Recently, Serenity has repeatedly emphasized in multiple reports that the automotive and robotics supply chains are accelerating their integration, and a new industrial chain centered around embodied intelligence is taking shape, pushing traditional automotive parts suppliers to the upstream entrance of this chain. One of its key cases is Germany's Schaeffler: based on existing businesses and product lines, Schaeffler has established cooperation with about 45 humanoid robot companies. Relevant research estimates that within the scope of parts covered by these collaborations, Schaeffler's products theoretically could cover about 50% of the humanoid robot BOM costs, regarded by Serenity as a typical example of the automotive industry's entry into embodied intelligence, and thus labeled as having "core component positioning and future pricing revaluation expectations." In line with the hardware side, a report by Fortune shows that SpaceX is in contact with U.S. broadband operators to establish a partnership in the mobile communications service sector, aiming to jointly launch a consumer-focused mobile communication service. This is seen by some analysts as an attempt to combine its satellite capabilities with ground networks to compete for signals at the "other end" of this communication infrastructure during the embodied intelligence era. The overall landscape is still in the early stages of evolution and uncertainty.
The automotive supply chain enters the robotics battlefield: Schaeffler's cooperation map
Structurally, humanoid robots do not emerge as an entirely new category chain out of nowhere. Serenity's analysis points out that automobiles and robots highly share core components such as drive systems, joints, and bearings: motor output needs to precisely control torque through reduction and transmission, joints need to maintain low friction and high reliability under high load and long-life conditions, which aligns with the engineering constraints of automotive chassis and powertrains. For component suppliers that have already completed scaled development, validation, and mass production in the automotive industry, transferring mature drive, bearing, and joint modules to humanoid robot platforms is equivalent to overlaying new demands onto existing processes and supply systems, rather than building an entirely new production line from scratch. This gives the automotive supply chain a natural cost and engineering advantage in extending to embodied intelligence.
In this context, Serenity views Schaeffler as a typical example: its analysis indicates that Schaeffler has established partnerships with about 45 humanoid robot companies, covering various robot manufacturers and solutions, and has completed a "wide-net" forward layout even while the industry is still in the early stage of differentiation. Relevant research estimates that under the current cooperation and product line configuration, Schaeffler can theoretically cover about 50% of the humanoid robot BOM costs, which means it has the potential to hold a significant portion of key component supply and pricing power within the overall machine cost structure. As embodied intelligence extends from industry into logistics, services, and other scenarios, the increase in BOM coverage not only amplifies single project orders but may also change the revenue structure and valuation anchor of this traditional automotive parts supplier. However, whether this revaluation path can be realized still depends on the actual penetration speed of embodied intelligence and whether Schaeffler can sustain such core component positioning in subsequent projects.
Controlling the pricing of core components: Schaeffler is expected to be revalued
For embodied intelligence manufacturers, core components are not only the largest segment of the BOM but also directly determine drive efficiency, overall machine reliability, and unit cost curves. Once a stable supply relationship is formed in these areas, replacement costs for component manufacturers throughout the project lifecycle will significantly increase, naturally enhancing their bargaining power compared to standard component suppliers. Serenity's analysis indicates that Schaeffler's positioning on core components related to embodied intelligence means it is not merely providing "ancillary support," but holds key positions affecting the overall cost structure and performance boundaries, which is the logical basis behind the judgment that its products could theoretically cover about 50% of the humanoid robot BOM costs.
Within this framework, the expectation of "pricing revaluation" is more about discounting future industrial patterns: research suggests that once the embodied intelligence supply chain transitions from the pilot phase to mass production, suppliers who control core components are likely to gain stronger pricing power, and their valuation system may tilt from the cyclical attributes of traditional automotive parts toward long-term growth characteristics of embodied intelligence. Schaeffler currently connects traditional automotive business on one end while penetrating into embodied intelligence through collaborations with about 45 humanoid robot companies, regarded by Serenity as a typical example of how the automotive industry is entering a new track. The market's imagination for it is transitioning from the possibility of "automotive+" to "automotive+embodied intelligence" revenue structure, while the key lies in whether the actual fulfillment of embodied intelligence business's revenue share and profit elasticity in the coming years can sufficiently support this valuation reconstruction story.
Demand moves from factories to society: embodied intelligence lengthens automotive parts prosperity
From the demand side, Serenity defines embodied intelligence as a long-term industrial direction covering multiple scenarios such as industry, logistics, and services. Research points out that humanoid robots and various embodied intelligence devices can undertake repetitive mechanical tasks such as handling, assembly, and inspection in manufacturing, intervene in storage sorting and last-mile delivery in logistics, and have opportunities to enter offline service and operational positions in the service industry. The common feature of these devices is their heavy reliance on mechanical subsystems such as joints, reduction gears, and transmission systems for long-term stable operation, meaning the demand for machinery and transmission components is no longer limited to a single industry, but rather "stretched" in time and space with the penetration of different scenarios, providing related suppliers with a continuous source of cross-industry, cross-application orders. Analysis suggests that the mechanical and transmission component demand brought by embodied intelligence is expected to create new increments beyond traditional automotive demand, allowing parts production capacity, which was originally highly dependent on automotive production and sales cycles, to start tapping into a more dispersed and broader end-demand pool.
In contrast, the traditional automotive industry is characterized by a demand that is highly correlated with macroeconomics, credit environments, and renewal cycles. The performance fluctuations of parts manufacturers are often tied to the prosperity of a single large product category. If, as Serenity suggests, embodied intelligence gradually moves from factories to logistics and services, demand will naturally exhibit characteristics of multi-industry and multi-scenario overlap, making some automotive parts suppliers likely convert from "single automotive cycle stocks" to "multi-terminal platform suppliers," viewed by the market as structural beneficiaries. However, the report also emphasizes that the overall embodied intelligence market is still at a relatively early development stage, with uncertainties regarding industry penetration rates, actual implementation progress in downstream scenarios, and the corresponding revenue growth rhythm. Whether embodied intelligence can truly extend the prosperity of automotive parts will depend on the speed of cross-industry application dissemination and the sustainability of demand intensity as a core variable.
Satellite knocks on cellular networks: SpaceX's push into mobile phone services
Fortune reports that SpaceX is in contact with U.S. broadband operators to discuss establishing a partnership in the mobile communication service sector, with the core idea being for both parties to jointly launch a consumer-focused mobile communication service. In this framework, SpaceX provides its in-orbit satellites and space link capabilities, while U.S. operators offer existing ground networks, spectrum, and user-side operational systems, extending satellite capabilities originally more used for fixed broadband scenarios to personal mobile phone terminals through a "space-based + ground" combination. It is important to emphasize that current reports have not disclosed specific names of cooperating parties, business terms, and timelines; these key pieces of information remain to be verified variables, and all market simulations of its business model details should be regarded as hypotheses rather than established facts.
Potentially, SpaceX serves to fill gaps in traditional operators' wide-area coverage in remote areas, complex terrains, and emergency scenarios, while operators continue to dominate high-capacity, low-latency cellular networks in urban scenarios. Through collaboration between terminals and network sides, they aim to enhance overall usability and continuity for users. Viewed from the perspective of embodied intelligence, this combination is especially critical for mobile robots, remote-controlled devices, and endpoints reliant on cloud-based collaboration: as application scenarios extend from enclosed factories to outdoor logistics, urban services, and even cross-regional operations, wide-area, stable mobile communication networks will directly determine the operational boundaries and safety redundancies of devices. Therefore, the deep coupling of mobile communication and satellite networks constitutes an indispensable communication infrastructure for the realization of embodied intelligence, and in the future, the quality of coverage, cost structure, and degree of openness will become important leading indicators for observing the expansion speed of the embodied intelligence industry.
When machinery meets connectivity: the dual foundation of embodied intelligence
As previously mentioned, the embodied intelligence industry chain is building two foundational blocks simultaneously: one is the "mechanical foundation" provided by automotive part suppliers like Schaeffler, which theoretical coverage of about 50% of BOM costs through cooperation with about 45 humanoid robot companies, laying the groundwork for standardized and cost curves for large-scale robot bodies; the other is represented by SpaceX as the "connectivity foundation," which is reportedly in contact with U.S. broadband operators to jointly launch consumer-focused mobile communication services, viewed by some analysis as an early signal of the coupling of satellite capabilities with ground networks to provide wide-area connectivity for embodied terminals. From an industrial and investment perspective, the former focuses more on extending traditional manufacturing capabilities to new scenarios, aiming for potential revaluation brought by future demand expansions for embodied intelligence as emphasized by Serenity's cooperative map and product matrix; the latter cuts in from the communication infrastructure side, betting on the incremental demand for high-reliability connections from the next generation of terminals, despite business models and cooperation terms not being publicly disclosed. It is important to highlight that whether it is Schaeffler's revenue share related to embodied intelligence or SpaceX's actual commercialization path for mobile communication plans, both are currently in the development and negotiation phases. The analyses provided by Serenity and Fortune are still based on publicly available information, with key assumptions hinging on the penetration speed of embodied intelligence and its demand elasticity on both machinery and connectivity fronts, and these variables can only be tested through the rhythm of subsequent project implementations, disclosed data, and ongoing valuation reactions.
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