Closing the Skills Intelligence Gap in the AI Era - with Cory Hymel of Andela

Enterprise technical teams often suffer from a significant gap between perceived and actual capabilities, largely because traditional job titles fail to reflect modern skill sets. Cory Hymel, Head of Research at Andela, emphasizes that relying on resumes and titles is an ineffective strategy in the AI era. Instead, organizations must implement granular skills mapping to identify real competencies and address talent gaps. AI adoption thrives as a grassroots phenomenon, where leaders should amplify successful peer-led use cases rather than imposing top-down mandates. Because technical skills now carry a half-life of only two to three years, continuous assessment is critical. Failure to invest in targeted upskilling results in "talent debt," which compounds technical debt and hinders organizational agility. Shifting from role-based to skill-based management allows for better alignment of human and synthetic labor, ultimately driving higher productivity and operational success.