Ben Horowitz - Backing America’s Future - [Invest Like the Best, EP.457]
Episode
55 min
Read time
3 min
Topics
Productivity, Relationships, Startups
AI-Generated Summary
Key Takeaways
- ✓Culture as behavior: Culture cannot be defined through platitudes like integrity or teamwork. It must specify exact behaviors that manifest values. At Andreessen Horowitz, respecting entrepreneurs means never being late to meetings, responding within defined SLAs, always explaining rejections, and surveying entrepreneurs post-decline. Employees who make entrepreneurs look bad to elevate themselves face termination. This behavioral specificity, learned from samurai Bushido principles, creates actionable cultural standards rather than meaningless corporate values.
- ✓AI researcher scarcity: Building large AI models requires hands-on experience at companies like Google, Facebook, OpenAI, or Anthropic with hundreds of millions in training budget. This knowledge cannot be learned academically because model training remains somewhat alchemistic and artistic. Only approximately forty people globally possess this expertise, explaining seemingly irrational compensation reaching hundreds of millions or billions per researcher. This scarcity created unprecedented talent economics in technology history.
- ✓Venture capital product shift: Traditional venture capital optimized for limited partners, not entrepreneurs. Andreessen Horowitz differentiated by building services helping founders gain confidence, knowledge, networks, and skills to run companies themselves. This founder-focused product, combined with aggressive marketing when competitors stayed silent, enabled breaking into top-tier venture despite the industry's reputation-based barriers that had prevented new top firms since Benchmark's 1995 founding.
- ✓Technology versus policy solutions: Technology solutions consistently outperform policy interventions across domains. COVID vaccines proved more effective than lockdowns. Safe nuclear energy addresses climate change better than emissions regulations that fail when non-participants like China continue polluting. AI-powered policing reduces crime and police shootings more effectively than defund-the-police movements. Entrepreneurs building technological solutions to problems create more impact than government policy changes attempting similar outcomes.
- ✓Las Vegas policing transformation: Deploying drones, AI cameras, and Prepared 911 technology in Las Vegas reduced crime over fifty percent and police shootings of suspects nearly seventy-five percent. AI cameras provide precise vehicle identification, eliminating dangerous confrontations from mistaken identity during traffic stops. Drones arrive within ninety seconds of incidents, streaming video to nearby officers' phones. This intelligence makes policing safer for suspects, citizens, and officers while attracting higher-quality recruits.
What It Covers
Ben Horowitz discusses America's competitive position in technology, Andreessen Horowitz's mission to shape the country's trajectory, and how AI creates unprecedented opportunities to solve major problems. He shares lessons from mentors Andy Grove and his father, explains venture capital evolution since 2009, and details his personal funding of AI-powered policing technology in Las Vegas.
Key Questions Answered
- •Culture as behavior: Culture cannot be defined through platitudes like integrity or teamwork. It must specify exact behaviors that manifest values. At Andreessen Horowitz, respecting entrepreneurs means never being late to meetings, responding within defined SLAs, always explaining rejections, and surveying entrepreneurs post-decline. Employees who make entrepreneurs look bad to elevate themselves face termination. This behavioral specificity, learned from samurai Bushido principles, creates actionable cultural standards rather than meaningless corporate values.
- •AI researcher scarcity: Building large AI models requires hands-on experience at companies like Google, Facebook, OpenAI, or Anthropic with hundreds of millions in training budget. This knowledge cannot be learned academically because model training remains somewhat alchemistic and artistic. Only approximately forty people globally possess this expertise, explaining seemingly irrational compensation reaching hundreds of millions or billions per researcher. This scarcity created unprecedented talent economics in technology history.
- •Venture capital product shift: Traditional venture capital optimized for limited partners, not entrepreneurs. Andreessen Horowitz differentiated by building services helping founders gain confidence, knowledge, networks, and skills to run companies themselves. This founder-focused product, combined with aggressive marketing when competitors stayed silent, enabled breaking into top-tier venture despite the industry's reputation-based barriers that had prevented new top firms since Benchmark's 1995 founding.
- •Technology versus policy solutions: Technology solutions consistently outperform policy interventions across domains. COVID vaccines proved more effective than lockdowns. Safe nuclear energy addresses climate change better than emissions regulations that fail when non-participants like China continue polluting. AI-powered policing reduces crime and police shootings more effectively than defund-the-police movements. Entrepreneurs building technological solutions to problems create more impact than government policy changes attempting similar outcomes.
- •Las Vegas policing transformation: Deploying drones, AI cameras, and Prepared 911 technology in Las Vegas reduced crime over fifty percent and police shootings of suspects nearly seventy-five percent. AI cameras provide precise vehicle identification, eliminating dangerous confrontations from mistaken identity during traffic stops. Drones arrive within ninety seconds of incidents, streaming video to nearby officers' phones. This intelligence makes policing safer for suspects, citizens, and officers while attracting higher-quality recruits.
Notable Moment
Horowitz reveals Andy Grove's unconventional management approach at Intel: Grove took over the lowest-performing Santa Clara facility, placed toilet paper under his desk during the first meeting, and when managers offered excuses, pulled out the roll telling them to clean up their nonsense and report when they'd meet standards. Within two months, the facility became Intel's highest-rated and remained so.
Episode Transcript
Most software companies try to maximize your time on their app to juice engagement. Ramp does the exact opposite. Ramp understands that no one wants to spend hours filing expense reports, reviewing expense reports, and checking for policy violations. So they built their tools to give that time back, using AI to automate 85% of expense reviews with 99% accuracy. And since Ramp saves companies 5%, it's no wonder that Shopify runs on Ramp, Stripe runs on Ramp, and my business does too. To see what happens when you eliminate the busy work, check out ramp.com/invest. OpenAI, Cursor, Anthropic, Perplexity, and Vercel all have something in common. They all use Work OS. And here's why. To achieve enterprise adoption at scale, you have to deliver on core capabilities like SSO, SCIM, RBAC, and audit logs. That's where WorkOS comes in. Instead of spending months building these mission critical capabilities yourself, you can just use WorkOS APIs to gain all of them on day zero. That's why so many of the top AI teams you hear about already run on WorkOS. WorkOS is the fastest way to become enterprise ready and stay focused on what matters most, your product. Visit workos.com to get started. Every investor should know about Rogo because Rogo AI's platform is not just another generic chatbot. Instead, it was designed to support how Wall Street bankers and investors actually work, from sourcing diligence and modeling to turning analysis into deliverables. For me, three key things differentiate Rogo. First, it connects directly to your system so it can work with your actual data. Second, it understands your workflows, how work really happens across a deal or an investment. And third, it runs end to end and produces real outputs the way the best people do. Auditable spreadsheets, investment memos, diligence materials, and slide decks that match your standards. This all comes from the fact that Rogo is built by finance professionals for finance professionals, and it's already being adopted by some of the most demanding institutions in the world. To learn more, visit rogo.ai/invest. Hello, and welcome, everyone. I'm Patrick O'Shaughnessy, and this is Invest Like the Best. This show is an open ended exploration of markets, ideas, stories, and strategies that will help you better invest both your time and your money. If you enjoy these conversations and wanna go deeper, check out Colossus, our quarterly publication with in-depth profiles of the people shaping business and investing. You can find Colossus along with all of our podcasts at colossus.com. Patrick O'Shaughnessy is the CEO of Positive Sum. All opinions expressed by Patrick and podcast guests are solely their own opinions and do not reflect the opinion of Positive Sum. This podcast is for informational purposes only and should not be relied upon as a basis for investment decisions. Clients of Positive Sum may maintain positions in the securities discussed in this podcast. To learn more, visit psum.vc. My guest today is Ben Horowitz, the cofounder of Andreessen …
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Products
“Deploying drones, AI cameras, and Prepared 911 technology in Las Vegas reduced crime over fifty percent and police shootings of suspects nearly seventy-five percent.”
company
“Building large AI models requires hands-on experience at companies like Google, Facebook, OpenAI, or Anthropic with hundreds of millions in training budget.”
“Building large AI models requires hands-on experience at companies like Google, Facebook, OpenAI, or Anthropic with hundreds of millions in training budget.”
“This founder-focused product, combined with aggressive marketing when competitors stayed silent, enabled breaking into top-tier venture despite the industry's reputation-based barriers that had prevented new top firms since Benchmark's 1995 founding.”
“Building large AI models requires hands-on experience at companies like Google, Facebook, OpenAI, or Anthropic with hundreds of millions in training budget.”
- Andreessen HorowitzBy guest
“At Andreessen Horowitz, respecting entrepreneurs means never being late to meetings, responding within defined SLAs, always explaining rejections, and surveying entrepreneurs post-decline.”
“Building large AI models requires hands-on experience at companies like Google, Facebook, OpenAI, or Anthropic with hundreds of millions in training budget.”
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