AI Is Changing the Economics of Building New Businesses

McKinsey explains how AI is changing the underlying economics of building new ventures inside corporations and beyond them. The real shift is not only in software developer productivity, but across the full chain from opportunity selection to first commercial launch. Smaller teams can now analyze markets faster, design prototypes, build minimum viable products, and test customer demand without the large specialist groups that used to be required. The article anchors that shift in specific data. In a 2025 survey, 43 percent of executives said they had increased their focus on venture building. At the same time, 61 percent of corporate venture projects generated more than $10 million in revenue in 2025, up from 45 percent in 2023. The time needed to reach that threshold fell from 38 to 31 months. That is a meaningful change in how returns and risk should be assessed. McKinsey also notes that 93 percent of respondents in an Antler survey reported faster execution because of AI, and nearly half described acceleration of up to five times. The article cites an investment service that doubled speed to first product with an agentic development factory. Another company raised B2B sales productivity by at least 1.5 times using a sales agent. Those figures do not guarantee success, but they do show that barriers of cost and time are falling. This has direct implications for large organizations. Corporations used to lengthy approvals, large teams, and cautious budgets now risk being overtaken by smaller, faster groups empowered by AI. Buying tools is not enough. The decision-making model, performance metrics, and governance of new business building also need to change. The article is useful because it does not pretend human work is disappearing. Instead, it suggests that value is moving away from routine execution toward judgment, prioritization, and customer contact. The strongest teams will not be purely human or purely machine. They will be hybrid. For investors and business leaders, the implication is simple: AI lowers the cost of experimentation but increases the speed of competition. Any company that slows decisions will waste the benefit of cheaper experimentation. Any company that combines AI with discipline and a clear commercial thesis can build businesses faster and more efficiently than it could even two years ago.

AI Is Changing the Economics of Building New Businesses

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