Four Social Posts from "Cloud AI Is Temporary"

July 2026

The contrarian prediction

Cloud AI is temporary.

Not "we'll use it less" temporary. Actually temporary.

In a few years, the most useful models will run on your device. No internet, no subscription, no company server. That's not a guess, it's embedded engineering, and the timeline gets shorter every six months.

The cloud made sense when compute was expensive and centralized. But that era is ending faster than most people realize.

The question isn't when local AI arrives. It's whether what you're building into AI today will still be yours when it does.

The pattern we've seen before

We've done this handover before.

Early web: your email lived on your hard drive, photos on your device, contacts in a local file. Clumsy but yours.

Then the cloud arrived. Gmail for email. iCloud for photos. Facebook for relationships.

Every time, the pitch was the same: simpler, works everywhere.

That was true. Still is.

What we didn't price in: control of our digital identity. Who we follow, what we search at 2am, what we buy. That data isn't anonymous. It's you, and it lives at someone else's address.

Not a conspiracy. A business model. And we said yes because it was convenient.

With AI, the same move gets sharper. You're not handing over behavior. You're handing over how you think.

What you're actually giving away

When you talk to an AI model about your projects, your hesitations, the way you work through a hard problem, you're not sharing behavior data.

You're sharing your thinking.

Your strategies. Your half-formed ideas. The exact way you break a problem down.

That's the most valuable thing you own.

And right now, most people are streaming it to third-party servers, training data included, because the interface is clean and it mostly works.

The cloud made us forget that convenience has a price. With AI, that price just went up.

A lesson in infrastructure ownership

Here's what I learned building with AI: the platform you start on shapes what you can do later.

Build your workflow on someone else's cloud AI, and when local models arrive (and they will), you start from scratch. Your prompts, your knowledge, your playbooks, all stuck in a system you don't control.

Or you design for ownership from day one. Portable prompts, your data on your terms, tools that work whether the model runs in a datacenter or on your laptop.

This isn't paranoia. It's the same lesson the web taught us with email and photos, just faster and with higher stakes.

Read the full argument: askmojo.ai

Each post stands alone. Together they build a case for thinking differently about where you put your AI work.