The missing AI revolution: Smarter leadership, not smarter machines, says workforce expert

University of Delaware’s Saleem Mistry argues that artificial intelligence’s real frontier isn’t automation — it’s helping leaders think faster, decide better and reclaim time for what truly matters.

Nov 4, 2025

3 min

Saleem Mistry

Artificial intelligence has transformed industries, but its most overlooked potential lies in helping leaders themselves think more clearly and decide more effectively, according to Saleem Mistry, Associate Professor of Management at the University of Delaware’s Alfred Lerner College of Business & Economics.


Mistry focuses on enabling leaders to be more productive, think clearly and make better decisions.


Focusing on the leader, not just the organization


Mistry’s work examines how leaders at every level can use AI to enhance productivity and decision-making. While most organizational conversations about AI focus on operational efficiency or customer service, he argues that the true frontier is leadership productivity.


“Leadership productivity directly shapes organizational performance. AI can be transformative when it helps leaders think faster, decide better and regain the time they’ve lost to administration.” – Mistry


As a professor of management and leadership, Mistry is often asked how AI will change the workplace. Those conversations usually revolve around automating workflows, not empowering leaders. Yet, as he notes, an MIT report found that 95 percent of generative AI pilots are failing — largely due to the absence of clear business use cases.



That insight shaped his direction: leadership itself may be the missing use case. Having spent much of his earlier career in high technology, Mistry saw firsthand that innovation succeeds or fails based on how effectively leaders model new tools.


Demonstrating practical applications


Mistry recently analyzed the 2024-2025 U.S. Office of Inspector General reports on leadership challenges based. He analyzed each leadership challenge using three guiding questions: 1) Do the problems stem from leaders struggling with time, decisions or task management? 2) How might AI help? 3) Where could AI have the greatest impact?


The results included:


  • Executive Example (Amtrak): AI could power a real-time RACI dashboard to clarify accountability, track decisions and eliminate bottlenecks.
  • Mid-Level Example (EPA): “Agentic AI” could cross-check allegations against verified data before termination decisions, preventing ethical and legal missteps.
  • Supervisor Example (CISA): AI could scan incentive data for waste and anomalies, saving hours of manual review.


Why it matters


By automating repetitive, data-heavy tasks, AI gives leaders something they desperately need: time. Time to think strategically, coach teams and make better decisions. Mistry’s findings link AI adoption directly to mental well-being, arguing that improved decision productivity leads to improved organizational health.


“Decision productivity is business productivity. Organizations that make faster, fairer and more informed decisions outperform those that don’t.” – Mistry


Next steps: Building the framework for responsible AI leadership


Mistry’s next milestone is to develop a set of leadership use cases that can be used by business leaders at all levels where AI can deliver the greatest impact. He is also developing frameworks for responsible AI adoption that help leaders determine when and how to deploy these tools ethically — across decision-making, communication, planning and task management.


“AI won’t replace leaders,” Mistry concludes, “but leaders who learn to use AI effectively will outperform those who don’t.”




ABOUT SALEEM MISTRY


Associate Professor of Management

Alfred Lerner College of Business & Economics


Mistry’s research focuses on the future of work, with a particular emphasis on how individuals navigate workplace transitions. His research explores how people adjust to both minor and major changes in their careers, such as shifts in jobs, responsibilities, teams or entire organizations. A growing area of his expertise is the strategic use of artificial intelligence to enhance productivity for leaders, teams and human resource professionals. His research connects academic insights with practical applications, helping to shape how people and organizations adapt to an evolving professional landscape.


Reporters who would like to speak to Mistry can click on his profile

Connect with:
Saleem Mistry

Saleem Mistry

Associate Professor, Management

Prof. Mistry's research seeks to unpack factors that shape fragmentation and integration within and between leaders, individuals and teams.

Organizational BehaviorTeam ChartersLeadershipMuliteamingTeam Resilience
Powered by

You might also like...

Check out some other posts from University of Delaware

Inside the Italian art heist: Experts explain the global fight to protect cultural heritage featured image

2 min

Inside the Italian art heist: Experts explain the global fight to protect cultural heritage

A lightning-fast art heist in Italy has reignited global concerns about museum security and the protection of cultural heritage. As investigators search for stolen works by some of history’s most celebrated artists, University of Delaware experts are available to help journalists unpack the broader implications. Earlier this month, thieves executed a highly coordinated robbery at the Magnani-Rocca Foundation, stealing paintings by Pierre-Auguste Renoir, Paul Cézanne and Henri Matisse in a matter of minutes. Authorities say the operation was swift, targeted and likely premeditated – highlighting the evolving sophistication of art crime. The theft adds to a growing pattern of high-value art crimes across Europe, raising urgent questions about how institutions safeguard collections and what happens when culturally significant works disappear into illicit markets. UD experts are available to provide context, analysis and on-the-record commentary: Debra Hess Norris Chair, Department of Art Conservation A globally recognized leader in art conservation, Norris specializes in the protection, preservation and recovery of cultural heritage. She can speak to: How museums assess and mitigate security risks What happens after a major art theft The challenges of recovering stolen works in international markets How conservation science supports authentication and repatriation Jessica Horton Associate Professor of Art History Horton’s research examines global art histories and the movement of cultural objects across borders. She can discuss: Why stolen artworks matter beyond their monetary value Cultural ownership, repatriation and ethical considerations How art theft disrupts historical narratives and public access The broader cultural consequences of illicit art trafficking While headlines focus on the dramatic nature of art heists, the deeper story is about the fragility of cultural heritage – and the global effort required to protect it. To speak with Norris or Horton, email mediarelations@udel.edu.

Robotics help solve deep Sea Mysteries featured image

1 min

Robotics help solve deep Sea Mysteries

UD's College of Earth, Ocean and Environment uses robotics currently operated by the National Deep Submergence Facility (NDSF) to study the depths of the ocean. These expeditions ranged from the East Pacific Rise to the Mid-Atlantic Ridge. The vehicles include the Human Occupied Vehicle (HOV) Alvin, the Remotely Operated Vehicle (ROV) Jason and the Autonomous Underwater Vehicle (AUV) Sentry. What it is: A CTD (Conductivity, Temperature, Depth) instrument is a key oceanography tool that collects deep-water samples using remotely triggered Niskin bottles at specific depths. How it helps: These measurements help scientists understand ocean processes, including carbon cycling and life systems, which are essential to understanding Earth’s overall functioning. To find out more or to speak with speak associate professor Andrew Wozniak about this deep-sea technology, reach out to MediaRelations@udel.edu.

Delaware emerges as a test bed for the future of AI in health care featured image

2 min

Delaware emerges as a test bed for the future of AI in health care

Delaware is positioning itself as a “living lab” where academia, health systems and government collaborate to shape the future of artificial-intelligence-enabled health care.  The latest issue of the Delaware Journal of Public Health, guest edited by University of Delaware computer scientists Weisong Shi and Yixiang Deng, brings together 16 articles from researchers, clinicians, policymakers and industry leaders examining how AI and big data are reshaping health care. The issue, debuting this month, balances Delaware-specific topics with broader perspectives, highlighting three levels of impact: what Delaware can expect in the coming years, what other states can learn from Delaware’s approach and how UD research is advancing AI for health through collaborations. “At UD, we don’t work in isolation. We’re working closely with health care systems so that innovation happens together from the beginning,” says Shi, Alumni Distinguished Professor and Chair of UD’s Department of Computer and Information Sciences. Highlights from the issue include: The nation’s first nursing fellowship in robotics – ChristianaCare, Delaware’s largest health system, created an eight-month fellowship to train bedside nurses to conduct applied robotics research. Nurses who completed the program reported higher job satisfaction, improved well-being and greater professional confidence, suggesting programs like this may help retain the bedside workforce and reduce nationwide staffing shortages. Wheelchairs that navigate hospitals on their own – UD researchers developed a prototype autonomous wheelchair that combines onboard sensors and computing with software that interprets spoken directions from users, a step toward moving beyond systems that only work in controlled environments. To operate effectively in health care settings, the researchers say, wheelchairs must be able to navigate crowded hallways, interact with doors and elevators and recover safely when sensors or navigation systems fail. Smarter insulin dosing for type 1 diabetes – Researchers are developing computer models to predict blood sugar (glucose) trends and guide insulin delivery, but must address issues such as noisy data, reliable real-time prediction and the computational limits of wearable devices. A review by UD researchers and colleagues emphasizes the importance of interdisciplinary collaboration, standardized datasets, advances in computational infrastructure and clinical validation to turn these models into practical tools that improve patient care. To interview Shi about AI in health care and the new DJPH issue, click his profile or email MediaRelations@udel.edu. ABOUT WEISONG SHI Weisong Shi is an Alumni Distinguished Professor and Chair of the Department of Computer and Information Sciences at the University of Delaware. He leads the Connected and Autonomous Research Laboratory. He is an internationally renowned expert in edge computing, autonomous driving and connected health. His pioneering paper, “Edge Computing: Vision and Challenges,” has been cited over 10,000 times.

View all posts