A 110-person company getting locked out overnight isn’t just bad support, it exposes a structural risk in today’s AI stack.

One centralized provider controls:

– access (accounts)

– execution (models)

– billing (payments)

Once that single control layer flags you, everything breaks at once:

no login, no visibility, no override but billing still continue.

That’s not enterprise-grade infrastructure. That’s a single point of failure baked into AI workflows.

And as more companies build on AI, this risk compounds.

Now zoom out 👇

We’re seeing massive growth from model and infra giants like NVIDIA ($NVDA ) and Microsoft ($MSFT ), powering the AI boom.

But the deeper question is:

who controls access to that intelligence layer?

If it stays centralized, incidents like this are inevitable.

That’s where decentralized compute networks like @Fluence come in:

– no global shutdown switch

– no org-wide lockouts from one trigger

– permissionless access to compute

AI isn’t just about models anymore.

It’s about who you trust to keep your systems running.

That’s the layer most people are still sleeping on. $FLT