The Next AI Wave Will Be Social, Not Solo | Sarah Tavel, Benchmark and ex-Pinterest

Evolution of Tech Founders

• 💡 Early technology waves are often led by deeply technical founders (like Google, OpenAI) who build the core infrastructure.
• 🚀 As technology matures, the advantage shifts to product geniuses (like Pinterest, Snap, Instagram) who excel at creating delightful user experiences on top of stable infrastructure.
• 🧠 Current AI products like ChatGPT are still in an early, technical-founder-led phase, resembling Google's initial focus on backend magic.

The Social AI Opportunity

• ⚠️ ChatGPT's primary weakness is its lack of social features, making it a "single-player mode" product with no easy way to share or discover effective prompts.
• 🎯 The next wave of consumer AI will likely be built by product-driven founders who integrate social layers, enabling user-generated content (UGC) communities.
• 🔑 A key opportunity lies in creating platforms where skilled prompt creators are discoverable and followable, making advanced AI use more accessible to everyone.

Building Social AI Products

• ✅ Essential features for a social AI app include the ability to find and follow creators whose prompts or custom GPTs are effective.
• 🤝 Building trust is crucial, requiring transparency about the underlying documents or prompts used, which is currently lacking in platforms like custom GPTs.
• 💬 The ideal social AI platform would be the primary interface for users, integrating personal and work-related AI interactions, potentially cannibalizing existing single-player tools.

Identifying Network Effects

• 🔍 Many businesses claim network effects, but true ones show early, "white-hot" traction in a specific market segment, indicating a self-accelerating flywheel.
• ❌ Beware of "flywheels" that are just words on a slide or have significant friction in their mechanics, as these often don't translate to real network effects.
• 📈 The current AI wave is largely driven by performance and compute, but the next major consumer AI applications will likely leverage multiplayer and network effects for differentiation.

AI's Impact on Venture Capital

• 📊 VCs can leverage AI by creating personal training data from their past investment decisions, including what they liked, disliked, and their reasoning.
• 🧠 This data can be used to cross-examine their thinking and pressure-test future decisions, helping to avoid past mistakes and improve judgment.
• 🤝 AI could also enhance talent evaluation and tracking, potentially leading to a "Rotten Tomatoes" score for companies based on investor and talent signals.

Beyond AI: Stablecoins

• 💰 Sarah Tavel sees stablecoins as a transformative technology for global finance, particularly in high-inflation countries like Argentina.
• ⚡ They offer a faster, cheaper, 24/7 alternative to traditional banking for international transactions, removing friction in accessing stable currencies like the US dollar.
• 🌐 The widespread adoption of stablecoins, especially US dollar-backed ones, can create significant liquidity and network effects, facilitating global trade and financial inclusion.