Josh Kushner - Concentration and Conviction - [Invest Like the Best, EP.459]
Episode
63 min
Read time
3 min
Topics
Productivity, Relationships, Investing
AI-Generated Summary
Key Takeaways
- ✓Concentration as Strategy: Thrive maintains extreme portfolio concentration to enable deep involvement with each company. When criticized for investing $1.8 billion in Stripe at a $50 billion valuation during the 2022 downturn, Kushner called Stan Druckenmiller who responded that concentration is always right if you pick correctly. This forces rigorous selection discipline and creates bandwidth for meaningful partnership rather than transactional relationships.
- ✓Team Size Philosophy: Thrive keeps its investment team deliberately small because respect enables productive conversations focused on finding right answers rather than politics. Every person across legal, finance, compliance, and engineering represents a 10x performer with full transparency into investment decisions. This structure creates collective ownership where non-investment staff feel responsible for and take pride in every investment decision made.
- ✓GitHub Conviction Building: After investing $20 million in GitHub at $500 million valuation in 2014, Thrive doubled down when the CEO departed and most of the leadership team left. By spending intensive time building context rather than relying on external perception, Thrive became the only buyer of secondary shares and eventually owned 10 percent, generating massive returns when Microsoft acquired the company.
- ✓Market Timing Discipline: Kushner describes investment management as race car driving requiring knowing when to drive at speed limit, when to pull over and change tires, and when to look both ways and floor the accelerator. Thrive sold heavily in 2021 then deployed aggressively in 2022-2023 into Stripe, OpenAI, and Ramp when others retreated, demonstrating conviction to act counter-cyclically.
- ✓AI Investment Framework: Thrive focuses on three categories: AI-native businesses including generalized labs like OpenAI and domain-specific models in robotics and drug development; infrastructure that benefits from AI like Databricks and Stripe for agentic commerce; and the holdings business transforming traditional companies with applied AI. Application layer investments require reinforcement learning, memory systems, and user preference understanding to create defensibility.
What It Covers
Josh Kushner, founder of Thrive Capital managing $50 billion, explains his concentrated investment strategy behind iconic deals including Instagram, Stripe, GitHub, and OpenAI. He details how Thrive maintains a deliberately small team, writes billion-dollar checks at unconventional stages, and builds competitive advantage through deep founder partnerships and a new holdings business applying AI to transform traditional companies.
Key Questions Answered
- •Concentration as Strategy: Thrive maintains extreme portfolio concentration to enable deep involvement with each company. When criticized for investing $1.8 billion in Stripe at a $50 billion valuation during the 2022 downturn, Kushner called Stan Druckenmiller who responded that concentration is always right if you pick correctly. This forces rigorous selection discipline and creates bandwidth for meaningful partnership rather than transactional relationships.
- •Team Size Philosophy: Thrive keeps its investment team deliberately small because respect enables productive conversations focused on finding right answers rather than politics. Every person across legal, finance, compliance, and engineering represents a 10x performer with full transparency into investment decisions. This structure creates collective ownership where non-investment staff feel responsible for and take pride in every investment decision made.
- •GitHub Conviction Building: After investing $20 million in GitHub at $500 million valuation in 2014, Thrive doubled down when the CEO departed and most of the leadership team left. By spending intensive time building context rather than relying on external perception, Thrive became the only buyer of secondary shares and eventually owned 10 percent, generating massive returns when Microsoft acquired the company.
- •Market Timing Discipline: Kushner describes investment management as race car driving requiring knowing when to drive at speed limit, when to pull over and change tires, and when to look both ways and floor the accelerator. Thrive sold heavily in 2021 then deployed aggressively in 2022-2023 into Stripe, OpenAI, and Ramp when others retreated, demonstrating conviction to act counter-cyclically.
- •AI Investment Framework: Thrive focuses on three categories: AI-native businesses including generalized labs like OpenAI and domain-specific models in robotics and drug development; infrastructure that benefits from AI like Databricks and Stripe for agentic commerce; and the holdings business transforming traditional companies with applied AI. Application layer investments require reinforcement learning, memory systems, and user preference understanding to create defensibility.
- •Holdings Business Model: Thrive created a permanent capital vehicle to acquire traditional businesses and transform them using AI, based on the thesis that disruption now happens inside-out rather than outside-in. Companies possess proprietary data and domain experts needed to fine-tune models effectively. This structure aims to create differentiated cost of capital at scale, making Thrive resemble the technology companies it backs rather than traditional investment firms.
Notable Moment
After Instagram sold to Facebook for $1 billion just days after Thrive invested $12 million from a $40 million fund, Kushner expected congratulations. Instead, John Winkelried called and said he would give Kushner the greatest lesson: never believe your own bullshit. Kushner printed this on Post-it notes for every team member's computer, establishing intellectual honesty as foundational to Thrive's culture.
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 chasing receipts, 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 This is my second conversation with Josh Kushner, founder and managing partner of Thrive Capital. I recorded this conversation with Josh back in October after we published the Colossus cover story …
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Books, tools, and gear mentioned in this episode
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Tools
“SPONSORS: WorkOS, https://workos.com”
“SPONSORS: Vanta, https://vanta.com/invest”
“SPONSORS: Rogo AI, https://rogo.ai/invest”
“SPONSORS: Ridgeline, https://ridgelineapps.com”
company
“Thrive sold heavily in 2021 then deployed aggressively in 2022-2023 into Stripe, OpenAI, and Ramp when others retreated.”
“After Instagram sold to Facebook for $1 billion just days after Thrive invested $12 million from a $40 million fund.”
- StripeBy guest
“When criticized for investing $1.8 billion in Stripe at a $50 billion valuation during the 2022 downturn.”
- Thrive CapitalBy guest
“Josh Kushner, founder of Thrive Capital managing $50 billion, explains his concentrated investment strategy behind iconic deals including Instagram, Stripe, GitHub, and OpenAI.”
- GitHubBy guest
“After investing $20 million in GitHub at $500 million valuation in 2014, Thrive doubled down when the CEO departed.”
- OpenAIBy guest
“Thrive sold heavily in 2021 then deployed aggressively in 2022-2023 into Stripe, OpenAI, and Ramp when others retreated.”
“Infrastructure that benefits from AI like Databricks and Stripe for agentic commerce.”
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