Meade, who spent more than a decade at Apple, most recently served as Head of Hardware Engineering for Vision Pro. He joins OpenAI's expanding hardware division, which is being led by former Apple design chief Jony Ive following OpenAI's acquisition of Ive's AI hardware startup, io, in a deal valued at nearly $6.5 billion.
The appointment comes as OpenAI moves beyond software and large language models into AI-native hardware, signalling its intention to develop consumer devices built specifically around generative artificial intelligence. While the company has not publicly revealed details of its first product, Chief Executive Sam Altman and Ive have previously indicated they are working on a new category of AI devices rather than building a conventional smartphone or wearable.
Meade brings extensive experience in designing and shipping complex consumer hardware products. During his tenure at Apple, he worked across several engineering programmes before leading hardware development for Vision Pro, Apple's first mixed reality headset. His background includes product engineering, systems integration and large-scale hardware development, expertise considered valuable as OpenAI builds its own consumer hardware ecosystem.
The hiring also continues a broader pattern of OpenAI recruiting experienced Apple engineers for its hardware initiative. Several former Apple executives and engineers have already joined the company, reflecting the growing convergence between artificial intelligence, industrial design and consumer electronics.
OpenAI's hardware strategy gained significant momentum earlier this year after the acquisition of io, the startup co-founded by Jony Ive and several former Apple designers. The acquisition brought together a multidisciplinary team focused on designing AI-first consumer products that integrate hardware, software and advanced language models into a unified experience.
Industry analysts believe OpenAI is seeking to redefine how users interact with artificial intelligence beyond smartphones and personal computers. Rather than relying solely on applications running on existing devices, the company appears to be exploring dedicated hardware designed around natural conversation, contextual awareness and multimodal AI interaction.
The development comes as competition intensifies across the AI hardware market. Companies including Apple, Meta, Google, Humane and Rabbit have introduced or announced AI-focused devices and interfaces aimed at creating more intuitive ways for consumers to access artificial intelligence. While commercial success has varied, technology companies continue investing heavily in AI-native computing experiences.
For OpenAI, hardware represents an opportunity to control both the software intelligence and the physical device through which users access AI. Similar to how Apple combines hardware and software within its ecosystem, OpenAI could potentially create tightly integrated experiences optimised specifically for its AI models.
The appointment of Meade also highlights the increasing importance of engineering talent in the race to commercialise AI hardware. Developing successful consumer devices requires expertise not only in artificial intelligence but also in industrial design, manufacturing, supply chains, sensors, battery technology and systems engineering.
Although OpenAI has not disclosed launch timelines or product specifications, Sam Altman has previously suggested that the company's first hardware products will focus on creating entirely new user experiences rather than replacing existing devices. Industry observers expect any future products to emphasise voice interaction, contextual intelligence and seamless AI assistance across everyday tasks.
The latest recruitment reinforces OpenAI's long-term commitment to expanding beyond software into consumer electronics. By adding experienced leaders from Apple's hardware organisation, the company is assembling expertise capable of developing products that combine advanced AI capabilities with premium industrial design and engineering execution.
As AI companies increasingly compete across hardware as well as software, talent movement between leading technology firms is expected to remain a defining feature of the industry's next phase of innovation.