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Inside a16z’s Top 100 AI Apps Report with Olivia Moore

Anish Acharya speaks with Olivia Moore about the latest edition of The Top 100 Gen AI Consumer Apps report. They cover why ChatGPT is still 30 times bigger than Claude on web, how the three major platforms are specializing for different users, what global adoption data reveals about cultural attitudes toward AI, and why agents, memory, and voice are about to change everything. Timestamps: 0:00—Introduction 4:18—The App Store Dynamic and Monetization Strategies 9:12—Google's Gemini Comeback and the DeepMind Creative Push 11:33—Global AI Adoption: Russia, China, and the Per Capita Heat Map 17:55—The Evolution of Creative Tools 20:51—Sora's Social Experiment: A Million Users Faster Than ChatGPT 24:53—OpenAI Operator: Number One GitHub Stars of All Time 32:27—How Teenagers Are Actually Using AI 36:37—Memory as a Core Advantage for AI Products Read the full transcript here: https://www.a16z.news/s/podcast Resources: Follow Anish Acharya on X: https://twitter.com/illscience Follow Olivia Moore on X: https://twitter.com/omooretweets The Top 100 Gen AI Consumer Apps — 6th Edition: https://a16z.com/100-gen-ai-apps-6/ Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends! Find a16z on X: https://twitter.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Listen to the a16z Show on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYX Listen to the a16z Show on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711 Follow our host: https://x.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see http://a16z.com/disclosures.

Anish AcharyahostOlivia Mooreguest
Mar 9, 202638mWatch on YouTube ↗

At a glance

WHAT IT’S REALLY ABOUT

a16z breaks down AI app adoption, platforms, agents, and memory shifts

  1. ChatGPT remains the dominant global AI product by a wide margin, yet weekly usage is still only about 10% of the global population—signaling an early market with massive headroom.
  2. The “consumer race” is intensifying as ChatGPT, Gemini, and Claude differentiate by audience and app-ecosystem strategy, with surprisingly low overlap between their emerging app stores.
  3. Monetization strategies are diverging: Claude leans toward subscription/prosumer value, while ChatGPT aims for a broader “AI for everyone” model with future transaction and advertising upside via an app directory.
  4. Global adoption is uneven: China and Russia stand out as major outliers due to restrictions and parallel domestic ecosystems, while per-capita leaders (e.g., Singapore, Hong Kong, UAE, South Korea) reflect high-trust, tech-forward labor markets.
  5. The next wave is agents, desktop/ambient AI, and persistent memory—shifting AI from prompt boxes to outcome delivery, raising new lock-in dynamics and privacy/persona segmentation challenges.

IDEAS WORTH REMEMBERING

5 ideas

ChatGPT is winning scale, but the market is still early.

Moore notes ChatGPT is far larger than Gemini and dramatically larger than Claude, yet only ~10% of the global population uses ChatGPT weekly—implying the main story is expansion, not saturation.

“App store” dynamics are creating platform-level lock-in beyond model quality.

Both Claude and ChatGPT have 200+ apps, but only ~11% overlap, suggesting ecosystems will diverge and developers may prioritize the platform with the most users (consumer) or highest willingness-to-pay (prosumer/enterprise).

ChatGPT’s bull case is a Google-like funnel: broad acquisition first, monetization later.

The conversation frames ChatGPT’s directory as a gateway to travel, finance, and other consumer transactions, where revenue could come from ads and/or take rates—not just subscriptions.

Gemini’s traction is being pulled forward by creative, model-driven “new surfaces.”

Moore attributes usage spikes to major creative releases (e.g., Veo) and highlights NotebookLM as a standout greenfield product, while AI additions to Docs/Sheets may be more incremental due to switching costs and internal inertia.

Geopolitics is shaping AI adoption and winners as much as product design.

China’s low ChatGPT/Gemini usage and Russia’s parallel ecosystem (e.g., GigaChat/Yandex plus DeepSeek) show that restrictions and sanctions can create large domestic winners that may later appear in global rankings.

WORDS WORTH SAVING

5 quotes

On the other hand, from, like, a macro level, we're still so early. Like, ChatGPT is by far the biggest global AI product, and still only 10% of the global population is using it on a weekly active basis.

Olivia Moore

If you actually look at the app stores that are emerging on Claude and ChatGPT, they both have two hundred plus apps, but there's only 11% overlap.

Olivia Moore

And so if you look at the kind of like per country adoption data, like yes, there's some blips where like this country uses Claude a little bit more, this country uses Gemini a little bit more. But the two huge outliers are Russia and China, and those are like big, big markets.

Olivia Moore

So, like, huge launch. And actually, I think what a lot of people underestimate is it still has very significant usage.

Olivia Moore

Any product that you start to use two years from now, if it doesn't immediately feel like it knows you, it will feel broken. Like, the concept of like onboarding to a product should not be something that exists in a couple years, and I think that that is something that memory is really gonna enable.

Olivia Moore

Top 100 AI Apps report: what changed since 2023ChatGPT vs Gemini vs Claude usage and positioningAI app stores/directories and developer concentration effectsMonetization: subscriptions vs ads/transactionsGoogle/DeepMind creative products (NotebookLM, Veo)Global adoption heat map; China/Russia parallel ecosystemsCreative tools: images vs music/voice/videoSora’s launch, social experiment, and exportability problemAgents: OpenClaw, Manus, consumer reliability and distributionDesktop apps, AI browsers, and measurement challengesTeen usage patterns (homework, creativity, conversation)Memory/personal intelligence as a product moat

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