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Apple App Store flooded by AI-built apps: submissions up 84%

AI tools have sharply lowered the barrier to entry in development, and the App Store is already showing it: over the quarter, submissions for new apps rose…

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Apple App Store flooded by AI-built apps: submissions up 84%
Source: 3DNews AI. Collage: Hamidun News.
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Apple App Store has been inundated with a surge of AI-generated applications. According to Sensor Tower, the number of submissions for new applications rose by 84% in the past quarter, a spike attributed to the availability of AI tools for development.

Explosion of New Submissions

Such growth does not mean the market suddenly expanded on its own. Rather, the barrier to entry has changed: what previously required weeks or months for a small team can now be assembled in a weekend using code generators, UI templates, and services that automatically write app store listing texts. For independent developers, this is an opportunity to test ideas faster, and for Apple, it signals that the flow of software into the store is growing faster than selection and recommendation processes can adapt.

This is not only about full-fledged startups. AI helps release utilities, simple mobile games, content generators, habit trackers, photo editors, and dozens of other formats where the first version doesn't require a large engineering team. That is why the growth in submissions looks not like a single spike, but as a consequence of structural shift: creating applications has become cheaper, faster, and noticeably easier even for people without deep iOS development experience.

What Accelerated AI

The main effect came not from any particular breakthrough models, but from a set of practical tools that address the most expensive and tedious stages of launch. Code generation, preparation of visual assets, and accelerated debugging allow building a minimum viable product with lower costs. Because of this, more raw, experimental, and niche applications enter the App Store: authors are more willing to hit the "submit for review" button because the cost of mistakes and rework has become lower for them.

  • Generation of basic logic and interfaces from text description
  • Quick creation of icons, screenshots, and marketing copy
  • Automatic bug fixing and SDK integration tips
  • Accelerated release of clones and variations of existing applications

This mechanic works perfectly for "vibe coding": when a product is assembled quickly, on feeling, often without a long design phase. As a result, the store receives not only more new ideas, but also more similar solutions built from similar templates. For the user, this is simultaneously a plus and a minus: the choice is wider, but finding a truly useful application among similar cards becomes harder.

Load on Moderation

For Apple, the key question now is not the fact of growth itself, but the quality of that stream. The easier it is to release applications, the higher the chance that among them will be copies, low-quality builds, products with aggressive monetization, or simply unfinished services that entered the store too early. Even if the share of such projects is small, the absolute number of questionable submissions grows along with the overall volume.

This means additional load on App Review, search algorithms, and the recommendation system within the App Store. There is also a more subtle effect: a flood of new publications changes the economics of visibility. It becomes harder for small developers to maintain visibility in search results if dozens of almost identical applications with similar descriptions and features appear next to them every day.

Apple will likely need to strengthen quality signals—from behavioral metrics to more stringent content evaluation and function duplication checks. Otherwise, the store risks facing not just an increase in assortment, but an erosion of trust, when users find it increasingly difficult to distinguish a useful product from noise.

What This Means

AI tools are already changing not just how code is written, but how mobile platforms are organized around it. For Apple, the surge in submissions is an early sign of a new normal, where more people and microteams will be able to publish applications. The next stage is not growth in quantity itself, but rather the battle for quality, moderation, and visibility in a store that is becoming increasingly crowded.

ZK
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