The Future of AI in the Workplace | Special Episode (Mike Sullivan and Vinay Gidwaney)

In this special episode, we are joined by Mike Sullivan, Co-Founder and Chief Growth Officer at OneDigital, and Vinay Gidwaney, OneDigital's Chief Product Officer, to discuss their new book, Workforce Intelligence: The People-First Playbook for Leading Your Company Through AI Transformation. Together, they offer a practical, pro-human framework for navigating a future where artificial intelligence becomes deeply embedded in how organizations operate.   We explore why leaders should focus on tasks rather than headcount, how AI can amplify uniquely human capabilities, and why companies may need to rethink how they manage their workforce. Mike and Vinay explain their concepts of reducible and irreducible skills, AI coworkers, workforce intelligence, collaborative AI use, and the importance of building an organizational intelligence layer. They also share practical lessons from OneDigital's own AI transformation—including why leadership activation, trust, reskilling, and a partnership between technical and non-technical leaders are essential.   This conversation offers an alternative to the prevailing narrative of AI-driven job elimination. Instead, it asks a bigger question: if AI can take on more of the work we currently do, what might humans become capable of doing next?   Key Points From This Episode: (0:00:00) Highlights. (0:00:25) Introduction. (0:01:23) Why AI adoption affects employers, employees, and financial markets—and why the conversation is relevant far beyond technology. (0:02:27) Two possible paths for companies: replacing people with AI or using AI to amplify human capabilities. (0:03:53) How PWL is already using AI to help financial planners and portfolio managers work more strategically and serve clients better. (0:06:22) Mike and Vinay's five-year partnership around deploying AI inside OneDigital. (0:09:07) The "radiating red dot": Why Mike's analysis suggested that up to 25% of OneDigital's workforce could be disrupted by AI. (0:11:09) "See faces, not headcount": The decision to pursue transformation by amplifying people rather than simply reducing jobs. (0:12:19) Why Mike and Vinay felt a responsibility to offer a more practical, human-first narrative about AI and work. (0:13:40) Vinay's realization that widespread access to AI makes human differentiation even more important. (0:17:22) Mike's first experience with an AI coworker—and the endless possibilities it unlocked for curiosity and exploration. (0:18:22) Human intelligence versus artificial intelligence: Why AI's greatest value may be its ability to help people think differently. (0:22:19) Why the future of work should be analyzed at the task level rather than through predictions about jobs disappearing. (0:23:58) The coming reskilling challenge—and why the allocation of work between AI and humans needs to be more deliberate. (0:25:12) Why Vinay believes companies that discard their human talent could lose their most important competitive differentiation. (0:26:30) Why AI transformation should be viewed as a "movie, not a snapshot," with work continually being reshaped. (0:28:10) What "workforce intelligence" means: Managing the combined intelligence of human talent and AI talent. (0:30:07) Why Mike and Vinay believe HR—not just IT—must play a central role in leading the transition to a blended workforce. (0:31:54) Reducible versus irreducible skills: Letting AI handle work that can be broken into processes while humans spend more time on judgment, experience, and other "squishy" capabilities. (0:34:10) Applying the framework to financial planning: AI for modeling and information processing, humans for judgment, relationships, and helping clients navigate life decisions. (0:37:00) How AI can reduce meeting preparation from hours to minutes while generating insights that would otherwise be missed. (0:37:48) The importance of trust and communication as employees try to understand what AI means for their future. (0:39:53) The Workforce Intelligence score: Treating AI as talent and measuring the evolving mix of human and AI work. (0:42:09) Transactional versus collaborative AI use—and why collaboration can be more amplifying for both people and organizations. (0:45:40) Why companies need agency over their AI systems and should think carefully about intelligence lock-in. (0:48:47) Codifying organizational intelligence: Building systems where human experti