Sep 24, 2026 · 35 min
Enterprises need an AI control plane, not another model
1576: The Future of AI Isn't the Model, It's the Control Plane w/ Jake Tao
As AI spreads through everyday business operations, organizations need a way to govern privacy, compliance, model choice, usage, and costs.
- 1An AI control plane gives enterprises centralized oversight while preserving flexibility across models and vendors.
- 2Clear visibility into token usage and workload costs turns AI governance into a practical business function.
- 3Jake Tao argues founders should start with a real customer problem, test early, and improve through feedback.
Don't miss
Jake explains why token usage and workload-level cost visibility are essential for making enterprise AI financially understandable.
The brief
Jake Tao’s path from teaching himself to code in Hangzhou to founding and selling a business before college frames a conversation about building practical technology.
The core argument is that enterprises need an AI control plane to manage privacy, compliance, model selection, access, and usage rather than depend on one provider.
Cirovex’s Owl Vigil illustrates that approach: a governed environment can route AI requests across models while giving businesses centralized oversight and vendor flexibility.
Jake makes AI costs concrete by discussing token usage and the need to see what images, tasks, and other workloads actually cost as adoption grows.
His founder advice is deliberately operational: identify a genuine problem, start small, test early, and use customer feedback to improve each step.
Featuring
Owl Vigil
HangzhouListen to the full episode and explore every guest, topic, and moment on PodLume.