Can generative AI serve as the modern-day white-collar knowledge laborer?

Title

Can generative AI serve as the modern-day white-collar knowledge laborer?

Creator

Ramachandran, Ram B.; Gupta, Chabi

Description

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 whitecollar 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. 2025 by Ram B. Ramachandran and Chabi Gupta. All rights reserved.

Source

Financial Landscape Transformation: Technological Disruptions;pp.185-200

Date

01-01-2025

Publisher

Emerald Publishing

Subject

Automation; Cybersecurity; Generative AI; Responsible AI; Technology; White-collar worker; Workforce development

Coverage

Ramachandran R.B., O.P. Jindal Global University, Sonepat, Haryana, India; Gupta C., Christ University, Bengaluru, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 978-183753750-1; 978-183753751-8;

Format

online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.1108/978-1-83753-750-120251010

https://www.scopus.com/pages/publications/105000789214?origin=resultslist