Authors : Satyadhar Joshi

Volume/Issue : Volume 10 - 2025, Issue 2 - February

Google Scholar : https://tinyurl.com/33vn855z

Scribd : https://tinyurl.com/yyp372j2

DOI : https://doi.org/10.5281/zenodo.14944939

Abstract : This paper explores the transformative impact of Generative AI (GenAI) and Agentic AI on the banking and financial services sector. We examine the current applications, potential benefits, and challenges associated with these technologies, focusing on their role in enhancing productivity, improving customer experiences, and reshaping workforce dynamics. This paper explores the critical need for training older adults in Generative AI (GenAI). While GenAI offers transformative potential across various sectors, ensuring equitable access and adoption requires addressing the specific challenges faced by older populations. These challenges include digital literacy gaps, concerns about data privacy and security, and the need for user-friendly interfaces. The paper examines key considerations for developing effective GenAI training programs for older adults, emphasizing the importance of foundational digital skills, accessible language, personalized learning, and ongoing support. Furthermore, it analyzes future projections of GenAI’s impact, highlighting the necessity of upskilling and reskilling the workforce, including older individuals, to bridge the emerging GenAI skills gap. The paper categorizes and quantifies the types of sources used to support its claims, providing a comprehensive overview of the current state of research and expert opinion on this important topic. By addressing the unique needs of older learners and preparing for the future of GenAI, we can foster digital inclusion and empower all members of society to benefit from this transformative technology. This paper uses the sources published in last six months. This paper examines the impact of Generative AI (GenAI) and Agentic AI on the financial services sector, with a specific focus on workforce training and upskilling. Key findings indicate that by 2027, 80% of the engineering workforce will require AI-related upskilling (Gartner) and AI-driven automation can reduce manual data tasks by up to 80% (West Monroe). In banking, AI adoption has led to tangible productivity gains, such as Capitec Bank employees saving over one hour per week using AI tools. The financial benefits are also significant, with Retrieval-Augmented Generation (RAG) models enhancing profitability and compliance in banking operations. Additionally, this study highlights the digital divide faced by older adults, emphasizing the need for structured AI training programs. The paper categorizes and quantifies recent AI adoption trends, workforce transformation data, and financial efficiency metrics to provide a comprehensive overview of the evolving AI landscape in financial services.

Keywords : Generative AI (GenAI), Agentic AI, Workforce Training, Digital Literacy, AI Adoption.

References :

1. “AI in Banking: Benefits, Risks, What’s Next,” Search Enterprise AI. https://www.techtarget.com/searchenterpriseai/feature/AI-in-banking-industry-brings-operational-improvements.
2. “AI and GenAI.” https://www.moodys.com/web/en/us/capabilities/gen-ai.html.
3. S. Nossis, “The Ultimate Guide to GenAI in Banking,” Payment Components. Aug. 2024.
4. “Generative AI for Banking, Financial Services, and Insurance (BFSI).” https://www.sama.com/generative-ai-for-banking-financial-services-and-insurance-bfsi.
5. “Embracing generative AI in credit risk  McKinsey.” https://www.mckinsey.com/capabilities/risk-and-resilience/our-insights/embracing-generative-ai-in-credit-risk.
6. “Generative AI for Cybersecurity in Financial Services Online Course,” CFTE.
7. “How Agentic AI will transform financial services,” World Economic Forum. https://www.weforum.org/stories/2024/12/agentic-ai-financial-services-autonomy-efficiency-and-inclusion/, Dec. 2024.
8. S. Getty Joel Martin, “GenAI isn’t a threat to your job; agentic AI is,” HFS Research. https://www.hfsresearch.com/research/genai-isnt-threat-job-agentic-ai/, Sep. 2024.
9. B. Jadhav, “How Agentic AI is Redefining Employee Productivity?” Aisera: Best Generative AI Platform For Enterprise. Aug. 2024.
10. “AI Upskilling Strategy  IBM.” https://www.ibm.com/think/insights/ai-upskilling, Aug. 2024.
11. “(5) The GenAI Skills Gap: An urgent challenge requiring immediate attention  LinkedIn.” https://www.linkedin.com/pulse/genai-skills-gap-urgent-challenge-requiring-immediate-georg-langlotz-smfrf/.
12. “Gartner Says Generative AI will Require 80% of Engineering Workforce to Upskill Through 2027,” Gartner. https://www.gartner.com/en/newsroom/press-releases/2024-10-03-gartner-says-generative-ai-will-require-80-percent-of-engineering-workforce-to-upskill-through-2027.
13. “Research: How Important is GenAI Upskilling to the Workforce?” Amdocs. https://www.amdocs.com/insights/research/research-how-important-genai-upskilling-workforce.
14. “GenAI Doesn’t Just Increase Productivity. It Expands Capabilities.” BCG Global. https://www.bcg.com/publications/2024/gen-ai-increases-productivity-and-expands-capabilities, Aug. 2024.
15. “JPMorgan Chase rolls out AI assistant powered by ChatGPT-maker OpenAI.” https://www.cnbc.com/2024/08/09/jpmorgan-chase-ai-artificial-intelligence-assistant-chatgpt-openai.html.
16. “GenAI Enablement Associate - JPMorganChase  Built In NYC.” https://www.builtinnyc.com/job/genai-strategy-enablement-associate/294709.
17. “Capitec Bank employees save more than 1 hour per week with Microsoft 365 Copilot and Azure Open AI  Microsoft Customer Stories.” https://www.microsoft.com/en/customers/story/19093-capitec-bank-azure-open-ai-service.
18. E. C. Bank, “Artificial intelligence: A central bank’s view,” Jul. 2024.
19. “Leveraging Retrieval-Augmented Generation (RAG) in Banking: A New Era of Finance Transformation.” https://revvence.com/blog/rag-in-banking.
20. A. Woodie, “AI Agent Claims 80% Reduction in Time to Complete Data Tasks,” BigDATAwire. https://www.bigdatawire.com/2025/02/04/ai-agent-claims-80-reduction-in-time-to-complete-data-tasks/, Feb. 2025.
21. “Generative AI in Financial Services: Use Cases, Benefits, and Risks.” https://www.alpha-sense.com/blog/trends/generative-ai-in-financial-services/, Nov. 2024.
22. internationalbanker, “Navigating the Generative AI Frontier: Balancing Risk and Workforce Transformation in Banking,” International Banker. Dec. 2024.
23. “AI Agents: Ready to Fight Financial Crime at Your Fingertips.” https://discover.workfusion.com/trynow.
24. S. Glock, “AI Agent Management: Why Proven Experience Matters.” https://www.cognigy.com/product-updates/ai-agent-management.
25. “EY offerings for generative AI in financial services.” https://www.ey.com/en_us/financial-services/generative-ai-financial-services.
26. “How Generative AI Is Shaping The Future Of Finance - Neurond AI.” https://www.neurond.com/blog/generative-ai-in-finance.
27. “GenAI 2024 Survey.” https://kpmg.com/us/en/media/news/gen-ai-survey-august-2024.html.
28. Satyadhar Joshi. "Agentic Generative AI and the Future U.S. Workforce: Advancing Innovation and National Competitiveness." International Journal of Research and Review, 2025; 12(2): 102-113. DOI: 10.52403/ijrr.20250212.
29. Satyadhar Joshi "The Transformative Role of Agentic GenAI in Shaping Workforce Development and Education in the US" Iconic Research And Engineering Journals Volume 8 Issue 8 2025 Page 199-206
30. Satyadhar Joshi, “Generative AI: Mitigating Workforce and Economic Disruptions While Strategizing Policy Responses for Governments and Companies,” IJARSCT, pp. 480–486, Feb. 2025, doi: 10.48175/IJARSCT-23260.
31. Satyadhar Joshi, “A literature review of gen AI agents in financial applications: Models and implementations,” International Journal of Science and Research (IJSR) ISSN: 2319-7064, vol. 14, no. 1, pp. pp–1094, 2025, Available: https://www.ijsr.net/getabstract.php?paperid=SR25125102816
32. "Review of Data Engineering and Data Lakes for Implementing GenAI in Financial Risk", International Journal of Emerging Technologies and Innovative Research,  ISSN:2349-5162, Vol.12, Issue 1, page no. ppe489-e499, January-2025, Available at : http://www.jetir.org/papers/JETIR2501558.pdf
33. Satyadhar Joshi, “ADVANCING FINANCIAL RISK MODELING: VASICEK FRAMEWORK ENHANCED BY AGENTIC GENERATIVE AI,” International Research Journal of Modernization in Engineering Technology and Science, vol. 7, no. 1, pp. 4413–4420, 2025.
34. Satyadhar Joshi, “Enhancing structured finance risk models (leland-toft and box-cox) using GenAI (VAEs GANs),”  International Journal of Science and Research Archive IJSRA, 2025. doi : https://doi.org/10.30574/ijsra.2025.14.1.0306
35. Satyadhar Joshi, “Leveraging prompt engineering to enhance financial market integrity and risk management,” World Journal of Advanced Research and Reviews, vol. 25, no. 1, pp. 1775–1785, 2025.
36. Satyadhar Joshi, “The synergy of generative AI and big data for financial risk: Review of recent developments,” IJFMR-International Journal For Multidisciplinary Research, vol. 7, no. 1, 2025. Available: https://www.ijfmr.com/papers/2025/1/35488.pdf
37. Satyadhar Joshi, “Implementing gen AI for increasing robustness of US financial and regulatory system,” International Journal of Innovative Research in Engineering and Management, vol. 11, no. 6, pp. 175–179, 2025.
38. Satyadhar Joshi, “Using gen AI agents with GAE and VAE to enhance resilience of US markets,” The International Journal of Computational Science, Information Technology and Control Engineering (IJCSITCE), vol. 12, no. 1, pp. 23–38, 2025.