Marc Andrusko is a partner at Andreessen Horowitz who specializes in AI-native workflows for highly regulated, transaction-heavy domains, sitting at the intersection of B2B AI applications and fintech with a focus on capital markets, payments infrastructure, and fintech crossovers into verticals like healthcare. He brings unusual operator experience from leading Plaid's personal financial management vertical and being a founding member of Marcus by Goldman Sachs' corporate development team, and is known for his thesis that 2026 will mark the death of the prompt box as AI becomes invisibly embedded in workflows rather than requiring chat interfaces.

• A strong focus on enterprise and financial artificial intelligence platforms that transform software from passive record keeping into active task execution. Specific investments include Rillet, an enterprise resource planning platform that allows finance teams to automate book closing, and Sphere, which simplifies international tax compliance using native artificial intelligence.
• Deep interest in legal artificial intelligence and the market dynamics driving its rapid adoption. A key insight shared was that the high revenue generated per law firm partner creates powerful incentives for purchasing artificial intelligence tools, a trend observed while working closely with startups in the plaintiff law sector.
• Anticipation for proactive artificial intelligence applications that eliminate the need for manual text prompting. A major investment thesis is that by 2026, mainstream applications will simply observe user workflows and intervene automatically with suggested actions rather than waiting for users to type commands.
• Attention to the shifting competitive landscape between infrastructure providers and application layer startups. Observations include how major model developers are starting to build end user applications themselves, prompting a need for business to business startups to rethink how they handle permissioned data access to stay resilient.
• Active engagement with university student ecosystems to find emerging technical talent and ambitious early stage entrepreneurs. Time spent with undergraduates at institutions like Penn and Duke has left a strong impression regarding their career readiness, even leading to a direct investment sourced during a university guest lecture.