The greatest danger of building outside the SF bubble is not a lack of capital, but the absence of a peer group that normalizes struggle. Without that support, founders are more susceptible to the surrounding skeptical culture and more likely to give up during inevitable downturns.
While manually delivering a service (a "Wizard of Oz" MVP) validates demand for an AI agent, founders can become trapped if the workflow proves too nuanced for automation. This pivots a scalable product vision into a low-margin, hard-to-escape service business.
While SF is the tech hub, London provides denser access to non-tech enterprise customers. For Motives, 80% of its UK market is a short train ride away, enabling a highly effective, in-person sales model that would be impossible in the geographically dispersed US.
Switching a usage-based AI product to an unlimited SaaS model eliminates budget as a barrier, driving deep adoption. The new bottleneck becomes the client's time to process the AI's output, creating an opportunity to build features that automate this "last mile" of work.
The standard two-founder (CEO/CTO) model creates a bottleneck in AI agent businesses that require heavy, hands-on work with early customers. A third co-founder dedicated to customer success frees up the CEO for new sales and the CTO for core product development.
Synthetic customer feedback is fast for minor tweaks, but businesses demand real human insights for multi-million dollar decisions and novel concepts. This creates a clear market segmentation where accuracy and trust outweigh the speed of pure AI, especially when launching expensive campaigns.
When disrupting a market, selling enabling tools to incumbents (e.g., research agencies) is less effective than competing directly. Incumbents have misaligned incentives and are often low-intent "tire kickers," whereas their end-clients will readily switch for a better, faster, cheaper solution.
AI agents require deep, nuanced understanding of specific workflows. YC's methodology, which forces founders to intensely engage with customers and iterate rapidly, provides the perfect training ground to acquire this necessary domain expertise, making it an ideal environment for this new class of startups.
A key cultural difference in venture capital is that European VCs often request late-stage metrics like five-year financial projections from pre-seed companies. This contrasts sharply with the US/SF focus on market size, team, and vision at the earliest stages of a company's life.