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The App Flood: How AI Drove Thousands of New Apps to the App Store?

It seems the Apple App Store has suddenly awakened from a deep, three-year slumber; after a period of relative stagnation in the number of new apps since 2022, 2025 witnessed an unprecedented explosion in the number of programs submitted to the store. The secret isn’t magic; it’s Artificial Intelligence, which decided to put on a programmer’s hat and give everyone and anyone the ability to launch their own app. This sudden surge is not just a fleeting statistic, but a radical shift that could change the face of the App Store as we know it, for better or… for worse.

From Phonegram: The text says: How many iPhone and AI apps are currently available? iOS App Store apps: 2,212,345 including the App Store icon.


The Real Numbers Behind the Programming Explosion

During 2025, the number of new app submission requests for iOS grew by 24%, but the real peak occurred in December of the same year, with numbers jumping by 60% compared to the previous year. Although some reports circulated an exaggerated figure reaching 84%, documented data from entities like Sensor Tower and Wells Fargo Securities confirm that the increase remains staggering even without exaggerations. This sudden breaking of the three-year plateau indicates that we are not just facing a casual increase, but a structural change in how apps are created.

From Phonegram: Side-by-side charts comparing game apps to other apps and free apps to paid apps on Google Play and iOS, focusing on iPhone and AI apps, where most apps were games and mostly available for free.

It is important here to distinguish between “new apps” and the number of downloads or revenue; what we are talking about here is the “supply” or the number of programs trying to reserve a spot on your devices. Apple, as usual, does not publish transparent data about the number of rejected requests or the categories experiencing this growth, which forces us to rely on third-party market tracking tools to understand what is happening behind the scenes of app reviews in Cupertino.


The “Agentic Coding” Revolution: The Programmer Who Never Sleeps

From Phonegram: A robot and a person sitting at a desk with a computer displaying code, under the text "Agentic AI Coding Assistants", highlighting iPhone and AI apps in modern development.

The most logical explanation for this flood is the emergence of “Agentic Coding” tools, which are AI tools that do not just suggest code, but build fully functional apps based on natural language descriptions. The developer’s role has shifted from writing complex lines of code to being a “product manager” who dictates to the machine what needs to be done. The timeline for the evolution of these technologies perfectly matches the store’s jump; from Anthropic’s open protocols in late 2024 to OpenAI’s launch of its own app store, all roads led to December 2025.

Some try to compare this moment to 2008, when the App Store first launched with only 500 apps and reached a million downloads in a single weekend. But the fundamental difference is that in 2008, we were in a programming desert thirsty for anything, whereas today, we are in an ocean already crowded with millions of apps competing for user attention, which makes “abundance” as much of a problem as it is a feature.


Quantity vs. Quality: The Risks of Canned Code

From Phonegram: A person uses a laptop, interacting with floating digital screens displaying "Agentic AI" and data charts, highlighting advanced AI technology and its integration with Phonegram apps.

The question that strongly poses itself: Are these new apps actually useful? The experience with previous ChatGPT plugins was not encouraging; most were just empty “shells” that offered no real value, and they quickly died due to low usage and difficulty of discovery. The biggest fear is not just trivial apps or “spam,” but security vulnerabilities. A study published by the Association for Computing Machinery (ACM) indicates that about 40% of programs created using tools like GitHub Copilot contain security vulnerabilities, the reason being that AI learns from public code repositories that already contain errors.

Even worse is the “trust gap” among new developers; studies show that programmers who use AI often trust the security of their code more than they should, even though it may be less secure than code written by hand. This puts enormous pressure on Apple’s app review system, which was designed in an era where building an app required a significant technical investment that acted as a natural quality filter. Now, with this obstacle gone, we may see a wave of apps whose deep vulnerabilities even Apple cannot check quickly enough.


The Future of the App Store in the Age of Abundance

Ultimately, we are facing a puzzle that Apple has not yet publicly solved: Does it see this explosion as an opportunity to revive creativity, or is it just a stress test for its ecosystem? The success of this phase depends on Apple’s ability to develop search and discovery algorithms; adding thousands of apps daily without a precise filtering system will make finding a real “gem” amidst the pile of duplicate apps nearly impossible.

Do you think AI will pave the way for brilliant apps we never dreamed of, or will it turn the software store into a graveyard of duplicate and insecure apps?

Source:

apple.gadgethacks.com

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