Comment by this_user
18 hours ago
That is exactly the point. It may be wasteful, but it's the fastest way to explore how AI may actually be useful to your business. Even if 80% of employees are just wasting tokens, you still have 20% who are figuring it out.
That would be 20% who _might_ figure it out. That's essentially R&D spend, which has no guarantee of success.
It is difficult to believe that you can cobra effect yourself into greatness. I'd rather say the most useful perk for companies doing this is the AI-washing adoption metrics they can report, which will hopefully (for them) increase valuations.
Even if that were true it'd mean that current AI usage is overshooting actual, productive use by 5x. This is a problem when all the AI projections are that the current state is the minimum and future usage will be 10+x.
It does mean that, but in a situation where people don't know what the productive use is you have no other option.
It's like that famous quote about advertising that says "Half my ad spend is wasted, but I don't know which half". 20% of token use is useful, but as you don't know which 20% it is you have to spend 5x more to get that knowledge.