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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM68112
Volume:
10 |
10 |
Oct 2026
Pages:
1-10
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department of BBA
KL University
Department of BBA
KL University
The world of financial services is currently experiencing an enormous structural transformation as a result of rapid technological change, shifts in regulatory frameworks, and new economic trends. This research paper takes a look at the evolution of financial services from basic paper records used in the past to decentralized and artificial intelligence-based ecosystems. The study employs a qualitative secondary research methodology, utilizing 36 secondary and primary sources, including reports from some of the most renowned companies such as McKinsey & Company, Boston Consulting Group, World Economic Forum, CFA Institute, and IBM. As a result, it shows the trilateral influence of such phenomena as Generative AI, real-world asset tokenization, and quantum computing on the evolution of financial infrastructure and corporate jobs. Furthermore, the research findings demonstrate that in the world of finance alone generative AI has the potential to create an estimated annual value of around $200-340 billion. Furthermore, it is forecasted that real-world asset tokenization will take over around $16 trillion of illiquid and private assets by 2030. Thus, many of the traditional financial operations characterized by such manual methods as transaction execution have already found their way into oblivion. In their place, a completely new profession is being created this time.
KEYWORDS
The transformation of global finance represents an unprecedented shift in market infrastructure, operational business models, and workforce dynamics. From paper ledgers and open-outcry pits to autonomous AI networks and real-world asset tokenization, technology has consistently redefined the velocity, accessibility, and efficiency of capital allocation. However, technology does not render human talent obsolete. Instead, it elevates the importance of high-order human capabilities. The future of finance belongs to the 'T-shaped' professional—individuals who seamlessly blend deep financial domain expertise with technical agility, ethical judgment, and strategic insight. By aligning educational frameworks and career development with this hybrid paradigm, the financial industry can harness technological innovation to build a more efficient, inclusive, and resilient global financial system.
21X. (2023). The $16 trillion opportunity: Tokenization of real-world assets and capital markets. 21X Distributed Market Infrastructure. ASA Community. (2023). Tokenized real-world assets and the case for cryptocurrency in institutional finance. ASA Community Publications. Boston Consulting Group [BCG], & ADDX. (2022). Relevance of asset tokenization in illiquid assets. BCG Executive Insights. CAIA Association. (2023). Tokenization of private assets: Unlocking liquidity, transparency, and access in the modern investment landscape. Chartered Alternative Investment Analyst Association. CFA Institute. (2023a). What employers want: A new skills blueprint for investment professionals. CFA Institute Research Institute. CFA Institute. (2023b). AI and investment management: Will robots replace finance professionals? IPFC Academy & CFA Institute. CGAP. (2023). AI's promise: A new era for financial inclusion. CGAP / World Bank Group. Exberry. (2022). Foundations of trading: The evolution of market infrastructure. Exberry Industry Insights. FIA.org. (2023). End of an era: The transition from open-outcry trading floor design to electronic matching. Futures Industry Association. Financial Services Skills Commission [FSSC]. (2023). Future skills architecture for banking and capital markets. FSSC Research. Global Institute of Credit Professionals [GICP]. (2023). The future of roles in finance and capital markets. GICP Industry Whitepaper.
Publication Date
10/19/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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