KPMG podcast frames AI as a shift from experimentation to execution

The Season 2 premiere of The AI Reckoning puts Steve Chase and Rob Fisher in conversation with Nathaniel Whittemore about the explosion in agentic capabilities. KPMG’s Season Two framing for You can with AI centers on enterprise AI moving from experimentation to execution.

From AI curiosity to accountability

The shift is from asking whether AI is interesting to asking whether it is safe, measurable, governable, and worth the spend. That is the question KPMG teams are already hearing from clients, and it changes what matters in a client meeting: not the novelty of the model, but whether it fits the operating model, the data environment, and the control structure.

Season Two of You can with AI focuses on what is actually working in enterprise AI, with topics including strategy, data readiness, governance, workforce, and scaling value. That is a useful map for consultants, auditors, and advisers because it mirrors the conversations clients are having when they move from pilots to deployment. The podcast is co-hosted by Nathaniel Whittemore, creator of AI Daily Brief, in collaboration with KPMG U.S., and the format is practical rather than theoretical.

Why the format works inside a big firm

In a firm with packed calendars, changing staffing, and constant pressure to stay billable, a conversational format can make an emerging topic easier to absorb between client work, internal training, and proposal deadlines. AI is not limited to one service line or one tool.

The usefulness for KPMG people is that the episodes can help translate AI from abstract debate into daily behavior. They can clarify how to talk about change management with clients, how to explain role redesign to a team, and how to frame the skills that now matter in delivery. In practice, that means the podcast becomes a supplement to formal learning, especially for managers and early-career professionals who need a fast read on how the firm is thinking before they walk into a meeting.

What the message means for audit, tax, and advisory

For audit professionals, the AI conversation is no longer separate from the assurance conversation. KPMG published AI in financial reporting and audit: Navigating the new era in 2024, along with an AI in Audit Survey report in October 2023 and AI and Internal Audit: Adding Value through Governance, Risk Management, and Controls in May 2024. Taken together, those pieces show that model use, data quality, and governance are moving into the center of audit and internal audit work.

KPMG published Data governance in the age of AI in 2025, identifying data governance as a key roadblock to AI progress. For practitioners, that means AI issues show up where audit teams already live: data lineage, access, documentation, control design, and the reliability of information feeding financial reporting or internal decision-making.

For tax and advisory teams, the change is different but just as immediate. AI can speed research, reshape how client service is delivered, and shift work away from routine production toward higher-value analysis. The practical skill set is broader than technical fluency. It includes:

• strategy and operating model thinking
• data readiness and data governance
• control design and assurance language
• workforce planning and role redesign
• change management that clients can actually execute

KPMG has published pieces such as Enable your organization with KPMG AI Workforce, Ways to Empower Your Workforce with AI Strategies, 3 essentials for effective upskilling, reskilling, and career mobility with AI, and Rethinking Strategic Workforce Planning with AI Agents.

Training is becoming part of the signal

KPMG held AI training for 90 tax interns at Lakehouse in Lake Nona, Florida, in 2025. It shows AI readiness being pushed into the talent pipeline early, not left for partners and directors to figure out later.

For juniors, that can change what good performance looks like. The ability to use AI well will sit alongside the usual markers of professional services readiness: accuracy, responsiveness, judgment, and an understanding of client context. For managers and partners, the test becomes whether they can turn AI into a repeatable way of delivering work without losing quality or control.

Where client-service opportunities are opening up

The most important opportunity is not a generic “AI advisory” pitch. It sits at the intersection of strategy, governance, controls, and execution, which is exactly where KPMG is placing its messaging. KPMG’s AI Governance and Assurance post puts the share of companies looking for third-party controls assurance over AI at 39%. That creates a direct lane for work around trust, testing, and oversight, especially as clients want external validation that their AI systems are being managed responsibly.

The other opening is in helping clients decide what to scale. Season Two of You can with AI focuses on strategy, data readiness, governance, workforce, and scaling value, and that combination is a reminder that many companies still have not connected the dots between ambition and operating reality. AI is now touching delivery, risk, and client expectations across functions, which means KPMG teams are being asked to advise not just on what AI can do, but on how a business can absorb it without breaking its controls, its people model, or its service quality.