Value, quality, and effectiveness—not cost savings—should define success.

Accounting ARC
With Liz Mason, Donny Shimamoto, and Byron Patrick
Center for Accounting Transformation

Does meaningful AI adoption require scale, budget, and the dedicated innovation teams embedded in large accounting groups? In this episode of Accounting ARC, Donny Shimamoto, CPA.CITP, CGMA; Byron Patrick, CPA.CITP; and Liz Mason, CPA, take on a familiar—but increasingly flawed—narrative in the accounting profession: that large accounting teams will define AI success

The reality, they argue, looks very different on the ground.

MORE Accounting ARC: Accounting’s Hidden Talent Risk: The Sandwich Generation | Built Fast. Sold Faster. Broken Later? The Truth About Accounting Tech | Recognize When You Need to Recharge Before You Burn Out | Valuing More Than the Balance Sheet | Accounting’s “Untalked-About” Frontier | Why Happiness is Hard-Fought for High Achievers | The Fastest Way to Lose Talent Is “Dick Leadership” | Post-Holiday Fatigue Isn’t a Failure; It’s a Signal | OCR, Research Bots & Meeting Assistants: What Actually Helps Now | Return Season is the New Stress Test | Small Firms May Have the Biggest Advantage in 2026 | Downgraded: What the DOE Said About Accounting |

What starts as a reaction to a “big firm” innovation discussion quickly turns into a broader reframing of how small and mid-sized organizations should think about artificial intelligence—not as a race for efficiency, but as an opportunity to increase value, improve quality, and deepen client relationships.

Efficiency Is the Wrong Goal for AI | ARC