MIT researchers challenge assumptions on AI’s role in the workplace, revealing that while AI significantly boosts lower-skilled workers, it may inadvertently hinder top performers by fostering complacency (Forbes, 2025). As workers grapple with their fear of being replaced by AI, their findings urge business leaders and educators to rethink how AI reshapes expertise, ensuring future professionals harness its potential without sacrificing deep knowledge.
For May 2025, here are 12 books from JMU’s print and electronic collections that examine AI's impact on business professionals.
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Offers a framework for understanding the issues and implications of AI for individuals and organizations in this time of significant digital disruption.
This book explores how artificial intelligence, the platform economy, and big data will impact economic development and societal change.
A vivid, fast-paced inside look at financial markets, the people who work on them, and how technology is changing their world (and ours).
Discover AI's role in modern accounting, from audits to corporate governance Use ChatGPT to streamline your accounting tasks with practical hands-on techniques.
Explains how leading business organizations attempt to achieve the responsible and ethical use of AI and other advanced information technologies.
Written by one of the founders of the field of AI safety, this book addresses the nature of intelligence, consciousness, values and knowledge.
An engaging and insightful new take on how to use large language models (LLMs) to find new investment opportunities and make better trading decisions.
This book explores the transformative potential of ChatGPT, Web3, and their impact on productivity and various industries.
Presents a comprehensive framework to explore the value drivers and challenges you might face throughout your AI journey.
An insightful collection of strategies for automating the administration and management of projects.
Explores the interplay between micro-level individual creativity and macro-level organizational innovation through the lens of AI.
The software that runs AI forecasting models can analyze past data and make better prediction about future trends with higher accuracy and confidence.
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