Anaconda just fired 14% of its workforce. The reason will make your board uncomfortable.

Anaconda — the company that teaches enterprises how to use AI — just cut 14% of its staff.

Not because revenue fell. Not because of a downturn.

Because AI made them redundant.

CEO David DeSanto said it plainly: "the efficiencies AI provides us are real, and not just in Engineering. We are seeing acceleration across every team."

580 employees. 81 gone. Across every function.

Here's what makes this different from the Oracle or Visa cuts.

Anaconda SELLS AI tools to enterprises. They are the vendor telling your data science team to adopt AI-native workflows.

And their own AI-native workflow just eliminated 14% of their people.

This is the canary in the coal mine. When the company selling AI transformation undergoes the same transformation internally — and calls it a "restructuring of how we work" — you're looking at the new operating model.

The playbook is clear: overlap between teams gets consolidated. Every function gets accelerated by AI. Headcount drops. Remaining employees are expected to deliver more with less.

If your AI vendor is cutting its own workforce because of AI efficiencies, ask yourself which of your roles are next.

Audit your department's AI exposure today. Not next quarter. Today.