The AI in Practice survey aims to provide insight into the real-world adoption of AI technologies. Conducted by Theory VC, the survey gathered responses from 413 senior technical builders across various company sizes and sectors. The goal was to pinpoint what AI tools are actually being utilized in production, where the gaps in adoption exist, and how different organizations are scaling AI solutions. This information is particularly valuable for founders looking to navigate a rapidly evolving AI infrastructure landscape. Key findings from the survey reveal distinctions in AI adoption based on company size and sector. For instance, strategies that work for a 15-person startup might not be suitable for a 5,000-person enterprise. The survey highlights specific technologies currently in use, helping founders understand whether to enter a competitive space or pivot their approach. It also identifies areas where teams are investing ahead of the market, such as reinforcement learning from human feedback (RLHF) and synthetic data, which could indicate future trends. The interactive dataset resulting from the survey allows founders to test go-to-market strategies and refine their ideal customer profiles. It highlights segments that are over-served, under-served, or entirely unserved, presenting opportunities for new ventures. The insights are valuable not just for identifying successful technologies but also for recognizing pain points that could lead to business opportunities.