Investors redefine early startup criteria as AI reshapes funding decisions
Updated
Updated · Crunchbase News · May 4
Investors redefine early startup criteria as AI reshapes funding decisions
9 articles · Updated · Crunchbase News · May 4
Innovation Works' Aaron Tainter said in Pittsburgh that seed-to-Series A progression has worsened, while Carta data showed average seed-stage teams fell to just over six employees from more than 10 in 2021.
Investors now prioritise founder-market fit, customer discovery, domain expertise and conviction over pure technical ability, as AI tools make building products faster and cheaper but also easier to imitate.
The shift is steering interest toward harder-to-fake deep tech, hardware and therapeutics, while investors scrutinise responsiveness, storytelling and relationship-building as startup funding remains weak in 2026.
With AI giants absorbing most VC funding, what new investment paths exist for the other 99% of startups?
AI can build a product, but how can founders prove their business is more than just a high-tech mirage?
Has the hunt for 'founder-market fit' created an echo chamber, locking out disruptive ideas from industry outsiders?
AI Startup Funding Surges 75% to $203 Billion in 2025 Amid Historic Capital Concentration
Overview
Between 2024 and 2026, AI became the dominant force in global venture capital, with funding surging 75% to $203 billion in 2025 and foundation model companies capturing 40% of investments. This growth concentrated capital in mega-rounds focused on costly AI infrastructure, primarily in the US, especially the San Francisco Bay Area. Corporate venture capital and strong investor confidence fueled this surge, but the influx also triggered a maturation phase addressing data quality and integration challenges. Investors evolved their criteria, emphasizing founder expertise, operational discipline, and validation tools to combat misleading signals. Meanwhile, AI transformed funding processes by boosting efficiency but introduced bias risks, requiring human oversight. Valuations soared for top AI firms, creating a two-tier market and prompting strategic adaptation by founders and investors toward sustainable, capital-efficient growth.