Ed Sim coined and systematized Inception Investing, backing highly technical founders before they even incorporate or name their companies, with round sizes unconstrained by traditional pre-seed or seed labels. He operates from New York rather than Silicon Valley to leverage proximity to Fortune 500 companies, teaching founders to use enterprise design partnerships instead of traditional sales to co-define problems with large customers and avoid endless pilots.

• A strong conviction that AI agents are evolving from simple tools into autonomous digital workers that handle entire back-office workflows. He points to real-world shifts, such as large banks quietly automating accounting and compliance roles rather than just using chatbots for assistance, and distinguishes between companies that merely add AI features versus those that rebuild their culture to be native to this new automation.
• Emphasis on the emerging need for cybersecurity solutions designed specifically to protect and govern autonomous software. He highlights the risks of agents writing code or accessing sensitive systems without oversight, suggesting that traditional security models are insufficient and that organizations need cryptographic policies to manage these new digital employees.
• A preference for startups building deep infrastructure rather than temporary features that can be easily replicated. He warns founders against building products that act merely as a single capability or plugin, advising them instead to construct comprehensive platforms that can withstand competition from incumbents who are rapidly adopting similar technologies.
• Interest in the intersection of blockchain and artificial intelligence to facilitate commerce between autonomous software. He speculates that cryptocurrencies and stablecoins will serve as the necessary financial layer for agents to verify their identity, build reputation, and conduct transactions without human intervention.
• Hands-on experimentation with the technologies he discusses to truly understand the developer and user experience. He shared his own journey of building and configuring a personal AI agent to handle tasks, noting the specific friction points he encountered with various cloud providers during the setup process.