Written by: Pengu, GCR
Compiled by: AididiaoJP, Foresight News
Original title: Why is blockchain considered the ultimate answer for the large-scale deployment of humanoid robots ?
introduction
Humanity has always pursued higher efficiency and greater productivity. From the steam engine and electricity to assembly lines, computers, and now artificial intelligence, each technological leap has brought about increased output and social prosperity, continuously reducing the barriers to value creation.
Technological innovation has always been inseparable from people. Steam engines relied on workers to operate them, factories required a large workforce, and even every key component of a computer requires human intervention. These tools amplified human capabilities, but they never truly replaced human labor. While productivity increased, the role of humans remained irreplaceable.
Artificial intelligence has changed everything. For the first time in history, software can build itself. Machines can autonomously write, test, and optimize code, meaning that cognitive labor is no longer the core bottleneck restricting growth.
Currently, this shift primarily impacts white-collar work sectors—programming, design, research, and coordination. Digital output is growing rapidly, but physical production has failed to keep pace, while demand for physical goods and services continues to rise, particularly in areas such as housing, food, logistics, manufacturing, and healthcare. The gap between digital productivity and physical output is becoming increasingly significant.
Robots are the key to bridging this gap.
Current Status of Robotics Technology
Robots have long been used in industries such as manufacturing, healthcare, logistics, and aerospace. But today's changes lie not only in their enhanced capabilities, but also in their expansion beyond enclosed spaces and into everyday human environments, including the home.
The emphasis on "humanoid" stems from the fact that our physical world is designed for humans—doors, tools, stairs, warehouses, hospitals, and so on. Rather than modifying infrastructure, it's more efficient to develop robots that can directly integrate into the existing environment. This makes humanoid robots the shortest path from prototype to practical application.
Humanoid robot technology is advancing exponentially, as was particularly evident at CES 2026. The remarkable advancements were not only in the improved demonstrations but also in the faster pace of iteration in motion, manipulation, and autonomy. Progress has moved from linear to exponential growth.
The integration of artificial intelligence has fundamentally altered the trajectory of development. Robots are beginning to learn from their own experience, autonomously optimizing their movements, balance, and task execution without constant human supervision. As deployment scales up, data accumulates, and AI intelligence continues to improve, the feedback loop intensifies. The more robots there are, the faster the technological progress.
At the national level, robotics is also becoming a strategic priority. More and more governments view humanoid robots as core infrastructure related to productivity, resilience, and long-term economic strength. This is no longer just a commercial race, but a contest for geopolitical influence.
According to Counterpoint Research, approximately 16,000 humanoid robots were deployed globally in 2025, with China accounting for over 80%. This highly concentrated distribution reflects China's proactive approach to promoting the practical application of humanoid robots. Adoption has shown clear regional differences and strategic-driven characteristics.
Looking ahead, Morgan Stanley predicts that by 2050, approximately 90% of humanoid robots (about 930 million units) will be used for repetitive, simple, and structurally defined tasks, primarily in the industrial and commercial sectors. China is expected to lead with approximately 302.3 million units, while the United States will have approximately 7.7 million units.
The economic impact is already imminent. McKinsey & Company points out that if companies can restructure their workflows around "humans, AI agents, and robots working together," rather than automating individual tasks in isolation, then up to $2.9 trillion in economic value could be unlocked in the United States alone by 2030.
Robots × Cryptocurrency
Currently, cryptocurrencies are still primarily viewed as financial instruments—trading, speculation, payments, and stores of value are the mainstream narratives. However, the potential of their underlying technology extends far beyond finance.
Blockchain and cryptocurrencies have introduced a completely new layer of coordination between the digital and physical worlds. This layer becomes increasingly important as robots scale. Robots will need to transact, own resources, share data, and operate across borders without relying on traditional financial and legal systems.
Cryptocurrencies are the infrastructure that enables the large-scale operation of robots.
Machine-to-machine payment
Robots operate continuously, transacting far more frequently than humans. Cryptocurrency enables instant micropayments between machines, without bank intervention, invoices, or settlement delays. This will be crucial once robots begin autonomously purchasing services, energy, or tasks.
Robots as main players in the blockchain economy
Robots will not only be task performers but also participants in economic activities. On-chain technology enables robots to directly receive payments, hold assets, and interact with smart contracts, thus transforming them from tools into autonomous economic agents.
Web3 native wallets replace traditional bank accounts
Traditional financial systems are not designed for machines. Web3 wallets allow bots to open accounts instantly and globally without permission, greatly lowering the deployment threshold and enabling bots to operate across borders from day one.
Tokenized ownership of robots and clusters
Robotics is a capital-intensive field, and traditional financing methods are slow. Tokenization supports shared ownership, profit sharing, and liquidity for robotic assets, allowing investors to invest in robots in the same way they would invest in digital infrastructure.
Blockchain-based machine learning data distribution
Robots generate massive amounts of real-world data. Blockchain technology can enable transparent ownership, controllable sharing, and value realization of this data; better data acquisition will lead to more efficient training and more powerful machines.
Decentralization and privacy protection
As robots enter homes, hospitals, and workplaces, they will process vast amounts of sensitive data—health records, behavioral data, physical environment information, and more. This data should not be controlled by a single centralized entity. Decentralized systems reduce the risk of centralization, allowing users to control their data access and usage. Cryptocurrencies support verifiable rules and privacy-preserving collaboration, which are crucial for building trust and driving adoption.
Projects worth paying attention to
The field of robotics has not yet received the attention it deserves. Current public opinion remains focused on the narratives of software and pure AI, while physical automation is quietly accumulating momentum.
The narrative is shifting as humanoid robots, AI, and crypto infrastructure begin to converge. Below are some of the projects we've been focusing on in this emerging field.
PrismaX – Learning Driven by Remote Control
PrismaX positions itself as a service layer for real-world AI robotics technology. It transforms human actions into high-quality training data through remote control, continuously optimizing models and robot capabilities. Users remotely control robots to complete simple pick-and-place tasks, with each interaction becoming data for training the autonomous system. Human input serves as a bridge between current robots and full autonomy, enabling the learning process to shift from laboratory-limited constraints to a scalable, distributed approach.
Core Values
Robots perform exceptionally well in ideal, controlled environments, but to adapt to the real world, they must be exposed to uncertainty, edge cases, and imperfect conditions. A rich and diverse dataset is crucial for robots to operate reliably in unknown environments.
Auki – Mapping for AI
Auki is building a network that can be called an "AI map." At its core is posemesh, a decentralized machine perception network that enables robots, smart glasses, and other devices to securely and privately share spatial data and computing power, allowing machines to form a shared understanding of the physical world.
By creating a "real-world network," Auki makes physical locations browsable, navigable, and searchable for AI systems. Robots and digital devices can coordinate their operations in the same space without centralized control, while a token economy supports the exchange of spatial data and computing resources. The physical world thus becomes "machine-readable."
Core Values
Approximately 70% of the global economy remains tied to physical location and human labor. Enabling AI to understand and access the physical world is crucial for scaling robotics, automation, and real-world applications beyond the digital environment.
GEODNET – Building a Positioning Network for an Autonomous Future
GEODNET is building a real-time dynamic positioning network that provides centimeter-level accuracy. The project, which Grayscale is considering in its portfolio, employs a decentralized model where users earn crypto rewards by operating satellite reference stations, while simultaneously supporting real-world infrastructure. Participants not only gain passive income but also contribute to enabling large-scale, high-precision navigation.
The network supports key applications such as AI robots, drones, autonomous vehicles, augmented reality, and the metaverse, providing these systems with the necessary spatial and temporal infrastructure.
Core Values
Centimeter-level positioning accuracy and nanosecond-level time synchronization are the cornerstones of autonomous systems. As robots operate increasingly independently in the physical world, reliable positioning has become an indispensable infrastructure.
Peaq – The Economic Layer of Robots
Peaq is the economic system and coordination layer for the machine economy. It is a blockchain optimized for machines, robots, and autonomous agents, providing native standards for identity, ownership, time, access control, and payments, enabling devices to participate in economic activities without human intermediaries.
On Peaq, users can own bots that can work, generate income, and automatically distribute profits. Bots thus become productive assets rather than fixed costs, with coordination handled automatically at the protocol layer.
Core Values
Scaling up robots requires a native economic layer. Peaq provides the infrastructure that enables ownership, incentives, and coordination for autonomous machines operating in the real world.
IoTeX – On-Chain Identity Layer
IoTeX is dedicated to building blockchain infrastructure that connects AI systems with the physical world. As AI moves beyond purely digital environments, its effectiveness increasingly relies on real-time, reliable real-world data. IoTeX addresses this issue through "Realms"—aggregating real-time data from machines, sensors, and people to generate intelligent knowledge bases applicable to fields such as mobility, health, energy, and robotics.
Another core element is ioID, an on-chain identity layer for machines and AI agents. Each ioID is paired with a globally unique identifier and an on-chain wallet, supporting discoverability, economic autonomy, and trusted interaction between machines, agents, and AI systems, enabling machines to become verifiable participants in the physical AI economy.
Core Values
Humanoid robots face complex tasks requiring mobility, perception, adaptability, and continuous learning. "Domains" provide continuously updated real-world data and domain intelligence, enabling robots and AI systems to operate reliably outside of controlled environments. Combined with ioID, robots can become identifiable, trustworthy, and economically dynamic leading players in the physical AI economy.
in conclusion
Despite challenges in areas such as robot learning, mobility, environmental adaptability, cost, and legal framework, one trend is clear: robots will become an indispensable part of daily life. Homes, workplaces, logistics, healthcare, and cities will increasingly rely on autonomous machines.
For robots to operate on a large scale, intelligence and hardware alone are far from sufficient. They also need mechanisms for identity, payment, coordination, and trust that transcend boundaries and institutional recognition. This is precisely the key to how cryptocurrencies have transformed from "optional" to "essential."
Robotics operates in the physical world, while cryptocurrencies coordinate in the economic world. Their convergence is shaping a new, autonomous ecosystem.
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