Agentic AI and What's Coming for Consumer Tech
summary
Consumer apps move from rule-based funnels to agentic systems that manage four concrete assets: surrogate models, embeddings, edges, and weights. Claims: agents personalize every engagement without engineering choke points, run cross-user experiments, and cut message volume while raising conversions (example: a unicorn health app using Aampe). Data points: 260,000 SKUs added in one year on a leading commerce platform, 2,500 meditation apps launched since 2017, Spotify tracks ~6,000 micro-genres and Netflix manages ~3,000 tags to drive richer recommendations.
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chapters (10)
- 0:00Introduction to agentic AI
- 1:36Attention economy challenge
- 3:41Limitations of Software 1.0
- 5:03Software 2.0 and agentic AI
- 6:48Surrogate models for user journeys
- 9:36Embeddings for user representation
- 11:25Edges and product inventory
- 13:53Rich data tags and signals
- 15:17Future of chatbots and systems
- 15:38Key takeaways and conclusion
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