@DmytroKrasun Okay, got it!
In the end of the day we can also throw in fun into the equitation because there will be some customer groups who are tricky but we always enjoy most working with them. :)
@DmytroKrasun Because of the word ideal. Generally Iβd approach it like this: if it's friction to acquire or keep a certain customer group, and friction is not worth the net value, I'd assume it's not the ideal customer group.
Imagine a product that a dev might pay 1x, but a trader 20x price
@ElitzaVasileva Make sense!
It's just sometimes easy to forget that the revenue is not the personal income.
That's why as a revenue goal for a company the this exact number seems βrandomβ
@devi_maker@IntelGeoPol@forgebitz You must think that I want to convince you of something, but this is not the case.
I have said before that it is irrelevant because it is made up and unrealistic.
@devi_maker@IntelGeoPol@forgebitz There is no relevance in discussing a 100% replacement by AI because there is no relevance of discussing claims that are not backed by any data or substance.
And yet if you truly believe, then I hope you are preparing for the things you mention and I wish you all success
@IntelGeoPol@forgebitz Still wondering what this assessment of yours means or why it is supposed to be relevant.
There is opinions, and then there is reality.
@IntelGeoPol@forgebitz If you think AI can replace everything so easily, I'm wondering why you don't even check your own claims with AI, could help to add a little substance.
@IntelGeoPol@forgebitz replacing 100% of jobs would be something very problematic but that 100% as well as the time horizon is something you kind of just made up. So I'm not sure where you think your self-discussion leads you to.
@IntelGeoPol@forgebitz Btw Manufacturing is an industry in which losing your job because there's a technology upgrade and you don't promote to a higher role is a known thing. The scale might be different in the future, but it's not like this is a completely new thing. You don't need robots for that.
@forgebitz Depends on the use case, right?
Huge difference between open tasks/discovery or changes at the critical path
The big techs confirm that you are effective with AI when you can trust in its output; that requires gates/controls
@DmytroKrasun Was there a key thing you did to gain more time?
Like heavy (I mean more than average) focus on a certain area: customer self service, automation, work structure or similar?