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What Makes a Consumer AI Product Stick? | Josh Elman

Technology
United States
Iniciado September 20, 2026

a16z Partner Josh Elman joins Ollie Forsyth on New Economies to discuss the next wave of consumer AI and what separates a product people try once from one that becomes part of their everyday lives. Josh argues that getting attention has actually become easier, but getting consumers to stick is harder than ever. He explains what he looks for in consumer products, why the best ones start with a narrow wedge and earn the right to do more, and why trust becomes increasingly important as AI agents...

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CLAIM Publicado por admin • Sep 20, 2026
Consumer AI products must prioritize user trust to achieve long-term engagement.

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CLAIM Publicado por admin • Sep 20, 2026
Many consumer AI products fail because they do not provide clear value beyond initial novelty.

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CLAIM Publicado por admin • Sep 20, 2026
Consumer AI products face increasing challenges in user retention despite initial engagement.

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CLAIM Publicado por admin • Sep 20, 2026
Paid subscription models for AI products will never achieve mainstream adoption because consumers expect free trials to become free products.

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CLAIM Publicado por admin • Sep 20, 2026
Whether or not an AI product is flashy, it must demonstrate clear, measurable value in the user's first five interactions.

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CLAIM Publicado por admin • Sep 20, 2026
Consumer AI products should continuously adapt based on user feedback to ensure relevance and stickiness.

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CLAIM Publicado por admin • Sep 20, 2026
Consumer trust in AI erodes faster than trust in other software because AI failures feel unpredictable and opaque.

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CLAIM Publicado por admin • Sep 20, 2026
Regardless of how capable an AI is, users will abandon it if the interface creates friction or requires too much cognitive effort.

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CLAIM Publicado por admin • Sep 20, 2026
Consumer AI products should be designed to seamlessly integrate into daily routines for better adoption.

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CLAIM Publicado por admin • Sep 20, 2026
Most consumer AI products fail because they try to do too much instead of solving one problem exceptionally well.

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