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.
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.
