Peter Wagner brings a physicist's analytical approach to venture capital, having built a proprietary dataset called V21 tracking 5,600 financings to quantify how seed rounds have taken over Series A's historical role, and he frames industry dynamics through his aircraft carriers and Death Stars metaphor where large multi-stage firms become aircraft carriers pulled later-stage by capital gravity. He focuses specifically on AI-first enterprise companies that add adaptation layers and workflow on top of foundation models rather than chasing capital-intensive OpenAI clones, using Wing's deliberately curated customer network as a market validation machine to pressure-test product-market fit for pre-revenue B2B companies.

• A deep focus on the heavy infrastructure and hardware required to power modern artificial intelligence. He pays close attention to the evolution of data centers, interconnects, and computational capacity, recently noting how industry terminology for computing power is shifting from technical engineering metrics to energy consumption and financial value.
• Strong enthusiasm for the "memory" layer of the AI technology stack. He frequently champions the importance of vector databases and retrieval systems that allow models to retain context, viewing companies like Pinecone as essential utilities for developers building the next generation of intelligent applications.
• Appreciation for deep technical lineage and historical market cycles. He looks for founders who understand the broader context of their industry, often drawing parallels between the current surge in AI infrastructure and the telecommunications infrastructure boom from twenty-five years ago to predict future trends.
• Interest in category-defining enterprise software, particularly in the B2B sales and revenue space. He highlights businesses that establish unquestioned leadership in their vertical, such as Gong in revenue intelligence, noting that in certain markets there is effectively no second-place winner.
• Dedication to educational resources that help founders navigate critical company-building milestones. He actively promotes open-source knowledge bases that offer tactical advice on achieving product-market fit, occasionally using blunt humor to emphasize that missing these fundamental targets can be fatal for a startup.