Post #4005

Тоже про агенты, но с другого угла Light Cone Podcast - Vertical AI Agents Discussion Timestamps Introduction & Historical Context (0:00-4:04) - 0:00 - Discussion of progression in AI capabilities over 3-month periods - 0:05 - Introduction to vertical AI agents replacing enterprise teams - 0:17 - Evolution from OpenAI dominance to competitive landscape - 0:44 - Introduction of hosts Gary, Jared Harge, and Diana - 1:04 - Jared's enthusiasm about vertical AI potential - 1:28 - Prediction of $300B+ companies in vertical AI category SaaS Industry Analysis (4:04-9:09) - 4:04 - Historical context of SaaS evolution - 4:44 - XML HTTP request as catalyst for SaaS boom - 5:41 - Three categories of successful SaaS companies: 1. Obviously good mass consumer products (won by incumbents) 2. Non-obvious mass consumer ideas (won by startups) 3. B2B SaaS companies (300+ successful companies) - 7:53 - Discussion of why incumbents didn't enter certain markets - 8:47 - Analysis of Uber's early regulatory risks B2B SaaS Deep Dive (9:09-12:28) - 9:09 - Analysis of why incumbents didn't dominate B2B SaaS - 10:34 - Discussion of bundling vs. unbundling in software - 11:35 - Enterprise software pricing models - 11:51 - Problems with traditional enterprise software Employee Count Changes (12:28-16:25) - 12:28 - How AI might change company employee scaling - 13:02 - Current unicorn employee counts (500-2000 employees) - 13:31 - Shifting hiring priorities with AI - 14:43 - Historical perspective on company building - 15:45 - Example of engineering approach to marketing Vertical AI Examples & Analysis (16:25-24:22) - 16:25 - Case for 300 vertical AI unicorns - 17:01 - Discussion of enterprise uncertainty about AI needs - 18:30 - Consumer vs. enterprise adoption patterns - 19:50 - Why vertical AI could be bigger than SaaS - 21:37 - Real examples of vertical AI companies - 23:53 - Case study of QA testing automation Customer Support & Specialization (24:22-29:01) - 24:22 - Analysis of AI in customer support - 25:51 - Example of developer support automation - 26:30 - Discussion of Power Help case study - 27:42 - Importance of vertical specialization - 28:38 - Why specialized solutions win over general ones Management & Scale (29:01-35:22) - 29:01 - Discussion of Coase's theory of the firm - 30:02 - Rippling case study - 31:06 - AI's impact on Dunbar's number - 32:16 - Example of AI-powered employee communication - 33:43 - Rippling's organizational structure Voice AI & Industry Evolution (35:22-40:04) - 35:22 - Discussion of AI voice companies - 36:17 - Case study of Salient in auto lending - 37:31 - Evolution of voice AI capabilities - 38:11 - Historical perspective on LLM applications - 39:23 - Rate of AI progress analysis Closing Thoughts (40:04-41:53) - 40:04 - Advice for founders on choosing verticals - 40:19 - Importance of finding boring, repetitive admin work - 41:34 - Final analogies to robotics - 41:47 - Closing remarks about targeting "butter passing jobs"