The Impact of AI on Financial Professionals

This paper examines the substantial influence of artificial intelligence (AI) on financial professionals, focusing on how AI technologies change jobs and responsibilities in the financial sector. According to the research, AI acts as both a disruptive force and a catalyst for efficiency, requiring professionals to adapt to technological improvements while providing tools to improve decision-making and productivity. The findings are divided into three sections: first, the scope and key components of AI in finance are defined, with a focus on its historical development; second, the transformation of financial roles through automation, data analytics, and risk management is examined; and finally, case studies from various financial institutions demonstrate the practical application of AI technologies. This analysis demonstrates how AI simultaneously challenges and empowers financial professionals, emphasizing the importance of continual learning and skill improvement to survive in an AI-driven economy.

Authors

Institutions

Publication Details

Journal
Journal of Next-Generation Research 5 0
Published
2025-02-12
DOI
https://doi.org/10.70792/jngr5.0.v1i2.84
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of AI on Financial Professionals

Ahmad Al-Harbi
Journal of Next-Generation Research 5 0
FinTech, Crowdfunding, Digital Finance
article

The Impact of AI on Financial Professionals

Ahmad Al-Harbi
article en

Abstract

This paper examines the substantial influence of artificial intelligence (AI) on financial professionals, focusing on how AI technologies change jobs and responsibilities in the financial sector. According to the research, AI acts as both a disruptive force and a catalyst for efficiency, requiring professionals to adapt to technological improvements while providing tools to improve decision-making and productivity. The findings are divided into three sections: first, the scope and key components of AI in finance are defined, with a focus on its historical development; second, the transformation of financial roles through automation, data analytics, and risk management is examined; and finally, case studies from various financial institutions demonstrate the practical application of AI technologies. This analysis demonstrates how AI simultaneously challenges and empowers financial professionals, emphasizing the importance of continual learning and skill improvement to survive in an AI-driven economy.

Journal of Next-Generation Research 5 0
ASA College (US)
Openalex Percentile: Top 97%
FinTech, Crowdfunding, Digital Finance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.