KPMG US Redesigns Audit Training as AI Takes Over Routine Testing
Nearly 1,000 audit and assurance interns have been trained in judgement, fraud detection and critical thinking as the firm prepares for the automation of core junior tasks
KPMG US has redesigned its audit internship programme to place greater emphasis on professional judgement and critical thinking as artificial intelligence assumes a growing share of routine audit work.
Nearly 1,000 audit and assurance interns attended an intensive programme at KPMG Lakehouse, the firm’s US training centre in Florida. The exercises included fraud-detection scenarios, problem-solving challenges and activities designed to test how participants respond when information is incomplete or potentially misleading.
The programme focuses on six areas: technical knowledge, critical thinking, agility, business acumen, interpersonal skills and professional behaviour. KPMG said these capabilities would become more important as auditors move away from repetitive testing and spend more time evaluating information generated by automated systems.
The firm estimates that, within two to three years, auditors may no longer perform some routine procedures involving areas such as payroll and revenue contracts. That prediction is KPMG’s assessment of the likely direction of its audit model rather than an industry-wide timetable.
The shift creates a training problem for the profession. Junior auditors have traditionally developed judgement by working through large volumes of basic testing, learning how transactions are recorded and recognising inconsistencies through repeated exposure. Automating those tasks risks removing an important part of the apprenticeship model.
KPMG’s revised programme attempts to provide alternative opportunities for early-career staff to practise scepticism, investigate anomalies and decide when an AI-generated conclusion requires further examination.
The initiative draws partly on a KPMG and University of Texas study involving 523 early-career professionals. The research divided participants into groups according to whether they improved upon, matched or performed below an AI-generated baseline.
KPMG said the findings showed that effective use of AI depends on the ability to direct, evaluate and refine its output rather than simply accept the first answer produced.
KPMG plans to expand elements of the training beyond audit to its tax and advisory businesses. The programme illustrates how the Big Four are beginning to redesign junior roles as AI changes not only how work is performed, but also how future partners acquire professional experience.
Related Coverage
The Wall Street Journal: Inside KPMG’s AI-era audit training programme
Reports from KPMG Lakehouse and describes the exercises used to develop judgement, scepticism and fraud-detection skills.
KPMG US: Shaping Early-Career Success in the Age of AI
Explains the research underpinning the programme and the firm’s framework for evaluating human performance alongside AI agents.
Business Insider: KPMG revamps internships as AI changes junior work
Provides earlier reporting on the decision to reduce the emphasis on conventional technical instruction during the central internship programme.
KPMG Intern Pulse Survey
Sets out KPMG’s findings on how Generation Z interns expect AI and automation to affect their future roles.
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