Luma AI’s London Expansion Signals Major Growth for Video Generation Platform

London's tech scene braces for a new heavyweight. Luma AI—the video generation platform turning heads with its AI-powered creation tools—is gearing up for a major expansion across the pond.

Why London? The Strategic Play

This isn't just another office opening. The move positions Luma AI at the heart of Europe's financial and creative capital—a dual-threat hub for talent and capital. It's a clear signal the company is moving beyond its Silicon Valley roots to capture global market share.

The Ripple Effect

Expect talent wars. Luma's arrival will heat up competition for top AI researchers and engineers already flocking to London's burgeoning deep-tech corridor. Local startups in the creative AI space should watch their backs—and their funding pipelines.

A Bet on the Future of Creation

This expansion underscores a bullish bet: that AI-generated video is moving from niche novelty to mainstream production tool. Luma is building infrastructure not just for today's experiments, but for tomorrow's entertainment and advertising pipelines.

One cynical finance footnote? Another tech firm planting a flag in London—just as commercial real estate prices there hit fresh highs. Someone's VC dollars are getting a very traditional, very brick-and-mortar workout.

The bottom line: Luma AI isn't just opening an office. It's making a statement. The race to define the future of video is going global, and London just became a central battlefield.

Luma seeks to spread world-scale AI everywhere

The co-founder and CEO of Luma AI, Amit Jain, touted that his company has the capital and capacity to bring world-scale AI to creatives worldwide. He added that launching in Europe and the Middle East is the next logical step after the Humain-led $900 million Series C funding round and the anticipated global compute infrastructure build-out.

“Launching across Europe and the Middle East is the logical next step in putting this power directly in the hands of storytellers, agencies and brands globally.” 

–Amit Jain,  Co-Founder and CEO of Luma AI

Jain also added that London has the best researchers, given the Universities there and institutions like DeepMind. He noted that London is the entry point to European markets. 

The Luma executive said that these kinds of visual models are only one to one and a half years behind LLMs, but world models may soon become the natural interface for most day-to-day AI use. He emphasized the importance of world models in the pursuit of achieving AGI (Artificial General Intelligence), although he also acknowledged that they were not as developed as LLMs. 

Meanwhile, Nvidia, Google, and Meta are all developing world models for various use cases. Luma also released its Ray3 model in September, which Jain claims is almost at par with Google’s Veo 3 and ranks higher than OpenAI’s Sora. 

Jain says the latest funding will support scaling efforts

The Luma boss emphasized that the latest funding will be used to scale and accelerate the startup’s training and deployment of world models. He further claimed that these world models are more effective than LLMs in helping in the real physical world. 

Meanwhile, Luma and Humain will also collaborate to build a 2-GW AI supercluster called Project Halo in Saudi Arabia. Jain says the buildout will be among the largest deployments of GPUs globally. He added that his company is following in the footsteps of tech giants, which have invested heavily in training large AI models using supercomputers. 

The CEO of Humain, Tareq Amin, also stated that his company’s investment in Luma and its 2-gigawatt supercluster positions it to train, deploy, and scale multimodal intelligence to its full potential. Amin added that the partnership sets a new standard for how compute, capital, and capability merge. 

The Humain CEO said the partnership also includes Humain Create, which creates sovereign AI models trained using Arabic and the region’s data. Jain added that Luma models and capabilities will be deployed to businesses in the Middle East, along with building the first-ever Arabic video model. 

Jain noted that countries outside the U.S. and Asia are typically underrepresented in AI-generated content, as most models are trained using data scraped from the internet. However, he believes it is essential to incorporate these cultures and their diverse representations into Luma’s model.

If you're reading this, you’re already ahead. Stay there with our newsletter.