Ep. 5 AI Subscriptions are rent-seeking traps

AI is starting to look less like a tool you buy… and more like a toll you pay forever.

In this episode, we unpack why so many AI products are drifting toward rent-seeking: usage limits that force upgrades, “must-have” features locked behind higher tiers, pricing that scales faster than the value delivered, and businesses that become dependent on vendors who can change terms overnight. It’s not always malicious—sometimes it’s just the economics of compute—but the result can feel the same: your workflow gets captured, and you’re paying rent to keep your own operations running.

We’ll break down the patterns to watch for, how to audit total cost of ownership (not just the monthly sticker price), and the alternatives that give you leverage: model routing, caching, open-source components, portability, and building “AI infrastructure” you control—so your company doesn’t become a tenant inside someone else’s platform.

In this episode, you’ll learn:

• What rent-seeking looks like in AI products (and why it’s spreading)

• The hidden costs: seats, tokens, overages, rate limits, and lock-in

• How to spot “upgrade pressure” baked into the product design

• When subscriptions are fair vs. when they’re a trap

• How to build leverage: portability, backups, fallbacks, and hybrid stacks

If AI is becoming as essential as electricity, you don’t want your business running on a pricing page you don’t control.