Ramachandran, Ram B and Gupta, Chabi (2025) Can generative AI serve as the modern-day white-collar knowledge laborer? In: Financial Landscape Transformation: Technological Disruptions. Emerald Studies in Finance, Insurance, and Risk Management . Emerald Group Publishing Ltd., pp. 185-200. ISBN 9781837537501
Full text not available from this repository. (Request a copy)Abstract
Purpose: There has been a growing debate on whether generative AI can serve as the modern-day equivalent of white-collar knowledge workers. In a recent post, technology magnate Bill Gates boldly proclaimed that ChatGPT would soon become the quintessential white-collar worker of tomorrow (Dean, 2023). This is indeed an exciting prospect, as generative AI advances at breakneck speed.
Need for the Study: This research delves upon the implications of such advancements for industries reliant on skilled employees. It raises questions about how these individuals will adjust their skillset going forward, given the proliferation of generative AI solutions poised to disrupt traditional roles previously occupied by humans.
Methodology: The study uses an exploratory framework to understand AI’s implications on job roles, productivity, and skill requirements. It introduces generative AI and its relevance, focusing on how it could transform white-collar jobs.
Findings: One thing seems clear: its impact on future employment opportunities. However, this technology still has limitations, potentially leading to unintended consequences. While capable of performing certain functions precisely and accurately, it cannot fully replace the reasoning abilities or cognitive flexibility innate in human workers tasked with knowledge-based work.
Practical Implications: The potential implications for workforce development, policy-making, and future research in AI and labor economics are highlighted. This will also help gain insights into the integration process, benefits, challenges, and the changing nature of white-collar work due to generative AI.
Item Type: | Book Section |
---|---|
Keywords: | Generative AI | White-collar worker | Responsible AI | Cybersecurity | Technology | Automation | Workforce development | O15 | O10 | M54 | J24 |
Subjects: | Social Sciences and humanities > Decision Sciences > Information Systems and Management Physical, Life and Health Sciences > Computer Science Social Sciences and humanities > Social Sciences > Social Sciences (General) Social Sciences and humanities > Social Sciences > Library and Information Science |
JGU School/Centre: | Jindal School of Banking and Finance |
Depositing User: | Dharmveer Modi |
Date Deposited: | 01 Apr 2025 10:26 |
Last Modified: | 01 Apr 2025 10:26 |
Official URL: | https://doi.org/10.1108/978-1-83753-750-120251010 |
URI: | https://pure.jgu.edu.in/id/eprint/9332 |
Downloads
Downloads per month over past year