What’s Next for Consumer AI? | Josh Elman Joins a16z
Episode
53 min
Read time
2 min
Topics
Career Growth, Productivity, Relationships
AI-Generated Summary
Key Takeaways
- ✓Retention over acquisition: Getting 10 million users fast is the wrong goal. Build a smaller base of users who have genuinely shifted their behavior and cannot revert to old habits. Once that irreversible habit loop is confirmed, scale it. Every major platform — Robinhood, TikTok, Discord — followed this sequence rather than chasing raw download numbers first.
- ✓Referral mechanics design: Robinhood's give-a-stock, get-a-stock referral program outperformed standard give-$10, get-$10 models because the reward was a lottery-style share worth anywhere from $2 to $100. The variable reward created excitement and word-of-mouth, while keeping customer acquisition costs lower than competing in Facebook and Google ad auctions directly.
- ✓TikTok's paid-plus-retention playbook: ByteDance spent heavily on Facebook and Twitter ads to acquire Musically/TikTok users, but the strategy only worked because the product retained nearly everyone. Quibi spent comparable sums and failed because retention was absent. Paid acquisition is viable only when the product loop already demonstrates strong organic stickiness before scaling spend.
- ✓Personal intelligence as the AI frontier: Apple's Siri AI differentiates by accessing on-device data — mail, messages, calendar, notes — to answer contextual questions without the user manually providing context. This "personal intelligence" layer, where the assistant already knows your information, represents a distinct product category from general-purpose chatbots and opens space for consumer startups building vertical personal assistants.
- ✓Generative engine optimization (GEO) as the next distribution channel: Consumer AI products need to appear when AI assistants recommend solutions to user problems. Alongside creator-driven word-of-mouth, founders should optimize for agent referrals — structuring content and product data so that ChatGPT, Claude, and similar tools surface their product when users describe relevant problems, replacing traditional SEO as a primary discovery mechanism.
What It Covers
Josh Elman, veteran of LinkedIn, Facebook, Twitter, TikTok, and Apple's AI efforts, joins a16z partner Anish Acharya to examine the current state of consumer AI — covering product retention, distribution channels, the labs-versus-startups debate, and where the next generation of consumer companies will emerge.
Key Questions Answered
- •Retention over acquisition: Getting 10 million users fast is the wrong goal. Build a smaller base of users who have genuinely shifted their behavior and cannot revert to old habits. Once that irreversible habit loop is confirmed, scale it. Every major platform — Robinhood, TikTok, Discord — followed this sequence rather than chasing raw download numbers first.
- •Referral mechanics design: Robinhood's give-a-stock, get-a-stock referral program outperformed standard give-$10, get-$10 models because the reward was a lottery-style share worth anywhere from $2 to $100. The variable reward created excitement and word-of-mouth, while keeping customer acquisition costs lower than competing in Facebook and Google ad auctions directly.
- •TikTok's paid-plus-retention playbook: ByteDance spent heavily on Facebook and Twitter ads to acquire Musically/TikTok users, but the strategy only worked because the product retained nearly everyone. Quibi spent comparable sums and failed because retention was absent. Paid acquisition is viable only when the product loop already demonstrates strong organic stickiness before scaling spend.
- •Personal intelligence as the AI frontier: Apple's Siri AI differentiates by accessing on-device data — mail, messages, calendar, notes — to answer contextual questions without the user manually providing context. This "personal intelligence" layer, where the assistant already knows your information, represents a distinct product category from general-purpose chatbots and opens space for consumer startups building vertical personal assistants.
- •Generative engine optimization (GEO) as the next distribution channel: Consumer AI products need to appear when AI assistants recommend solutions to user problems. Alongside creator-driven word-of-mouth, founders should optimize for agent referrals — structuring content and product data so that ChatGPT, Claude, and similar tools surface their product when users describe relevant problems, replacing traditional SEO as a primary discovery mechanism.
Notable Moment
Elman reveals he left venture capital partly because he doubted whether any new consumer startup could reach billion-user scale against entrenched social networks — then watched ChatGPT prove him wrong by becoming one of the fastest-growing consumer apps in history within roughly three years.
Episode Transcript
Right now, AI has been so much about productivity, job replacement, work replacement. And I think we have a moment to shift that, which is how does these new tools help you get more out of your own day and your own life and the things you wanna do? So it sounds like you're saying retention is still the most important metric. Is that true? I mean, I think it's always been. But you've been a part of really every product cycle, the big ones and the small ones, and now most recently, leading product marketing for a lot of the AI efforts at Apple. One of the things I learned a lot at Apple was how do we tell a compelling story to regular people? One of those things that as long as you use it, you're like, oh my god, I can never go back to the old way. We forget that, like, technology is no longer the underdog. The parts of the products we've made are running the world. You know, we used to say real life, but, like, online life is real life now. ChatugebT was amazing for a whole bunch of searches that we thought were totally solved through Google. Yeah. And all of a sudden, you start putting those searches into ChatChippity, you're like, this answer is more than 10 times better. This experience is more than 10 times better, and Google links back and forth. Yeah. And I think that's where Chat2BT Pool. One topic that we discuss a lot is, are the labs just gonna win it all? Should we all just go home? And I know it feels like we have a version of this conversation every time there's a new product cycle. What's your view? So I think a funny way to think about it is for more than two decades, Josh Ellman has been at the center of some of the most important consumer technology platforms in the world. From LinkedIn, Facebook, and Twitter, to Robinhood, Discord, Musically, TikTok, and Apple, he has spent his career studying how products grow, how people connect online, and why some technologies become part of everyday life. Today, as AI reshapes the technology landscape once again, many of the biggest questions are consumer questions. How will people discover products? What new behaviors emerge? And what does the next generation of consumer companies look like? In this conversation, Anish Acharya speaks with Josh Alman about consumer AI, network effects, product design, and why he believes we're entering a new era of consumer innovation. Welcome back to the Andreessen Horowitz podcast. I'm here with a person that I've been friends with for a long time, I admire for a long time, was my investor for a brief time, and now I'm proud to call him partner, Josh Hellman. Welcome. Thanks so much for having me. I'm really excited about this. It's gonna be awesome. Yeah. So, Josh, everybody sort of probably already knows him, but …
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Books, tools, and gear mentioned in this episode
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Tools
by Apple
“Apple's Siri AI differentiates by accessing on-device data — mail, messages, calendar, notes — to answer contextual questions without the user manually providing context.”
“Consumer AI products need to appear when AI assistants recommend solutions to user problems. Alongside creator-driven word-of-mouth, founders should optimize for agent referrals — structuring content and product data so that ChatGPT, Claude, and similar tools surface their product when users describe relevant problems”
“Consumer AI products need to appear when AI assistants recommend solutions to user problems. Alongside creator-driven word-of-mouth, founders should optimize for agent referrals — structuring content and product data so that ChatGPT, Claude, and similar tools surface their product when users describe relevant problems”
Products
company
“Josh Elman, veteran of LinkedIn, Facebook, Twitter, TikTok, and Apple's AI efforts, joins a16z partner Anish Acharya to examine the current state of consumer AI”
“Josh Elman, veteran of LinkedIn, Facebook, Twitter, TikTok, and Apple's AI efforts, joins a16z partner Anish Acharya to examine the current state of consumer AI”
“Josh Elman, veteran of LinkedIn, Facebook, Twitter, TikTok, and Apple's AI efforts, joins a16z partner Anish Acharya to examine the current state of consumer AI”
“ByteDance spent heavily on Facebook and Twitter ads to acquire Musically/TikTok users, but the strategy only worked because the product retained nearly everyone.”
“Josh Elman, veteran of LinkedIn, Facebook, Twitter, TikTok, and Apple's AI efforts, joins a16z partner Anish Acharya to examine the current state of consumer AI”
“Josh Elman, veteran of LinkedIn, Facebook, Twitter, TikTok, and Apple's AI efforts, joins a16z partner Anish Acharya to examine the current state of consumer AI”
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