The State of Consumer Tech in the Age of AI

In this episode, a16z General Partner Erik Torenberg is joined by the a16z Consumer team—General Partner Anish Acharya and Partners Olivia Moore, Justine Moore, and Bryan Kim—for a conversation on the current state (and future) of consumer tech. They unpack why it feels like breakout consumer apps have slowed down, how AI is changing the game, and what might define the next era of products. Topics include: - The rise of AI-native consumer tools and companion apps - Why users are now spending $200+/month on AI products - The missing AI-powered social graph - Why speed and iteration may matter more than traditional moats - And what it means to build for a world where software touches everything From shifting business models to new behavior patterns, this is your pulse check on where we are—and where consumer is heading next. Timecodes: 00:00 Introduction to Consumer AI 00:28 The Evolution of Consumer Breakouts 03:18 The Shift in Consumer Spending 08:00 The Future of Social Networks with AI 13:00 Enterprise Adoption of AI 20:42 The Rise of Voice Technology 23:06 AI's Role in Enterprise Conversations 25:25 AI in Education and Personal Development 26:34 AI Companions: The New Norm 31:52 The Future of AI Companions 38:50 Speculating on New AI Platforms 42:07 The Social Norms of AI Integration Resources: Find Anish on X: https://x.com/illscience Find Olivia on X: https://x.com/omooretweets Find Justine on X: https://x.com/venturetwins Find Bryan on X: https://x.com/kirbyman01 Stay Updated: Let us know what you think: https://ratethispodcast.com/a16z Find a16z on Twitter: https://twitter.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Subscribe on your favorite podcast app: https://a16z.simplecast.com/ 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 a16z.com/disclosures.

Justine MooreguestBryan KimguestAnish AcharyaguestErik TorenberghostOlivia Mooreguest

Jun 5, 202543mWatch on YouTube ↗

WHAT IT’S REALLY ABOUT

AI reshapes consumer tech: spending, social, voice, companions, platforms ahead

Recent consumer “breakouts” haven’t disappeared so much as shifted into AI tools like ChatGPT, Midjourney, and ElevenLabs that lack classic social-network dynamics but show massive adoption and monetization.
Consumer AI monetization is structurally different: higher price points, upgrades/overages, and revenue retention that can exceed user retention because products directly “do work” for users.
The biggest unmet whitespace is AI-native connection/social: current AI creativity trends mostly ride on legacy platforms, and skeuomorphic “AI Instagram/Twitter” clones lack real emotional stakes.
Enterprise is unexpectedly adopting many AI capabilities (especially voice) early, often driven by consumer virality that turns into enterprise lead generation and workflow lock-in.
AI companions are expanding from chat-based friends/girlfriends into broad “always-available counsel” (therapy, coaching, education, nutrition, social practice), raising new cultural norms around always-on recording and AI mediation.

IDEAS WORTH REMEMBERING

5 ideas

AI winners may monetize earlier and at much higher price points than past consumer apps.

They cite consumers paying $200/month (even $250/month) because AI replaces hours of labor (e.g., “Deep Research” outputs) or enables new creative capabilities (video, voice) with immediate value.

Defensibility is shifting from classic moats to shipping velocity and staying on the quality frontier.

The group argues that rapid iteration, model upgrades, and mindshare convert into revenue, which then funds continued velocity—creating a compounding loop even before strong network effects appear.

Revenue retention can outpace user retention in AI subscriptions.

Unlike older consumer subscriptions with static pricing, AI products introduce upgrades, credits, and overages, meaning fewer users can still translate to more revenue as power users expand spend.

AI is pulling consumer discretionary spend into “software” across entertainment, creativity, and relationship intermediation.

They predict budgets increasingly resemble “food, rent, software,” as generative tools subsume activities previously paid for outside software (content, experiences, even aspects of relationships).

AI social is still unsolved because emotional stakes are hard to manufacture with fully generated content.

A feed of perfect AI-generated images of you can feel hollow; the panel suggests a durable AI-native social network likely needs new mechanics beyond replicating Instagram/Twitter formats.

WORDS WORTH SAVING

5 quotes

The great thing about consumer is it's completely unpredictable, and the best products emerge, like out of nowhere.

— Justine Moore

I've sort of come around that in that in we're living in this early era of AI where velocity is the moat.

— Bryan Kim

It seems like every part of consumer discretionary spend is gonna be overtaken by software, and I think, you know, in the future, you're gonna see consumer spend be like food, rent, software, and that's kinda where we're going, what Justine's speaking to.

— Anish Acharya

I pour my heart and soul into ChatGPT. It knows more about me than probably Google, potentially-

— Bryan Kim

I think that like, in some ways, that's sort of like the peak value of AI, is, is like enabling better human connection.

— Justine Moore

AI consumer breakouts vs legacy social paradigmsDefensibility and “velocity as the moat”Consumer spending shift toward software subscriptionsAI-native social networks and emotional stakesEnterprise pull-through from consumer viralityVoice as a primary AI interface for businessAI companions, parasociality, and new social normsNew devices: pins, AirPods, glasses, on-device modelsSynthetic personas/clones and profiles that “contain what you know”

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