The Future of the Finance Workforce: How Microsoft Copilot May Reshape Roles and Skillsets
DOI:
https://doi.org/10.47941/ijf.1918Keywords:
Artificial Intelligence (AI), Task Automation, Microsoft Copilot, Fintech, Finance Workforce, Skills TransformationAbstract
Purpose: Artificial intelligence (AI) is rapidly advancing, with tools like Microsoft Copilot poised to significantly change the workplace. This paper examines the potential impact of Copilot adoption on the finance workforce.
Methodology: It analyzes which financial tasks may be susceptible to automation through Copilot's capabilities and identifies the emerging skills that will be crucial for finance professionals to remain competitive in an AI-driven landscape.
Findings: This research provides insights for educators, policymakers, and finance professionals seeking to prepare for the future of work in the finance sector.
Unique contribution to theory, policy and practice: In essence, the future of the finance workforce will be characterized by a dynamic interplay between automation, skill evolution, and ethical considerations. By embracing the transformative potential of Microsoft Copilot and cultivating the necessary skillsets, finance professionals can seize opportunities for innovation, drive value creation, and navigate the evolving landscape of finance with confidence and resilience.
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References
McKinsey Global Institute, "The age of analytics: Competing in a data-driven world," McKinsey & Company, 2023, https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-age-of-analytics-competing-in-a-data-driven-world
J. Bughin, E. Hazan, S. Ramaswamy, M. Chui, T. Allas, P. Dahlström, N. Henke & M. Trench, "Artificial intelligence: The next digital frontier?" McKinsey Global Institute, Jun. (2017). https://www.mckinsey.com/~/media/mckinsey/industries/advanced%20electronics/our%20insights/how%20artificial%20intelligence%20can%20deliver%20real%20value%20to%20companies/mgi-artificial-intelligence-discussion-paper.ashx
Gartner, Inc., "Hype Cycle for Artificial Intelligence," 2023, https://www.gartner.com/en/documents/4011568
World Economic Forum, "The Future of Jobs Report 2023," https://www3.weforum.org/docs/WEF_Future_of_Jobs_2020.pdf
Frey, and M. Osborne, "The Future of Employment: How Susceptible are Jobs to Computerization?," Technological Forecasting and Social Change, vol. 114, pp. 254-280, Jan 2017, https://www.sciencedirect.com/science/article/pii/S0040162516302244
P. Gandhi, S. Khanna, and S. Ramaswamy, "Which industries are the most digital (and why)?" Harvard Business Review, Apr. 2021, https://hbr.org/2016/04/a-chart-that-shows-which-industries-are-the-most-digital-and-why
"AI & Society Journal" Springer, https://www.springer.com/journal/13347
Goodman and S. Flaxman, "European Union Regulations on Algorithmic Decision-Making and a "Right to Explanation,"" AI Magazine, vol. 38, no. 3, pp. 50-57, Fall 2017, https://ojs.aaai.org/index.php/aimagazine/article/view/2852
"Microsoft Copilot documentation," Microsoft, https://learn.microsoft.com/en-us/copilot/
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Copyright (c) 2024 Nikhil Jarunde
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution (CC-BY) 4.0 License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.