The AI industry is at a crossroads. While Microsoft, OpenAI, Google and others experiment with paid models, the harsh economics are clear: user payments aren’t covering the massive costs of developing and running these systems.

This financial pressure is driving AI toward the internet’s default business model: advertising. As these companies compete to disrupt search, the temptation to offset costs with ads will only grow.

We’ve seen this play out before. Cory Doctorow’s “enshittification” describes what happens when platforms prioritise advertisers over users: quality declines, manipulation increases, and the original value disappears under profit-driven incentives.

The stakes are arguably higher with AI.

Unlike search or social media, AI isn’t just a content feed—it’s an intermediary, advisor, and cognitive partner. An ad-driven AI won’t just show more promotions; it will shape how information is filtered, prioritised, and framed to serve commercial interests, not your actual needs.

To prevent AI enshittification, we need:

✅ Transparent monetisation—Users should know what (and who) influences recommendations.
✅ Business models aligned with users—Subscription, enterprise solutions, or government-supported infrastructure.
✅ Clear labelling of commercial influence—So users can make informed choices.

For AI to succeed as a paid service, it must deliver undeniable value—solving real problems better than free alternatives, not just offering marginal improvements.

The real question isn’t whether AI is worth paying for, but whether we want systems designed to serve us or to sell to us. The choices we make now will define AI’s future.

What sustainable AI business models do you see that don’t compromise user experience?

#AI #BusinessModels #TechEthics #AIEconomics #Enshittification