Make it make sense
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Give the AI folks that are trying to find oil their own barista so they can do their job effectively.
@a7 For such a project, the company will contract with an EPC to design the plants and related systems. No Chevron engineers will be doing the design. If you haven't worked on a major capital project, I recommend getting involved in one for the valuable experience it provides.
@b4 methinks ELT finally recognized how terrible of a hire LC is. The pedigree of the LT that LC pulled together to do all his dirty work vs everyone else. It’s really no comparison. It is an embarrassment that he’s managing these departments
JG needed something to elevate himself beyond the failing CNE, which has significantly been cut back. Compared to others on the MW leadership team, he has almost nothing left. So it sounds like a rebalancing of scope and nothing more. There power generation play is just for the media.
Every one in this thread is a loser petrotech clutching the keys to their F150s.
All the buzz words under one umbrella.
@an even with IT slash and burn, the budget there is still a lot more than CNE, so your theory doesn’t make sense.
There’s a lot more IT can slash and keep AI. But MW doesn’t think Les is him.
@an AI is not expensive AF for the consumers. The tech companies building and training these models are burning through cash, but that’s not what the consumers are doing. The AI spend at Chevron is a tiny fraction of digital core, triple crown, and the cyber acceleration programs. The compute itself is currently pretty minuscule.
It’s just a messaging play to group the power generation thing with AI. Chevron is not going to be consuming so much power with AI…
Yeah exactly, CNE is the perfect place to put something that will hemorrhage cash and not work very well.
AI currently sits in IT. IT’s top priority is to slash and burn as many apps as possible and save as much money as possible. They are seen as a necessary evil that should be kept small and cheap. Investing in AI will blow their budget.
AI is expensive AF. An all-AI-for-everything strategy is going to cost a LOT of money and show little tangible value. CNE gets to spend gobs of money without showing immediate value in the name of the future. So putting AI under CNE makes sense in a twisted way.
@a5 I have and they ate mostly clueless about their roles lol
We want to build power generation facilities to supply AI needs. But we laid off the technical staff to design the power plants. So we are going to use AI to design the facilities. But training AI to design facilities takes a lot of computing power. So we need to build more power plants to meet the demand for more AI.
Have you met our technology "leaders" ?