January: We’re going AI native, please use AI as much as possible.
March: Everyone needs to attend workshops on how to maximize AI productivity.
July: Some models are only available for special (properly justified) cases. Speak to your manager. Turns out that some people did everything (even commits) with top cost models.
August: Ok, we’re setting some limits on token usage, due to some people spending 1000% over the average.
September: we are creating additional frameworks and limits to AI use.
It took a bit of time for the actual AI cost/benefit to reach the top management and put some hard numbers in contrast with the hype machine, but it’s happening.
Everyone who was paying attention even a little bit has known this would be the trajectory from the beginning. And we haven’t even gotten to the crazy price hikes per token that are coming.
Soon, the guys upstairs will realise that the real savings are in replacing the middle management with agents, not replacing the workers. Fingers crossed.
I was a PM at a major now-hyperscaler and one of the engineers on my team was pretty vocal about PM not contributing.
He ended up leaving for a team that didn’t have one. A few years later I happened to be in his new building, he saw me, and came up with this huge grin on his face, “oh wow are you joining our team?”
You always hate the chick writing the specs until you don’t have one any more. 😂
C-Suit are herd animals. Same schools, same country clubs, same conference. They all are formed the same. And they don’t take advise from people who earn a few orders of magnitude less.
I feel like we’re co-workers, with how perfectly that timeline matched the day-job’s progression.
We’re at “did you take the seminar on looping that uses tokens like a firehouse so you can use less tokens? Why are you using too little (/not enough) tokens, and why is it not magically 10x-ing all of your (fucking ansible) config?” Or some shit.
January: We’re going AI native, please use AI as much as possible.
March: Everyone needs to attend workshops on how to maximize AI productivity.
July: Some models are only available for special (properly justified) cases. Speak to your manager. Turns out that some people did everything (even commits) with top cost models.
August: Ok, we’re setting some limits on token usage, due to some people spending 1000% over the average.
September: we are creating additional frameworks and limits to AI use.
It took a bit of time for the actual AI cost/benefit to reach the top management and put some hard numbers in contrast with the hype machine, but it’s happening.
Everyone who was paying attention even a little bit has known this would be the trajectory from the beginning. And we haven’t even gotten to the crazy price hikes per token that are coming.
My company is at the July stage. Who knew giving people unrestricted access to Claude enterpise with no training would blow through budgets in days
Do we work at the same company??
I think this was the standard management reaction across all the companies that embraced AI as if it was the second coming of Jesus Christ.
They thought it was their ticket to fire everybody, and the more they made you use it the sooner they could fire you.
Soon, the guys upstairs will realise that the real savings are in replacing the middle management with agents, not replacing the workers. Fingers crossed.
That will just become a different kind of hell
I don’t doubt that for a second, my friend.
I was a PM at a major now-hyperscaler and one of the engineers on my team was pretty vocal about PM not contributing.
He ended up leaving for a team that didn’t have one. A few years later I happened to be in his new building, he saw me, and came up with this huge grin on his face, “oh wow are you joining our team?”
You always hate the chick writing the specs until you don’t have one any more. 😂
C-Suit are herd animals. Same schools, same country clubs, same conference. They all are formed the same. And they don’t take advise from people who earn a few orders of magnitude less.
Fortunately, the people above them care about numbers, and these don’t add up.
I feel like we’re co-workers, with how perfectly that timeline matched the day-job’s progression.
We’re at “did you take the seminar on looping that uses tokens like a firehouse so you can use less tokens? Why are you using too little (/not enough) tokens, and why is it not magically 10x-ing all of your (fucking ansible) config?” Or some shit.