The big AI labs are eating the startup playbook — here’s where founders can still compete

Startup founders at the Technology Alliance Seattle Investor Summit+Showcase, held at Microsoft’s headquarters in Redmond, Washington, warned that AI labs are reshaping competition by leveraging tools like OpenAI’s Codex and Anthropic’s Claude Code to develop proprietary software instead of purchasing it. Bryan Hale of Anthos Capital noted that unlike past tech giants like Amazon Web Services, AI labs move at a pace that makes it harder for startups to keep up, particularly in areas like sales automation, lead scoring, and accounting. Yifan Zhang of AI2 Incubator argued that deep industry expertise remains critical, especially in specialized sectors like mining, shipping, or immigration where reputation and trust matter. Mia Lewin of TheFounderVC added that founders must target narrow niches AI labs won’t prioritize, combine industry knowledge with data-driven personalization, and build growth flywheels to stay ahead. Tim Porter of Madrona Ventures countered that anxiety over AI competition is overstated, citing legal tech startups Harvey and Legora, which grew despite Anthropic’s entry into AI legal tools. Porter stressed that domain-specific needs—like accuracy and workflow integration—keep startups relevant even as AI improves. OpenAI’s CTO Vijaye Raji agreed that domain expertise is the key, noting that platforms like OpenAI focus on broad reach rather than niche innovation. He also highlighted an internal challenge: AI-generated code outpaces OpenAI’s testing and deployment systems, creating potential opportunities for startups to fill gaps in scalability and reliability.