Uploaded September 2026 | Updated September 2026, 3 hours ago
Alumni connections shaped every step of Simon Tener's journey at The Tepper School of Business. In this testimonial, Simon (Class of 2026), an Online Hybrid MBA student, shares how conversations with Tepper alumni first drew him to the program, how the flexibility of the OHMBA let him keep working while pursuing a career change, and how those same alumni connections helped him secure a summer internship in investment banking in New York City, a role he'll return to full time after graduation.
Learn more about the Online Hybrid MBA at the Tepper School of Business: https://cmu.is/3SOj3Sw
Alumni connections shaped every step of Simon Tener's journey at The Tepper School of Business. In this testimonial, Simon (Class of 2026), an Online Hybrid MBA student, shares how conversations with Tepper alumni first drew him to the program, how the flexibility of the OHMBA let him keep working while pursuing a career change, and how those same alumni connections helped him secure a summer internship in investment banking in New York City, a role he'll return to full time after graduation.
Learn more about the Online Hybrid MBA at the Tepper School of Business: https://cmu.is/3SOj3Sw


![Pim Assavabhokhin Speaks About AI and Transactive Memory Systems
Tepper School doctoral student Pim Assavabhokhin speaks with Professor Emily DeJeu about how AI can enhance short-term decision accuracy and transactive memory systems to improve team speed. Still, over-reliance on technology can create a dependency.
Pim Assavabhokhin is a third-year Ph.D. student in Organizational Behavior and Theory at the Tepper School of Business at Carnegie Mellon University. Working with Professor Linda Argote and Professor Catherine Shea, her research examines human AI teaming, focusing on how AI systems help teams maintain and coordinate knowledge when transactive memory systems, or the shared understanding of who knows what, are strong, as well as when they break down. She conducts both laboratory and field experiments to understand how AI can support learning, performance, and knowledge continuity in teams. In a related stream of research, Pim investigates how AI reshapes advice seeking and impression management at work, drawing on network theory to examine whether seeking advice from colleagues undermines perceptions of competence and whether AI can serve as a private alternative that preserves access to information without incurring reputational costs.
Working papers:
Assavabhokhin, A., Shea, C, Argote, L. (2025). Artificial Intelligence and Transactive Memory Systems [Working paper]
Assavabhokhin, A., Shea, C, Argote, L. (2025). Examining the Role of AI in Overcoming Workplace Advice-Seeking Barriers [Working paper]
https://www.tepperspectives.cmu.edu
https://www.cmu.edu/tepper
Hosted by Emily DeJeu
Produced by John Miller and Nick Wright
Music by Christian Wright Pim Assavabhokhin Speaks About AI and Transactive Memory Systems](https://i.ytimg.com/vi/q--GaL9d64Y/mqdefault.jpg)







