Runway, an AI video generation startup founded in 2018 by three NYU Tisch School of the Arts graduates, is challenging the prevailing AI industry focus on language models. Unlike many Silicon Valley counterparts, Runway’s founders—two from Chile and one from Greece—believe the future of artificial intelligence lies in video and world models that learn from direct observation of the world, rather than solely from human language.
Co-founder and co-CEO Anastasis Germanidis argues that training models on observational data offers a less biased understanding of reality. He stated, “We’re basically bound by our own understanding of reality.” Germanidis elaborated that while language models distill existing human knowledge from sources like the internet and textbooks, advancing beyond current limitations requires leveraging less biased data.
Runway has built a reputation with its video-generation models, including the latest Gen-4.5, which enable users to transform text prompts into editable, cinematic content. The company’s technology is now integral to production workflows for filmmakers and advertising agencies, with partnerships involving major media entities such as Lionsgate and AMC Networks. Notably, Runway’s tools contributed to the production of the film “Everything Everywhere All At Once.”
As of early 2026, Runway achieved a valuation of $5.3 billion and reported an addition of $40 million in annual recurring revenue in the second quarter of the year. The company is now focusing on developing world models—AI systems capable of simulating environments to predict behaviors. In December 2025, Runway released its first world model, GWM-1, which constructs simulations through frame-by-frame prediction, understanding physics and real-world behaviors over time. This model is positioned as more general than competitors like Google’s Genie-3.
Runway’s strategic shift towards world models places it in direct competition with tech giants like Google, which are also investing heavily in this area. The success of Runway’s approach could have far-reaching implications across industries, from entertainment to drug discovery. However, the company faces the challenge of competing against rivals with significantly greater resources.
In an effort to foster innovation and support early-stage AI startups, Runway launched a $10 million venture fund and a Builders program in March 2026. These initiatives aim to invest in companies building across AI, media, and world simulation, and offer free API credits to startups ranging from seed to Series C stages.
Runway’s unconventional path and ambitious goals underscore a broader shift in the AI landscape, where the focus is expanding beyond language models to include more comprehensive, observational learning systems. This evolution could redefine how AI understands and interacts with the world, potentially leading to breakthroughs in various fields.
Source: TechCrunch
