Redpoint Ventures' Erica Brescia describes a shift in their investment thesis for the AI era. They are now more likely to back young, "high-velocity" founders who "run through walls to win" over those with traditional domain expertise. Sheer speed, storytelling, and determination are becoming more critical selection criteria.
A market bifurcation is underway where investors prioritize AI startups with extreme growth rates over traditional SaaS companies. This creates a "changing of the guard," forcing established SaaS players to adopt AI aggressively or risk being devalued as legacy assets, while AI-native firms command premium valuations.
Unlike traditional software development, AI-native founders avoid long-term, deterministic roadmaps. They recognize that AI capabilities change so rapidly that the most effective strategy is to maximize what's possible *now* with fast iteration cycles, rather than planning for a speculative future.
During a fundamental technology shift like the current AI wave, traditional market size analysis is pointless because new markets and behaviors are being created. Investors should de-emphasize TAM and instead bet on founders who have a clear, convicted vision for how the world will change.
Redpoint Ventures' Erica Brescia states the current investment thesis for AI application-layer companies: disregard margins entirely for now. The focus should be on aggressive growth, raising capital, and building a brand to be seen as the category winner, even if the product is still early and unprofitable. This is a "play to win" strategy.
Since startups lack infinite time and money, an investor's key diligence question is whether the team can learn and iterate fast enough to find a valuable solution before resources run out. This 'learning velocity' is more important than initial traction or a perfect starting plan.
When meeting Cursor's founder, the investor felt an "electric energy" even as the founder was pivoting away from his original idea. This highlights that for elite early-stage investors, the founder's intrinsic drive and potential are the constant to bet on, as ideas will inevitably change.
In dynamic markets like AI, where technology and business models evolve rapidly, the founding team's quality ('the jockey') becomes more critical than the initial business plan ('the horse'). The ability of a small, talented team to pivot and execute on new opportunities is the key determinant of success.
The firm distinguishes between speed (magnitude) and velocity (magnitude plus direction). Founders are encouraged to focus on velocity, ensuring the entire team is moving quickly *in the right direction*. This prevents wasted effort where mere motion is mistaken for progress, a common trap in turbulent markets.
The venture capital return model has shifted so dramatically that even some multi-billion-dollar exits are insufficient. This forces VCs to screen for 'immortal' founders capable of building $10B+ companies from inception, making traditionally solid businesses run by 'mortal founders' increasingly uninvestable by top funds.
The AI startup scene is dominated by very young founders with no baggage and repeat entrepreneurs. Noticeably absent are mid-level managers from large tech companies, a previously common founder profile. This group appears hesitant, possibly because their established skills feel less relevant in the new AI paradigm.