May 21, 2022 · 1h 6m · news
Fabrice Grinda: The First Person to Predict the Collapse of Credit Suisse? | 20VC #886 · 20VC with Harry Stebbings
gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
In this episode of 20VC, host Harry Stebbings interviews prominent tech investor Fabrice Grinda, who details his probabilistic macroeconomic outlooks—ranging from stagnation to a severe banking collapse—and explains how FJ Labs adapts its early-stage venture capital strategy to navigate these shifting market conditions.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Harry holds 10.2% of the talking time here. How this is scored →
speaking balance: gold is Harry, purple is the guest (3 minute bins)
Fabrice forcefully refutes Harry's suggestion that technology decouples labor productivity from GDP, stating it is objectively false and explicitly calling out the Luddite argument.
Hardest push from Harry ▶ 4:44 Harry Challenges Founder FundsHarry directly challenges the ethics and focus of hyper-growth CEOs raising external LP venture funds, refusing to accept it as a reasonable practice.
Biggest teaching moment ▶ 45:20 Fabrice's Historical Employment MasterclassFabrice re-educates Harry using 20 years of tech history, explaining how destroying top job categories in 1999 created higher overall employment and productivity by 2019.
Harry holds his own ▶ 23:25 Harry Attributes 2008 Startups to Mobile ShiftHarry pushes back on Fabrice's macro-driven explanation of 2008 startup creation, demonstrating high expertise by pointing to the mobile platform shift as the real driver.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Harry as informed peer | Guest teaching | Guest disagreement | Harry pushing back | Why |
|---|---|---|---|---|---|---|
| Changes in Venture Investing and Founder Funds | 5 | 3 | 2 | 6 | Harry directly challenges the premise of hyper-growth founders raising external LP funds, arguing it distracts from their core mandate. Fabrice responds cooperatively by explaining time allocation frameworks and reflecting on his own founder-investor history. | |
| The Macro Environment and The Great Unknown | 2 | 4 | 1 | 1 | Harry asks a broad opening macro question, stepping back to let Fabrice outline his probabilistic three-scenario economic framework. The host acts as an active listener while the guest educates on macro cycles. | |
| Scenario 1: The Optimistic Case | 2 | 4 | 1 | 1 | Fabrice lays out the optimistic scenario, explaining how discount rates impact tech valuations and how supply chains could normalize post-COVID. Harry prompts the discussion with minimal pushback or counter-arguments. | |
| Historical Progress and VC Capital Overhang | 7 | 3 | 2 | 6 | Harry demonstrates strong market expertise by arguing that 2008 breakout startups were driven by the mobile platform shift rather than macro factors, and questions Insight Partners' $20B fund size. Fabrice counters calmly by pointing to historical capital cycles. | |
| Scenario 2: The Great Stagnation | 3 | 4 | 1 | 2 | Fabrice details the 60% probability Great Stagnation case involving persistent inflation and negative real interest rates. Harry guides the conversation with questions about central bank policy and VC market impacts without challenging Fabrice's thesis. | |
| Scenario 3: The Worst-Case and Credit Suisse Collapse | 6 | 7 | 5 | 5 | Fabrice presents his worst-case scenario, including predicting the collapse of Credit Suisse due to bad assets. Harry challenges him on IMF intervention and quotes Howard Marks on labor productivity, prompting Fabrice to forcefully reject the Luddite argument. | |
| Venture Opportunities and Quickfire Round | 4 | 3 | 2 | 3 | Harry conducts a quickfire round covering books, anti-bureaucracy mindset shifts, historical misses, and check sizes. Harry lightly teases Fabrice about check size access, while Fabrice candidly admits his insecurity regarding small deployment sizes. |