Recent rumors that artificial intelligence giant Anthropic is acquiring the embodied robotics startup Physical Intelligence have spread rapidly across the industry.
Although the CEO of Physical Intelligence denied the acquisition rumors, media reports confirm that Anthropic and Physical Intelligence did hold relevant negotiations this spring.
This rumor has attracted widespread attention primarily due to the significant influence of both companies in the field of artificial intelligence. Physical Intelligence has secured over $1 billion in cumulative funding, and its π series models rank among the most prominent embodied large-scale models currently available.
On the other hand, 2026 is set to be a pivotal year for AI mergers and acquisitions. Leading model companies such as Anthropic and OpenAI are actively acquiring development tools, enterprise services, and product testing firms to strengthen their technological stacks and commercialization ecosystems, while also expanding into hardware solutions.
As competition extends further into the physical world, robots naturally become the next critical component in this landscape. In the first half of 2026 alone, over 13 landmark transactions were recorded globally in the fields of embodied intelligence and robotics; if the timeframe is extended to 2025, this number had risen to more than 20.
Some A&M Cases Involving Embodied Intelligence and Robotics in the Past Two Years
Based on publicly available online information, please make a correction in case of any inaccuracies
The case studies reveal that in 2025, transaction priorities focused on mergers among robotics companies and Chinese robotics firms acquiring control of listed companies; by the first half of 2026, these targets had expanded significantly to include tech giants, autonomous driving companies, embodied large-scale AI model developers, and public capital markets.
This indicates that embodied intelligence is transitioning from a financing-driven entrepreneurial race to a more profound phase of industrial restructuring.
Three types of M&A approaches are emerging
Based on existing cases, mergers and acquisitions in the field of embodied intelligence can be broadly categorized into three types.
The first category involves embodied intelligence and robotics companies acquiring technical teams or industrial assets.
In 2026, Skild AI, a leading embodied large-scale model unicorn, acquired Zebra’s robotics automation business. Through this deal, Skild AI gained access to mobile robotics products, warehouse automation systems, customer networks, and real-world scenario data, filling critical gaps between model development and robotic deployment.
In June 2026, Dexmal completed a strategic merger with logistics robotics company Atomix through an equity acquisition. Dexmal had previously focused on the development of embodied intelligence models and software/hardware technologies, while Atomix had long specialized in logistics robotics and warehouse automation solutions.
The logic behind such transactions is straightforward. While large-scale embodied model companies possess algorithmic and modeling capabilities, deploying these models in the real world requires additional components, including robotic hardware, control systems, scenario-specific data, and delivery infrastructure. Compared to building hardware and commercialization teams from scratch, acquiring mature robotic assets significantly shortens the deployment timeline.
Robot companies are also accelerating integration. In 2025,1X acquired Kind Humanoid, incorporating its team and products in the field of home and medical humanoid robots into its portfolio; Estun plans to acquire the remaining equity stake in Estun Codroid through its wholly-owned subsidiary, thereby obtaining an indirect 100% ownership stake upon completion of the transaction.
Such mergers and acquisitions primarily focus on teams, technological approaches, open-source ecosystems, and product directions, aiming to rapidly build comprehensive software and hardware capabilities.
The second category refers to robotics companies being acquired by major corporations, listed companies, or industrial capital investment firms.
This year, Amazon has integrated humanoid robotics startup Fauna Robotics into its ecosystem, further expanding its presence in robotic hardware and physical artificial intelligence. Earlier, autonomous driving company Mobileye acquired humanoid robotics firm Mentee Robotics for approximately $900 million, leveraging its expertise in perception, decision-making, simulation, and chip technology to extend these capabilities to general-purpose robotics.
In the Chinese market, Hangzhou Kelin Electric’s acquisition of Kepler stands as a prime example of a listed company directly taking control of a humanoid robotics manufacturer. While Kelin’s original focus was on power equipment and smart grids, this acquisition enabled it to rapidly enter the humanoid robotics sector; in return, Kepler gained access to the listed company’s expertise in funding, supply chain management, manufacturing capabilities, and capital operations.
Such transactions demonstrate that embodied intelligence has become a strategic asset fiercely contested by tech giants, industrial conglomerates, and listed companies. For enterprises lacking substantial robotics expertise, acquisitions often prove faster than in-house development initiatives and enable them to acquire complete teams and mature products more readily.
The third category involves robotics companies proactively acquiring control of listed companies or industrial platforms.
Since 2025, multiple cases have emerged in China where robotics companies have acquired listed firms. AGIBOT took control of Swancor, UBTECH acquired dominance over Fenglong, and SEVNCE assumed ownership of Senton, all demonstrating robotics enterprises’ expansion into capital platforms, manufacturing capabilities, and industrial resources.
These transactions are often simplistically perceived as “buying shells,” yet the underlying industrial rationale is far more complex.
For humanoid robots to transition from prototype development to mass production, sustained investment in R&D, supply chain establishment, capacity expansion, and large-scale order acquisition are essential. Listed companies can provide more stable financing platforms while possessing mature financial, governance, manufacturing, and supply chain systems. For rapidly expanding robotics enterprises, acquiring a listed company can shorten the capitalization timeline and create greater flexibility for future industrial integration.
Meanwhile, independent listing remains a preferred option for certain leading companies. In 2026, Agility Robotics announced its merger with special purpose acquisition vehicle Churchill Capital XI, entering the capital market with a pre-transaction valuation of approximately $2.5 billion. Robotics firms boasting strong product capabilities, solid customer bases, and growth potential still have opportunities to list independently on public markets.
Why are mergers and acquisitions gaining momentum at this time?
In fact, the surge in mergers and acquisitions within the embodied intelligence sector is no coincidence. As the industry enters its industrialization phase, the competitive dynamics are shifting: the focus has moved from “who can develop more advanced robots” to “who can establish comprehensive industrial capabilities more rapidly.”
The rise in embodied intelligence mergers and acquisitions is primarily attributable to the inherent complexity of the industry’s systems.
Robotics is a highly integrated systems engineering discipline encompassing the ontology, joints, dexterous hands, sensors, control systems, embodied models, data acquisition, simulation training, and scenario deployment. Any significant deficiency in any of these components may adversely affect overall system performance and commercial delivery.
In the past, companies primarily relied on in-house R&D and financing to enhance their capabilities. However, as industry competition intensifies, relying solely on internal R&D has become increasingly time-consuming. Acquiring teams, technologies, and products through mergers and acquisitions has emerged as a key strategy for companies to shorten R&D cycles and rapidly strengthen their competencies.
Secondly, robotics companies are transitioning from technical validation to large-scale deployment.
During the prototype phase, companies prioritize athletic performance, operational efficiency, and model quality. Upon entering the mass production and commercialization stage, the importance of supply chain management, manufacturing capabilities, distribution channels, after-sales service, and financial capacity rapidly increases.
This is also a key reason why robotics companies are competing for access to listed companies and mature industrial assets. While technological leadership can facilitate financing, large-scale deployment requires a more comprehensive industrial ecosystem.
Third, the valuation of the embodied intelligence industry is now aligning more closely with its actual capabilities.
Over the past few years, numerous startups have rapidly completed multiple rounds of financing driven by capital, with some companies seeing their valuations surge to RMB hundreds of billions or even higher. However, high valuations do not directly translate into tangible products, orders, or revenue.
As the market enters the validation phase, the differentiation among companies will further intensify. Those with core technologies but lacking mass production and market capabilities may be acquired by industry platforms; firms possessing manufacturing expertise, distribution channels, and application scenarios could become targets for robotics companies’ mergers and acquisitions; while enterprises lacking competitive differentiation and sustainable funding capabilities are likely to gradually exit the market.
Following the financing competition, industry restructuring ensued
Based on current market trends, mergers and acquisitions in the embodied intelligence sector have evolved beyond mere consolidations among similar robotics companies.
Large model companies are seeking robotic platforms, robotics firms are enhancing their algorithmic and data capabilities, listed companies aim to acquire embodied intelligence assets, while robotics startups compete for manufacturing platforms, supply chains, and access to capital. Adjacent industries such as autonomous driving, warehousing and logistics, and industrial automation are also accelerating their integration of embodied intelligence.
This signifies that the boundaries of the embodied intelligence industry are being redefined.
In the future, leading companies capable of independently completing the entire technological, product, delivery, and commercial cycle will continue to pursue IPOs; firms possessing core technologies and teams but struggling to scale independently may become prime acquisition targets; while traditional enterprises with expertise in application scenarios, manufacturing, and supply chains will also serve as targets for reverse integration by robotics companies.
In the early stages of the industry, valuation and competitive dynamics were primarily shaped by financing; however, as it enters the industrialization phase, mergers and acquisitions will become a key tool for redistributing technology, talent, application scenarios, and capital.
The numerous transactions in the first half of 2026 are likely just the beginning of a wave of mergers and acquisitions in the embodied intelligence sector.
