Dual Engines of In-house 4nm Chips and Humanoid Robots—Long-term Value Not Fully Priced In

Overview

On May 28, BYD held its Tech Day and officially announced two strategic initiatives: launching an in-house designed 4nm autonomous driving chip (Xuanji A3) and confirming its entry into the humanoid robotics business. J.P. Morgan views these moves as strategic steps toward L3/L4 autonomy and emerging sectors, with potential not yet fully reflected in the current share price (HK$90.30). The firm maintains an Overweight rating with a HK$120 price target, anticipating long-term upside as vehicles equipped with in-house chips enter delivery and humanoid robot applications advance.

Core views

Autonomous Driving Chip Strategy: BYD’s 4nm automotive-grade autonomous driving chip serves as the hardware cornerstone of its autonomy strategy. Compared to peers, it reduces power consumption by ~20% and achieves over 2,100 TOPS through triple-chip synergy. Strategically, this offers three key advantages: first, supply chain independence—reducing reliance on ecosystems like NVIDIA or Qualcomm; second, deep hardware-software integration—BYD claims algorithm-specific optimization can boost utilization by 100%; third, computational redundancy prepares for future L3/L4 regulatory requirements. On the product front, BYD prices its urban navigation feature at RMB 12,000 (with one-year safety assurance for new users) and plans to roll it out across mid-to-low-end models. This vertical integration lowers hardware costs while alleviating user liability concerns—BYD commits to covering financial losses from accidents under proper usage. This could shift consumer behavior: users previously limiting NOA to highways may now adopt urban autonomy if pricing is reasonable and OEM-backed safety assurances are clear. From an execution standpoint, J.P. Morgan welcomes this technical approach but emphasizes the need to monitor how quickly BYD can scale this solution across its full vehicle lineup—expected within the next 6–12 months. At the industry level, the firm anticipates Chinese automakers will rapidly upgrade from L2+ to L3 in 2026, with long-term focus shifting toward physical AI and world models in connectivity and ADAS. Humanoid Robotics Strategy: BYD confirmed the launch of its humanoid robot initiative, positioning it as the next growth engine after automobiles. The company stresses that core competitiveness lies in manufacturing capability and integrated hardware-software systems (“brain + body”)—a structural advantage inherent to automakers. Timeline-wise, BYD began embodied intelligence R&D in 2022, later establishing a 'Future Lab' with a ~4,000-person R&D team (over 30% holding PhDs). The prototype has evolved to its 6th generation, achieving bipedal walking speeds of 1.5 m/s and a 50 kg payload capacity as of 2025. Deployment follows a 'use-it-ourselves-first' factory strategy—prototypes are already being tested at plants in Pingshan (Shenzhen), Changsha, and elsewhere, with hundreds assigned specific tasks (handling, labeling, etc.). BYD explicitly states it is the largest near-term user. Additionally, the company is building an ecosystem through investments in robotics and sensor-related firms and co-founding an 'Embodied Intelligence Joint Lab' with the Hong Kong University of Science and Technology. Media reports indicate BYD aims to deploy ~20,000 humanoid robots internally by 2026 (primarily in factories), with large-scale external commercialization expected to begin in 2028. Applications include industrial tasks like material handling, labeling, inspection, screw tightening, and parts sorting, as well as retail assistant roles at dealerships, with potential overseas expansion in the future. J.P. Morgan considers this a rational strategic move but acknowledges it is currently difficult to quantify the precise financial or valuation impact—the key lies in execution speed and commercialization progress. Nevertheless, the firm agrees that BYD’s vertical integration and manufacturing scale indeed confer competitive advantages in robotics.

Analysis framework

The report evaluates BYD’s two initiatives using a framework combining strategic positioning and execution risk. For the autonomous driving chip, analysis focuses on three dimensions: supply chain security, cost curve, and technical specifications. First, in-house development mitigates dependency on external supplier ecosystems. Second, vertical integration enables hardware-software synergy, optimizing computing utilization and enabling 'democratized' pricing (as low as RMB 12,000) to expand user base. Third, redundant computing capacity lays the groundwork for future L3/L4 regulatory compliance. The firm also highlights a new competitive dimension—'responsibility competition'—where the focus shifts from raw computing specs to who assumes financial liability for real-world safety. BYD’s safety guarantee sets a new benchmark in this regard. For humanoid robotics, the assessment uses a resource endowment and market introduction framework. First, BYD demonstrates strong R&D scale (~4,000 personnel) and talent quality (high PhD ratio). Second, technical progress is evident (6th-gen prototype, field-tested). Third, the 'use-it-ourselves' strategy is feasible and advantageous—internal demand provides the best validation for business models. Fourth, ecosystem building (investments + joint labs) supports future external expansion. However, the firm remains cautious: precise financial contributions remain hard to forecast at this stage, pending market signals and delivery data.

Methodology notes

• Company Fundamentals and Financial FrameworkVertical Integration Analysis

  BYD optimizes both cost and performance through in-house chips and vertically integrated hardware-software coupling

  Vertical integration gives companies stronger control over supply chains, cost structures, and product competitiveness. In chips, BYD’s in-house development—not procurement—ensures supply stability and enables tight hardware-software collaboration to boost computing utilization (claimed up to 100% improvement). This represents a structural difference versus competitors reliant on third-party chips.

• Competition and Strategy FrameworkMoat / competitive advantage

  BYD’s competitive advantages in autonomous driving and humanoid robotics stem from manufacturing scale, production capability, and hardware-software integration

  A moat refers to factors enabling sustained competitive advantage. In autonomous driving, BYD’s moat includes over 3.15 million ADAS-equipped vehicles on the road, daily data mileage exceeding 200 million km, and a 5,000+ autonomous driving R&D team—this scale and data allow precise feature definition and risk pricing. In robotics, vertical integration and manufacturing scale from auto production are structural advantages hard for others to replicate.

• Industry/Sector Analysis FrameworkCost curve analysis

  Through in-house chips and scale deployment, BYD can continuously drive down the hardware cost curve for advanced autonomous features

  Cost curve analysis examines how unit costs decline with mass production. BYD prices its autonomous feature at RMB 12,000 and offers it as an option on mid-to-low-end models. Vertical integration lowers chip hardware costs, and higher penetration plus volume further spreads fixed costs—creating a virtuous cycle of 'democratizing' premium features.

• Event Game Theory and Behavioral FinanceExpectation Management

  BYD manages consumer 'fear of use' anxiety through safety commitments and OEM backing, altering adoption behavior

  Expectation management involves guiding market and consumer expectations through disclosures and commitments. BYD doesn’t just offer a feature—it directly addresses user liability anxiety via a one-year safety guarantee (covering financial losses from properly used accidents). This innovative positioning psychologically lowers adoption barriers and may shift the demand curve upward.

Asset mapping & comparison

Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).

• BYD Company Limited~H (1211.HK)

  Direct beneficiary of the two strategic initiatives—in-house chips and humanoid robots—which are expected to create new long-term growth drivers

  Strengths

  Strong vertical integration; over 3.15 million ADAS vehicles generating data; 5,000+ autonomous driving R&D staff; humanoid robot prototypes already in factory testing; manufacturing scale advantage; in-house chips reduce external dependency and optimize cost structure

  Weaknesses

  Both new businesses are early-stage with unclear profitability; humanoid robot commercialization timeline is long (mass rollout expected in 2028); requires sustained high R&D investment

  Comparison

  Clear vertical integration edge over competitors reliant on third-party chips; stronger manufacturing capability and capital support than other new entrants in robotics

  Risks

  Execution risk:能否 meet 6–12 month timeline for chip rollout across vehicle lineup; uncertainty in humanoid robot commercialization or market demand; competitive responses from traditional automakers (e.g., Volkswagen, Geely, Great Wall) and EV startups; regulatory changes delaying L3/L4 autonomy

Key data

• In-house Chip (Xuanji A3) Power Consumption~20% lower than peersLeading advantage in energy efficiency
• In-house Chip Computing PowerOver 2,100 TOPS (3-chip synergy)Total computing power achieved through multi-chip integration
• ADAS-Equipped Vehicle FleetOver 3.15 million on the roadFoundation for data accumulation and risk pricing
• Daily Data MileageOver 200 million km/daySupports feature definition and safety evaluation
• Autonomous Driving R&D TeamOver 5,000 personnelScaled R&D investment
• Urban Autonomous Driving Feature PricingRMB 12,000Price point targeting mid-to-low-end models
• Humanoid Robot R&D Team~4,000 personnel (over 30% PhDs)High-caliber R&D workforce
• Humanoid Robot Prototype Generation6th generation (as of 2025)Iteration progress
• Humanoid Robot Walking Speed1.5 m/s (bipedal)2025 prototype performance metric
• Humanoid Robot Rated Payload50 kg2025 prototype performance metric
• Planned Internal Robot Deployment in 2026~20,000 unitsPrimarily in factories; mass commercialization expected to start in 2028
• Target Price (PT)HK$120Valid until December 31, 2026, based on multi-method valuation and DCF
• Long-term Fair Value RangeHK$94–145Depends on market sentiment and risk appetite; target price is the midpoint
• Current Price (Report Date)HK$90.30May 28, 2026
• Implied Upside32.8%From current price to target price

Impact & implications

These two strategic initiatives impact BYD across three time horizons: In the short term, the launch of in-house chips and commercialization of urban autonomous driving will further enhance BYD’s product competitiveness. Vertical integration lowers hardware costs, while safety commitments alleviate user anxiety—potentially boosting ADAS penetration and per-vehicle revenue. Initial factory use of humanoid robots will help BYD reduce internal costs and improve efficiency, with potential for future external robot-as-a-service sales. In the medium term, the chip strategy strengthens BYD’s supply chain autonomy and cost competitiveness. As chips achieve mass production and vehicle integration, BYD can broaden ADAS coverage across its lineup and elevate brand positioning. If humanoid robotics progresses as planned, it will open a new revenue stream. Long term, both initiatives reflect BYD’s push toward deeper integration across 'hardware + software + services.' In-house chips are key to competing in the L3/L4 era—once regulations ease, BYD’s independent chip architecture and data assets will become clear advantages. Humanoid robotics represents a new manufacturing frontier where BYD’s vertical integration and scale experience may create sustainable competitive edges. For investors, these initiatives may not immediately show in financials, but successful execution could unlock new growth drivers and valuation upside over the medium to long term. J.P. Morgan believes the current share price does not fully reflect this potential and thus maintains an Overweight rating.

Risks

• Sales below expectations and intensified competition from domestic and international mass-market brands (e.g., Volkswagen, Geely, Great Wall)
• Delays in mass production or large-scale rollout of in-house chips beyond planned timelines
• Slower-than-expected commercialization of humanoid robots or weaker-than-anticipated market demand
• Regulatory changes in autonomous driving policies potentially delaying L3/L4 feature launches
• Volatility in supply chain or cost control
• High initial investment and long payback periods for new businesses, pressuring short-term financial performance

What to watch

• Adoption rate and penetration of the 4nm in-house ADAS chip across BYD’s vehicle lineup (rollout expected within 6–12 months)
• Actual user adoption and safety performance of urban autonomous driving (urban navigation) features
• Scale and efficiency gains from internal humanoid robot deployment in BYD factories (target: 20,000 units by 2026)
• Timeline and customer expansion progress for external humanoid robot commercialization (mass rollout expected to start in 2028)
• Competitor developments and responses in autonomous driving chips and humanoid robotics globally
• Regulatory developments in autonomous driving, especially L3/L4 compliance and liability frameworks
• Capacity ramp-up at BYD’s global plants (Hungary, Indonesia, Malaysia, Brazil, etc.) and overseas sales growth