Conference paper 2025

Adapting to the AI Disruption: Reshaping the IT Landscape and Educational Paradigms

Communications in Computer and Information Science
Conference · Vol. 2261 CCIS · pp. 366-374
Abstract

Artificial intelligence (AI) signals the beginning of a revolutionary period where technological advancement and social change interact to completely reshape economies, work paradigms, and industries worldwide. This essay addresses the opportunities and problems brought about by the AI-driven economy as it examines the effects of AI disruption on the IT sector and information technology education. By comparing the current AI revolution to previous industrial revolutions, we investigate the significant effects of AI technologies on workforce dynamics, employment, and organizational procedures. Human-centered design principles and ethical considerations become crucial requirements for the responsible development and implementation of AI systems in the face of the field’s rapid advancements. IT education programs must change to meet the changing demands of the AI era and give students the skills and competencies they need to succeed in a digital world that is changing quickly. In light of AI-driven automation, we also examine the possible advantages and difficulties of moving to a shorter workweek, emphasizing chances to improve worker productivity, well-being, and work-life balance. We can build a more incslusive and sustainable future for the IT industry and beyond, enhancing human capabilities, advancing collective well-being, and fostering a society where AI serves as a force for good by embracing the opportunities presented by AI while proactively addressing its challenges. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

Keywords

Author Keywords

Artificial intelligence talent development lifelong learning digital transformation future of work Ethical AI Information Technology Education IT Industry Socio-economic Impact

Index Keywords

Students Ethical technology Information technology education Economic analysis Industrial economics Digital transformation Future of works Life long learning Economic and social effects Educational robots Technological advancement Well being Privatization Ethical artificial intelligence IT industry Socio-economic impacts Talent development
Author Affiliations
School of Information Technology, University of Cincinnati, Cincinnati, OH, United States
Cybercrime and Forensic Computing, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Bayern, Germany
Information Systems, Kazakh-British Technical University, Almaty, Kazakhstan
Funding & Acknowledgements
No funding information
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