Every company can buy AI. Not every company can operate it efficiently.

AI models are becoming easier to access.

The same capabilities that once required significant investment can now be integrated into a SaaS product with a few API calls.

So having access to AI is quickly becoming less of a differentiator.

The harder part starts after integration.

How do you control model and infrastructure costs?

How do you monitor AI workloads in production?

How do you handle failures and retries?

How do you manage deployments without disrupting existing customers?

How do you scale usage without letting infrastructure costs grow faster than revenue?

This is where DevOps becomes more important.

Good operational practices give teams the ability to move fast without losing control.

Infrastructure as Code. CI/CD. Observability. Automated rollback. Cost monitoring. Capacity planning.

These aren't exciting features to put in a product demo.

But they become very important when the product has thousands of customers depending on it.

AI may help companies build faster.

Operational excellence will determine whether they can scale profitably.

That's where I think the next competitive advantage will come from.