HACKER Q&A
📣 Snakes3727

Company is rapidly cutting AI tool spend how to prep team?


Company I work for is now rapidly planning to scale down its AI tooling spend. Claude code access is basically getting removed and people are forbidden from using personal plans.

Reasoning is cost apparently our monthly Claude bill has become astronomical for the org. Nearly 3x our saas's cloud spend.

Apparently we are going to get limited access to codex at severely reduced plans.

I have tried some local models such as Kimi, however most are barely functional.

I am very concerned as the expectation of amount of work done is to remain consistent. Ignoring the fact teams have made entire workflows around Claude I am very worried and frustrated.

How can I help my team ease this transition? Are their local models that run well on local machines that only have 16gb ram?

  👤 xvxvx Accepted Answer ✓
My own company hired a young goon of a man to spearhead their AI initiative. Lots of smiles and arrogance from him. Fast forward 2 months and reality has hit. Weekly meetings asking for feedback draw blank stares as employees explain that Claude can’t do shit to help their workload. This kid is starting to sweat. I bet he’ll be gone by the summer. Hilarious.
👤 baigy
Specifically: to explore your opensource options with compute limitations, ask the community at r/LocalLLaMA on reddit. That's where the current SOTA opensource text-to-text models live.
👤 itg
The 16GB of RAM will really limit you, what about trying OpenRouter and using the cheaper models such as Kimi instead of running them locally?
👤 LogicCraft678
Long term approach is probably to use AI as a tool that boosts productivity
👤 SashaMApps
With Anthropic's prices it soon will be cheper to hire real people then "hire" their models. If you use it for codding I'm pretty sure you will not be able to find any model which can be hosted on local machine and produce more or less acceptable results. Options - use something more cheaper, Deepseek for example, or if company big enough think about hosting some open source on you private DC with GPUs, I know that some companies develop their own solutions, but I don't have good enough expirience to tell how mach it may cost