Technology6 min read

OpenAI Builds a ChatGPT Rival to the App Store

OpenAI is turning ChatGPT into a software discovery platform for humans and AI agents, challenging the traditional App Store model. Here's what it means.

OpenAI Builds a ChatGPT Rival to the App Store

Key takeaways

  1. 1Developers accept revenue splits — typically 15 to 30 percent — because the platforms provide access to billions of devices and handle billing, fraud prevention, and identity.
  2. 2Analysts at Gartner have projected that by 2028, a substantial share of enterprise software interactions will be mediated by autonomous AI agents acting on behalf of users rather than humans clicking through interfaces.
  3. 3Early web developers built on open protocols; app developers accepted 30 percent commissions because the alternative was no market at all.
  4. 4Apple's services segment, which includes the App Store, generates roughly $85 billion annually, and Google's Play Store contributes tens of billions more.
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Apple's App Store and Google's Play Store have spent nearly two decades as the default gatekeepers of mobile software. Together, they facilitate hundreds of billions of dollars in annual consumer spending and set the rules that determine which apps get seen, which get paid, and which never reach an audience at all. That arrangement now faces its most credible structural challenge — not from a rival phone maker or a competing operating system, but from a chatbot.

According to reporting from TechCrunch, OpenAI is assembling the components of an alternative to the traditional app store model, transforming ChatGPT into a venue where software can be both discovered and used — by people and by AI agents alike. The company's latest features point directly at the economics and mechanics that have defined mobile software distribution for a generation.

OpenAI's Push to Reinvent App Discovery Inside ChatGPT

Search has always been the quiet engine of app distribution. Roughly two-thirds of app installs on iOS begin with a search query inside the App Store, a figure Apple has cited in defending its curation model. OpenAI appears to be betting that a growing share of those queries will soon be typed — or spoken — into a conversational interface instead.

The strategic logic is straightforward. ChatGPT already sits between users and information in the same way a search bar does. Once software can be invoked conversationally rather than downloaded and launched, the storefront metaphor loses much of its purpose. A user who needs to split a PDF, book a table, or reconcile a spreadsheet does not necessarily want an icon on a home screen. They want an outcome.

That shift reframes discovery as something closer to a recommendation than a shelf. Instead of browsing categories and rankings, users describe intent, and the assistant surfaces the tool that fits. OpenAI's moves suggest it intends to own that moment of intent — the point at which a need becomes a transaction.

How ChatGPT Could Replace the Traditional App Store Model

How ChatGPT Could Replace the Traditional App Store Model — The ChatGPT interface showing examples, capabilities, and limitations on a dark blue screen
How ChatGPT Could Replace the Traditional App Store Model — The ChatGPT interface showing examples, capabilities, and limitations on a dark blue screen

The traditional model rests on three pillars: distribution, payment, and trust. Apple and Google built moats around all three. Developers accept revenue splits — typically 15 to 30 percent — because the platforms provide access to billions of devices and handle billing, fraud prevention, and identity.

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A conversational platform could unbundle those pillars. Distribution becomes a model recommendation rather than a ranked chart. Payment could flow through an existing account already tied to a subscription. Trust shifts from app review boards to the assistant itself, which can verify what a tool does before invoking it.

The agentic dimension is what makes this more than a rebranding of search. Analysts at Gartner have projected that by 2028, a substantial share of enterprise software interactions will be mediated by autonomous AI agents acting on behalf of users rather than humans clicking through interfaces. IDC has made similar forecasts, describing an emerging "agent economy" in which software is called programmatically, not launched manually. If that projection holds even partially, the entity that routes agent requests becomes the most powerful distributor in software — and that entity would not be Apple or Google.

Why OpenAI Is Targeting App Store Dominance Now

Why OpenAI Is Targeting App Store Dominance Now — a cell phone sitting on top of a laptop computer
Why OpenAI Is Targeting App Store Dominance Now — a cell phone sitting on top of a laptop computer

Timing matters. Apple and Google are both under sustained regulatory pressure over their store policies. The European Union's Digital Markets Act has forced sideloading and alternative payment options in Europe. In the United States, the Epic v. Apple litigation stripped away some anti-steering restrictions. Each ruling erodes the assumption that the store is the only path to the user.

At the same time, ChatGPT's install base has reached a scale that makes it a distribution channel in its own right. That combination — a weakened incumbent moat and a challenger with existing reach — is precisely the condition under which platform shifts have historically occurred. Microsoft exploited a similar opening when browsers began displacing desktop software; Google did the same when mobile displaced the desktop browser.

OpenAI also has a monetization incentive. Subscription revenue is predictable but capped. Transaction fees, referrals, and enterprise integrations scale with usage. Building a distribution layer inside ChatGPT converts a product into a platform, and platforms command higher valuations than apps.

Implications for Developers and the Broader Software Ecosystem

For independent developers, the appeal is obvious and the risk is familiar. A new channel with lower friction and fewer rules could restore discoverability that the App Store's ranking algorithms have largely consolidated around a handful of large publishers. For years, developer surveys have shown that the majority of indie studios earn less than a few hundred dollars a month, in part because visibility is effectively auctioned through paid search ads.

But platform economics teach a consistent lesson: the terms of a new channel tend to harden once the channel becomes essential. Early web developers built on open protocols; app developers accepted 30 percent commissions because the alternative was no market at all. If ChatGPT becomes a primary path to users, OpenAI will eventually face the same question Apple did — how much rent can the gatekeeper charge before builders revolt?

There is also a technical dependency. Tools designed for an assistant's runtime are optimized for a specific model's capabilities and quirks. Porting them elsewhere is not trivial. That creates switching costs that favor whichever platform achieves scale first, a dynamic economists describe as multi-sided lock-in.

Apple and Google's Response: What Is at Stake

The revenue at risk is not abstract. Apple's services segment, which includes the App Store, generates roughly $85 billion annually, and Google's Play Store contributes tens of billions more. Both companies have defended those figures by arguing that their curation and security review protect users from malware and fraud — a claim that has held up better in public opinion than in antitrust courtrooms.

Expect the incumbents to respond on several fronts. Apple has already begun integrating generative AI into Siri and its operating systems, positioning the device itself as the intelligent layer. Google has done the same with Gemini across Android and Search. Both are likely to argue that on-device assistants offer better privacy and latency than a cloud-based intermediary.

The more consequential battle may be regulatory. If AI assistants become the primary interface for software discovery, questions about default placement, self-preferencing, and interoperability will follow them. The same antitrust theories applied to app stores could be applied to model providers — a prospect OpenAI is surely weighing as it designs its platform.

What Comes Next for the ChatGPT Platform

The near-term signal to watch is not a single product launch but a pattern: more third-party tools callable within conversations, clearer terms for how those tools reach users, and eventually a formalized way for developers to earn money inside the assistant. Each step moves ChatGPT further from a destination and closer to an operating layer.

That trajectory carries a historical echo. The companies that controlled software distribution — Microsoft with Windows, Apple with iOS, Google with Android — captured a disproportionate share of the value created on top of their platforms. OpenAI is now attempting to insert itself into that position before the agent era fully arrives.

Whether it succeeds depends on factors the company does not fully control: developer trust, regulatory scrutiny, and whether users actually want to delegate their software choices to a model. But the direction is unambiguous. The App Store model was built for a world where software lived in icons. OpenAI is building for a world where it lives in sentences.


Source: TechCrunch

Published

1 October 2026

Author

Editorial

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