable/1558488 (1.05.2025).
Crossref   Google Scholar

Zayoud, M., Oueida, S., Awad, P., & Ionescu, S. (2023). Impact of ChatGPT on Education: Challenges and Opportunities. 11th International Conference of Management and Industrial Engineering, 11, 75-82. Retrieved from: https://www.researchgate.net/publication/376707722_IMPACT_OF_CHATGPT_ON_EDUCATION_CHALLENGES_AND_OPPORTUNITIES/link/65aad0def323f74ff1cf02e8/download?_tp=eyJjb250ZXh0Ijp7ImZpcnN0UGFnZSI6InB1YmxpY2F0aW9uIiwicGFnZSI6InB1YmxpY2F0aW9uIn19 (1.05.2025).   Google Scholar

Download


Published
2025-09-30

Cited by

Kuberska, D., & Ruszczyk, K. (2025). To Pay or Not to Pay? Investigating Students’ Willingness to Pay for ChatGPT. Olsztyn Economic Journal, 20(2), 169–183. https://doi.org/10.31648/oej.11625

Dominika Kuberska 
Faculty of Economic Sciences, University of Warmia and Mazury in Olsztyn
https://orcid.org/0000-0001-7100-1017
Klaudia Ruszczyk 
Graduate of the Faculty of Economic Sciences, University of Warmia and Mazury in Olsztyn
https://orcid.org/0009-0006-2379-0342



License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

An Author declares that his paper has not been published before (under the same or another title, or is a part of another publication) and does not infringe copyrights of other persons**. At the same time, the Author transfers to the Publisher the exclusive right to publish and to circulate this work in print in the form of a non-serial journal publication and in a form of an electronic publication.

Author's statement

The journal is available on Creative Common license CC-BY-NC-ND