Interview, Fireside Chat
Insights from Coatue's Growth Investor Lucas Swisher
- Margins are expected to be misleading indicators in the early stages of the AI wave due to rapidly falling cost curves, though they are predicted to matter at scale and potentially reach higher terminal operating margins through efficiency gains in sales, legal, and engineering despite structurally lower gross margins than the SaaS generation.
- Investors are projected to face significant uncertainty regarding true market conditions over the next three, six, and nine months due to the speed of change and the retroactive nature of earnings data, while public markets are viewed as increasingly difficult for accessing ultra-levered growth or "owning the future."
- The outlook anticipates an enduring trend over the next five to 10 years where platform companies remain private longer, preventing public investors from accessing these entities, though most will eventually go public to access real capital at scale and benefit from public market feedback mechanisms.
- Investment returns are expected to require higher compensation for risk, with 6x gross returns needed on specific investments to achieve a 3x net fund return when accounting for 1x or 0x outcomes, rendering the "triple, triple, double, double" model obsolete.
- Venture fund structures are predicted to shift such that $3 billion funds will struggle to capture disproportionate returns due to the difficulty of capturing the few companies generating all liquidity, whereas $5 billion growth funds may succeed as companies achieve larger outcome sizes and revenue pools in the AI world compared to the SaaS wave.
- Mega funds are forecast to potentially destroy the economics of seed players by offering large checks without liquidation preferences, making it harder for seed funds to secure meaningful ownership percentages (e.g., 20%, 10%, or 5%) in a capital-intensive environment.
- The AI sector is expected to see vertical SaaS become non-investable for mega funds due to insufficient outcome sizes, while pre-revenue companies at high valuations with ambiguous exit pathways (e.g., $10M to $25M revenue) are considered outside the scope of viable investment.
- The technological landscape is predicted to transition from an assistant world to an agent world within the next 10 years, generating outcomes significantly larger than the previous generation, with companies like OpenAI potentially evolving into entities comparable to SpaceX over a five to 10-year horizon.
- Market dynamics will likely accelerate faster than historical precedents, evidenced by growth rates such as Anthropic's 800% at $9 billion ARR versus hyperscalers' 60% at similar scales, though the complete evaporation of SaaS companies is deemed unlikely due to human stickiness and the difficulty of change.
- Specific strategic advantages are highlighted for companies like Canva, which demonstrates the ability to hop multiple S-curves, and Anthropic, which benefits from building for every cloud and chip platform in a capacity-constrained world.
- Capital allocation strategies will require distinct frameworks for early and growth stages, with a preference for avoiding "foie gras" segments where artificial capital inflation leads to company explosions, while large talent pay packets ($100 million to $500 million) are viewed as justified.
- Future success is tied to the ability to optimize models by developing proprietary solutions for some workloads while utilizing frontier and small cheap models for others, with low-margin companies required to demonstrate high retention rates to offset the lack of margin for error.
- Geographic concentration in San Francisco is identified as beneficial due to high talent density, and career success is predicted to rely on abandoning linear paths in favor of risky opportunities, as the safe path is often less safe than the alternative.