During this period of observing the market, I have become increasingly certain of one thing: what truly makes me stop and ponder repeatedly has never been a sudden spike in a line, nor the kind of dramatic emotions in the group, but rather a few directions that can generate 'structural associations' for me. Many narratives are bustling when they first emerge, like a gust of wind, and when it blows over, everyone feels they have grasped the handle of the era; but after the wind passes, what truly remains is often not the loudest slogans, but those systems that can continuously address real-world issues.
What I have been thinking about repeatedly lately is the kind of path represented by Fabric Foundation and the future pointed to by ROBO.
The reason that attracts me is not complicated. It is not because this name sounds new, nor because putting artificial intelligence and robots together naturally carries a sense of futurism, but because it brings me back to a question rarely discussed seriously by the market: when machines begin to participate in the real world with a higher degree of autonomy, should we design a set of on-chain orders that can be verified, tracked, incentivized, and constrained for these 'non-human executors'?
This question is more imminent and difficult than many people imagine.
In recent years, our understanding of the on-chain world has mostly revolved around 'humans.' Whether it is decentralized finance, digital assets, blockchain games, social media, or content production, the core has not deviated from humans. Humans provide judgment, bear risks, own wallets, initiate transactions, and decide when to enter or exit. Even later, when artificial intelligence was introduced into many discussions, for a considerable period, it seemed more like a cognitive tool, a productivity tool that helps humans accelerate analysis, writing, decision-making, searching, modeling; ultimately, it still serves the will of humans.
But robots are different.
Once robots are combined with on-chain logic, the entire issue will undergo fundamental changes. Because they are not just tools; they are also actors. They do not simply provide advice but can execute actions; they do not remain at the information level but can enter the physical world to complete a series of tasks such as transportation, inspection, delivery, perception, collaboration, maintenance, collection, and response. In other words, for the first time, machines are not just 'aiding humans' but are starting to 'act on behalf of a certain rule system.'
What does this mean?
It means we must finally face a long-ignored proposition seriously: if future production, services, and collaboration are partly completed by machines, then how these machines are organized, incentivized, evaluated, and governed cannot continue to rely on traditional closed, centralized, and black-box methods. Because once machines participate in economic activities at scale, traditional management logic will quickly encounter bottlenecks. Who records what it has completed? Who confirms whether its tasks are real? Who judges whether its behavior complies with the rules? Who owns the value it creates? Who bears the resources it consumes? How are its returns distributed? How is responsibility divided after it makes mistakes? Who balances it when it is maliciously manipulated? Where does cross-system trust come from when it cooperates with other machines?
None of this is something that can be passed over with a single 'the future will solve it.'
It is precisely for this reason that I feel the thinking behind Fabric Foundation is worth a serious look. Because it does not stop at the conceptual level to depict a vague future scenario but focuses on infrastructure and order layers. Many projects prefer to discuss vision first, then community, then heat, and only later touch upon genuinely complex system problems; but if a direction really wants to go far, the most important thing is never to first amplify the volume but to first clarify the underlying logic. Especially when it involves artificial intelligence and robotics, a track that spans the digital and real worlds, any poorly designed link will lead to the entire narrative remaining at the slogan stage.
I personally understand this track as a long chain.
At the forefront is the continually enhancing machine abilities in the real world. Perception capabilities are improving, models are evolving, hardware is iterating, execution precision is increasing, costs are slowly decreasing, and machines are gradually transitioning from being able to 'perform fixed actions in fixed scenarios' to 'being able to handle more complex tasks in semi-open environments.' This is a technological advancement as well as a real-world advancement. It is slow, but it is indeed happening.
The middle layer is the coordinating system. That is, when more and more machines begin to exist within the same economic network, they cannot be isolated devices but must be incorporated into a unified framework that is cooperative, settlement-capable, authorized, and verifiable. Without this layer, robots can only be expensive single-point tools; with this layer, they can become nodes in the network, capable of continuously contributing value, receiving feedback, and adjusting behaviors.
One layer up is narrative and market. This refers to how people understand it, participate in it, price it, and form consensus around it.
The problem is that, most of the time now, the market first experiences the third layer, while the first two layers are the slowest to advance. Thus, we see a very familiar phenomenon: words are new, stories are grand, emotions are quick, valuations lead, discussions are extremely crowded, but the parts truly worth spending time studying are compressed into the patience of a few.
I do not think there is anything strange about this. The market is inherently good at trading imaginations in advance and is also prone to creating huge temperature differences in immature directions. But the more it is in this stage, the more someone needs to pull attention back to the question of 'Is the structure established?' For me, the value of ROBO lies in the fact that it does not merely exist as a buzzword but makes me constantly ponder: when the robotic economy begins to take shape, is the on-chain world ready to accommodate this new type of participant?
Once this question unfolds, it will reveal many aspects worthy of serious discussion.
Let's talk about identity first.
Humans on-chain have addresses, signatures, and behavioral records. Although identity does not always equal real-world identity, at least in the system, it has an abstract carrier that can be recognized and tracked. However, if robots become the active entities in the network, their identity cannot just be a static address. Because robots need not only to 'exist' but also to prove that they indeed correspond to a certain real device, a certain ability boundary, a certain operational state, a certain task permission, and even a certain credible execution history.
In other words, the identity of future robots is not a simple label but should be a dynamically verifiable identity. It may include multiple dimensions such as device-level proof, software version proof, task fulfillment records, collaborative reputation, maintenance status, risk levels, etc. Only in this way can the system know 'who is doing the work' rather than just knowing 'there is an address initiating the action.'
Let's talk about incentives.
This is one of the most interesting aspects for me. The incentive design for human labor is already complex enough, while the incentive design for machine labor will be even more complex. Because humans have emotions, subjective judgments, bargaining power, and irrational reactions; machines do not have these, but they have another kind of complexity: their behavior is determined by code, data, hardware status, energy consumption, and environmental constraints. In other words, you cannot simply apply the human incentive model to machines. You need to consider not just the results but also factors such as task verifiability, execution costs, error penalties, equipment depreciation, maintenance subsidies, service quality feedback, and long-term reliability incentives.
If a robot completes a task quickly but frequently makes low-probability errors, how should the system price it?
If a type of robot performs tasks in high-risk scenarios, should its returns include an additional risk premium?
If multiple robots jointly complete an off-chain task, how should contributions be divided?
If device owners, model providers, scheduling platforms, maintainers, and capital parties are all involved, how should returns be layered and settled?
This is only part of the incentive layer.
What is more difficult is responsibility.
I have always believed that anyone who discusses robots and on-chain systems together cannot avoid the issue of responsibility. Because once machines can execute actions in the real world, they are no longer just 'containers for digital assets' but potential sources of real-world impact. A robot making an error in delivery, failing an inspection, misjudging an environment, or executing inaccurately brings not only anomalies in on-chain data but potentially real-world losses. How should such losses be determined? Should they be borne by the device owner, the model provider, the task publisher, or should part of the risk be borne by the protocol designer? Is it necessary to design risk pools, insurance pools, collateral mechanisms, and responsibility tracing mechanisms?
These questions sound quite 'heavy,' but precisely illustrate that this direction is not a light concept game. It touches upon the governance issues that cannot be avoided when reality and on-chain truly begin to merge.
The significance of Fabric Foundation, in my view, lies precisely here. It brings the underlying problems of integration to the forefront, rather than just discussing superficial excitement. For the robotic economy to become a genuinely established proposition, it must meet several conditions simultaneously: technically executable, systemically verifiable, economically sustainable, governably convergent, and narratively communicable. Missing any one of these is not acceptable.
Many people like to understand 'early stage' as 'simple,' but in fact, it is quite the opposite. The earlier the direction, the more complex it is. Because it does not yet have ready-made templates to copy, mature standards to rely on, or stable consensus to leverage. Everyone is exploring: what is a reasonable structure, what is over-design, what is real demand, what is a pseudo-scenario, what can settle down, and what is just noise. For ordinary participants, the hardest part of this stage is not understanding technical terms but not knowing what framework to use to judge whether it is worth watching long-term.
My own judgment method is actually quite simple.
First, see if it is solving real new problems, rather than just re-packaging old problems.
Second, see if it is willing to face complexity directly, rather than deliberately avoiding the most difficult parts.
Third, see if it has the potential to establish long-term network effects, rather than relying solely on short-term emotions.
Fourth, see if it involves structural changes in the real world, rather than just doing narrative restructuring purely on-chain.
From these perspectives, the directions corresponding to Fabric Foundation and ROBO at least possess the foundation of 'worth continuous observation.'
Because the robotic economy is not a story invented from thin air; there are real driving forces behind it. Globally, the demand for automation is increasing, labor structures are changing, and an aging population is prompting more industries to rethink 'which tasks must be completed by humans and which tasks can be undertaken by machines.' Scenarios such as logistics, manufacturing, warehousing, inspection, medical assistance, agriculture, and urban services are slowly but clearly releasing demand. At the same time, improvements in the capabilities of artificial intelligence models have gradually transformed robots from mechanical executors into the prototypes of intelligent agents that can understand environments, make dynamic decisions, and collaborate autonomously.
The only question is: in what organizational form will this force ultimately enter the economic system?
If it is still a closed platform, centralized commands, and black-box scheduling, then it will become an extension of traditional industrial automation.
If it can be combined with open protocols, verifiable settlements, on-chain incentives, and distributed governance, then it may evolve into a completely new networked robotic economy.
This is also where I am most interested in ROBO. It does not remind me of a single product or a single token but a possible institutional prototype. Just as in earlier discussions about decentralized finance, what truly mattered was never how flashy a particular interface was, but whether 'financial relationships could be rewritten'; today, discussing the robotic economy, what truly matters is not which concept is more eye-catching, but whether 'the relationship of machines as economic participants can be rewritten.'
If this question is answered, the imaginative space that follows will be very large.
For example, will there be a task network composed specifically of robots, where devices from different industries accept orders, fulfill them, settle accounts, and accumulate reputations based on their capabilities?
Will there be an on-chain capital market around robotic productivity, allowing capital allocation to no longer flow only to abstract concepts but to real, producible machine nodes?
Will there be standard protocols for cooperation between machines, allowing devices from different manufacturers, different scenarios, and different capability levels to interoperate under unified economic rules?
Will there be a new data value system that allows the closed loop formed by machine collection, execution, and feedback to become long-term reusable production materials?
Will there be a risk assurance system for machine labor, allowing high-value tasks to be commercialized more stably through mechanisms of collateral, insurance, penalties, and arbitration?
None of this is a fanciful tale, but it is also certainly not something that will be fully realized tomorrow. Precisely because it is both real and long, it requires infrastructure to take the lead. Without infrastructure, all imagination will stop at the demonstration stage; with infrastructure, even if development is slow, it can gradually turn uncertainty into accumulable order.
Ultimately, my interest in this direction is not of the kind that questions 'Will it erupt immediately?' but rather 'Does it have the potential to become an important level in the future?' The difference between the two is significant. The former cares more about short-term pricing, while the latter cares more about long-term structure. The former is easily bound by a day's fluctuations, while the latter is more willing to endure long uncertainties. The former keeps asking when the market will recognize it, while the latter is more concerned with when reality will materialize.
And reality is often slower and harder than the market.
Most of the time, we have become too accustomed to light things in the on-chain world. A concept, a white paper, a narrative switch, a wave of community dissemination is enough to attract a large amount of liquidity instantly. But the robotic economy is precisely not that kind of light direction. It is heavy. It involves hardware, real-world deployment, maintenance, standards, safety, responsibility, and the complex frictions of the real world. It cannot be rapidly replicated at extremely low costs like pure software narratives. Therefore, it naturally causes some people to lose patience, while others feel, 'This is what it really feels like to touch the future.'
I increasingly feel that this 'heaviness' is rather a filtering mechanism.
Because the heavier the object, the more difficult it is to be completely consumed by pure emotion. Emotions will certainly come, amplifying, shrinking, creating excessive optimism and pessimism, but they cannot long-term replace the progress of reality. Ultimately, what decides whether a direction can be established are those details that seem insufficiently lively but are extremely critical: are the standards established, is the validation closed-loop, are the interests of participants aligned, are machine behaviors reliably recorded, and has task execution formed an economically positive cycle.
From this perspective, my attention to Fabric Foundation is not because it gives me an answer that I can immediately conclude, but because it asks the right questions. Asking the right questions is itself very important. Many directions die quickly, not because of poor execution but because they asked the wrong question from the beginning. If you ask 'How to make it hotter?', you usually only get short-term dissemination; if you ask 'How to make machines become sustainable, governable, and incentivized real participants in the on-chain system?', you have the chance to touch upon a longer-term era proposition.
And ROBO here is precisely an entry point to such a proposition.
It reminds me not of a one-way upward imagination but of a possibility of new production relationships. In the past, we always discussed how chains could reconstruct financial relationships, ownership relationships, content relationships; in the future, perhaps we will also discuss how it can reconstruct the relationships between machines and capital, machines and tasks, machines and responsibilities, machines and returns. When that time comes, robots will not just be hardware products but also economic units; not just devices that are bought and used, but network nodes that can be scheduled, priced, assessed, and governed.
This will bring about a profound change: value creation will gradually shift from 'human-led, machine-assisted' to 'humans set the rules, machines execute, systems settle.' If this set of changes can really be implemented, the impact will not just be the valuation of a single track but the connection method between the entire on-chain world and the real economy.
Sometimes I think, perhaps what truly deserves attention is not whether 'robots will become a hotspot,' but rather 'when robots truly become an important force in the real economy, who has prepared the rules layer in advance?' Because hotspots will always rotate, but the rules layer has the opportunity to become the foundational infrastructure of the era. Who is building the rules layer is closer to the real entrance of the future.
Of course, I do not romanticize the idea that this path will be smooth. On the contrary, I believe it will be very tortuous. Technological iteration will have bottlenecks, scene implementation will face resistance, system design will continuously trial and error, and market expectations will heat up and cool down multiple times. Many people will lose interest in the middle, many discussions will be overshadowed by more straightforward narratives, and many stage results may not immediately reflect in prices or enthusiasm.
But this does not diminish its significance.
Because some truly significant changes are not driven by a short-term consistent optimism but are accomplished by a few people continuously paving the way. First comes the road, then the vehicle; first comes the order, then the scale; first comes the infrastructure, then the public narrative. If the order is wrong, it often leads only to bubbles; if the order is correct, even if it is slower, it is more likely to leave something truly substantial.
So if I were to describe my views on Fabric Foundation and ROBO in a way that closely reflects my true feelings, it would probably be not excitement, not blind faith, nor simple observation, but a kind of restrained importance.
What I value is not how many people discuss it today, but whether it has the opportunity to define part of tomorrow's rules.
What I value is not whether it can immediately provide conclusions, but whether the questions it raises will become realities that everyone must confront in the future.
What I value is not how beautiful the narrative itself is, but whether there is truly extendable institutional space behind the narrative.
If in the future machines will increasingly take on tasks in the real world, then on-chain systems will inevitably have to learn to answer one question: how to reliably organize these machines in an open network. Whoever seriously answers this question first will be more qualified to participate in the next stage of value distribution.
And the reason I am willing to continue spending time looking at Fabric Foundation and ROBO is precisely because I feel this is not just a story about imagination; it is more like an experiment about how order is established before prosperity.
Some directions are important not because they are already mature but because once they mature, they will rewrite many old boundaries. Artificial intelligence has already shown us how software can change information and cognition; then next, robots may show us how machines can change execution and production. And when execution and production begin to be reorganized, new economic agreements, new incentive structures, and new governance methods will emerge.
Looking back at that time, many discussions today may just be a prologue.
I am willing to call this prologue a kind of pre-night feeling. Not a noisy pre-night, but a kind that requires patience, understanding, and continuous calibration of expectations. It will not be grounded by a slogan, nor will it fail due to temporary calm. What truly determines its value is whether it can build a sufficiently stable bridge between real progress and on-chain rules.
And a bridge is not usually the most bustling project, but it is often the one that cannot be lacking.
If Fabric Foundation truly aims to build such a bridge, then it deserves serious attention.
If ROBO truly carries this exploration of the order of the robotic economy, then it deserves to be continuously discussed.
It is not because the future will immediately materialize, but because some trends, once they begin to take shape, become difficult to ignore.
To me, the most fascinating aspect of this direction is that it concerns both technology and institutions; it concerns both machine capabilities and value distribution; it concerns both today's experiments and tomorrow's economic forms. It is not a simple future slogan but a series of real problems that need to be gradually answered. Precisely because the issues are significant, the process will not be easy; precisely because the process will not be easy, those who seriously build the underlying layers deserve to be seen.
The market always likes to chase things that are already shining, but many truly significant changes actually start in places where the light does not shine. By the time everyone sees it, the real structure has often quietly grown up.
Perhaps what Fabric Foundation and ROBO are most worth looking forward to is not providing the market with another buzzword, but attempting to define how a new participant should enter the on-chain world. The past on-chain world primarily served humans; the future on-chain world may begin to serve machines that can act autonomously. And the leap from 'serving humans' to 'serving a network composed of both machines and humans' may be greater than many currently realize.
So I prefer to treat it as a long-term proposition that requires repeated contemplation, rather than a short-term label easily summarized in a few sentences.
Because the real question has never been 'Is it hot today?' but rather 'When the future really arrives, who is seriously laying the foundation for it today?'
