An insight into the Role of Artificial intelligence, Machine learning, and
Automation in terms of enhancing corporate decision-making, risk
management, and their impact on employment potential
AI automation in accounting/finance

Vivaan Bhikadia

doi:10.46609/IJSSER.2026.v11i09.029

Title: An insight into the Role of Artificial intelligence, Machine learning, and Automation in terms of enhancing corporate decision-making, risk management, and their impact on employment potential AI automation in accounting/finance
Authors: Vivaan Bhikadia
Journal: International Journal of Social Science and Economic Research (IJSSER) ISSN: 2455-8834 Volume: 11 Issue: 9 Publication Date: September 2026 DOI: 10.46609/IJSSER.2026.v11i09.029
\|\| \|\|
Vivaan Bhikadia Bangkok Patana International School
MLA 8 Bhikadia, Vivaan. "An insight into the Role of Artificial intelligence, Machine learning, and Automation in terms of enhancing corporate decision-making, risk management, and their impact on employment potential AI automation in accounting/finance." Int. j. of Social Science and Economic Research, vol. 11, no. 9, Sept. 2026, pp. 4916-4931, doi.org/10.46609/IJSSER.2026.v11i09.029. Accessed Sept. 2026. APA 6 Bhikadia, V. (2026, September). An insight into the Role of Artificial intelligence, Machine learning, and Automation in terms of enhancing corporate decision-making, risk management, and their impact on employment potential AI automation in accounting/finance. Int. j. of Social Science and Economic Research, 11(9), 4916-4931. Retrieved from https://doi.org/10.46609/IJSSER.2026.v11i09.029 Chicago Bhikadia, Vivaan. "An insight into the Role of Artificial intelligence, Machine learning, and Automation in terms of enhancing corporate decision-making, risk management, and their impact on employment potential AI automation in accounting/finance." Int. j. of Social Science and Economic Research 11, no. 9 (September 2026), 4916-4931. Accessed September, 2026. https://doi.org/10.46609/IJSSER.2026.v11i09.029.
References [1] . United Nations Industrial Development Organization. (2026). AI and the future of industry. UNIDO. UNIDO publication [2] . OECD, Boston Consulting Group, & INSEAD. (2025). The adoption of artificial intelligence in firms: New evidence for policymaking. OECD Publishing. https://doi.org/10.1787/f9ef33c3-en. OECD publication [3] . Shaban, O. S., & Omoush, A. (2025). AI-driven financial transparency and corporate governance: Enhancing accounting practices with evidence from Jordan. Sustainability, 17(9), 3818. https://doi.org/10.3390/su17093818. Sustainability article [4] . OECD, Boston Consulting Group, & INSEAD. (2025). The adoption of artificial intelligence in firms: New evidence for policymaking. OECD Publishing. https://doi.org/10.1787/f9ef33c3-en. OECD publication [5] . Kergroach, S., & Héritier, J. (2025). Emerging divides in the transition to artificial intelligence. OECD Regional Development Papers, No. 147. OECD Publishing. https://doi.org/10.1787/7376c776-en. OECD report [6] . Gonzales, J. T. (2023). Implications of AI innovation on economic growth: A panel data study. Journal of Economic Structures, 12, 13. https://doi.org/10.1186/s40008-023-00307-w. Springer article [7] . Tian, Y., Mow, G. L., & Chong, K. M. (2025). Harnessing AI and technological innovation for financial development: The mediating effect of government effectiveness in G20 economies. Humanities and Social Sciences Communications, 12, 1261. https://doi.org/10.1057/s41599-025-05662-6. Nature article [8] . Cui, X., Xu, B., & Razzaq, A. (2022). Can application of artificial intelligence in enterprises promote the corporate governance? Frontiers in Environmental Science, 10, 944467. https://doi.org/10.3389/fenvs.2022.944467. Frontiers article [9] . Hilb, M. (2020). Toward artificial governance? The role of artificial intelligence in shaping the future of corporate governance. Journal of Management and Governance, 24, 851–870. https://doi.org/10.1007/s10997-020-09519-9. Springer article [10] . Bahtiar, D. (2025). The intersection of AI and corporate governance: Legal and economic implications in the digital age. SSRN. SSRN paper [11] . McKinsey & Company. (2023, June 14). The economic potential of generative AI: The next productivity frontier. McKinsey Global Institute. McKinsey report [12] . Gonzales, J. T. (2023). Implications of AI innovation on economic growth: A panel data study. Journal of Economic Structures, 12, 13. https://doi.org/10.1186/s40008-023-00307-w. Springer article [13] . Kalkan, G. (2024). The impact of artificial intelligence on corporate governance. Journal of Corporate Finance Research, 18(2), 17–25. https://doi.org/10.17323/j.jcfr.2073-0438.18.2.2024.17-25. Journal article [14] . Babina, T., & Fedyk, A. (2025, July 1). The effects of AI on firms and workers. Brookings Institution. Brookings article [15] . Artificial intelligence adoption in developing economies: Challenges and opportunities. (2025). ResearchGate. ResearchGate publication [16] . Cucari, N., Laviola, F., & Esposito De Falco, S. (2026). Artificial intelligence in corporate governance domains: A scientometric and content analysis. Corporate Governance. ResearchGate publication [17] . JPMorgan Chase & Co. (2025). 2024 annual report. JPMorgan Chase & Co. JPMorgan Chase annual report [18] . Petno, D. B., & Rohrbaugh, T. (2025). Letter to shareholders: Commercial & Investment Bank. In JPMorgan Chase 2024 annual report. JPMorgan Chase & Co. JPMorgan Chase shareholder letter [19] . J.P. Morgan Asset Management. (2026). Global AI investment opportunities and risk concerns about concentration. J.P. Morgan Asset Management. J.P. Morgan Asset Management [20] . JPMorgan Chase & Co. (2026). 2025 annual report. JPMorgan Chase & Co. JPMorgan Chase annual reports [21] . Reuters. (2026, July 14). JPMorgan profit rises as investment banking boom continues. Reuters. [22] . HSBC Holdings plc. (2025). HSBC and AI. HSBC Holdings plc. HSBC and AI [23] . HSBC Holdings plc. (2025). Transforming HSBC with AI. HSBC Holdings plc. Transforming HSBC with AI [24] . HSBC Holdings plc. (2025). Harnessing the power of AI to fight financial crime. HSBC Holdings plc. HSBC AI and financial crime [25] . Accenture. (n.d.). HSBC powers talent acquisition for a future-ready workforce. Accenture. Accenture HSBC case study [26] . HSBC Holdings plc. (2025). There's a risk in missing the AI opportunity. HSBC Holdings plc. HSBC AI opportunity analysis [27] . HSBC Holdings plc. (2024). Annual report and accounts 2023. HSBC Holdings plc. HSBC annual results [28] . HSBC. (n.d.). Is AI already impacting employment? HSBC Business. HSBC Business article [29] . Unilever PLC. (2025). Annual report and accounts 2024. Unilever PLC. Unilever annual reports [30] . Unilever PLC. (2024). Investor Event 2024: CEO presentation. Unilever PLC. Unilever Investor Event presentation [31] . Unilever PLC. (2024). Investor Event 2024 transcript. Unilever PLC. Unilever Investor Event transcript [32] . Unilever PLC. (2019). Unilever launches new AI-powered talent marketplace. Unilever PLC. Unilever AI-powered talent marketplace [33] . Accenture. (2024, September 5). Unilever and Accenture join forces to establish a new industry standard in generative AI-powered productivity. Accenture. Accenture–Unilever partnership [34] . Rana, T. (2018). The future of HR in the presence of AI: A conceptual study. SSRN. https://doi.org/10.2139/ssrn.3335670. SSRN paper [35] . Suswaram, S., Arcot, P. P., Balasubramanian, J. V., & Muvva, B. B. (2024). Predictive workforce planning: Leveraging AI & ML for optimized HR strategies and employee performance. SSRN. https://doi.org/10.2139/ssrn.5344088. SSRN paper [36] . Benabou, A., Touhami, F., & Sabri, M. A. (2025). Predicting employee turnover using machine learning techniques. Acta Informatica Pragensia, 14(1), 112–127. https://doi.org/10.18267/j.aip.255. ResearchGate copy [37] . Goswami, A. (2025). A case for synergetic integration of AI in the workplace. SSRN. https://doi.org/10.2139/ssrn.5548599. SSRN paper
ABSTRACT: Artificial intelligence (AI), machine learning (ML), and automation are increasingly transforming how corporations make decisions, manage risk, allocate resources, and structure their workforces. As these technologies become more capable, their impact is extending beyond the automation of day to day activities into areas such as corporate governance, financial analysis, regulatory compliance, recruitment, and strategic decision-making. This paper examines the extent to which AI and ML can enhance corporate decision-making and risk management, while also evaluating their potential impact on employment. The research considers how organisations can use AI to process large quantities of data, identify risks, improve forecasting, reduce human error, and increase operational efficiency. Particular attention is given to the experiences of JPMorgan Chase, HSBC, and Unilever to examine how AI has been implemented within major corporations and how its adoption relates to financial performance, productivity, risk management, and workforce changes. However, the paper also considers the limitations and risks associated with AI, including algorithmic bias, data privacy, cybersecurity, lack of transparency, and the difficulty of determining whether improvements in corporate performance can be directly attributed to AI. A central focus of the paper is the impact of AI on employment. While automation creates the possibility that certain repetitive and dataintensive tasks will require fewer employees, AI does not necessarily imply the widespread replacement of human labour. Instead, the evidence indicates that AI may simultaneously eliminate certain tasks, transform existing occupations, and create demand for new technological and analytical skills. Overall, the paper concludes that AI is likely to significantly reshape rather than simply replace the workforce. Although it remains difficult to predict whether its long-term effect will be a net increase or decrease in employment, effective integration between technological capabilities and human skills could allow organisations to capture the benefits of AI while reducing its potential economic and social consequences.

IJSSER is Member of