a16z Releases Top 100 AI Applications List: ChatGPT Dominance Wanes, Global Markets Split into Three

Author: ethn, a16z

Translation: Deep Tide TechFlow

Deep Tide Introduction: a16z has released the sixth edition of the generative AI consumer app rankings. ChatGPT has 900 million weekly active users, but Gemini and Claude are seeing even faster paid growth. The “Default AI Assistant” competition has officially begun.

The biggest change in this edition is including long-established products with “AI features as core”—such as CapCut, Canva, Notion—while also covering agents, AI browsers, and desktop tools for the first time.

Author Olivia Moore is a partner on the consumer team at a16z. This report is one of the most systematic publicly available data sets tracking the AI consumer app landscape.

The full text is as follows:

Three years ago, we published the first version of this ranking with a simple goal: to understand which generative AI products are truly being used by mainstream consumers. At that time, the line between “AI-native” companies and others was clear. ChatGPT, Midjourney, Character.AI were products built from scratch around foundational models, while the rest of the software world was still exploring how to use this technology.

That boundary no longer holds. CapCut is a video editor with 736 million monthly active mobile users, and its most popular features are all AI-driven—background removal, AI effects, auto subtitles, text-to-video. Canva’s growth engine is entirely built on Magic Suite AI tools. Notion’s paid AI add-on rate soared from 20% to over 50% in a year, with AI features now contributing about half of the company’s ARR.

Starting from this edition, we expanded the scope to include all consumer products where generative AI has become a core experience, including CapCut, Canva, Notion, Picsart, Freepik, and Grammarly. We believe this better reflects how people actually use AI, though most top-ranked products are still AI-native.

Caption: Complete Top 100 Generative AI Consumer Apps List as of March 2026

As before, web rankings are based on monthly unique visitors (data from SimilarWeb, as of January 2026), and mobile rankings are based on monthly active users (data from Sensor Tower, as of January 2026). Here are our key findings:

1. ChatGPT Leads, but the “Default AI” Battle Is Underway

ChatGPT remains the largest consumer AI product, far ahead of others. Its web traffic is 2.7 times that of second-place Gemini, and its mobile monthly active users are 2.5 times Gemini’s. ChatGPT’s weekly active users have grown by 500 million over the past year, now reaching 900 million. Considering that larger scale makes growth harder, this number is astonishing—over 10% of the global population uses ChatGPT weekly.

But we’re seeing the landscape widen: other general-purpose platforms are gaining ground in specific scenarios. Over the past year, paid subscriptions for Gemini and Claude in the U.S. have accelerated (though they still lag far behind ChatGPT—ChatGPT’s paid users are 8 times Claude’s and 4 times Gemini’s). According to Yipit Data, as of January 2026, Claude’s paid user growth is over 200% year-over-year, Gemini’s is 258%. We also observe increasing multi-platform usage—about 20% of weekly ChatGPT web users also used Gemini that same week.

What’s happening? Competitors are stepping up. Google has made impressive strides in creative models—Nano Banana generated 200 million images in its first week, bringing 10 million new users to Gemini; Veo 3 is recognized as a breakthrough in AI video. Anthropic is focusing on professional users, launching Cowork, Claude in Chrome, Excel and PowerPoint plugins, and most critically, Claude Code.

This competition is about more than today’s leaders; it’s about who can build structural barriers. Context accumulates: the more a large language model (LLM) understands about you, the better its results, and the more dependent you become. Early data shows Gemini’s web-based per-user monthly conversations are rising, but ChatGPT still leads by 1.3x. On mobile, ChatGPT’s advantage is even greater—2.2x more conversations per user per month. According to Yipit Data, both companies have top-tier retention rates among U.S. consumer paid users.

The next lock-in layer is app store integration. Both ChatGPT and Claude have launched connector ecosystems—ChatGPT with GPTs and Apps, Claude with MCP integrations and Connectors—allowing users to build workflows on top of their assistants. Once users connect AI to their calendars, emails, and CRMs, switching costs skyrocket. Developers may focus on the platforms with the most users, creating a flywheel similar to early platform wars.

We already see divergence in platform strategies. Sam Altman previously said OpenAI aims to “bring AI to the billions who can’t afford subscriptions,” which is why they’re starting to run ads. He also mentioned launching “Sign in with ChatGPT” identity layer, positioning the AI assistant as the default interface between consumers and the internet. The ambition is for ChatGPT to be the starting point for everything: shopping, hotel bookings, browsing, health management, daily life.

The app directory already reflects this shift. By February, ChatGPT’s app store covers 13 categories with 220 apps. Claude has about 160 curated connectors plus around 50 community MCP servers. But only 41 apps overlap—roughly 11% of the combined catalog—and these are mostly universal productivity tools everyone needs: Slack, Notion, Figma, Gmail, Google Calendar, HubSpot, Stripe.

Beyond core tools, the two platforms are almost entirely diverging. ChatGPT has over 85 exclusive apps in travel, shopping, food, health, lifestyle, and entertainment—scenarios involving consumer transactions: booking flights on Expedia, grocery shopping via Instacart, browsing listings on Zillow, tracking nutrition on MyFitnessPal. These are the most aggressive super-app strategies among all AI companies. Claude’s exclusive integrations lean toward professional domains: financial data terminals (PitchBook, FactSet, Moody’s, MSCI), developer infrastructure (Sentry, Supabase, Snowflake, Databricks), scientific and medical tools (PubMed, Clinical Trials, Benchling), and an open-source MCP community without a direct ChatGPT counterpart.

Anthropic seems focused on high-end AI users—developers, knowledge workers—more willing and able to pay high subscription fees. While ChatGPT also offers products aimed at similar audiences (like Codex, Frontier), they aim to become truly mainstream platforms—potentially unlocking more monetization paths as user bases grow. They’ve begun testing ads, and transaction commissions are a natural extension.

If AI assistants evolve from chat windows to operating system-level environments, this competition might resemble the mobile OS wars—where one platform captures 90% of the market—rather than a search war. Each of these very different platform concepts could develop trillion-dollar ecosystems.

2. Global Usage Is Splitting by Product

Geographically, the AI market is dividing into three distinct ecosystems, with widening gaps.

Western AI tools share highly similar user bases. The core markets for ChatGPT, Claude, Gemini, and Perplexity are the same pools: US, India, Brazil, UK, Indonesia—just in different order. None have significant usage in China or Russia. The reason: policies. Since 2022, Western sanctions restrict Russia’s access to US AI tools; China requires registration, data localization, and censorship compliance.

DeepSeek is the only product crossing multiple camps. Web traffic is distributed across China (33.5%), Russia (7.1%), and the US (6.6%), with similar patterns on mobile. Chinese users also heavily use ByteDance’s Doubao and local products like Kimi.

Russia, which was nearly negligible in our early editions, has now become the third pole, with DeepSeek’s penetration ranking second. Yandex Browser, integrated with Alice AI assistant, has 71 million monthly active users, ranking in the top ten global mobile AI products. Sber’s GigaChat also appears on our web rankings for the first time. This pattern mirrors China’s—only faster: sanctions created a vacuum, and local products filled it within two years.

To measure AI adoption per capita, we built a simple index combining web per capita visits and mobile per capita monthly active users, scoring from 0 to 100. The results redefine the geographic landscape. Singapore ranks first, followed by UAE, Hong Kong, and South Korea. The US—home to most AI products—ranks 20th.

Caption: Generative AI Per Capita Adoption Index (0-100), Singapore leading, US 20th

3. Creative Tools Shakeup

Midjourney, DALL-E, and Stable Diffusion are the products that brought most early users into generative AI—three of them launched before ChatGPT. Image generation tools dominated the creative category (video and audio came later), and have consistently ranked high in our first three editions. But the landscape has changed significantly.

In the September 2023 edition, 7 of the top 9 web-based creative tools were image generators. Now, three years later, only 3 image generators remain in the top ranks, while creative tools overall still number 7. The difference? What filled the gaps: video, music, and speech products.

The story of image generation is one of being swallowed by broader offerings. As ChatGPT (GPT Image 1.5) and Gemini (Nano Banana) integrated image models with improving quality, standalone image products faced higher entry barriers. In our first edition, Midjourney ranked in the top 10; now it’s 46th. Remaining products—Leonardo, Ideogram, CivitAI—tend to serve specific creative communities with distinctive features rather than compete directly with general-purpose generators.

Video generation is the most dynamic area in this edition. Kling AI, Hailuo, and Pixverse have built solid user bases, with Chinese-developed models leading in output quality. Applications based on Seedance 2.0 will likely appear in the next edition. Veo 3 is the first American model to narrow the gap, boosting Google Labs’ traffic (rising from 36th to 25th).

Who’s missing? Sora. OpenAI launched Sora 2.0 as a standalone app in September 2025, allowing users to upload their digital avatars as Cameos to generate real-person videos. Sora topped the US App Store charts for 20 days straight, reaching 1 million downloads faster than ChatGPT. But downloads declined afterward because Sora didn’t sustain viral growth as a social app (no one has cracked the AI + social combo yet). It didn’t make the mobile top charts this edition. However, SensorTower data shows Sora still has over 3 million daily active users on mobile, and AI video creators continue to use the model even if they post their work elsewhere.

Music and speech tools are more defensible. Suno maintained its previous rank (15th). ElevenLabs has been on every edition since September 2023; its core capabilities—voice cloning, dubbing, audio production—are highly professionalized and not yet integrated as a checkbox feature in giant products.

Summary: When giants like Google and OpenAI focus on creative directions (images, increasingly video), independent products’ traffic gets squeezed—though there’s still room for more niche, attitude-driven, higher-priced offerings outside the mainstream. Conversely, in less-pressured areas like music and speech, independent products have more space to grow.

4. Agents Are Coming

The shift toward AI agents isn’t new—started in the previous edition with vibe coding. When Lovable, Cursor, and Bolt appeared on our March 2025 rankings, they represented a new paradigm: AI products that don’t just answer questions or generate media, but build things for users. This is agent behavior, limited to specific verticals.

Vibe coding has proven retention among technical and semi-technical users. Both Replit and Lovable are on this edition’s list, as is Claude Code (via Claude). There’s more room to grow, as this trend hasn’t yet gone mainstream. The top five vibe coding platforms continue to grow, albeit at a slower pace than during initial explosive growth, and many are seeing increased revenue as developer and team usage deepens.

More recently, general-purpose AI agents have emerged. In January 2026, an open-source project called OpenClaw went from an independent developer’s side project to a GitHub star count of 68,000 and mainstream media coverage within weeks. Created by Austrian developer Peter Steinberger, OpenClaw is a locally running AI agent that can connect to messaging apps and perform multi-step tasks on your behalf.

If ChatGPT was the moment consumers realized AI could chat, OpenClaw might be the moment they realize AI can act. The product exploded in the developer community—if we push the analysis window to February instead of January, OpenClaw could rank in the top 30 web-based apps.

But OpenClaw isn’t yet consumer-ready—it requires terminal skills to install and maintain. It continues to gain momentum among tech-savvy users, becoming GitHub’s most starred project in early March, surpassing React and Linux. Yet it hasn’t “graduated” to mainstream users—at least based on new visitor data from its install page, growth remains modest. The project was acquired by OpenAI in February 2026, which may signal a more user-friendly version of OpenClaw is on the horizon.

OpenClaw isn’t the only general-purpose agent on the list. Manus and Genspark also made it in—both platforms allow consumers to delegate open-ended tasks (research, spreadsheet analysis, slide creation) to AI, which then handles the entire workflow end-to-end. Manus is making its second appearance; after debuting last year, it was acquired by Meta in December 2025 for about $2 billion. Genspark is a new entrant—earlier this year, it closed a $300 million Series B and announced $100 million annualized revenue.

On mobile, consumers typically interact with agents via text rather than dedicated apps. They connect OpenClaw to platforms like WhatsApp, Telegram, and Signal, giving commands as if messaging a friend, while the agent performs tasks in the background. Other products like Poke offer similar agent experiences via SMS.

These products will directly compete with the agent capabilities of consumer LLMs like ChatGPT, Claude, and Gemini. As these giants build their own connector and app ecosystems, will consumers choose one as their primary agent? The answer will come in the next six months.

5. AI Moves Beyond Browsers and Apps

Previous editions ranked AI products by two metrics: web traffic and mobile monthly active users. But a new class of AI products is emerging that these metrics can’t capture. Over the past year, some of the most significant consumer AI growth has occurred in products invisible to these traditional measures.

The most obvious change: browsers themselves are becoming AI products. Over the past nine months, OpenAI launched Atlas—a browser with ChatGPT embedded in every page; Perplexity introduced Comet; Browser Company (later acquired by Atlassian) launched Dia. Yipit data shows Comet had the biggest impact (measured by downloads), but no AI browser has yet achieved accelerated growth.

Other AI giants are integrating AI into existing browsers rather than launching standalone AI browsers. Google added Gemini to Chrome and released a beta called Disco, which dynamically generates web apps based on browser tabs. Anthropic released Claude in Chrome, connecting to user sessions of Claude or Claude Code to drive web actions.

Growth of native desktop AI tools is even more rapid, especially for developers. Claude Code—a command-line developer agent—reached $1 billion annualized revenue in just six months. OpenAI launched a Mac-native Codex app, which reportedly had 2 million weekly active users in early March, up 25% week-over-week. Cursor remains in the top 50 web apps.

For consumers, the most common standalone desktop AI apps are voice-related. Tools like Fireflies, Fathom, Otter, TL;DV, and Granola, through PLG models, reach users and gradually penetrate enterprises—together, the top five have over 20 million visitors. Workspace apps like Notion (first appearance in this edition) increasingly integrate AI via note-taking, research agents, and task automation.

Finally, AI is embedding more deeply into tools people already use. Anthropic launched Claude in Excel and PowerPoint. OpenAI released ChatGPT for Excel. Google deepened Gemini’s integration across Workspace—Docs, Sheets, Gmail, Meet—all feature native AI. In January 2026, Google introduced Personal Intelligence, connecting Gemini to Gmail, Google Photos, YouTube, and Search, enabling the assistant to reference your hotel bookings, purchase history, albums, and viewing habits without you explicitly telling it.

The takeaway from this ranking: we are underestimating the AI products people use most. A developer spending eight hours daily in Claude Code, or a knowledge worker dictating every email via Wispr, are heavy AI users but nearly invisible in web traffic data. When AI shifts from being a destination to a core function, our methodology must evolve accordingly.