Subscription fatigue is driving a fake AI gold rush

Paying $20/month for five different LLM seats is becoming a chore, and I think this "subscription fatigue" is actually fueling the current AI hype cycle. We've shifted from owning software to renting it, and now people are trying to flip the script by building "wrappers" to replace the tools they're tired of paying for, mistakenly believing that low development costs equal a viable business.

Why "low cost to build" isn't a business model

I see two distinct patterns in how people are using AI to build tools right now. The first group builds a utility for themselves—something that solves a specific friction point in their workflow. Since they aren't selling it, the "spaghetti code" doesn't matter as long as the output is correct.

The second group builds a tool, realizes it only took them a few hours and a few dollars in API credits to ship, and assumes that this efficiency means there is a market for it. This is where the delusion kicks in. Reducing the cost of production doesn't automatically create value. If you use Claude 3.5 Sonnet to whip up a PDF parser in an afternoon, you haven't created a company; you've just created a feature.

The gap between software and value

AI hasn't actually democratized software; it has just crashed the price of "commodity code." There is a massive difference between the cost of writing a function and the value that function provides to a customer.

If your "product" is just a UI layer over an API, you are competing on a razor-thin margin because anyone else can do the same thing in a weekend. The real value in software often has nothing to do with the code itself:

• Trust and Brand: People pay for a specific vendor because they trust the security audits or the SLA.
• Proprietary Content: This is the Netflix model. You can build a video streaming interface using a basic React template and a cloud bucket in a few hours, but that doesn't give you a library of licensed content.
• Logistics and Infrastructure: Amazon isn't successful because it has a "storefront" (which is easy to clone); it's successful because it has warehouses and a delivery fleet.

When to actually build versus just paying

I've found that if a tool costs me $15/month but saves me 2 hours of manual work, it's cheaper to keep the subscription than to spend 40 hours building, deploying, and maintaining a "free" alternative.

The "psychosis" happens when developers forget that maintenance is a recurring cost. A "cheap" AI-generated app still requires hosting, API key management, and debugging when the LLM updates its model version and breaks your prompts. If you're building just to avoid a monthly fee, you're often just trading a financial cost for a time cost.