Artificial intelligence is reshaping how organizations operate, compete, and make decisions. At the Darla Moore School of Business, faculty are actively advancing how AI is understood and applied—through research, thought leadership, and engagement with real-world business challenges.
Moore School faculty are advancing AI research across a broad range of business disciplines. Their work spans:
How AI changes hiring, pay, leadership, and employee management
AI adoption in banking, lending, and corporate disclosure
AI's role in multinational enterprise strategy, cross-cultural dynamics, and global operations
Reinforcement learning, quality control, procurement, and manufacturing applications
Using ML and deep learning as analytical tools to study culture, trade, and sustainability
How AI affects teaching, learning outcomes, and classroom dynamics
Bias, fairness, greenwashing, and disparate impact in algorithmic decisions
Studying AI itself: its biases, behaviors, decision-making patterns, and organizational impact
The Presidential AI Initiative is growing Moore's research capacity through targeted faculty hires working at the frontier of artificial intelligence and business.
Studies how AI reshapes work, workforce composition, and the development of human capital within organizations.
Focuses on how AI transforms jobs, tasks, and organizational work design.
Darla Moore faculty are shaping how the world understands the impact of artificial intelligence—from global strategy and financial risk to the future of work.
Drawing on a summit with HR scholars and Fortune 500 CHROs, this paper examines how Generative AI is transforming HR practice and outlines a future research agenda across recruiting, compensation, and performance management.
Published — Journal of Management (2025)
How does AI reshape the way multinational enterprises operate, decide, and compete across borders? This paper develops an integrated theoretical framework—centered on agency, learning, and interaction—to examine AI's impact across five core areas of international business.
Working Paper
Using causal methods, this study shows that AI adoption reduces non-performing loan ratios. The benefits are strongest when AI complements human judgment, and more limited in complex lending environments.
Under Review — Management Science (R&R)
The Center for Executive Succession at the Moore School produces applied research in partnership with senior executives and Fortune 500 CHROs. Here are three recent reports examining how AI is reshaping leadership, HR, and the workforce.
As organizations move from experimentation to embedding AI in core operations, leaders face increasing pressure to make high-stakes decisions about technologies they may not fully understand.
This book offers a clear, practical perspective on what leaders must know before deploying AI at scale. It frames AI not as a mysterious breakthrough, but as a managerial technology—one that requires deliberate choices around objectives, data, and governance.
Wolfgang Messner brings more than three decades of experience across industry, consulting, and academia, including roles at Deutsche Bank, BMW Group, and Capgemini.
