Why the real promise of AI is distributing judgment, not replacing it
Highlights
- Firms spent years treating advisory as a knowledge problem: train faster, hire better, buy the right tool. The real obstacle was distribution.
- Between a staff member's uncertainty and the confidence to act sits a long distance, and that gap is where firms lose time, capacity, and talent.
- AI's best job is not out-advising a CPA. It is helping more of the team reach good judgment faster, on top of a sound advisory process.
For years, accounting firms have treated advisory as a knowledge problem. If we could train people faster, hire better talent, and put the right technology in place, then advisory would finally scale.
Plenty of firms have run that experiment and found the same frustrating result: the knowledge was never the main obstacle. The obstacle was distribution.
This piece connects those ideas to the tool everyone keeps asking about, because the real question with AI is not whether it can out-advise a CPA, but whether it can help a firm move judgment out of a few heads and across the whole team.
To dig deeper, visit the original article on the Thomson Reuters blog.