New Job Opportunities due to Integration of AI-driven GPTs across Four Industry Sectors - A Futuristic Analysis

Abstract

Purpose: The purpose of this research paper is to explore and analyze the potential job opportunities emerging from the integration of AI-driven Generative Pre-trained Transformers (GPTs) across four key industry sectors: Primary, Secondary, Tertiary, and Quaternary. By examining the transformative impact of these advanced AI technologies, the study aims to provide insights into how AI-driven GPTs can create new roles, reshape existing job functions, and drive innovation within these sectors. This analysis is intended to guide industry stakeholders and policymakers in preparing for and capitalizing on the opportunities presented by AI advancements, ensuring a strategic and inclusive approach to workforce development and economic growth.

Methodology: Exploratory research method is by collecting information using various search engines, AI-driven GPTs, and focus groups interactions and new interpretations are developed by analysing, comparing, and evaluating using various analysis frameworks.

Key-findings: The integration of AI-driven Generative Pre-trained Transformers (GPTs) across various industry sectors, including Primary, Secondary, Tertiary, and Quaternary sectors, is poised to bring about transformative changes in workforce planning, skill requirements, and training. These changes will have far-reaching implications for businesses, employees, and educational institutions.

Implications: The integration of AI-driven GPTs in the four industry sectors is unlocking new job opportunities that bridge traditional industry knowledge with cutting-edge AI capabilities.

Originality/Value: New interpretations are developed by analysing, comparing, and evaluating using various analysis frameworks.

Type of Paper: Exploratory research analysis.