Faraday Future Expands Robotics Strategy With 'One Brain, Multiple Forms'

(MENAFN- Robotics & Automation News) Faraday Future is best known as an electric vehicle company, but it increasingly sees its technology base as applicable to a much wider range of machines – particularly robots.

The company argues that many of the technologies developed for intelligent electric vehicles – including artificial intelligence, computer vision, sensor fusion, localization, connectivity, simulation and over-the-air software – can be transferred into humanoids, quadrupeds and other robotic platforms.

Faraday Future describes this approach as“One Brain, Multiple Forms”, with a common intelligence and software platform supporting vehicles and different types of robots. It is also developing what it calls a“Four-Core Full-Stack AI” strategy encompassing its EAI Brain, EAI Devices, Industry Productivity Solutions and Developer Platform, and EAI Data Factory.

The company says the strategy is already moving beyond development into commercialization. Faraday Future reports sales and shipments of 152 robotics units in July, taking its cumulative total for 2026 to 394 units by the end of that month. It is targeting applications including education, commercial services and entertainment, security and inspection, industrial productivity and logistics.

Another element of the strategy is RoboShare, a robot rental and sharing platform operated by AIxCrypto Holdings, in which Faraday Future says it is the majority and controlling shareholder. The platform is intended to give companies access to robots without requiring them to purchase the machines outright.

In this interview, Chris Chen, who heads Faraday Future's global brand and marcom sales team, discusses why the company regards robotics as a natural extension of the intelligent vehicle, which automotive technologies can transfer into robots, and where it expects commercial adoption to happen first.

Chen, who joined Faraday Future in 2015 after a career spanning the media and automotive industries, also discusses simulation and virtual training, the potential convergence of the automotive and robotics industries, RoboShare's role in commercialization, and the technical and economic obstacles that still stand between today's robots and widespread deployment.

Interview with Chris Chen

Robotics & Automation News: What is the long-term vision behind FF's expansion into robotics?

Chris Chen: FF has vast experience and has accumulated deep capabilities in software, AI, perception, connectivity, and hardware-software integration. We have always viewed our vehicles as an intelligent vehicle robot with four wheels, so robotics is a natural extension.

Our goal is not just to sell hardware, but to build a complete Physical AI ecosystem through the“Four-Core Full-Stack AI” strategy: EAI Brain, EAI Devices, Industry Productivity Solutions and Developer Platform, and EAI Data Factory.

This strategy is already showing commercial progress. FF achieved sales and shipments of 152 robotics units in July, bringing the 2026 cumulative total to 394 units by the end of July.

The company's global operating strategy is designed to support its Embodied Artificial Intelligence (EAI) business, including the electric car vehicle business and robotics business. The strategy is anchored in the AIAI platform through geographically diversified engineering, manufacturing, and commercial capabilities.

Core vehicle design, engineering, and manufacturing activities are primarily conducted in the United States, supported by global supply chain. In addition, the Company is establishing a manufacturing presence site in the United Arab Emirates to support regional vehicle sales and expand its international footprint.

This corporate structure enables the Company to pursue capital-efficient growth, maintain operational flexibility, and access multiple capital markets while aligning its organizational resources with evolving strategic priorities.

The organizational structure and key operating entities are illustrated in the organizational chart below, followed by a summary of significant corporate and operational milestones.

EAI robotics is approaching a critical inflection point, moving rapidly from research in the lab to large-scale, real-world deployment. I believe that a breakout moment is imminent. Embodied intelligence is fast becoming a national strategic capability, on par with AI and semiconductors.

This move is a natural extension of the AI DNA that has been embedded in FF since day one. It is also the inevitable evolution of the vehicle-as-robot concept we proposed ten years ago.

R&AN: How much intelligent-EV technology can be transferred into robotics?

CC: A significant amount can be transferred, including voice interaction, computer vision, sensor fusion, localization, autonomous decision-making, simulation, operating systems, connectivity, and over-the-air updates.

FF calls this approach“One Brain, Multiple Forms” – using a common intelligence and software platform across vehicles, humanoids, quadrupeds, and other robotic forms.

Each form still requires specialized development, such as balance, manipulation, whole-body control, and safe human-robot interaction. FF's Open Developer Platform, SDK, and API interfaces can also help partners build new Skills, Agents, and applications.

R&AN: Which commercial markets will adopt robots first?

CC: We are focused on four major areas: education, commercial service and entertainment, security and inspection, and industrial productivity and logistics.

We plan to focus on a number of various businesses and industries with our Robot World – meaning we are offering more than one robot for one industry – we believe it makes more sense to focus on many areas with a full stack of robots focused on core areas.

FF offers a“Full-Form-Factor FF EAI robot World” in the US, along with its“Four-Core Full-Stack AI”. This potential advantage reflects the unique value of FF EAI Robotics and its bridge strategy.

FF invites robot manufacturers, component suppliers, AI companies, software developers, system integrators, distributors, and solution partners to join FF's US robotics ecosystem, positioning FF as one of a very limited number of robotics companies – and for some overseas companies, the only practical end-to-end pathway – to enter and scale in the US.

In education, FF provides more than hardware. We are building an ecosystem around curriculum, teacher training, developer tools, and hands-on learning.

FF has signed strategic cooperation MOUs with Lynwood Unified School District and El Segundo Unified School District and recently conducted three one-week robotics summer camps.

Across the other areas, we prioritize practical, high-frequency applications such as reception, performances, patrols, inspections, material handling, and sorting.

RoboShare's first paid commercial project is planned to use six robots across three categories, providing an early example of multi-robot commercial deployment.

We remain firmly committed to becoming the leading provider of EAI robotics education solutions in the US, while establishing a dominant market position across industrial and security inspection verticals.

To achieve this, we are deploying dedicated regional sales architectures prioritizing coverage across California, Texas, New York, and the US East Coast, supported by specialized key account managers across education, industry, performance and hospitality, and security inspection.

R&AN: How important are simulation and virtual training?

CC: Simulation and world models are essential because they reduce development time, cost, and physical testing risks. Nvidia Omniverse and Cosmos are important industry examples.

The key is closing the sim-to-real gap through a continuous loop: simulation and pre-training, real-world deployment and data collection, post-training, validation, and redeployment.

FF supports this process through the EAI Data Factory. In Q2, the platform completed its initial commercial closed loop and generated initial sample payments. FF also plans to deepen the integration of Nvidia's technology stack with its EAI Brain and robotics platform.

R&AN: Will the automotive and robotics industries merge?

CC: The technologies that drive both industries will increasingly converge because vehicles and robots can share many of the same platforms like AI, perception, simulation, connectivity, operating systems, batteries, and data infrastructure.

FF's“One Brain, Multiple Forms” and“Four-Core Full-Stack AI” strategies allow one technology ecosystem to support different vehicles and robotic forms.

The products will remain distinct because they require different hardware, safety standards, regulations, and workflows. FF's“Built in USA” initiative can provide a shared foundation for technology, compliance, supply chain, and future production.

R&AN: How does RoboShare fit into FF's robotics ecosystem?

CC: RoboShare is AIxC's robot-sharing and rental platform, and FF is AIxC's majority and controlling shareholder. Both of these companies are developing a closer strategic relationship focused on Physical AI commercialization.

RoboShare aims to create an“Uber + Turo” model for robotics, turning robots from one-time hardware purchases into productive assets that can generate rental, transaction, and service revenue.

RoboShare has completed its first paid commercial order, onboarded an initial supply pool of more than 80 robots, and launched its“Ten-City Strategy”, beginning in Los Angeles.

This can create a dual flywheel: FF's products and technology support RoboShare, while rentals and real-world deployments can support sales, recurring services, customer feedback, and product improvement.

R&AN: What is the biggest obstacle to widespread robot adoption?

CC: The main challenge is delivering reliable and measurable value in real customer environments. Robots must help customers in certain parts of their lives like reducing costs, increasing their productivity in everyday tasks, or generating revenue.

Data is essential, but it is not enough. AI models, sensors, actuators, materials, energy systems, and robot body structures must evolve together. Physical AI has not yet reached its“ChatGPT moment”.

FF is addressing this through real-world device deployment, the EAI Data Factory, the EAI Brain, Industry Productivity Solutions and Developer Platform, and commercial channels such as RoboShare.

Costs – more production, more users and more manufacturers will drive down costs eventually. Safety Risks that we have to engineer in and account for as well as educate our users.

Energy Limits: High-performance onboard computing drains batteries quickly, limiting operational runtimes. Regulations are not quite as stringent as the automotive industry, but they exist and again we are planning this in the best way possible.

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