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Chronicles

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Some GPT Store developers express disappointment by the lack of users and OpenAI not offering user analytics; OpenAI does not yet let developers charge money

The Information Stephanie Palazzolo

Context & Ripple Effects

The GPT Store’s early developer proposition was incomplete: creators reported limited audience reach, no user analytics and no way to charge. Later coverage shows OpenAI expanded access by making the store and custom-GPT creation free to all users, but that did not by itself establish a mature developer business.

The issue persisted beyond launch. A later invite-only revenue-sharing pilot for a small group of US creators and reports of sluggish adoption for ChatGPT apps indicate that distribution, measurement and monetization remained linked constraints rather than separate product gaps.

First-order effects

  • GPT Store developers cannot reliably assess or improve their products without user analytics, while the absence of paid distribution removes a direct route to revenue.
  • OpenAI has less incentive for creators to invest in maintenance and differentiation until it supplies clearer discovery, measurement or earnings mechanisms.

Second-order effects

  • Developers may prioritize other AI distribution channels or consumer apps where audience data and payments are available, reducing the range and quality of GPT Store offerings.
  • OpenAI faces pressure to turn free access into usable developer economics; the later limited revenue-sharing pilot suggests monetization became a selective rather than broadly available lever.

Third-order effects

  • AI app stores may be judged less by the number of integrations than by whether creators can measure demand and capture value; weak economics can constrain ecosystem depth even as catalogues grow.
  • If this pattern holds, platform owners will increasingly control the terms of AI distribution through access, discovery data and payments, concentrating leverage at the model platform layer.

The trend: Generative-AI platforms are moving from model access toward contested app-store economics, where distribution, analytics and monetization determine developer participation.

Discussion

  • @self.agency @self.agency on bluesky
    buying a nuclear plant to convince people that it's not just a fad and that there's a market for stochastic parrots [embedded post]
  • @gergelyorosz Gergely Orosz on x
    OpenAI is unclear on how monetization works, and so it's dubious if it's worth spending time and energy for anyone interested in building a business. Predictably, this leaves it to hobbyists and companies wanting to advertise their brand/APIs (and perhaps use it to upsell).
  • @gergelyorosz Gergely Orosz on x
    A massive difference between the Apple App Store and OpenAI's App Store is, indeed, monetization. In 2008, when the App Store launched: if you made an app that 1M people bought for $1.49: you made ~$1M. An app that 1M people use on the ChatGPT App Store pays out $???
  • @kristileilani Kristi Hines on x
    @steph_palazzolo @KateClarkTweets Not sure why OpenAI would have a hard time monetizing the GPT store. Poe introduced creator monetization months ago. https://x.com/...
  • @aravsrinivas Aravind Srinivas on x
    While this may sound correct, the reality is an AI Paul Graham bot just doesn't work. If it did, the custom GPTs would have obviously taken off. But it turns out that at least with GPT 4, uploading all his essays is insufficient to replicate him. [image]
  • @steph_palazzolo Stephanie Palazzolo on x
    Remember the GPT Store? Well, developers are afraid OpenAI's forgotten about it too. Once promised to be OpenAI's “app store moment,” the GPT Store has seen low levels of usage with no road to monetization in sight, according to developers we spoke with. https://www.theinformatio…
  • @garymarcus Gary Marcus on x
    Our app store is strugggling, and ChatGPT search still hallucinates, so, I know, let's build an operating system! These guys are flailing. Scoop @theinformation by @steph_palazzolo [image]