Research Seminar Series: Professor Jack McGuire

This is a hybrid research seminar at the Asia School of Business, featuring Professor Jack McGuire from Singapore Management University
About this Event

Dear Academic and Corporate Peers,

We are thrilled to invite you to the upcoming session of the Research Seminar Series at the Asia School of Business, featuring Professor Jack McGuire.

Seminar Title:

Working Smarter, Rising Slower? Artificial Intelligence Use and Evaluations of Leadership Potential

Event Details:

📅 Date: 15th July, 2026 (Wednesday)

⏰ Time: 12:30pm to 1:30pm

📍Venue: CR-W3-03, Asia School of Business

💻 Zoom Link: https://asb-my.zoom.us/j/97196008874?pwd=o258yv0v8KsNPkHB92W86AKSDk4Sro.1

Meeting ID: 971 9600 8874

Passcode: 308861

Abstract

Artificial intelligence is increasingly portrayed as essential for future leaders. Yet this research examines a paradox. Although using AI may help employees work more efficiently, it may also change how others judge their potential to lead. Across a series of studies, we investigate whether employees who work with AI are perceived as investing less effort than those who work with human collaborators, and whether this perceived effort discount undermines assessments of leadership potential. The findings suggest that observers may penalize AI-assisted work even when they do not evaluate the quality of the work itself less favorably. This effect appears to be weaker among evaluators with greater AI literacy, who may be better equipped to recognize effort involved in effective AI use. The research speaks to timely questions about AI adoption, talent evaluation, and the future of leadership in organizations.

Speaker Bio

Jack McGuire is an Assistant Professor of Organisational Behaviour and Human Resources at Singapore Management University. His research examines how emerging technologies, leadership, identity, and emotions shape the way people work. His current work explores topics including the intersection between artificial intelligence and leadership, awe in organizations, and how workers imagine their future selves in an AI-mediated workplace.