AI cannot fully replace human code review due to the fundamental differences between code creation and review, as well as the need for context, pedagogy, collaboration, security, and accountability that only human engineers can provide. While AI-powered tools can assist by handling routine scanning tasks and flagging potential issues, they lack the capability to offer the deep understanding, strategic insight, and accountability that human reviewers bring to the table. AI's role is best viewed as an advanced form of continuous integration, offering support rather than serving as the ultimate authority. Human involvement remains crucial to ensure effective code review, foster collaborative learning, and maintain accountability, especially as AI-generated code becomes more prevalent. The future is likely to feature AI-assisted processes with humans maintaining the final decision-making power.