App Stores are Booming again apparently

[CMPunk_Fan]

The App Store is booming again, and AI may be why | TechCrunchtechcrunch.com

 
Everyone said AI would kill the app economy. Turns out it may be doing the opposite. New data from market intelligence firm Appfigures shows that worldwide app releases in Q1 2026 were up 60% year-on-year across both the App Store and Google Play. On iOS alone that figure jumps to 80%. And so far in April 2026, total releases are up over 100% compared to the same period last year.
 
The theory doing the rounds for a while was that AI chatbots and agents would replace apps entirely. Nothing CEO Carl Pei has been saying exactly that, and OpenAI is reportedly working on an AI hardware device with Jony Ive designed to sidestep smartphones altogether. But the data tells a different story right now.
 
What seems to be happening instead is that AI is lowering the barrier to building apps. People who have ideas but no coding skills can now ship something. The result is a new wave of creators entering the space, and certain app categories are seeing notably higher release rates than others because of it.
 
Apple's own Greg "Joz" Joswiak quipped in a recent interview that rumours of the App Store's death in the AI age may have been greatly exaggerated. Hard to argue with a 60% spike

[Brett42]

I've seen this first hand. A mate of mine built and shipped his first iOS app last month using AI coding tools. Six months ago he couldn't have done it. The floodgates are open

[DQ Eric]

The quality question is going to be interesting though. More apps does not automatically mean better apps. Discovery is already a nightmare on both stores

[Amy96]

It makes sense when you think about it. AI removes the bottleneck that stopped ideas becoming products. The app stores are not going anywhere. If anything they are going to get noisier

[Slay40]

Interesting really. one click from request to app store. going to be lower quality

[Undertaker92]

That is the sensible approach. Worth doing even if the saving is small

[BretHart]

There is something else going on in it I think. The gap between what something says and what it means is often where the most interesting stuff lives.

Curious what others make of it.

Windows gets slower over time not because of hardware but because of accumulated junk.

[LazySentinel]

The interesting twist is that AI may be expanding the app market rather than replacing it. New app releases reportedly jumped sharply in early 2026, with the biggest growth on iOS, which suggests that faster AI-assisted coding is lowering the barrier for small teams and solo developers. [86]

That does not mean every new app is useful. It means more people can test an idea cheaply, and a few of those ideas may become genuinely valuable. The app store has been handed a larger shovel; whether it digs treasure or produces another weather app with a chatbot is up to the developer.

[MondayMoan]

The old prediction was that users would simply ask an AI agent to do everything and stop opening apps. That feels too neat. People still want dedicated tools for banking, transport, fitness, music, photo editing, and games because those experiences have specialised interfaces and trusted workflows.

AI may become the layer that connects the apps rather than the thing that kills them. Your assistant can book the train, but the train app still handles the ticket, live platform information, refunds, and the mildly terrifying map of the station.

[Phoebe85]

What has changed is the cost of getting from idea to prototype. A developer can describe a database, generate a basic interface, create test data, and get a rough build running before lunch.

The hard part has moved up the stack. Distribution, security, accessibility, retention, customer support, and knowing what not to build now matter even more. Anyone can launch an app; making people keep it installed is still the final boss.

[HeartbreakKidOscar97]

The numbers are exciting, but app releases are not the same as successful apps. We saw huge waves of low-effort utilities in previous platform booms, and AI can multiply that pattern quickly.

Expect several thousand apps that are basically the same image generator, meal planner, study coach, and PDF summariser wearing different hats. The useful shift will be measured by active users and retention, not by how many icons arrive on the store each month.

[Freya_27]

Productivity apps moving up the rankings makes sense. AI is good at removing the annoying blank page, whether that means drafting a meeting summary, turning notes into tasks, or cleaning up a spreadsheet.

The best products will not just put a chat box in front of a general model. They will understand a narrow workflow and do something concrete, such as preparing a contractor quote from photos or turning a voice memo into a structured maintenance report. Narrow beats flashy surprisingly often.

[QuantumToken]

There is a security catch that should be shouted from the rooftops. Faster app generation also means faster generation of badly secured apps, copied code, exposed API keys, and suspicious tools asking for permissions they clearly do not need.

Users should treat the new flood of apps with the same caution as browser extensions. Check who made it, what data it collects, whether it has a real support route, and why a torch app wants access to contacts.

[NovaPrime68]

There is a funny contradiction here: AI may make apps easier to build while making them harder to maintain. Generated code can produce a convincing first version, but dependencies change, operating systems update, APIs break, and users report edge cases that no prompt predicted.

The return of app development is also the return of bug reports. Somewhere, a solo developer is discovering that the model generated a perfect settings screen but forgot what happens when the phone is offline

[EventHorizon63]

AI coding tools are also bringing back the hobbyist developer. Someone with a niche need can build a small app for a local club, school, community garden, or specialist hobby without first learning an entire software stack.

That is a positive development. The danger is assuming generated code is finished code. A prototype can be produced in an afternoon; keeping user data safe for five years still requires someone who understands what the code is doing.

[CobyOlaleye]

The old app economy was already crowded, but AI could create a second wave of tiny specialist tools. A translator for one professional workflow, a training log for one sport, or a planning app for one kind of event may never become famous but can still be a viable business.

That is where the boom feels most convincing to me. Not every app needs a million users. A focused tool with a few thousand loyal customers can be more useful than a generic platform trying to serve everyone.

[DecentBloke]

There is a big difference between an AI feature and an AI product. Adding automatic transcription to a note-taking app may be useful because it solves a clear problem. Adding a chatbot to a calculator because the funding deck demands an AI line is just decorative software.

Users are getting better at spotting the difference. If the AI does not save time, improve accuracy, or unlock something that was previously difficult, people will use it once and delete it. No amount of neon gradient branding can change that.

[Darkseid]

App discovery is the part I am worried about. If releases are rising by this much, users need better ways to separate a trustworthy independent app from a polished scam with generated reviews and a subscription hidden behind a three-screen onboarding flow.

Store operators should show clearer developer history, privacy details, update records, and cancellation terms. More choice is only useful when people can navigate it. Otherwise the app store becomes a giant cupboard where every jar says premium and none of them has a label.

[R948]

The biggest change may be that mobile development becomes more experimental. A team can test five small ideas instead of betting the entire budget on one large build, then keep the one that gets real usage.

That is healthier than the old model where every project needed a giant launch campaign. It also means app developers have to become more comfortable killing their own ideas. AI makes starting cheap; it does not make failure emotionally free.

[codeberg]

The app store is booming because apps remain excellent containers for distribution, payments, notifications, sensors, and offline features. An AI assistant can recommend or control those functions, but it does not remove the need for reliable software underneath.

Imagine asking an assistant to organise a trip. The agent may compare flights and hotels, but the individual apps still provide booking rules, identity checks, boarding passes, and customer service. The interface may change; the infrastructure remains.