Show Notes
Harvard Business School professor Raffaella Sadun’s research has historically focused on digital reskilling. Now, rapid technological changes — like AI — are reshaping the nature of work. Raffaella’s research has explored how AI might empower those with intermediate expertise, such as store managers and blue-collar workers, to become more efficient and satisfied in their roles. She shares a bit about her research on today’s episode of Me, Myself, and AI and highlights the potential for AI to improve teamwork and innovation by bridging the gaps between different functional teams. Her experiments show that AI can enhance productivity and output quality, sometimes even substituting for team collaboration, while also improving speed and efficiency in problem-solving tasks. Read the episode transcript here. Guest bio: Raffaella Sadun is the Charles E. Wilson Professor of Business Administration at Harvard Business School, where she cochairs the Project on Managing the Future of Work and is coprincipal investigator of the Digital Reskilling Lab. Her research focuses on managerial and organizational drivers of productivity and growth in corporations and the public sector. She cofounded several large-scale projects to measure management practices and managerial behavior in organizations, such as the World Management Survey, the Executive Time Use Study, and U.S. Census Bureau’s Management and Organizational Practices Survey of hospitals. Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Alanna Hooper. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.
More from Me, Myself, and AI
What if artificial intelligence could connect the scattered knowledge across your organization and help you actually use it? Dropbox CTO Ali Dasdan joins Me, Myself, and AI to explain how the company is using AI to bring together information across files, apps, and platforms while navigating the challenges of security, permissions, and “context rot.” He also shares how Dropbox drove the adoption of AI coding tools to nearly 100% of its developers and why human review and guardrails still matter.
A time of crisis often requires the need for ongoing assistance, but many of us struggle with requesting help from others. GoFundMe CEO Tim Cadogan joins us to explain how the fundraising company is using artificial intelligence to make such times easier, drawing on lessons from tens of millions of fundraisers to help people tell their stories and mobilize their communities.
With the acquisition of the Caper cart, a technology-enabled shopping cart, grocery-delivery company Instacart began bridging the gap between online and in-person shopping. On today’s episode, David McIntosh, the company’s former chief connected stores officer, joins host Sam Ransbotham to share how physical AI is helping shoppers track their purchases, retailers manage inventory, and product manufacturers stock the right items at the right times.
Erik Brynjolfsson has a challenge for anyone worried about artificial intelligence: Stop asking what AI will do to us, and start asking what we will do with AI.
Today’s episode, the final one of Season 13, explores how Bank of America is preparing a massive global workforce for an AI future through upskilling and reskilling. Bernard Hampton, head of the financial institution’s Academy, explains how the learning and development organization focuses on workforce agility and a building combination of technical and soft skills.