Hacking HR

Hacking HR is a long-running workplace strategy show for people who think human resources now sits close to the center of business transformation. Its recent material is heavily shaped by AI, but the show rarely treats technology as a standalone subject. AI is discussed through the systems it changes: talent marketplaces, management layers, pay equity, global mobility, employee screening, internal large language models, wellness programs, and leadership practice. That gives the show a broad but practical frame. It is less interested in novelty than consequence. Recent solo-style episodes connect AI adoption to research, corporate restructuring, bias risks, and the changing function of middle managers. Interview episodes bring in guests who talk through specific workplace problems, including remote leadership, community building, organizational wellness, and the future of meaningful work. The pacing is deliberate. Questions and explanations often take time to set the context before moving toward a takeaway. That patience is part of the value, especially for listeners who need language they can carry into strategy meetings, people analytics discussions, or executive conversations. A recurring theme is that tools do not rescue weak cultures. They accelerate what is already present. If an organization runs on command and control, AI may make that pattern faster and harsher. If it runs on trust, autonomy, and clarity, the same technology can extend those habits across teams. The show also gives weight to bias as a leadership and design problem, not just a legal or data science issue. Its best moments translate abstract HR language into visible workplace outcomes: who gets opportunity, who feels safe, who is retained, and what happens when invisible managerial work is removed too quickly. The result is thoughtful, grounded, and useful for leaders trying to make sense of work as it is being rebuilt.