Why Education Has to Change
a16z · 2026-09-22 · 43 min
https://www.youtube.com/watch?v=Z4x71naDx1QVideo summary
Ben Horowitz and Gagan Biyani launch Horowitz Andreessen Academy, a San Francisco school built around AI-era projects and real-world skills.
Ben Horowitz, Erik Torenberg, and Gagan Biyani introduce Horowitz Andreessen Academy, a new, for-profit school for young people who want to build rather than pursue a traditional degree. They argue that college is costly and slow to adapt as AI reshapes work, so education should prioritize hands-on projects, focused instruction, and direct exposure to companies and experienced builders. Based in San Francisco, the academy plans to connect students with Silicon Valley’s networks while developing people skills through collaboration, internships, and learning by doing. Its first fellowship class is expected to include 50 students, reflecting what the founders describe as a highly varied Gen Z generation. They emphasize curiosity over rote grades and say AI should enable more ambitious challenges, not be banned. Success in five years means graduates with fulfilling careers, promising ventures, and a model that can expand beyond technology into creative fields.
Chapters
- 0:00Intro: Ben compares the AI era to Thomas Edison and Henry Ford’s time
- 1:05Introducing Horowitz Andreessen Academy: A focused tech path for builders, with Gagan Biyani as co-founder
- 5:46Introducing Horowitz Andreessen Academy: Hands-on learning for builders in the AI era
- 10:55Introducing Horowitz Andreessen Academy: Company access and new opportunities for 18-year-old builders
- 15:26Why Experience Still Matters When It’s So Easy to Build: Silicon Graphics, people skills, and a 50-builder cohort
- 23:18Why California: Over 80% of connected companies are nearby, amid San Francisco’s builder culture
- 26:44Why Make Academy a Separate Company: Independence to expand beyond tech into music and medicine
- 28:45Why It Had to Be For-Profit: Putting students first and inviting Harvard to copy the model
- 31:01Curiosity as the Core: From Grades to AI-Enabled Projects
- 35:15People Skills: Why Founders Must Practice Teamwork and Conflict
- 37:29What’s Worth Working On at 18: Find Hard Problems and Learn from Failure
- 40:34Five Years From Now: Graduates, Broader Access, and AI-Powered Creativity
This is a Tier 1 public summary
Whether the chapter key points, section summaries and mind map are public is up to the person who shared it. Want the full analysis?Submit one yourself.
More from this channel
How Cursor Built One of AI’s Fastest-Growing Companiesa16zCursor bet on the human-model interface, grew rapidly without early sales hires, and later expanded through Graphite and founder acquisitions.
Why Top Founders Are Racing Into AI Infrastructurea16za16z’s Machine Age Fund targets AI infrastructure as GPU supply is booked to 2028 and memory demand needs three years of capacity.
Why AI Demand Is Outrunning Compute Supplya16zGavin Baker argues AI compute demand will outpace supply, with sub-one-year infrastructure paybacks and orbital data centers approaching.
What Today’s Best Models Still Can’t Do in Matha16zDaniel Litt praises AI’s Erdős unit-distance result but warns that proofs alone cannot replace mathematical understanding or human curiosity.
Inside Moderna’s Biggest mRNA Test Since COVIDa16zModerna and Merck’s personalized mRNA vaccine beat Keytruda alone in a Phase 3 melanoma trial, after 1,000 cancer-vaccine trials failed.
Related analyses
Replit CEO Amjad Masad on What Young People Should Learn in the AI Eraa16zReplit CEO Amjad Masad argues college should reward curiosity over grades, while AI reshapes learning and companies.
Patrick Collison: Is AI Breaking the Lean Startup Playbook?Y CombinatorPatrick Collison says Stripe’s new-business starts are nearly 2x year over year, making this a better time than ever to found a company.
Inside the Race to Measure Frontier Intelligencea16zVals CEO Rayan Krishnan argues private evaluations exposed Llama 4’s benchmark gap and can help companies measure AI performance and ROI.
How to Spot Exceptional Talent Before Everyone Elsea16za16z’s Cosign turns mentors, trusted colleagues, and early talent bets into durable professional reputation signals.
Anthropic IPO at Risk, Meta’s Muse Pop, Token Prices Fall, Open Source Gains Share, Alignment FailsAll-In PodcastMeta Muse hit No. 1 with 3 million downloads as open AI models captured 80% of token use, putting Anthropic’s IPO at risk.