AI isn't killing apps: launches up 60% in 2026

In early 2026, the mantra repeated at conferences and in analyses was that AI agents would make apps unnecessary: if you can ask an AI to do the task, why download an app? Data from the first quarter of 2026 tells a very different story. According to data from Appfigures collected by TechCrunch on July 28, new app launches rose 60% year-over-year on the App Store and Google Play combined. On iOS alone, the increase was 80%. In April, total new launches were 104% above the same period in 2025.

Greg 'Joz' Joswiak, Apple's Senior VP of Marketing, summed it up wryly: rumors of the App Store's death in the age of AI 'may have been greatly exaggerated.'

To understand the magnitude of the change, it's worth looking back. In 2024, the number of new apps on the App Store had fallen 25% from 2020, according to App Annie data, partly due to market maturity and concentration on established apps. Analysts predicted an even greater contraction with the arrival of conversational assistants like ChatGPT and Gemini. However, 2025 marked a turning point: the release of models like Claude 3.5 Sonnet and GPT-4o, along with AI-assisted development tools, began to reverse the trend. The first quarter of 2026 confirms that this is not a temporary rebound but a structural shift.

Why there are more apps, not fewer

The paradox is resolved by two key factors. First, AI coding tools (Claude Code, Cursor, GitHub Copilot, Replit) have drastically lowered the barrier to entry for launching an app. Someone who a year ago took six months to build a simple tool can now launch it in weeks. 'Newbies'—people without prior technical experience—can participate in the ecosystem for the first time. Volume goes up because the marginal cost of launching goes down.

Second, many of the apps that are growing do not compete with AI assistants but complement them. The most interesting apps of 2026 do not describe themselves as 'powered by AI' even though they use models under the hood. Smarter bookmarking tools, hyperlocal marketplaces, nature journals with automatic plant identification: they use AI to do things that chat interfaces don't handle well (visualization, geographic context, longitudinal habit tracking).

The TechCrunch article identifies several specific examples: apps for writing letters to digital pen pals, neighborhood tools for hyperlocal buying and selling, and journaling systems that use AI to connect diary entries with mood patterns. None call themselves 'AI apps' even though they all use language or vision models for part of their functionality.

This phenomenon recalls what happened with digital photography in the early 2000s: it was predicted to kill traditional cameras, but it actually multiplied the number of photos and created new formats (Instagram, Snapchat). Similarly, AI is not eliminating apps but democratizing their creation and opening up niches that were previously unprofitable.

Implications for developers and businesses

This boom has profound consequences. For independent developers, the lower barrier to entry means more competition, but also more opportunities for very specific niches. A solo developer can now create an app for, say, managing digital trading card collections or helping plan running routes with weather data, something that previously required a team. According to a 2025 Stack Overflow survey, 40% of independent developers already use code assistants to speed up development, and 15% say they launched their first app thanks to these tools.

For large companies, the proliferation of apps means that the 'single app' strategy becomes less viable: users expect specialized experiences that a super app can hardly offer. Meta, for example, has seen apps like BeReal or Locket Widget gain traction by focusing on a single functionality. In 2026, even giants like Google are launching smaller, more focused apps (like the redesigned Google Tasks), rather than integrating everything into Google.

Moreover, the data suggests that app monetization remains strong. Despite AI, people continue to download and pay for apps that solve specific problems. In-app purchase revenue on the App Store grew 12% year-over-year in the first quarter of 2026, according to Sensor Tower. The prediction that AI assistants would cannibalize app traffic has not come true; instead, AI is generating a new ecosystem of apps that leverage its capabilities without relying on conversational interfaces.

However, there are risks. The ease of creating apps has also led to a surge in low-quality or spam apps. Apple and Google have had to strengthen their review processes: in April 2026, Apple rejected 30% more apps than in the same month of 2025, according to leaked internal data. Curation becomes more important than ever for users to find value amid the noise.

What readers should know

Don't be fooled by apocalyptic headlines. AI isn't killing apps; it's transforming them. If you're a user, this means more options and better tools. If you're a developer, the message is clear: AI is an ally to create faster, not a threat to your job. The future of software is not without apps, but with AI-powered apps that do things chatbots can't.

In market terms, we are facing a bifurcation: on one hand, ultra-personalized apps created by individuals or small teams; on the other, massive apps that integrate AI invisibly. Both coexist and feed off each other. What has died is not the app, but the idea that a single conversational interface can solve all needs. The diversity of formats and usage contexts still demands dedicated applications, and AI is accelerating their creation rather than eliminating them.