Fireside Chat, Interview
Sequoia’s Alfred Lin: Backing Founders Who Redefine Markets
- Revenue growth rates previously shifted from 30-40% annually to a negative trend resulting in an 80% revenue loss starting in January 2020 due to the pandemic spread.
- The relevance of AI research is predicted to decay rapidly, with a framework suggesting that insights from three months prior are no longer applicable today, though stability is expected in the next 12 months.
- Substantial companies are anticipated to emerge from the current innovation cycle despite high failure rates among startups, with the sector expected to evolve from a software focus into a services market valued in the tens of trillions of dollars.
- A premium for AI-native companies in Series A and B rounds is currently expected to persist, but this classification is predicted to become obsolete within two to three years as the technology becomes ubiquitous across all sectors.
- Long-term valuations may justify current premiums if companies achieve $1 billion to $10 billion within a decade, $10 billion to $100 billion within two decades, and potentially $1 trillion within four decades, with specific models projecting NVIDIA could exceed $10 trillion after a decade of 10% compound growth.
- Market stability is forecasted to improve over the next 12 months, enabling founders to transition from pure automation to reimagining consumer experiences, a shift compared to the internet and mobile transformations.
- Market consolidation is not predicted for all categories; while some sectors with strong network effects may consolidate to two or three leaders, other industries like restaurants are expected to remain fragmented.
- Successful companies are expected to scale from initial local markets of 800,000 people to the global 8 billion population, following a trajectory similar to DoorDash's expansion from a university area.
- Current high valuations are viewed as requiring investors to be twice as effective at selecting winners, allowing for fewer deployed shots with higher conviction despite the "reckless" appearance of paying two to four years ahead.
- Many AI-labeled companies are expected to survive and grow into substantial entities even if immediate multiples cannot be justified, provided the anticipated market expansion occurs.
- Business models are expected to undergo significant changes in value capture, moving beyond traditional subscription or license structures, while marketing functions like "SEO for LLMs" evolve into broader AI-driven visions.
- High valuation multiples of 20-30% currently seen in the market are considered justifiable by the anticipation of significantly larger future market sizes.
- Founder resilience is predicted to be shaped by the difficulty early-stage companies face, creating cultures capable of surviving turbulent periods.
- Investors may perceive short-term gains from AI company markups even if ultimate success remains uncertain for another decade.
- A significant portion of startups fail due to cash depletion, representing a specific risk that founders utilizing financial management tools are better equipped to mitigate.