Developing a proprietary, in-house AI and software stack is non-negotiable for owning the complete user experience and driving future innovation.
Deeply integrated, native AI assistants will ultimately render phone projection systems like Apple CarPlay and Android Auto obsolete in automobiles.
A successful automotive software platform must be built on a common core (80-90%) but provide flexible hooks for brands to customize critical elements like UI and driving dynamics.
The future of all Volkswagen Group electric vehicles, from mass-market to luxury, will be built upon the software and electrical architecture developed by the RV Tech joint venture.
Significant on-device compute power for AI is a critical hardware investment and a key differentiator for next-generation vehicles like the Rivian R2.
Pre-2019 (approx.)
Rivian operated with high customer demand for CarPlay, with over 70% of prospective buyers requesting the feature according to company surveys.
Strategic Development Phase
Rivian, under Ben Sayed's software leadership, made the strategic decision to develop its own AI solution and software stack in-house rather than relying on third-party providers.
Recent Past
The RV Tech joint venture with Volkswagen was formed, with Ben Sayed appointed co-CEO. The venture was established with a team of 800-900 Rivian developers and about 50 from VW Group.
Present
Ben Sayed reports that recent surveys show customer requests for CarPlay have dropped to less than 25%. Development is underway on the Rivian R2 and the co-developed VW ID.1.
Near Future
The Rivian R2 is planned for launch before the R3X, featuring 5G connectivity and up to 200 sparse TOPS of on-device AI compute.
Long-term Future
Ben Sayed envisions a future where RV Tech's platform powers every electric vehicle in the Volkswagen Group and deep AI integration makes the CarPlay debate obsolete.
▶RV Tech: A Platform for an EmpireMay 2026
A dominant theme is the creation and strategic importance of RV Tech, the joint venture with Volkswagen. Ben Sayed describes it not just as a partnership, but as the future software and electrical foundation for every electric vehicle across the entire VW Group, from mass-market models like the ID.1 to luxury brands like Bentley and Porsche.
The success of this venture represents a massive scaling opportunity for Rivian's technology, but also introduces significant execution risk in serving a diverse portfolio of brands with varying requirements, potentially diluting the focus that has defined Rivian's product so far.
▶The Bet on In-House AI over CarPlay
Ben Sayed is a firm proponent of developing a proprietary, deeply integrated AI assistant. He argues that this approach is essential for owning the user experience and will eventually render phone projection systems like CarPlay obsolete, citing internal survey data showing a dramatic drop in customer requests for the feature.
This is a high-stakes gamble that pits Rivian's long-term vision against near-term consumer expectations, potentially alienating a segment of the market if its native system fails to deliver a demonstrably superior experience.
▶Vertical Integration and Strategic ControlMay 2026
Throughout the claims, a philosophy of strategic control over the technology stack is evident. This is seen in the decision to build an in-house AI solution, create a model-agnostic architecture for the Rivian Assistant, and structure the RV Tech JV to provide a core platform that Rivian ultimately architects.
This focus on vertical integration gives Rivian significant control over its destiny and user experience but also saddles it with the immense cost and complexity of competing with specialized tech giants like Google and Apple in their own domains.
▶Hardware and Software Co-developmentMay 2026
Ben Sayed emphasizes the tight coupling of hardware and software decisions. This is exemplified by the choice to equip the upcoming R2 with up to 200 sparse TOPS of dedicated AI compute, a decision made by the CEO as part of the vehicle's differentiation budget to enable powerful on-edge AI capabilities.
This highlights a core belief that future vehicle differentiation will be driven by computational power and the AI-driven features it enables, treating silicon as a key product feature on par with battery range or performance.