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What's the point of trying save time not at the bottleneck though? It makes sense for the bottleneck to maximize the use of AI and invest in learning how to use it/when to use it/when you can't trust it etc. But what happens when you give a tool with great potential for providing incorrect information to a regular Joe that then ends up passing errors down to the bottleneck?

There was a recent report showing that using AI chatbots have only provided a 3% time savings right now. I haven't read it, but based on my current experiences I have definitely seen it waste time downstream. Some of the "time savings" is actually just debt that has to get paid down later. If you're bottleneck isn't the one that has to pay that debt, maybe it is still worth it.
 
What's the point of trying save time not at the bottleneck though? It makes sense for the bottleneck to maximize the use of AI and invest in learning how to use it/when to use it/when you can't trust it etc. But what happens when you give a tool with great potential for providing incorrect information to a regular Joe that then ends up passing errors down to the bottleneck?

There was a recent report showing that using AI chatbots have only provided a 3% time savings right now. I haven't read it, but based on my current experiences I have definitely seen it waste time downstream. Some of the "time savings" is actually just debt that has to get paid down later. If you're bottleneck isn't the one that has to pay that debt, maybe it is still worth it.
It's not making my service desk "faster", but it's drastically improved the quality of communication being sent to my customers. Copilot can translate Gen Z to boardroom just as well as it can Rob.

But you are right at that level it's not as good of a return. It's still a decent investment, but it's not the no brainer it is handing it to me, or anyone like me. I don't think the new people we hire on at that level are getting it, but the managers certainly have it.

That's a decision my customers are making for themselves, they typically start with 1 to 3 seats to give to power players, then push things out from there as they determine changes to their own workflows.
 
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