AGENTIC HUMAN RESOURCES Agentic artificial intelligence is not a tool. It is a new form of organizational decision authority, one that now sources candidates, ranks performance, recommends pay, and shapes succession, often without a human ever reviewing the specific decision at all. Agentic Human Resources treats this shift with the rigor it demands, grounding its argument in established Delaware corporate law, current academic research on bias and algorithmic anxiety, and the author's own consulting practice, rather than in speculation about what artificial intelligence might someday do. Human resource management is being rebuilt from the inside out. Recruiting agents now source and screen candidates. Succession systems refresh continuously rather than once a year. Performance and reward decisions increasingly begin with an algorithm's recommendation before a manager ever sees the file. This is, above all, a book about the HR profession itself. The book extensively covers aspects of Competency Based Human Resources Management, Competency Mapping, Recruiting, Succession Planning, Learning, Mobility, as they evolve different based on Agentic AI. It confronts the claim that HR is dying, and argues the profession is splitting, a transactional version disappearing and a governance centered version growing, commanding a genuine wage premium for practitioners who build the right capability now. It names the job insecurity and algorithmic anxiety this shift produces among HR's own people, and gives CHROs and HR leaders a practical path through it, the manager behavior, culture, and leadership that decide whether a workforce trusts this technology or quietly resists it. Written for HR professionals, consultants, HR leaders, CHROs, and board members who must make these decisions inside real organizations, Agentic Human Resources gives its reader something rare in the current conversation about AI. Dr. Ganesh Shermon, of Andersen, KPMG, (XLRI, MIT Sloan School of Management, MSU) and four decades of consulting and academic teaching in competency based human resource management, builds a complete governance framework, the Algorithmic Charter, showing HR leaders how to extend the discipline they already know, competency dictionaries, behavioral assessment, workforce planning, into the policies, boundaries, audits, and accountability an agentic HR function now requires.