Generative Now | AI Builders on Creating the Future

Scott Belsky & Steve Jang: From AI Chatbots to Copilots

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Jul 17, 2025

Scott Belsky, a partner at A24 and founder of A24 Labs, along with Steve Jang, co-founder of Kindred Ventures, discuss the future of consumer AI. They explore how personal AI can enhance human connections and memory, while also addressing the challenges of data ownership. The conversation shifts to the evolution of AI hardware and the potential of AI-powered browsers. They envision a future where AI acts as a co-pilot, enriching user experiences and creating new opportunities for app developers.

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00:00 / 00:00

Skeuomorphic Phase of AI Products

Most current consumer AI products resemble chatbots, reflecting a skeuomorphic phase similar to early smartphone designs.
True innovation in AI products will likely address deep psychological consumer needs like connection and self-improvement.

00:00 / 00:00

Simulated AI Versions of Self

Future AI may simulate versions of ourselves to debate and explore ideas independently.
This could offer a novel social experience allowing observation and plausible deniability of our AI counterparts.

00:00 / 00:00

AI Proxies and Replicas

Some companies build AI proxies of influencers by ingesting all their content for interactive Q&A.
Others create biographical AI replicas to preserve and converse with an individual's life stories.

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In this episode of Generative Now, Lightspeed Partner Michael Mignano sits down with two co-investors: Steve Jang, Co-Founder and Partner at Kindred Ventures, and Scott Belsky, Partner at A24 and founder of A24 Labs. Together they explore the current state and future of consumer AI, from why most products still look like chatbots, to what’s next in AI-powered hardware, browsers, and personal agents. They dive into the concept of “personal AI,” discussing memory, context, and the emerging opportunities (and risks) around consumer data and model control. They also touch on use cases like AI-powered dating wingmen, simulated versions of ourselves, and the next generation of AI-first operating systems.

Episode Chapters:

(00:00) Welcome and Introductions

(00:43) The Current State of AI Products

(02:48) Surprises and Challenges with LLMs

(05:24) Future of Consumer AI and Personal AI

(15:49) Memory and Personalization in AI

(21:52) Potential Risks and Business Models

(24:22) The Battle for User Data in AI

(25:11) Optimism in AI Model Inference

(27:00) The Role of Open Source Models

(28:13) The Future of AI Hardware

(28:54) Challenges and Opportunities in AI Hardware Startups

(30:29) The Evolution of Consumer Hardware

(38:36) The Reinvention of Browsers

(46:23) The Potential of AI-Enhanced Browsers

(47:54) Conclusion and Final Thoughts

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