How Agentic AI Supercharges Startups and Threatens Incumbents

How Agentic AI Supercharges Startups and Threatens Incumbents

A new operating model shrinks the time and capital needed to build companies, redefining how ventures launch and scale. by Vivian S. Lee, Linda Mantia and Jon McNeill

The startup landscape is undergoing its most profound transformation since the internet revolution. This change is powered by a convergence of forces. Large language models (LLMs) have reached a level of maturity that makes them capable of reasoning and planning tasks. When given access to relevant data and permission to act on the user’s behalf, LLMs can act as agents, taking on the role of digital assistant or even digital employee. New frameworks enable multiple agents to coordinate autonomously, creating agentic AI systems, or teams of digital colleagues. Low-cost application programming interfaces (APIs) have made it inexpensive to connect different IT systems so that they can share data and work together. And cloud costs continue to fall even as computing capabilities rise. These trends are producing a second great compression of entrepreneurship: The cost, time, and head count required to build a prototype of a product, test it, and then build an improved version have all collapsed. This compression shifts the competitive baseline. Small startups can enter, expand, or disrupt markets at a pace and cost structure that challenges incumbents to reimagine their operating models.