15 articles
AI matches experienced professionals 70-83% of the time. The profession's biggest complaint — that AI gets things wrong — is actually a description of where your professional value lives. The 17-30% where you catch the error, push back, and explain why? That's judgment. And it's the one skill nobody in the profession is developing deliberately.
A cross-border tax research project revealed a material legal error — not because AI got it wrong, but because the back-and-forth dialogue forced both sides to test every assumption. The best use of AI for complex professional work isn't asking questions. It's arguing until the answer survives.
A viral video pitched "clarity as a service" as a brand-new business model. CAS practices have been sitting on this opportunity for years — you already have the data, the trust, and the relationship. Two AI tools make advisory deliverables practical right now.
