This post was originally published on LinkedIn.

AI is probabilistic, so there are lots of "jobs" it should avoid. Example:

I saw someone talking about automating SFDC Campaign member statuses being created based on Campaign Types (e.g. Campaign type = Event > set Statuses to Attended, No Show, etc) using an AI agent.

This is wrong on many levels:

1. This use case is PERFECTLY solved with a lookup table and automation. You do not need AI at all. It is a waste of tokens and $$. Why use the greatest invention in all of humanity to do something you can do with a simple automation? Why pay every time someone creates a campaign when SFDC automation has $0 cost?
2. AI may actually do a WORSE job. AI is probabilistic, meaning that when you say "set Statuses to Attended, No Show for Events" it will likely do that, but there is a small % of the time it may not. It is inconsistent and will reason each time it completes a task. So it may incorrectly reason that this time you actually want a Status as "Stole a Pen from our Booth"

I feel like everyone is a hammer looking for a nail right now.

There are plenty of things in GTM that are perfectly fine being done by good ol fashioned automation.

So as more and more automation capabilities come with AI tools and as Anthropic releases more things like Scheduled jobs, Routines, etc we have to be discerning about what we automate with AI and what we don't.

Not only may you waste a shit load of time building something unnecessary. You may even find it does a worse job than the "boring" automation you tried to replace.

We should all be using this amazing tool on all the use cases it's incredible at and that couldn't be solved before AI.

What are some AI use cases you've seen that were a waste of time?