At the Digital Reskilling Lab, we focus on how organizations can respond effectively to technological disruption by investing in their people. Our research is organized around three core questions that guide our studies across firms, sectors, and geographies. Through data-driven partnerships, we aim to generate practical insights that help organizations build stronger, more adaptable workforces.
How do organizations and workers adapt to new technologies?
As technologies like AI and automation reshape work, firms and workers must adapt. We study how digital tools are integrated into workflows, how roles and tasks evolve, and what enables successful human–machine collaboration. Our goal is to understand the organizational and behavioral drivers that support effective technology adoption.

The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise

Going Mobile-First? The Digital Transformation of Davivienda Bank in Colombia
Why are training programs often ineffective?
Despite widespread investment, many training initiatives fall short. We investigate why—whether due to poor targeting, limited relevance to day-to-day tasks, or weak organizational support. Our research identifies barriers to impact and offers evidence on how firms can design training that leads to meaningful skill development and performance gains.
How should firms structure and implement reskilling programs?
What makes a reskilling program effective? We explore how firms can identify the right employees to target, select relevant content, and structure delivery—whether in-person or digital, individual or cohort-based. We also measure the long-term effects of reskilling on retention, mobility, and productivity, and assess when reskilling offers greater returns than external hiring.

Reskilling in the Age of AI

Designing a Successful Reskilling Program
