Vantora, formerly UP.Labs, which builds AI-native startups designed to solve problems for corporate customers, raised $100M+ from Silversmith Capital Partners (Kirsten Korosec/TechCrunch)

Choosing between proprietary and open AI is a crucial decision for startups developing AI products, as it can significantly impact various aspects of their business. This dilemma will be discussed in-depth at TechCrunch Disrupt 2026 during the session "The Open vs. Closed AI Debate Is Just Getting Started," led by Nvidia's Nader Khalil and Sydney Sykes. Both experts will analyze the trade-offs between open and proprietary AI models and explore whether either approach can provide a lasting competitive advantage.

The debate is no longer about whether open models can be useful but rather about where each approach makes commercial sense. Nvidia, for instance, has seen rapid adoption of its open models in various industries, with 145 papers from ICML 2026 citing Nvidia's Nemotron open models and datasets. At the same time, proprietary frontier labs continue advancing model capabilities. CEO Jensen Huang argues that the future lies in a hybrid approach, where both proprietary and open models coexist.

Founders need to consider several factors when making this decision. The choice between open and proprietary models can affect cost, infrastructure, margins, differentiation, speed, and control. For example, lower costs may win if two models deliver similar results, but one may offer more control over data. Additionally, if the best model changes every few months, a company's product should be only loosely tied to any one of them.

Developers must also weigh the pros and cons of open models, including flexibility and control, as well as the need to handle deployment, optimization, and infrastructure.

The session promises to provide valuable insights for founders, investors, line-of-business leads, and developers. By understanding the trade-offs between open and proprietary AI, participants can make informed decisions about their AI strategy, shaping margins, fundraising stories, product roadmaps, procurement, security, data control, infrastructure, and even the freedom to change providers later.