Dr. Gitonga Muriithi

Artificial intelligence has moved from an information-technology concern to a defining leadership and governance challenge for chief executives and corporate boards. This paper examines how AI is reshaping executive leadership, the composition of the C-suite, and the scope of board oversight, drawing on an integrative review of contemporary governance and management research published between 2024 and 2026. The review synthesizes findings from major global surveys of chief executives, corporate directors, and enterprise leaders to identify convergent and divergent trends in AI adoption, governance maturity, and executive capability. Findings reveal a substantial and persistent gap between organizational AI adoption, which now exceeds eighty-five percent of large enterprises, and board-level AI governance maturity, which remains below forty percent on most measures. The review further identifies four converging capability domains for chief executives, five emerging areas of board oversight responsibility, and the rapid but unevenly documented rise of AI-specific executive roles such as the Chief AI Officer. The paper argues that sustainable competitive advantage will accrue not to organizations that adopt the most artificial intelligence, but to those whose leaders combine such intelligence with human judgment, ethical stewardship, and organizational wisdom. Implications for board composition, director education, and executive development are discussed, alongside directions for future empirical research. Keywords: artificial intelligence; corporate governance; C-suite leadership; board oversight; Chief AI Officer; digital transformation; executive strategy