When a humanoid robot, with clumsy yet persistent steps, completed a 21-kilometer half marathon and became a "non-human finisher" in human events, it turned from being the leading role to a director. When the bipedal bionic arm completes the sorting, picking and handling of goods on the front line of the warehouse, it never complains of being tired. When your robot can help you make coffee while taking care of the elderly, this "cloud + terminal" collaboration capability is precisely the core of the layout by major companies. When the camera zooming in, it is the collaborative performance of mechanical precise control and multi-modal perception in the real scene. The camera zoomed in, but a thought-provoking scene was discovered. In the center of the stage, the main characters "creating humans" were not Baidu, Tencent or Alibaba, but a group of startups with unfamiliar names. And those big companies that hold data, models, computing power and funds are behind the scenes, setting the stage, lighting up and acting as directors. This scene is just like the birth of a good play, relying not only on the actors' performances, but also on the precise coordination of the script, props, stage and lighting. According to the comprehensive information from Tianyancha Media, Baidu's path seems like the "set leader" in this drama. Instead of rushing into the main stage to build a robot form, it quietly repaired water and electricity and constructed Bridges backstage. It uses its own large model platform, heterogeneous computing power resources, standard adoption capabilities and data processing pipeline to build a "back-end command center" that can efficiently train, deploy and operate concrete agents.
Behind the "Tian Gong" robot's ability to complete the world's first humanoid marathon lies the support of Baidu's Baige AI heterogeneous platform and the continuous feeding of that million-level embodied data collection and annotation solution. It is not the one crossing the finish line, but a silent engineer setting up water stations, setting up tents and building roadblocks along the way. Tencent's strategy is like that of an "investment-oriented director". On the one hand, it operates its own Robotics laboratory, Robotics X, to research dexterous hand and foot robots. On the other hand, through capital and ecological cooperation, it frequently appears on the list of investors of robot enterprises, jointly building a "cloud + edge + terminal" integrated architecture. Alibaba has not only invested in ontology enterprises such as Zhuji Power and Yuanluo Technology, but also accelerated the opening of the Tongyi Qianwen large model on intelligent agent products, and cooperated with the intelligent agent platform Manus, attempting to open the central nervous system of embodied intelligence to developers in the ecosystem. This series of layouts shows us that a consensus is quietly taking shape. This is not a "race to create people" where everyone is chasing each other, but rather a role reconstruction of industrial organization methods. In this reconfiguration, the giants are willing to give up the halo of creating a best-selling robot and are more inclined to become the "shovel sellers" in the industrial chain. By selling standards, computing power, models, interfaces and training platforms, we have enabled thousands upon thousands of "miners" to take off at the peak of the trend, while we ourselves stand at the bottom of it, building airports and running training camps. When the wind blows, they become the "directors" with the gateway to traffic, the framework of technology and the discourse power of the industry. They don't take the center stage, but they have written the "copyright notice" of the future industry. From "technology is king" to "ecosystem is king", in the development process of AI, every wave of enthusiasm starts with technological breakthroughs. However, what truly determines how far an industry can go and how high it can fly is who can first build a systematic ecosystem. If the AI of the past was like a "warlock" training on an isolated island, focusing on refining single-point capabilities, then embodied intelligence is more like a collaborative project in the Industrial Revolution. It is not merely a race of code and parameters, but a three-dimensional collaboration from data, models, hardware to scenarios. This also determines that a single-point breakthrough is no longer the decisive factor. The player who can form a closed loop of "soft + hard + cloud + field" is the true protagonist of this battle. Nowadays, major companies are all shifting from "builders" to "city masters". Whoever can first build an intelligent city that operates stably, has smooth data and efficient training will hold the ticket to the future.
In this era when AI is embedded in the physical world, humanoid robots must "understand the rules" from the real world, and this requires a large amount of structured, multimodal, and task-oriented data. What Baidu excels at is precisely collecting, cleaning and training these complex data, and then using large models to boil a pot of algorithmic soup for robots to drink and perform actions. In contrast, Alibaba is like a conductor of a band, mobilizing the Tongyi Qianwen large model on one hand and investing in robot body enterprises such as Zhuji Power and Yuanluo Technology on the other, attempting to complete the closed loop of embodied intelligence within the domestic large model system. Ecology is not merely about "breadth", but more importantly, about "stability". A high-quality ecosystem must have the ability to maintain stable operation amid fluctuations in computing power, data mixing, and model upgrades. And this is precisely the true shift from "technology supremacy" to "ecology supremacy", no longer about who runs faster, but who goes further. This is not a war of "creating humans", but a bet on the future. As humanoid robots keep making headlines, dancing on exhibition stands, pouring water and folding clothes, the narrative of the industry seems to have been condensed into a "small goal" : whoever creates humans first will be the king. But this seemingly resounding slogan, when placed on the real battlefield of embodied intelligence, appears overly light. The real competition point has never been "who creates human beings first", but who can truly achieve things with "human beings". This is a marathon of technique and endurance, not a three-minute skit showing off skills. It is a systematic project about how new species can take root in the real world, rather than who first assembles a bionic skeleton and connects a few cables. It's not difficult to "create humans", but the hard part is to make the "human form" live like a productivity tool. Of course, the big companies are well aware that this revolution in embodied intelligence cannot be accomplished by just one or two robots that can dance at press conferences. Every action system, speech recognition module and perception radar of today is still just a junior craftsman in the real physical world and is still far from being a general labor force. To put it more straightforwardly, a humanoid robot that can pour coffee, fold clothes and open doors would lack replicability if each task were to be programmed and tested separately. The lack of replicability means that it is not a tool but more like a sample.
This is not a race about "creating humans", but a ranking race betting on future operating systems. No one entered the market empty-handed, nor did anyone attempt to take all at once. It is no exaggeration to say that embodied intelligence is a second physical operating system no less than that of the Steam Revolution. When people attempt to review this epoch-making leap in the embodied intelligence industry, they might find that those major companies that did not personally "create people" have instead laid the foundation for the entire industry to move towards the future. Not every industrial revolution requires a leader holding a torch high; more often than not, it needs those who build the road in the dark. Tianyancha and media comprehensive information show that Baidu, with its platform as the foundation, has opened up and shared its "intelligence" structure. Tencent opts for cloud-edge collaboration, embedding its "connection" capabilities into the ecosystem. Alibaba is attempting to create a unified "skeleton" for intelligent agents. Huawei has laid out a complete "technology network" from chips to terminals, from factories to algorithms. They did not choose to strive to be the glamorous actors on the stage, but instead built the structural framework of this play brick by brick. The first Industrial Revolution relied on coal and iron, the second on electricity and assembly lines, and the third on semiconductors and the Internet. However, people are now at a critical juncture in integrating cognition and execution. Humanoid robots are visible shells to the naked eye, but their true engines are the data, models, computing power, algorithms, interface standards behind them, as well as the full-stack, cross-industry ecological cooperation chain. This is not a war of "creating humans", but a strategic bet on who will take the helm and set the rules in the future intelligent society. The true thread of this final craze does not lie in who first pieced together the steel skeleton, but in who can quietly stitch together the underlying technology, activate the entire ecosystem, and ultimately make humanoid robots efficient executors in the real world. At present, the spotlight is on humanoid robots that can fold clothes and dance. However, the applause may not belong to their makers, but to the system planners who build the stage, allocate resources and set the rules behind the scenes.
In this evolution of the new industrial logic, the big players did not steal the spotlight but quietly laid the foundation for the future. They are like the unseen "dispatchers" of railway construction, connected to the developer community on one end and standardized terminal devices on the other. They organize productivity with a platform mindset and coordinate resources to weave a new intelligent structure. This generation of major players is no longer obsessed with one-off best-selling products, but rather more like laying the groundwork for the next industrial century. Instead of Shouting that we should change the world, they are tightening the screws of the future direction with computing power, models, data and scenarios. When humanoid robots truly enter daily life, those companies that seem not to have "created humans" today may have long become the "directors" who hold the value code of the embodied intelligence industry.
