ben horowitz

Unlike prior tech waves (cars, internet) that required massive physical build-out, AI can be deployed instantly atop existing internet infrastructure, causing broad economic impact within 12-24 months.

Over winter break, AI coding assistants reached an inflection where elite developers describe massive productivity leaps, signaling a fundamental shift in software creation speed and economics.

Real-time AI surveillance and drone deployment improve situational awareness, reduce mistaken-identity confrontations, and restore community trust, making policing safer for officers, suspects, and citizens alike.

Building giant models is an alchemistic art not taught in academia; only researchers from Google, OpenAI, Anthropic, etc. possess the know-how, justifying $100M+ per researcher valuations.

As software eats the world, single-partner VC firms cannot cover the breadth of technology; a16z's evolution into specialized investing teams (bio, crypto, AI) with shared platform services is the winning organizational model.

With public markets demanding $1B+ revenue for IPOs, venture firms must help portfolio companies achieve multi-product, multi-geography, multi-channel scale — capabilities most VCs lack today.

AI tools allow creators to shoot fewer takes and remix elements into final output, lowering costs while raising quality — analogous to hip-hop's sampling revolution that created a new art form.

Just as spreadsheets birthed traditional PE, AI allows buying legacy companies, automating operations, and boosting margins — a compelling but culturally distinct strategy from venture's growth mindset.