车企不“造人” 就出局？

By 2026, nearly 20 leading global and domestic automakers have entered the humanoid robot sector en masse, marking the industry’s transition from early-stage technical exploration to a mass production race. This article analyzes the background, drivers, and unresolved challenges of this trend, with key takeaways below:

1. Core background of the entry wave: China’s auto industry is now mired in cutthroat存量 competition, with sales declining year-over-year for two consecutive years. Passenger vehicle retail sales dropped 19% YoY in the first five months of 2026, and severe product homogenization combined with price wars has pushed industry profitability steadily down to just 3.4% in January-April 2026. Automakers are collectively searching for new transformation breakthroughs.

2. Inherent advantages for automakers: Smart vehicle and humanoid robot technologies share over 70% overlap in core architectures, while existing supply chains and go-to-market scenarios can also be reused. This makes entry far less costly than for players from other industries. The technology can also cut costs and improve efficiency for automakers’ own factories, while unlocking new financing opportunities and brand premiums.

3. Three critical hurdles to overcome: Developing the AI "brain" of humanoid robots is far more challenging than building autonomous driving systems; core components cannot be adapted from existing auto parts and require full redesign; and commercial use cases remain narrow and underexplored. The sector’s window of opportunity is narrowing, and overall uncertainty remains high.

This article outlines the logic behind automakers’ entry into new sectors amid存量 competition, offering valuable insights for brands to track consumer trends and capture new growth. Key takeaways are as follows:

1. Industry and consumer trends: Embodied intelligence and physical AI represent the next trillion-dollar smart hardware market, with enormous room for growth that has drawn excitement from both capital and markets. Brands that fail to position themselves early risk being sidelined in future industry competition. The auto sector’s competition has shifted from a race of mobility tools to a battle for the entire physical AI ecosystem—earlier布局 builds stronger ecosystem barriers faster.

2. Brand growth logic: In an era of cutthroat存量 competition, opening a new sector helps brands access new financing and gain brand premiums, while cutting transformation costs by leveraging existing technical and supply chain resources. Humanoid robots can serve as a brand’s second growth curve, and even deliver cost reductions and efficiency improvements to the brand’s core auto business.

3. Pathways for布局: Two main approaches have emerged so far: developing full in-house capabilities and spinning out an independent business, or entering via investment and partnership. Players can also pursue both strategies simultaneously. The core priority is competing for话语权 over the underlying interaction rules of physical AI.

This article summarizes the current state of the humanoid robot sector, outlines opportunities, risks, and actionable strategies for relevant sellers, with key takeaways below:

1. Market opportunities: The humanoid robot sector has enormous growth potential: China’s market size already exceeded 8.5 billion RMB in 2025, and Morgan Stanley projects the global market will reach $5 trillion by 2050. The sector is currently on the cusp of mass production, and backing from automakers lowers entry barriers. Early use cases in automakers’ own factories, including material handling and inspection, also help ease early-stage commercialization pressure.

2. Risk warnings: The sector requires massive upfront investment and has very long payback cycles, and three core challenges remain unsolved: AI brain development is far more difficult than expected, core components cannot leverage existing auto production capacity, and commercial use cases remain narrow. The industry’s window of opportunity is closing rapidly, and uncertainty remains high, so new entrants should proceed with caution.

3. Recommended布局 strategies: Players with existing technical and production advantages can enter via independent in-house development. For resource-constrained players, partnering with leading automakers and participating as an invested supplier is a viable path, as it spreads early-stage risk and allows players to capture a share of the sector’s growth.

The mass entry of automakers into the humanoid robot sector brings new business opportunities and transformation insights for all types of manufacturing factories. Key takeaways are as follows:

1. New product R&D and production demand: While the humanoid robot supply chain overlaps heavily with automotive supply chains, core components that enable fine motor control—including motors, actuators, and sensors—cannot be adapted from existing auto parts, and require redesign from first physical principles. This creates new R&D and order demand for component manufacturing factories.

2. Business opportunities: Automakers will first deploy humanoid robots in their own factories to replace human workers for tasks such as material handling, labeling, and inspection. This creates new scenarios for the intelligent transformation of all types of manufacturing factories, and opens long-term, stable growth for supporting component factories. Securing early partnerships with leading automakers delivers significant first-mover advantages.

3. Insights for digital transformation: Factories can expand into related new sectors by leveraging their existing technology, supply chain, and scenario advantages to unlock new growth poles. They can also reduce early commercialization pressure via a "manufacture for internal use" model to advance transformation step-by-step.

This article summarizes the current state of the humanoid robot sector, and outlines industry trends, client pain points, and opportunities for service providers. Key takeaways are as follows:

1. Industry trends: The humanoid robot sector has transitioned from early technical exploration to a mass production race, and physical AI is the core development direction for the future intelligent industry. Nearly 20 leading automakers have already entered the sector, which has enormous growth potential—Morgan Stanley projects the global market will reach $5 trillion by 2050. A period of rapid demand growth is imminent, which will create substantial cooperation opportunities for service providers.

2. Core client pain points: Automakers currently face three major pain points in布局 humanoid robots: first, humanoid robots must navigate complex, dynamic physical environments, so AI brain development is far more challenging than autonomous driving; second, core components cannot be adapted from existing auto parts and require full redevelopment; third, aside from internal factory use, diversified commercial use cases remain lacking.

3. Opportunities and solution directions: Component service providers can develop core components purpose-built for humanoid robots, partner with leading automakers, and control mass production timelines and costs. AI technology service providers can participate in developing general AI base models to help automakers build core underlying capabilities, and collaborate to map out full ecosystem deployment spanning automotive and home scenarios.

The mass entry of automakers into the humanoid robot sector brings new development directions and operational insights for industry platform players. Key takeaways are as follows:

1. New industry demand for platforms: Automakers布局 humanoid robots need supply chain platforms to source matching core component resources, AI technology platforms to co-develop general base models, and commercial connection platforms to expand B2B and B2C use cases to connect the full ecosystem spanning automotive, home, and robotics.

2. Recommended布局 directions for platforms: Platforms can launch dedicated investment and service zones for the humanoid robot sector, integrating resources from component manufacturers, AI technology service providers, and automakers. Leveraging automakers’ existing technology and production capacity can accelerate mass commercial deployment and create new growth points for platforms.

3. Key points for risk mitigation: The sector is still in an early development stage with unclear commercial prospects and high uncertainty. Platforms should avoid blind expansion, instead curating high-quality core market participants, guiding the industry to explore diversified commercial scenarios collectively, helping market players reduce early-stage risk, and supporting healthy industry development.

This article summarizes new developments in the automotive industry amid the era of存量 competition, and sorts out new directions, open questions, and emerging business models worthy of academic and industry research. Key takeaways are as follows:

1. New industry trends: In 2026, leading global automakers have entered the humanoid robot sector en masse, pushing the industry from technical exploration to a mass production race. The core logic for this shift is that automakers can leverage their advantages in smart vehicle technology, supply chains, and deployment scenarios to position themselves in the new physical AI sector, build a full ecosystem spanning automotive, home and robotics, and unlock a second growth curve. Two main布局 models have emerged so far: full in-house development, and entry via investment and partnership, and leading automakers have already begun competing for话语权 over the underlying interaction rules of physical AI.

2. Unsolved core industry problems: The sector currently faces three core challenges: developing humanoid robots’ AI brain is far more challenging than developing autonomous driving systems; core components cannot leverage existing automotive supply chains and require full redevelopment; and commercial use cases remain narrow and underexplored. Combined with the sector’s large upfront investment requirements, long payback cycles, and narrowing window of opportunity, overall uncertainty remains very high.

3. New business models worthy of research: The "boundary expansion" model that allows automakers to cross into new sectors leveraging existing assets, the "internal use" model that reduces early commercialization pressure in the initial stage, and the technical approach of powering multiple intelligent terminals via a unified base model all offer high research value.