Extensive diligence on a seed-stage company's market or product is often wasted effort. The majority of successful seed investments pivot to a completely different business model, making the founding team's quality and resilience the most crucial factor to evaluate.

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.

The ideal founder profile for vertical software has shifted. Previously, VCs backed deep domain experts from a specific industry. Now, with the rapid pace of AI model development, the advantage goes to scrappy, high-hustle teams whose ability to quickly productize the latest AI advancements is more valuable than static industry experience.

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.

The most critical factor for an AI startup's success is not the technology itself, but the founder's deep, intrinsic passion for the problem they are solving. This genuine interest provides the resilience to persevere through challenges, a quality that investors should value above a trendy business idea.

While product and market are crucial, the most important factor in an early-stage bet is the founder. This is because most startups pivot significantly. A resilient, adaptable founder who can execute through change is more valuable than a perfect initial idea, leading to the ranking: Founder > Market > Product.

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.

In an era where AI makes building products easier for everyone, technical execution is no longer a defensible moat. The new determinant of startup success is founder resiliency and a deep passion for their vertical. Victory belongs to those who will relentlessly refine their product for a decade, not just build the first version.

In the AI era, technology moats are shrinking as tools become commoditized. Consequently, early-stage investors increasingly prioritize the founding team itself, specifically their execution velocity and ability to leverage AI, over any specific technical advantage.