Runway Challenges Google with Revolutionary Video AI

An Unconventional Path to Global Ambition

The startup Runway, specializing in AI-generated video, stands out due to its unconventional journey. Founded by two Chileans and a Greek at the Tisch School of the Arts at New York University, it did not follow the traditional Silicon Valley path. Unlike others, its founders have no ties to Stanford or Google, nor have they raised massive funds to overlook revenue imperatives. Runway could be considered one of the most influential AI companies today, not for what it has already achieved, but for what it aims to accomplish.

For several years, the AI industry has focused on language as the primary source of intelligence, with models like OpenAI's ChatGPT leading the way. However, Runway, alongside other competitors, is making a different bet. Its founders believe that the next form of AI intelligence will not be built from text, but from video and world models that learn how the world works, rather than just how humans describe it. This distinction may seem academic, but its implications are anything but.

A Bold Vision for the Future of AI

Anastasis Germanidis, co-founder and co-CEO of Runway, asserts that training models directly on observational data from the world is the next frontier of AI. According to him, the companies that will succeed in this domain will not be those that have perfected language, but those that can leverage less biased data. "We are essentially limited by our own understanding of reality," Germanidis stated from Runway's bright and welcoming office near Union Square.

Language models are trained on the entirety of the Internet, on forums and social media, on textbooks—distilling existing human knowledge. But to go beyond, we need to leverage less biased data. Founded in 2018, Runway has built its reputation on video generation models—including its latest Gen-4.5—and AI tools that allow users to transform text prompts into editable cinematic content.

Expansion and Strategic Partnerships

Today, Runway's technology powers production workflows for filmmakers and advertising agencies, and the company has signed agreements with major media players like Lionsgate and AMC Networks. Its tools have even been used in films such as "Everything Everywhere All At Once." Runway is now valued at $5.3 billion and, according to one of its founders, added $40 million in annual recurring revenue in the second quarter of 2026.

If Runway's bet that video generation is the path to world models pays off, the impact will be felt from Hollywood to drug discovery. If it doesn't work out, Runway risks being outpaced by competitors with much deeper pockets—Google at the forefront.

Launching New World Models

In the past six months, the startup has put its plan into action and expanded beyond video generation, launching its first world model in December, with plans to launch another this year. World models are AI systems that simulate environments well enough to predict their behavior. Runway is not alone in its quest to transform physics-sensitive video models into world models, with short-term use cases in interactive entertainment, gaming, and robotics training.

Startups Luma and World Labs are following a similar trajectory, and Google has directed its world model Genie in the same direction. Everyone is searching for a version of the same thing: an AI that solves humanity's toughest problems. This moves away from Runway's original product, but it is the result of both the emerging capabilities of technology and founders who were predisposed to follow the direction it was taking.

An Ambitious Scientific Infrastructure

For his part, Germanidis sees world models as a scientific infrastructure. The more you train a unique model on sensory data and observations, the closer you get to a functional digital twin of the universe—one that you can test faster than any laboratory. A large part of the scientific process is simply waiting for results, he emphasizes. If you could compress that waiting time, you could compress progress itself.

"If we can build a better scientist than human scientists, we can accelerate progress in our understanding of the universe and in solving problems," Germanidis stated. He fell in love with programming at the age of 11 in Athens and came to the United States at 18 to study neuroscience and film. He then turned to computer science, working at several tech companies in Silicon Valley before deciding he had had enough of the culture.

An Inspiring Journey

Co-CEO Cristóbal Valenzuela, born and raised in Santiago, studied economics as an undergraduate before working in film and then software. Another Santiago native, innovation director Alejandro Matamala Ortiz, studied advertising and led a design agency. The three met in 2016 while attending NYU's ITP (Interactive Communications Program), a graduate program that Valenzuela described as an "art school for engineers."

The co-founders had all aspired to be filmmakers at various points in their lives, according to Matamala Ortiz. Thus, Runway began with a simple mission: can we use AI to make everyone a filmmaker? According to Matamala Ortiz, after launching their first video generation model in February 2023—which is incredibly unimpressive compared to what Runway offers today—this mission evolved into: can we make everyone a great filmmaker?

This required growing the team to its current size. The company now has 155 employees spread across offices in New York, London, San Francisco, Seattle, Tel Aviv, and, most recently, Tokyo. "But throughout this process, we learned that these models can understand how the world works, and if you develop them, they can be useful for many other things," he added.

Diverse Applications and a Promising Future

Things like robotics, drug discovery, and climate modeling—the types of problems that have baffled researchers for decades. Last year, Runway launched a robotics unit that, according to Germanidis, has already led to real-world testing and deployments. Germanidis, like others, sees the field moving toward training a unique model on many different modalities—text, video, voice, and other sensors—and believes that the cumulative effect is the goal.

His own ambitious goal for Runway's technology, given enough time and resources, is to create biological world models and conduct research on aging. Whether Runway can transfer its video dominance to world models is far from guaranteed, and the competition is not waiting. Runway was among the first to develop AI video generation, but world models constitute a different race with well-funded and respected competitors.

Google, former Meta chief scientist Yann LeCun, AI "godmother" Fei-Fei Li, and a growing number of startups are all pursuing the same goal. Kian Katanforoosh, CEO of the AI skills benchmarking company Workera and a lecturer at Stanford, pointed out that none have yet proven the leap from video intelligence to generalized reasoning via world models, but that doesn’t mean it’s impossible. He stated that if Runway wants to realize its bet on world models, it will need to continue gathering resources—compute being paramount.

Funding and Outlook

Runway has agreements with CoreWeave and Nvidia, but has not confirmed whether it has access to a dedicated cluster—the type of large-scale compute guaranteed that cutting-edge model training needs. "How are you going to build a foundational model without a cluster?" Katanforoosh asked. "I don't think anyone can do it."

Runway has raised $860 million to date, including a $315 million round in February from strategic partners like AMD Ventures and Nvidia. This roughly matches its most immediate competitors, Luma AI and World Labs, which have raised $900 million and $1.29 billion, respectively, according to PitchBook.

But Runway also faces established players like OpenAI, which has raised about $175 billion according to CEO Sam Altman, and tech giant Google, whose parent company Alphabet is worth $4.86 trillion. Google represents the biggest threat to Runway. The company's Veo model directly competes with Runway's video generation business, while its world model Genie targets the same long-term territory that Runway is rushing toward.

Katanforoosh alluded to OpenAI, which shut down its video platform Sora in March after burning about $1 million a day in compute costs with barely $2.1 million in revenue according to some estimates. His point: resources alone do not guarantee survival. They do not guarantee Runway's survival either.

Katanforoosh is not giving up on Runway. He cited the audio startup ElevenLabs, which has outperformed OpenAI and Google on their own benchmarks, despite lacking the resources and pedigree of either. Runway, he argues, could follow a similar plan.

The comparison is not lost on Runway's founders. Valenzuela asserts that the lack of "standardization" in the Bay Area gives the startup an advantage. Not only do they have a diversity of thought, he argues, but without ties to Silicon Valley, they have had to be more resourceful, lacking the financial cushion that many of their peers have, which would have shielded them from the need to generate revenue early.

And according to Michelle Kwon, Runway's COO, the company is not in a hurry to raise more funds, even as compute demands increase with scale. "Their journey has led them to be early, to be right more often than not, and to build a culture that moves incredibly fast," said Michael Dempsey, early investor and managing partner at Compound, to TechCrunch.

For Valenzuela, this culture starts with how he sees the world in the first place. He dedicates all the free time he has—not much, as a co-CEO and new father—to reading books, including Chilean poet Nicanor Parra, whom he describes as the antithesis of Pablo Neruda: less formal, less academic, holding the view that poetry belongs to the people rather than to rules.

"The rules are just rules they made up," Valenzuela said. "It's a driving force in how we do things at Runway. They say Silicon Valley is here and that's where startups are. Why? Those are just made-up rules. Eliminate them all and start over."