The agreement, which runs through 2028, is designed to speed up how ChatGPT and other OpenAI products respond to users, as competition gets stronger among the world’s largest technology firms to control the infrastructure behind advanced models. 

Cerebras will provide the capacity through its own cloud services, powered by its wafer-scale chips, with new data centres to be built or leased specifically for the contract.

Seven hundred and fifty megawatts is not incremental capacity, it shows industrial-level demand. 

OpenAI is no longer thinking only about training models but about inference, the everyday work of answering questions, reasoning through problems and serving millions of users at once. 

“Integrating Cerebras into our mix of compute solutions is all about making our AI respond much faster,” OpenAI stated. 

Talks between the two companies began last August after Cerebras showed that OpenAI’s open-source models could run more efficiently on its chips than on standard graphics processors. 

Months of negotiations followed. The result is a structure where Cerebras owns and operates the hardware, while OpenAI pays to access it as a service. Capacity will be added in stages over the next few years.

Cerebras is preparing to return to public markets after withdrawing its previous listing attempt in late 2024. It now plans to re-file for an initial public offering in the second quarter of 2026. This OpenAI contract helps address a long-standing concern among investors: dependence on a single customer. 

In 2024, UAE-based technology group G42 accounted for nearly 87% of Cerebras’ revenue. A multi-billion-dollar US client changes that picture.

The deal also fits neatly into OpenAI’s bigger strategy. The company is laying the foundation for a potential initial public offering that could value it at around $1 trillion. 

Its chief executive, Sam Altman, has publicly committed $1.4 trillion to building 30 gigawatts of computing capacity, enough to power roughly 25 million homes in the United States. 

Competition is high. Nvidia still tops the market for training chips, while Google and Microsoft are pushing their own custom hardware through cloud platforms. 

By turning to Cerebras, OpenAI is clearly trying to reduce reliance on a single supplier and gain an edge in speed, particularly for reasoning-heavy models.

But then, the spending spree is unsettling some observers, with warnings that the surge in valuations and capital commitments across the sector shows the excesses of the dot-com era. 

The counter-argument is equally strong, demand for inference compute is exploding as artificial intelligence moves from labs into daily use. 

The project is still in its early stages, but insiders say the device is designed to be compact, context-aware, and powered directly by OpenAI’s advanced language models.

With this, OpenAI is stepping away from software-only products into the competitive consumer hardware market. Unlike smartphones or computers that add AI as a feature, the goal here is to create an “AI-native” product, a device built from the ground up to work seamlessly with artificial intelligence.

OpenAI’s focus on hardware began earlier this year when it acquired io Products, a startup founded by former Apple design chief Jony Ive, in a deal valued at $6.5 billion. 

Ive’s influence is expected to enhance the product’s minimalist design, intuitive controls, and seamless integration with AI systems. More than two dozen former Apple engineers, many from teams behind the Apple Watch and AirPods, are also involved in the project.

Luxshare, which currently assembles iPhones, AirPods and Apple Watches, brings large-scale production and supply chain expertise to the table. OpenAI has also held talks with Goertek, another Apple partner, to supply speaker modules and related components. 

Such collaboration suggests the device may rely heavily on high-quality audio interaction, possibly without a screen.

Analysts argue that this strategy could challenge the place of established companies like Apple, Samsung, and Google. A dedicated AI device could change user habits away from app-based digital assistants on phones, opening the door to entirely new categories of personal technology.

Comparable projects are already in motion elsewhere: Humane’s AI Pin, Rabbit’s pocket-sized R1, and Meta’s AI-powered Ray-Ban glasses are all chasing the same vision — frictionless, ambient computing experiences. 

But OpenAI’s integration of its own models, paired with manufacturing giants like Luxshare, could give it an edge in reaching the mass market.

For now, neither OpenAI nor Luxshare has issued public statements about the device or its release timeline. 

Meta’s Mark Zuckerberg and Oracle’s Larry Ellison had the highest, each adding $9 billion to their net worth.

Nvidia co-founder Jensen Huang followed with $5.4 billion, while Google’s Larry Page and Sergey Brin gained $4.5 billion and $4.3 billion respectively.

The windfall results from the deepening concentration of wealth and influence among Silicon Valley’s most powerful figures. 

These are not fleeting market blips, the growth is tied to the technologies reshaping everything from global communications to financial systems.

Zuckerberg, now the third-richest person in the world with $267.7 billion, controls about 13% of Meta. The company’s stock has risen 40% since April 2025, driven by AI-powered advertising and smart glasses. 

Back in 2015, Zuckerberg and his wife, Priscilla Chan, pledged to donate 99% of their Meta shares over their lifetimes, one of the most noteworthy philanthropic promises of the modern era.

Just ahead of him in the global rankings is Ellison, whose $298.3 billion fortune places him second only to Elon Musk. The Oracle co-founder stepped down as CEO in 2014 but still drives the company’s strategic acquisitions. He lives permanently on the Hawaiian island of Lanai, which he purchased almost entirely for $300 million in 2012.

Huang’s rise is perhaps the most emblematic of the AI era. Nvidia, once a graphics card specialist, now dominates AI hardware. In Q1 2026, its data centre division alone generated $39 billion, 89% of its revenue, with forecasts pointing to $200 billion for the fiscal year. 

Under Huang’s leadership, Nvidia’s valuation topped $3 trillion in 2024. His net worth now stands at $156.6 billion.

Page and Brin, despite stepping back from Google’s daily operations in 2019, remain among the most influential figures in tech. Their stakes in Alphabet keep their fortunes at $160.3 billion and $153 billion respectively, built on the algorithms they pioneered more than two decades ago.

As of August 2025, eight of the world’s ten wealthiest people are tech leaders, including Musk, Ellison, Zuckerberg, Page, Brin, Huang, Steve Ballmer, and Jeff Bezos. 

Their combined wealth stands at $2.1 trillion, up $100 billion since July. In total, 450 tech billionaires control an estimated $5.2 trillion, representing nearly one-third of all billionaire wealth.

The ongoing AI boom is creating new billionaires in semiconductors, cloud platforms, and generative AI startups like Anthropic and CoreWeave. Yet the same trend is intensifying debates over monopolies, digital inequality, and the vast control a handful of companies wield over critical infrastructure.

As an analyst stated, “This isn’t just a story about money, it’s a story about who owns the future.”