Faraday Future has unveiled nine new embodied AI devices and four industry productivity solutions as it expands beyond electric vehicles into robotics. The company’s latest lineup spans humanoid and quadruped systems, with prices ranging from $9,990 to $137,900, alongside software, skills and industry-specific services.
Faraday Future is attempting to turn its move into embodied AI robotics into a broader technology business, unveiling nine new robot devices and four industry solutions at its September 19 “919” launch event.
The company, best known for its electric-vehicle ambitions, says its new robotics strategy is built around a “Four-Core Full-Stack AI” ecosystem. The model combines EAI Devices, AI and skills, industry productivity solutions, and an ecosystem of partners and services rather than treating a robot as a standalone hardware product.
The latest launch expands the company’s product range across two major robot forms and five models. Faraday Future says the nine devices are immediately available for sale and delivery, with prices spanning $9,990 to $137,900. The company reported cumulative EAI robot sales and shipments of 552 units through the end of August, with positive product gross margin.
The lineup includes the full-size FF All-New Futurist, a professional humanoid available at $89,900 for the Standard model and $129,900 for Ultra. The FF Master Mini starts at $9,990 and is aimed at education, development and robotics competitions. Faraday Future also introduced the FX Aegis Mega, FX Aegis Classic Ultra-W and FX Aegis Hyper quadruped platforms for applications ranging from industrial operations to security and companionship.
The Master Mini is particularly notable as the company’s attempt to reach a lower-cost education and developer market. Faraday Future’s product specifications list a Qualcomm QCS8550 platform with 48 TOPS of AI compute, a stereo depth camera, a 9-axis IMU, microphone array, ROS 2 SDK and over-the-air updates.
The pricing structure is also part of Faraday Future’s ecosystem strategy. Several devices include bundled “Skills Packages,” while customers can purchase a device alone, add skills, or buy an EAI Device combined with an industry solution.
That distinction is important as robotics companies increasingly move toward business models based on software, services and recurring deployment rather than one-time hardware sales.
IDC estimates that global humanoid robot shipments will exceed 510,000 units by 2030, representing a compound annual growth rate of nearly 95%. But the research firm also says the market is moving from technical demonstrations toward real-world deployment, with stability, cost, ROI and operations remaining major barriers.
Faraday Future is attempting to address those barriers through its Industry Productivity Solutions Core. The company announced four solutions covering K–12 education, research, security and inspection, turning individual robots into packages designed around specific workflows.
This reflects a broader change in how the robotics industry is approaching physical AI. IDC recently described physical AI as a systems market rather than simply a robot category, emphasizing sensing, analysis, execution, data and governance across physical environments. Its research found that 16.7% of surveyed organizations ranked physical AI among their top AI investment priorities for the next 24 months.
Faraday Future’s strategy also relies on reusing technology developed through its automotive business. CEO YT Jia said the company is bringing 12 years of AI and industry capabilities from its vehicle operations into robotics, while using internal development alongside external collaboration.
The company is simultaneously building a “Built in USA” program intended to localize elements of manufacturing, supply chain and compliance for future robot generations. It has also established a 6+1 Direct Sales and Robot-Sharing Rental Network, giving customers the option to access robots through purchases or shared-use models.
The latter strategy could become important for customers unwilling to make large upfront capital investments in emerging robotics technology. Faraday Future says its RoboShare business has signed an MOU with U.S. robot rental platform Hifivebot and is evaluating expansion into additional physical-AI categories, including autonomous shared mobility.
The company is also attempting to build an industry ecosystem around its hardware. Its Global EAI Industry Bridge and EAI Robotics “Made in USA” Alliance are intended to bring suppliers, customers and capital partners into the broader platform.
The competitive environment remains challenging. Gartner predicts that fewer than 20 companies will scale humanoid robots into production for manufacturing and supply-chain applications by 2028, while most deployments will remain limited to controlled environments.
That makes Faraday Future’s emphasis on multiple form factors and application-specific solutions significant, although its claims about competitive breadth and price-performance remain company assertions rather than independently established market rankings.
The company’s latest launch therefore represents more than a larger robot catalog. Faraday Future is trying to establish an integrated AI agents, robotics, edge AI and industry-solutions platform in which hardware provides the physical interface, while skills, software, data and services create the longer-term value.
Whether that model can scale beyond early deployments will depend on reliability, economics and repeatable customer use cases—precisely the areas where the broader embodied AI market is now moving from demonstrations toward commercial deployment.
Market Landscape
Embodied and physical AI are moving toward commercialization, but the industry remains at an early stage. IDC estimates global humanoid shipments reached roughly 18,000 units in 2025, up nearly 800% year over year, and projects shipments above 510,000 by 2030. The research firm says competition is increasingly shifting toward engineering, application value, ecosystem development and real-world deployment.
The broader AI market is also creating a substantial infrastructure and software backdrop. Gartner forecasts worldwide AI spending of $2.7 trillion in 2026, up 49.5% year over year, with AI infrastructure accounting for a major share of spending.
For robotics vendors, that means differentiation is expanding beyond mechanical design. AI models, edge compute, perception, data collection, autonomy, cloud infrastructure and recurring services are becoming interconnected parts of the robotics stack.
Top Insights
- Faraday Future has expanded its EAI portfolio with nine devices spanning humanoid and quadruped forms, priced from $9,990 to $137,900.
- The company is combining robot hardware with skills, AI capabilities and industry solutions to create a broader embodied-AI platform.
- Four new solutions target K–12 education, research, security and inspection, moving the strategy toward application-specific robotics deployments.
- Faraday Future reported 552 cumulative EAI robot sales and shipments through August, while targeting broader commercialization through direct sales and rental models.
- The company’s approach arrives as the robotics industry shifts from demonstrations toward measurable deployment, ROI, reliability and ecosystem development.
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