E54: Spread trading big tech, capital allocation, Zillow's misfire, Progressives suffer losses

Microsoft "Woke" Intro Incident

• Microsoft employees in a developer video introduced themselves by listing physical traits (skin tone, hair, pronouns) and reciting 10 Native American tribes associated with their campus land.
• The internet reacted with mockery, interpreting the intros as "woke capitalism" and virtue signaling, noting that visually impaired users do not require knowledge of race or eye color.
• Microsoft claimed the practice was for accessibility (visually impaired users), but hosts argued this explanation was false because:
  • Blind users cannot perceive color terms like "blue" or "white."
  • Identifying race is irrelevant to audio navigation.
  • The segment included obscure tribe names not typically needed for accessibility contexts.
• Hosts characterized the incident as a failure of context and a reaction to political pressure rather than a genuine accessibility tool.

Investment Strategy: Big Tech Spread Trades

• Chamath Palihapitiya recommends a "spread trade" rather than naked long/short positions to manage market risk.
• The proposed trade structure is:
  • Long: Microsoft and Google (viewed as the safest, most liquid, and dominant platforms).
  • Short: A basket of other Big Tech companies (Apple, Amazon, Facebook, Netflix, Meta).
• Rationale for Long Positions:
  • Google: Described as the "safest" due to its dual revenue streams (search platform + app ecosystem) and $10B annual agreement with Apple for default search status on iOS.
  • Microsoft: Possesses massive distribution and bundling advantages that allow it to compete with standalone productivity apps (e.g., Notion) even with 80% feature parity.
• Rationale for Short Positions:
  • Apple: Facing headwinds from inflation, margin compression, and supply chain issues.
  • Amazon: Suffering from reduced pricing power and increased competition.
  • Facebook: Under pressure from regulatory oversight.
• Market Mechanics: The trade relies on liquidity and the low cost of borrowing shares for shorting in highly liquid markets, allowing for significant capital deployment with reduced volatility risk compared to individual stock bets.
• Hosts dismissed unrelated spread trades (e.g., Airbnb vs. airlines) as too random, emphasizing the need for correlated assets within the same sector to neutralize market-wide volatility.

Airbnb IPO and VC Distribution

• Bird (e-scooter company) listed on the NYSE under the ticker "BRDS," marking David Sacks' first venture as a lead VC.
• IPO Details:
  • Company valuation: Approximately $2.4 billion (300 million shares outstanding).
  • Performance: Q2 revenue of $60 million with a gross profit margin of ~27%.
  • Status: Near profitability with a loss of $12 million in Q2.
  • Model Pivot: Shifted from direct operations to a "fleet manager" model, allowing local entrepreneurs to own and manage scooters with financing.
• VC Distribution Strategy:
  • Craft Ventures (Sacks) plans a six-month lockup before deciding whether to distribute shares to LPs or hold for capital appreciation.
  • Chamath Palihapitiya advocates for distributing shares to LPs immediately to let them decide their own exit timing, rather than holding.
  • Discussion on "Evergreen Funds":
    • Chamath praises the concept for allowing capital recycling without fundraising cycles but notes the difficulty of context-switching between private VC and public equity management.
    • He cites Tiger Global's separation of public (Chase Coleman) and private (Scott Schleifer) investment teams as evidence that few individuals can master both.
    • Sequoia's move to an evergreen fund may stem from regret over early exits (e.g., selling Google shares too early) rather than a structural preference.

Production Studios and DAOs

• David Friedberg explained the "Production" studio model, which functions as a permanent capital vehicle (similar to Berkshire Hathaway) to avoid short-term exit pressures.
• Key Features of Production:
  • Capital gains are reinvested into new ventures rather than distributed to LPs.
  • Avoids the "hurdle rate" mindset that forces early exits to satisfy LPs seeking quick returns.
  • Enables high-risk, long-term bets in technical and difficult fields (e.g., space, biotech).
• DAOs in Venture Capital:
  • Hosts debated the viability of Decentralized Autonomous Organizations (DAOs) for early-stage investing.
  • Consensus: DAOs currently fail at fund management because decentralized voting bodies lack the ability to deeply evaluate companies or meet founders regularly.
  • Friedberg predicts Web3 will follow a "crawl, walk, run" trajectory, starting with infrastructure (e.g., Syndica's distributed compute layer) before application-level consumer experiences mature.

Zillow's "iBuyer" Fail vs. Opendoor

• Zillow's Setback:
  • Zillow announced plans to sell 7,000 homes for $2.8 billion, causing shares to drop 37% and wiping $9 billion in market cap.
  • The company will reduce its workforce by 25%, specifically targeting the iBuyer division.
  • Root Cause: Zillow attempted to be a "market maker" but acted as a speculator, buying homes indiscriminately based on flawed valuation models (Zestimate) that favored price inflation to drive traffic.
  • Conflict: The iBuyer business cannibalized Zillow's core advertising revenue by competing with real estate agents who use the Zestimate.
• Opendoor Contrast:
  • Chamath Palihapitiya (major shareholder) argues Opendoor is distinct due to a 10% operating margin versus Zillow's 3%, providing a much wider safety margin.
  • He credits Opendoor CEO Eric Wu with superior execution and a software-driven approach to forecasting price volatility and asset management that compounds over time.
  • Chamath asserts that Zillow's failure was an operational underestimation of the capital intensity and complexity of flipping homes.

US Election Results and Political Analysis

• 2022 Midterms Outlook:
  • Recent elections in Virginia (Glenn Youngkin vs. Terry McAuliffe) and New Jersey resulted in significant Republican gains or narrow Democratic victories, signaling a backlash against progressive extremism.
  • Key Demographics: The shift included Hispanic, Black, and suburban voters, who rejected "policy extremism" in favor of stability.
• Core Issues Driving the Backlash:
  • Education: Backlash against curriculum changes involving Critical Race Theory (CRT), the 1619 Project, and "detracking" (removing advanced math tracks).
  • Public Safety: Rejection of "defund the police" movements, evidenced by voters in Minneapolis and Seattle rejecting police abolition measures.
  • Economy: Voter focus on inflation and cost of living over progressive social agendas.
• Strategic Implications for Democrats:
  • Hosts argue the "Never Trump" playbook (e.g., Gavin Newsom in California) failed in Virginia because it alienated centrists.
  • Glenn Youngkin succeeded by positioning himself as a "normal," moderate Republican, focusing on schools and safety rather than culture war extremes.
  • Chamath suggests President Biden must "triangulate" against the progressive left (Bernie Sanders/AOC) to survive, similar to Bill Clinton's 1990s strategy, or risk a 40-50 seat loss in 2022.
• Rejection of Extremism:
  • Voters in both parties are rejecting behavioral and policy extremism, preferring candidates who promise "normalcy" and economic competence.
  • The data suggests a "center-right" shift in the US electorate, with Democrats moving further left than the median voter while Republicans are attempting to normalize under non-Trump leadership.

Carbon-to-Starch Technology Breakthrough

• Scientific Breakthrough: A Chinese research team successfully converted carbon dioxide into starch using a cell-free enzymatic system.
  • Efficiency: 10 times more efficient than photosynthesis in corn plants.
  • Mechanism: A six-step chemical process using engineered enzymes to convert CO2 and hydrogen into starch.
• Scale and Impact Projections:
  • Atmospheric Removal: A hypothetical system of 27 million 40-foot tanks (covering 25x25 miles) could theoretically process all human CO2 emissions annually, powered by a single nuclear reactor.
  • Output Equivalence: The system could produce the equivalent starch output of 42 US corn belts in the same land area.
  • Applications: Beyond food, the starch can be used for biofuels, bioplastics, and other hydrocarbon-based materials.
• Policy Implications:
  • Hosts argue this technology renders political climate agreements (like COP26) obsolete if scaled.
  • Chamath suggests redirecting the proposed $1.3 trillion annual climate aid to developing nations toward funding this specific technology infrastructure.
  • The breakthrough highlights the potential for private sector innovation and science to solve climate change more effectively than government mandates or carbon tariffs.
  • Discussion on carbon tariffs: Potential for new tariffs on goods based on carbon intensity could drive adoption of such technologies to avoid taxes.