Strategic Audit Redesign in the GenAI and Agentic AI Era: Safeguarding Talent and Elevating Professional Judgment

Abstract

The rapid integration of generative artificial intelligence (GenAI) and emerging agentic AI systems is reshaping the audit profession, with significant implications for workforce development, audit methodologies, and human–AI collaboration. Although public narratives often depict AI as a threat to early-career roles, evidence from industry reports and field studies reveals a more nuanced transformation. Firms are reallocating routine, task-based audit work to AI tools, potentially contributing to reduced early-career hiring but simultaneously elevating the cognitive demands placed on auditors. Audit methodologies are also evolving, with AI enhancing risk assessment, journal entry testing, anomaly detection, documentation quality, and emerging assurance domains. These changes support fuller population analysis, greater analytical depth, and richer insights. Across these developments, human–AI collaboration is becoming a defining feature of modern auditing, requiring auditors to supervise, validate, and contextualize AI-generated outputs. This paper synthesizes current research and industry reports to examine how GenAI and agentic AI are transforming audit practice and to identify strategies for preserving talent pipelines while enhancing professional judgment in an AI-enabled audit environment.