OpenAI's agent usage grew 60x in one year. The infrastructure underneath almost broke.

Temporal just raised $550M at a $12.55B valuation.

Not because it's building AI models.

Because AI agents are failing at production scale and nobody has the plumbing to stop it.

Here's what the press release buried:

OpenAI's usage of Temporal grew 60-fold in under a year.

Snap moves 434 million Stories a day on it.

JPMorgan Chase runs it in regulated production.

And Temporal's revenue is up 200% year-over-year with net dollar retention above 200% since February.

The pattern is clear.

Enterprises are deploying AI agents that run for days, weeks, months.

The demo works in an afternoon.

The production system fails in a week.

Most AI infrastructure was built for experiments, not for agents that need to survive outages, wait for human approval, and recover from failures without losing state.

That's the gap nobody talks about.

Every enterprise deploying AI agents today is gambling on infrastructure that wasn't designed for the workload.

Audit your agent deployment stack.

If your orchestration layer can't survive a 72-hour failure cycle, you don't have a production system.

You have a demo that will break when it matters.