Navigating the Future of Finance: The Transformative Role of Generative Artificial Intelligence
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Abstract
Generative Artificial Intelligence (GenAI) has the potential to transform the financial services sector by advancing financial modelling, risk assessment, fraud detection, and customer service. This study employs Structured Topic Modelling (STM), a machine learning-based method for analysing unstructured text, to uncover key themes from academic and grey literature. Academic discourse focuses on technical applications, including portfolio optimisation and financial forecasting, while grey literature emphasises ethical risks, regulatory challenges, and operational concerns. The findings reveal that GenAI enhances operational efficiency, optimises risk management, and personalises services. However, challenges related to data security, algorithmic bias, and robust ethical governance persist. Policymakers must develop regulatory frameworks that balance innovation and consumer protection, ensuring privacy, transparency, and accountability. The study identifies five key areas for future research: ethical governance, blockchain integration, employment impacts, AI-driven risk management, and personalised financial services. These insights offer a roadmap for financial institutions, policymakers, and technology providers, highlighting GenAI’s transformative potential while addressing ethical considerations for its responsible deployment.
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References
- Abdelkader, Osama Ahmed. “ChatGPT’s Influence on Customer Experience in Digital Marketing: Investigating the Moderating Roles.” Heliyon 9, no. 8 (2023): e18770. https://doi.org/10.1016/j.heliyon.2023.e18770.
- Accenture. “Banking on AI: Banking Top 10 Trends for 2024.” Accenture. Updated 2024. https://www.accenture.com/content/dam/accenture/final/industry/banking/document/Accenture-Banking-Top-10Trends-2024.pdf
- Agarwal, Rahul, Andreas Kremer, Ida Kristensen, and Angela Luget. “How Generative AI Can Help Banks Manage Risk and Compliance.” McKinsey & Company. Updated March 1, 2024. https://www.mckinsey.com/capabilities/risk-and-resilience/our-insights/how-generative-ai-can-helpbanks-manage-risk-and-compliance.
- Ahramovich, Aleksandr. “AI in Wealth Management: Use Cases, Solutions & Adoption Guidelines.” Itransition, 2023. https://www.itransition.com/ai/wealth-management.
- Ali, Hassnian, and Ahmet Faruk Aysan. “What Will ChatGPT Revolutionize in the Financial Industry?” Modern Finance 1, no. 1 (2023): 116–29. https://doi.org/10.61351/mf.v1i1.67.
- Alotaibi, Emran, and Nadia Nassif. “Artificial Intelligence in Environmental Monitoring: In-Depth Analysis.” Discover Artificial Intelligence 4, no. 1 (2024): 84.
- Ardekani, Aref Mahdavi, Julie Bertz, Cormac Bryce, Michael Dowling, and Suwan Cheng Long. “FinSentGPT: A Universal Financial Sentiment Engine?” International Review of Financial Analysis 94 (2024): 103291.
- Association of Southeast Asian Nations. “ASEAN Guide on AI Governance and Ethics.” ASEAN. Updated 2024. https://asean.org/wp-content/uploads/2024/02/ASEAN-Guide-on-AI-Governance-and-Ethics_beautified_201223_v2.pdf.
- Australian Government Productivity Commission. “Making the Most of the AI Opportunity: AI Raises the Stakes for Data Policy.” Australian Government Productivity Commission, 2024. https://assets.pc.gov.au/2025-10/aipaper3-data.docx?VersionId=2GW50ODo932jjso8TzhMkEC0CsacJPGL.
- Bag, Surajit, Susmi Routray, Tarik Saikouk, and David Roubaud. “Generative AI-Powered Innovation on Data-Driven Financial Decision-Making in Operations and Supply Chain Management: A Moderated Mediation Analysis.” Information Systems Frontiers (2025): 1–30.
- Bai, Xiwen, Xiunian Zhang, Kevin X. Li, Yaoming Zhou, and Kum Fai Yuen. “Research Topics and Trends in the Maritime Transport: A Structural Topic Model.” Transport Policy 102 (March 2021): 11–24. https://doi.org/10.1016/j.tranpol.2020.12.013.
- Ball, Ray. “The Global Financial Crisis and the Efficient Market Hypothesis: What Have We Learned?” Journal of Applied Corporate Finance 21, no. 4 (2009): 8–16.
- Beerbaum, Dirk. “Generative Artificial Intelligence (GAI) with ChatGPT for Accounting – a Business Case.” SSRN Electronic Journal (2023): 1–14. https://doi.org/10.2139/ssrn.4385651.
- Bi, Qian. “Analysis of the Application of Generative AI in Business Management.” Advances in Economics and Management Research 6, no. 1 (2023): 36. https://doi.org/10.56028/aemr.6.1.36.2023.
- Bickford, Jeanne, Rafal Cegiela, Julian King, et al. “GenAI Is about to Transform Banks Front to Back.” Boston Consulting Group, 2024.
- Blei, David M., Andrew Y. Ng, and Michael I. Jordan. “Latent Dirichlet Allocation.” Journal of Machine Learning Research 2 (2003): 993–1022. https://www.jmlr.org/papers/volume3/blei03a/blei03a.pdf.
- Blondeel, Eva, Patricia C. Everaert, and Evelien Opdecam. “Why Do Accounting Students Procrastinate? A Qualitative Analysis Using ChatGPT.” SSRN Electronic Journal, no. November (2023): 1–53. https://doi.org/10.2139/ssrn.4632334.
- Bushell, Chris. “Impacts of ChatGPT on Marketers: A Comprehensive Analysis.” SSRN Electronic Journal (2023). https://doi.org/10.2139/ssrn.4556646.
- Busson, Antonio J. G., Rennan Gaio, Rafael H. Rocha, Francisco Evangelista, Bruno Rizzi, Luan Carvalho, Rafael Miceli, Marcos Rabaioli, and David Favaro. “Saturn Platform: Foundation Model Operations and Generative AI for Financial Services.” Companion Proceedings of the 29th Brazilian Symposium on Multimedia and Web (2023): 85–88. https://doi.org/10.5753/webmedia_estendido.2023.234354.
- Caspi, Itamar, Sarith S. Felber, and Talia B. Gillis. “Generative AI and the Future of Financial Advice Regulation.” GenLaw Center, 2023. https://genlaw.org/CameraReady/19.pdf.
- Chen, Xuhui, Guanghui Cheng, and Yong He. “Mathematical Modeling and Optimization of Platform Supply Chain in the Digital Era: A Systematic Review.” Mathematics 13, no. 17 (2025): 2863.
- Chen, Yifei, Bryan Kelly, and Dacheng Xiu. “Expected Returns and Large Language Models.” NLP SoDaS Conference, November 22, 2023. https://ssrn.com/abstract=4629694.
- Consultative Group on Risk Management (CGRM). “Governance of AI Adoption in Central Banks.” BIS Other (29 January 2025): 1–49.
- Cook, Thomas, Sophia Kazinnik, Anne Hansen, and Peter McAdam. “Evaluating Local Language Models: An Application to Bank Earnings Calls.” The Federal Reserve Bank of Kansas City Research Working Papers. Accessed November 6, 2023. https://doi.org/10.18651/rwp2023-12.
- Cook, Thomas R., Sophia Kazinnik, Anne Lundgaard Hansen, and Peter McAdam. “Evaluating Local Language Models: An Application to Financial Earnings Calls.” Available at SSRN 4627143, 2023.
- Dowling, Michael, and Brian Lucey. “ChatGPT for (Finance) Research: The Bananarama Conjecture.” Finance Research Letters 53 (January 2023): 103662. https://doi.org/10.1016/j.frl.2023.103662.
- de Araujo, Douglas Kiarelly Godoy, Sebastian Doerr, Leonardo Gambacorta, and Bruno Tissot. “Artificial Intelligence in Central Banking.” BIS Bulletin no. 84 (2024). https://www.bis.org/publ/bisbull84.htm.
- European Parliament and the Council of the European Union. “Regulation (EU) 2024/1689 of 13 June 2024 Laying Down Harmonised Rules on Artificial Intelligence … (Artificial Intelligence Act).” (OJ L, 2024/1689, 12 July 2024): 1–144.
- Feng, Ling, Duong Thuy Le, and Fan Yuan. “Inclusion of the RMB in SDRs and the Impossible Trinity in China.” Economic Systems 47, no. 2 (2023). https://doi.org/10.1016/j.ecosys.2022.100941.
- Fishman, Tiffany, Jamia McDonald, Hariharan Murthy, Naman Chaurasia, Joe Mariani, and Pankaj Kishnani. “Realizing the Potential of Generative AI in Human Services: Use Cases to Transform Program Delivery: A Report from the Deloitte Center for Government Insights.” Deloitte, 2023.
- Hartmann, Jochen, Yannick Exner, and Samuel Domdey. “The Power of Generative Marketing: Can Generative AI Reach HumanLevel Visual Marketing Content?” SSRN Electronic Journal (2023). https://doi.org/10.2139/ssrn.4597899.
- Hasan, Tariqul, and Nusrat Jahan. “Artificial Intelligence and Ethical Challenges in Financial Services: A Framework for Responsible Data Governance and Algorithmic Transparency.” International Journal of Data Science, Big Data Analytics, and Predictive Modeling 14, no. 8 (2024): 16–36.
- IBM Institute for Business Value. “The CEO’s Guide to Generative AI.” IBM. Updated October 7, 2024. https://www.ibm.com/thought-leadership/institute-business-value/en-us/report/ceo-generative-ai.
- Infocomm Media Development Authority. “Model AI Governance Framework for Generative AI: Fostering a Trusted Ecosystem.” 2024.
- Jiang, Hanchen, Maoshan Qiang, and Peng Lin. “A Topic Modeling Based Bibliometric Exploration of Hydropower ResearcRenewable and Sustainable Energy Reviews 57 (May 2016): 226–37. https://doi.org/10.1016/j.rser.2015.12.194.
- Joshi, Satyadhar. “Gen AI for Market Risk and Credit Risk: Agentically PowGen AI; Gen AI Agentic Framework for Financial Risk Management. (January 15, 2025) (2025).
- Kalia, Suman. “Potential Impact of Generative Artificial Intelligence (AI) on the Financial Industry.” International Journal on Cybernetics & Informatics 12, no. 6 (2023): 37–51. https://doi.org/10.5121/ijci.2023.120604.
- Khan, Muhammad Salar, and Hamza Umer. “ChatGPT in Finance: Applications, Challenges, and Solutions.” Heliyon 10, no. 2 (2024). https://doi.org/10.1016/j.heliyon.2024.e24890.
- Klenk, Michael. “Ethics of Generative AI and Manipulation: A Design Oriented Research Agenda.” Ethics and Information Technology 26, no. 9 (2024). https://doi.org/10.1007/s10676-024-09745-x.
- KPMG. “The Generative AI Advantage in Financial Services: How Financial Services Executives Can Seize its Potential.” KPMG, 2023. https://kpmg.com/kpmg-us/content/dam/kpmg/pdf/2023/the-gen-ai-advantages-infinancial-services.pdf.
- Krause, David. “Mitigating Risks for Financial Firms Using Generative AI Tools.” SSRN Electronic Journal (2023): 1–22. https://doi.org/10.2139/ssrn.4452600.
- Kshetri, Nir. “The Economics of Generative Artificial Intelligence in the Academic Industry.” Computer 56, no. 8 (2023): 77–83. https://doi.org/10.1109/MC.2023.3278089.
- Kuhn, Kenneth D. “Using Structural Topic Modeling to Identify Latent Topics and Trends in Aviation Incident Reports.” Transportation Research Part C: Emerging Technologies 87 (2018): 105–22. https://doi.org/10.1016/j.trc.2017.12.018.
- Lardi, Kamales. “Converging Generative AI With Blockchain Technology.” Forbes (2023). https://www.forbes.com/sites/forbesbusinesscouncil/2023/06/12/converging-generative-ai-withblockchain-technology/?sh=570550f06112.
- Lopez-Lira, Alejandro, and Yuehua Tang. “Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models.” SSRN Electronic Journal (2023). https://doi.org/10.2139/ssrn.4412788.
- Malkiel, Burton G., and Eugene F. Fama. “Efficient Capital Markets: A Review of Theory and Empirical Work.” Journal of Finance 25, no. 2 (1970): 383–417.
- Markowitz, Harry. “Portfolio Selection.” The Journal of Finance 7, no. 1 (1952): 77–91.
- McKinsey. “The State of AI in 2023: Generative AI’s Breakout Year.” Last modified August 1, 2023. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2023-generative-aisbreakout-year.
- McKinsey & Company. “Beyond the Hype: Capturing the Potential of AI and Gen AI in Tech, Media, and Telecom.” McKinsey & Company. Updated February 22, 2024. https://www.mckinsey.com/industries/technologymedia-and-telecommunications/our-insights/beyond-the-hype-capturingthe-potential-of-ai-and-gen-ai-in-tmt.
- Minz, Nitish Kumar. “Ethical Considerations in AI Applications in Finance: Frameworks, Transparency, Accountability, and Case Studies.” In Risks and Challenges of AI-Driven Finance: Bias, Ethics, and Security, 277–290. IGI Global, 2024.
- Mo, Hongwei, and Shumiao Ouyang. “(Generative) AI in Financial EconomicsJournal of Chinese Economic and Business Studies 23, no. 4 (2025): 509–587.
- Md Arman, and Umama Rashid Lamiya. “Exploring the Implication of ChatGPT AI for Business: Efficiency and Challenges.” Journal of Innovation Information Technology and Application (JINITA) 5, no. 1 (2023): 52–64. https://doi.org/10.35970/jinita.v5i1.1828.
- Mollick, Ethan, and Jim Euchner. “The Transformative Potential of Generative AI.” Research-Technology Management 66, no. 4 (2023): 11–16. https://doi.org/10.1080/08956308.2023.2213102.
- Mutoffar, Muhamad Malik, Sri Kuswayati, Fetty Tri Anggraeny, and Tarsinah Sumarni. “Exploring the Potential of ChatGPT in Improving Online Marketing and Promotion of MSMEs.” Jurnal Minfo Polgan 12, no. 1 (2023): 480–89. https://doi.org/10.33395/jmp.v12i1.12440.
- Neilson, Ben. “Artificial Intelligence Authoring Financial Recommendations: Comparative Australian Evidence.” Journal of Financial Regulation 9, no. 2 (2023): 249–57. https://doi.org/10.1093/jfr/fjad004.
- von Neumann, John, and Oskar Morgenstern. Theory of Games and Economic Behavior. Princeton University Press, 1944.
- Ozili, Peterson. “Artificial Intelligence in Central Banking.” In Industrial Applications of Big Data, AI, and Blockchain, edited by Mahmoud El Samad, Ghalia Nassreddine, Hani El-chaarani, and Sam El Nemar. IGI Global Scientific Publishing, 2024. https://doi.org/10.4018/979-8-3693-10465.ch004.
- Pelster, Matthias, and Joel Val. “Can ChatGPT Assist in Picking Stocks?” Finance Research Letters 59, no. October (2024). https://doi.org/10.1016/j.frl.2023.104786.
- Rane, Nitin, and Saurabh Choudhary. “Role and Challenges of ChatGPT and Similar Generative Artificial Intelligence in Arts and Humanities.” Studies in Humanities and Education 5, no. 1 (2024): 1–11. https://doi.org/10.48185/she.v5i1.999.
- Ranjan, Soups. “GenAI in Financial Services.” Sardine (blog), 2023. https://www.sardine.ai/jp/blog/genai-in-financial-services.
- Rivas, Pablo, and Liang Zhao. “Marketing with ChatGPT: Navigating the Ethical Terrain of GPT-Based Chatbot Technology.” AI (Switzerland) 4, no. 2 (2023): 375–84. https://doi.org/10.3390/ai4020019.
- Roberts, Margaret E., Brandon M. Stewart, Dustin Tingley, Christopher Lucas, Jetson Leder-Luis, Shana Kushner Gadarian, Bethany Albertson, and David G. Rand. “Structural Topic Models for Open-Ended Survey Responses.” American Journal of Political Science 58, no. 4 (October 6, 2014): 1064–82. https://doi.org/10.1111/ajps.12103.
- Romanko, Oleksandr, Akhilesh Narayan, and Roy H. Kwon. “ChatGPT-Based Investment Portfolio Selection.” Operations Research Forum 4, no. 91 (2023): 0–26. https://doi.org/10.1007/s43069-023-00277-6.
- Rufaida, Dien, and Kemil Wachidah. “Literature Study of the Application of Skimming Techniques to Improve Speed Reading Ability in Indonesian Language Lessons for Class V Elementary School Students.” Indonesian Journal of Education Methods Development 3 (August 20, 2018). https://doi.org/10.21070/ijemd.v3i0.586.
- Secretary of State for Science, Innovation and Technology. “A Pro-Innovation Approach to AI Regulation – Government Response to Consultation.” Department for Science, Innovation & Technology. Updated February 6, 2024. https://www.gov.uk/government/consultations/ai-regulation-apro-innovation-approach-policy-proposals/outcome/a-pro-innovationapproach-to-ai-regulation-government-response.
- Shahi, Megan, Adam Conner, and Nicole Alvarez. “Generative AI Should Be Developed and Deployed Responsibly at Every Level for Everyone.” Center for American Progress. Updated February 1, 2024. https://www.americanprogress.org/article/generative-ai-should-be-developed-anddeployed-responsibly-at-every-level-for-everyone/.
- Sharma, Anuj, Nripendra P. Rana, and Robin Nunkoo. “Fifty Years of Information Management Research: A Conceptual Structure Analysis Using Structural Topic Modeling.” International Journal of Information Management 58 (June 2021): 102316. https://doi.org/10.1016/j.ijinfomgt.2021.102316.
- Sharpe, William F. “Capital Asset Prices: A Theory of Market Equilibrium Under Conditions of Risk.” The Journal of Finance 19, no. 3 (1964): 425–42.
- Shevlin, Ron. “Finding the Next Wave to Ride.” Cornerstone Advisors. Updated 2024. https://www.crnrstone.com/hubfs/WGOIB%202024/2024-Whats-Going-On-In-Banking_Cornerstone-Advisors.pdf.
- Skandali, Dimitra, Anastasios Magoutas, and Georgios Tsourvakas. “Artificial Intelligent Applications in Enabled Banking Services: The Next Frontier of Customer Engagement in the Era of ChatGPT.” Theoretical Economics Letters13, no. 05 (2023): 1203–23. https://doi.org/10.4236/tel.2023.135066.
- Sriskandarajah Sathesh. “Generative AI Banking and Financial ServicesAccubits Technologies. Updated August 2023. https://accubits.com/white-papers/Generative-AI-in-Banking-and-Financial-Services-byAccubits.pdf.
- Suryanto, Tulus, Mardhiyah Hayati, and Yeni Susanti. “The Potential of Halal Tourism System on Growth for the Province Lampung’s Tourism Industry.” Journal of Environmental Management and Tourism 13, no. 6 (2022): 1616–28. https://journals.aserspublishing.eu/jemt/article/view/7274.
- Telles, Yen. “Generative AI and Blockchain.” Vention, 2023. https://ventionteams.com/blog/generative-ai-blockchain.
- Thaler, Richard H. “The End of Behavioral Finance.” Financial Analysts Journal 55, no. 6 (1999): 12–17.
- Vargas-Murillo, Alfonso Renato, Ilda Nadia Monica de la Asuncion PariBedoya, and Francisco de Jesús Guevara-Soto. “Challenges and Opportunities of AI-Assisted Learning: A Systematic Literature Review on the Impact of ChatGPT Usage in Higher Education.” International Journal of Learning, Teaching and Educational Research 22, no. 7 (2023): 122–35. https://doi.org/10.26803/ijlter.22.7.7.
- Vidrih, Marko, and Shiva Mayahi. “Generative AI-Driven Storytelling: A New Era for Marketing.” arXiv, 2023. http://arxiv.org/abs/2309.09048.
- Wang, Haijun, Kunyuan Mao, Wanting Wu, and Haohan Luo. “Fintech Inputs, Non-Performing Loans Risk Reduction and Bank Performance Improvement.” International Review of Financial Analysis 90 (2023). https://doi.org/10.1016/j.irfa.2023.102849.
- Wang, Rui. “Research on the Impact of ChatGPT on the Chinas Economy.” Advances in Economics, Management and Political Sciences 58 (2023): 274–82. https://doi.org/10.54254/2754-1169/58/20230931.
- Wenzlaff, Karsten, and Sebastian Spaeth. “Smarter than Humans? Validating How OpenAI’s ChatGPT Model Explains Crowdfunding, Alternative Finance and Community Finance.” SSRN Electronic Journal, December 29, 2022. https://doi.org/10.2139/ssrn.4302443.
- Yunus, Muhammad. “Developing the Students’ Ability in Reading Through Speed Reading Technique at the First Year Students of SMKN 1 Watunohu.” Journal of Teaching and Education 1, no. 2 (December 21, 2022).
- https://doi.org/10.31327/jte.v1i2.1895

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