OpenAI Acquires Jony Ive's Company io for $6.5 Billion, Betting Big on the AI Hardware Era

OpenAI acquires Jony Ive's hardware startup io for $6.5B to build AI-native devices.
OpenAI has announced its largest acquisition to date — a ~$6.5 billion deal for io, the hardware startup co-founded by legendary Apple designer Jony Ive. The move signals OpenAI's ambition to move beyond software and build AI-native consumer hardware, potentially redefining how humans interact with AI in the post-smartphone era.
OpenAI Bets $6.5 Billion on AI Hardware
OpenAI has announced a deal that sent shockwaves through the tech world: a roughly $6.5 billion acquisition of io, the hardware startup founded by former Apple Chief Design Officer Jony Ive. This is OpenAI's largest acquisition to date, marking the AI company's official entry into the consumer hardware space.
While $6.5 billion is a heavyweight figure even in the history of tech M&A, it's not unheard of given the current intensity of the AI arms race. For context: Microsoft acquired LinkedIn for roughly $26 billion (2016), and Google acquired Motorola Mobility for approximately $12.5 billion (2012, later sold for $2.9 billion). io was founded less than two years ago and has yet to ship a mass-market product. The $6.5 billion is essentially a forward bet on the team's capabilities, design assets, and the potential to claim a strategic high ground in an emerging market — closer to an acqui-hire combined with a strategic positioning play than a traditional revenue-multiple valuation.
What makes this deal most striking to outside observers is the weight carried by the name Jony Ive. Ive joined Apple in 1992 and became the company's most central creative partner after Steve Jobs returned. He led the design of the 1998 iMac G3 (which reimagined personal computer aesthetics with its translucent, colorful shell), the 2001 iPod and iTunes ecosystem, the 2007 iPhone, and subsequent products like the MacBook Air and Apple Watch. His design philosophy championed subtraction — stripping away everything non-essential to fuse form and function. When Ive departed Apple in 2019, many observers attributed it to a perceived shift in the company's leadership priorities from design toward business operations. As the lead designer behind the iPhone, MacBook Pro, iPod, and other landmark products, Ive effectively defined the aesthetics and interaction paradigms of consumer electronics over the past two decades. Now, he's joining forces with OpenAI CEO Sam Altman to bet on the shape of the next generation of computing devices.

According to Altman in the announcement video, he and Ive began exploring "what the future of AI and new kinds of computers might look like" two years ago. That conversation ultimately evolved into a deep integration of capital and talent.
Why Bet on Hardware? Existing Devices Are "Decades Old"
In explaining the rationale behind the acquisition, Altman put forward a striking argument: the products we currently use to connect with and interact with technology are built on a foundation that is "decades old." In other words, even though the cloud now holds "magical intelligence," the vessels through which people interact with that intelligence — smartphones, laptops — are still rooted in a design philosophy born in the mobile internet era.

So-called "AI-native hardware" refers to devices designed from the ground up — at the architectural and interaction level — for AI inference and interaction, rather than simply layering AI features onto traditional smartphones or PCs. The core interaction paradigm of modern smartphones — touchscreens, app icons, notification bars — was born around 2007 and was fundamentally designed for manual human operation. The premise of AI-native devices is that when AI becomes sufficiently intelligent, many operations can be replaced by natural language or contextual awareness, allowing device form factors to be radically simplified or even go screen-free. Earlier attempts in this space include the AI Pin (a screenless wearable device) from Humane, co-founded by former Apple engineers, and Rabbit's R1, a pocket device focused on AI task execution — but neither found market acceptance, illustrating both the high potential and high difficulty of the AI-native hardware category.
Altman went further: "It's just common sense — at least to think about the fact that there should be something beyond these legacy products." This directly articulates OpenAI's core motivation for entering AI hardware: a powerful AI like ChatGPT deserves a physical entry point built truly for AI, not just a patch on top of an old graphical interface.
Altman compared the new device to an "external brain" — an always-present AI companion carried everywhere — suggesting it will fundamentally redefine the way humans interact with machines.
Jony Ive: "The Best Work Our Team Has Ever Done"
In the public conversation, Altman revealed a key detail: Ive called him to say this was "the best work our team has ever done." Given Ive's track record — products that "defined how people use technology" — that kind of statement carries enormous weight. After leaving Apple, Ive founded LoveFrom, a boutique design studio with clients including Airbnb and Ferrari, continuing his signature cross-disciplinary design approach. Altman described it as the institution that has assembled "arguably the greatest concentration of creative talent in history."

Altman said he recently received a prototype of the device and took it home to use, calling it "the coolest piece of technology the world has ever seen." While no specific form factor has been disclosed, the statements from both parties suggest this will be a groundbreaking AI-native device — one that may completely break from traditional screen-based interaction and redefine how people connect with AI.
Media coverage has widely interpreted this as an ambitious bid to "replace the iPhone." Combining Ive's design DNA with OpenAI's model capabilities, this product has the potential to become the defining hardware of the AI era.
A Three-Way Integration: io, LoveFrom, and OpenAI
The organizational structure of this deal is notably unusual. After leaving Apple, Ive founded the design firm LoveFrom, and about a year ago co-founded the hardware company io with former senior Apple engineers including Scott Cannon, Evans Hankey, and Tang Tan.

At its core, this deal is a merger of io and OpenAI, while LoveFrom will continue operating as an independent design firm, providing ongoing design support to the combined entity. The io team brings together experts across hardware and software engineering, physics, research, and product manufacturing.
This combination of "AI capability (OpenAI) + design DNA (LoveFrom) + hardware engineering (io)" creates a complete product loop. It signals that OpenAI is no longer content to be a pure software/model company — it wants to control the full stack from hardware to software to AI, much as Apple once did. There is also a clear commercial logic: OpenAI's product reach has long depended on Apple's iOS and Google's Android ecosystems, meaning both companies can exert strategic leverage at the distribution layer. Building its own hardware entry point fundamentally resolves that channel dependency, while also enabling richer collection of user behavior data to create a flywheel effect for model training.
A Subtle Strategic Move Against Apple
This deal carries another layer of symbolic significance: Jony Ive, the most important design soul in Apple's history, has now joined a company aiming to build "the next generation of computing devices" — representing both a loss of creative talent for Apple and the emergence of a serious potential rival in the AI hardware race.
From an industry perspective, OpenAI's move could accelerate the entire consumer electronics industry's transition toward AI-native hardware. If this device can truly deliver on Altman's promise of "technology helping us become better versions of ourselves," the ripple effects could rival what the iPhone did to the feature phone era.
The AI Hardware Arms Race Is On
OpenAI's $6.5 billion acquisition of io sends a clear signal: AI competition is extending beyond cloud-based model capabilities to encompass the physical devices at the edge. OpenAI is far from the only player in the AI hardware arena — Meta is investing heavily in AR glasses (the Ray-Ban Meta series and the Orion prototype), Google has relaunched Android XR and smart glasses projects, Samsung and Qualcomm are jointly advancing AI PCs and AI smartphone chips, and Apple has built a significant moat in on-device AI inference through Apple Silicon. This means the OpenAI-io combination faces not only design challenges at the product level, but comprehensive competition from tech giants with mature supply chains, distribution channels, and established user bases. As large model capabilities increasingly converge, whoever first defines the "iPhone moment" of the AI era may well control the primary user entry point for the next decade.
Altman is convinced that we are "at the beginning of a new technological revolution." Whatever form the final product ultimately takes, this hardware bet — launched by the former creative soul of Apple in partnership with the leading AI company — deserves the close attention of the entire tech industry.
Key Takeaways
Related articles

Disaster and Glory of the Apollo Program: The History We Must Revisit Before Returning to the Moon
From the fatal Apollo 1 fire to Apollo 8's daring lunar orbit to Apollo 11's successful landing—revisiting the disasters, fears, and compromises of the Apollo program and their lessons for today's return to the Moon.

Netflix Trust Exercise Turns Into Firing Trap: Where Are the Boundaries of Corporate Trust?
A Netflix employee was fired after sharing private info in a trust exercise. We analyze the risks of corporate trust exercises and how employees can protect themselves.

AMD CDNA5 Architecture Deep Dive: Technical Evolution and the AI Computing Competition Landscape
Deep analysis of AMD's CDNA5 architecture covering Chiplet packaging upgrades, HBM memory evolution, and low-precision compute optimization, examining how AMD challenges NVIDIA's AI chip dominance.