I've been seeing a lot of AI use cases in accounting lately. Some are great. A lot of them… feel like we're missing the point.
1. Using AI to write emails faster…
instead of reducing how many emails we send
We're optimizing the wrong layer. 😅
2. Using AI to summarize meetings…
but never actually doing anything with it
Now we just have cleaner notes… sitting in a folder somewhere. 🤦♂️
3. Using AI to speed up tax prep…
when the real issue is we're discovering things too late
We're getting faster at being late. 🥴
4. Using AI to draft client responses…
instead of fixing the system that created the confusion in the first place
Feels efficient… but nothing actually improves. 😬
5. Using AI to do more work…
instead of using it to think better
This one might be the biggest trap. 🤯
I don't think AI is just a productivity tool. I think it's a clarity system. It's less about doing more and more about seeing what actually matters earlier.
I've been thinking a lot about this while prepping for a webinar on AI and cognitive load. Feels like we're still very early in how we actually apply this in our day-to-day.
I'm curious what others are seeing. Where is AI actually helping and where does it just feel like more noise?
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Argel Sabillo CPA
Red Bluff CA
2133405689
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