Book Kevin.
Kevin speaks on the social dimensions of AI-driven work — what happens to people, teams, organizations, and societies when AI fundamentally reshapes our relationship to labor. His talks are grounded in years of ethnographic research with workers navigating AI adoption, and informed by authoring the world's first validated model of the conditions that determine success in AI-driven work.
Invited to Speak By
AI Is Better Than Me. Now What?
Identity, Grief, and the Future of Expertise
What happens to a person when the skills they spent years building become accessible to everyone overnight? This isn't a training problem — it's an identity crisis. Drawing on years of ethnographic research with workers navigating AI adoption, Kevin names what most leaders are afraid to acknowledge: their workers are grieving, and that grief is shaping how they show up, what they resist, and whether AI adoption actually works.
Best for: all-hands meetings, team offsites, practitioner conferences
Who Did This?!
Accountability, Credit, and AI's Breakdown of Team Cohesion
Every functioning team depends on members being able to read each other — judging capability through shared work, inferring trustworthiness from how someone shows up, calibrating how much scrutiny someone's output needs. AI disrupts that foundation. When a teammate's output is an unknown blend of their judgment and an invisible third party, the inferences break in both directions: the work no longer reflects the person, and the person no longer predicts the work. Drawing on his research with workers and teams navigating AI adoption, Kevin shows how this breakdown erodes the social cohesion that teams depend on to function, and what it takes to rebuild it.
Best for: engineering leadership summits, team lead conferences, management offsites
Ashamed, Blamed, Coerced, Displaced
Why Your Organization's AI Investment Is Failing
Organizations have invested trillions in AI. Most aren't seeing returns. The conventional explanation is that the technology isn't ready or workers need more training. Kevin's research shows the opposite: the tools work, workers know how to use them, and the barrier is organizational culture. When organizations adopt AI without updating the norms, accountability structures, and communication that workers depend on, four fears emerge that throttle effective use and block the returns. Kevin names them and lays out what leaders can change.
Best for: executive summits, leadership conferences, C-suite offsites, industry keynotes
What Are We Without Our Work?
AI, Labor, and the Future of the Social Contract
Work isn't just how people earn a living. It's how societies organize themselves, distribute status, and create meaning. AI is reshaping that foundation at a civilizational scale. Drawing on his research into how AI-driven work transforms workers' relationships to labor at every level, Kevin makes the case that the conversation about AI governance needs to start from what work means to people, not what AI can do for productivity. The path through this disruption requires understanding the social dimensions before writing the policy.
Best for: policy conferences, academic symposia, broad industry keynotes, future-of-work events