Steve Jurvetson builds his investing career around things we've never seen before but adjacent to what he knows, explicitly seeking companies unlike anything he's seen yet close enough to his prior domains, turning process learning into his core edge rather than a fixed sector thesis. He runs Future Ventures as an intentionally small two-partner firm with a 15-year fund structure designed for patient capital, focusing on deep-tech, mission-driven companies while deliberately avoiding business models that exploit human weaknesses like gambling or addiction.

• Focus on the rapidly expanding commercial space economy and the technical milestones enabling it. He tracks launch metrics closely, noting when commercial entities launch more mass or rockets than historical government programs, and explores technical details like specific orbits that allow satellites to stay in perpetual sunlight for data center usage.
• Strong interest in the hardware and physical infrastructure underpinning artificial intelligence. He looks for alternative computing architectures, such as analog chips that offer greater energy efficiency for edge computing in cars, and compares the massive capital investment in current AI projects to historic endeavors like the moon landing.
• Enthusiasm for hard science in biotechnology and life sciences. He highlights companies working on universal vaccines that can handle mutating pathogens, new methods of protein sequencing using nanosensors, and the potential of lab-grown meat to align dietary habits with ethical concerns.
• Advocacy for advanced nuclear energy and regulatory breakthroughs. He points out the significance of finding regulatory paths for subcritical fission to bypass traditional hurdles and shares fascination with fusion reactor designs that utilize mechanics like molten lead and steam pistons.
• Appreciation for innovation history and the legacy of Silicon Valley. He draws parallels between current tech races and the semiconductor boom of the past, often sharing personal artifacts and stories involving industry legends like Steve Jobs to contextualize modern advancements.
• Attention to robotics and embodied AI. He monitors the global landscape of humanoid robot development, noting heavy government investment in international markets, and tracks how companies use massive real-world data collection from fleets of vehicles to train autonomous systems.