Our AI spending has gotten so high that layoffs wouldnt make a meaningful difference.

Posted by sassasmebas@reddit | ExperiencedDevs | View on Reddit | 329 comments

I am a manager at a mid sized company (roughly 5k-6k employees), and over the last couple of months our AI spending has absolutely exploded.

What started as a few teams experimenting with AI tools has turned into company wide adoption. Multiple departments are using different AI platforms, some teams have access to premium tiers, and a growing number of workflows now depend on high-end models.
The problem is that the bill keeps climbing every month, and management is becoming increasingly concerned. Our last month bill was close to $1 million dollars.

Leadership has asked us to find ways to reduce costs, but honestly I am struggling to see how that happens without either:

  1. Introducing strict usage caps and quotas
  2. Removing access to the most expensive models altogether and forcing teams onto cheaper alternatives.

The challenge is that once people get used to the performance of the models like claude, its very difficult to convince them to step down to something less capable. Every team is justifying why they need the best model for their use case.

Whats interesting is that during some cost-review discussions, organizational restructuring and even limited layoffs were mentioned as potential ways to improve overall spending. But after looking at the numbers, it became clear that cutting a handful of positions would barely move the needle compared to our AI expenses.

In some cases, the monthly cost of AI for certain groups is approaching the cost of adding new headcount yearly spend.

I’m curious whether anyone else is seeing this. Have AI costs become a major line item at your company? If so, how are you controlling spending without hurting productivity?

Are you using quotas, chargebacks to departments, model restrictions, approval workflows, or something else?