Companies are starting to put hard caps on AI usage and it's wild.
Uber just capped employees at $1,500/month per AI tool after they burned through their entire 2026 budget by April. Amazon and Walmart are doing the same thing.
The reason? Anthropic and OpenAI switched to token-based billing. Every single prompt now has a price tag attached.
This is the reality check moment for enterprise AI adoption. The "unlimited AI for everyone" party is over. Now it's about ROI per token, usage policies, and actually measuring if these tools are worth what they cost.
If you're building AI products for enterprises, this shift changes everything. Your customers aren't asking "does it work?" anymore. They're asking "how much does each interaction cost and what's the measurable return?"
The companies that figure out high-value, low-token workflows are going to win this next phase.
Uber just capped employees at $1,500/month per AI tool after they burned through their entire 2026 budget by April. Amazon and Walmart are doing the same thing.
The reason? Anthropic and OpenAI switched to token-based billing. Every single prompt now has a price tag attached.
This is the reality check moment for enterprise AI adoption. The "unlimited AI for everyone" party is over. Now it's about ROI per token, usage policies, and actually measuring if these tools are worth what they cost.
If you're building AI products for enterprises, this shift changes everything. Your customers aren't asking "does it work?" anymore. They're asking "how much does each interaction cost and what's the measurable return?"
The companies that figure out high-value, low-token workflows are going to win this next phase.