Gary Yang: AIFi & Financial Chips — Global Finance After the Openclaw Singularity

Written in London on Feb 24, 2026

Since Openclaw began to erupt in mid-January, aside from the four days at the Consensus conference in Hong Kong, I have almost completely declined all external engagements, including online Spaces and 90% of offline meetings, choosing instead to communicate only with code and Agents in order to face what is so far the largest singularity shift in human history. Likewise, in this article I am trying to save as much time as possible and use the shortest space to briefly outline and discuss the current issues, because after the singularity, the time left for everyone is extremely limited.

tl;dr

1 The Engineering and Historical Significance of Openclaw

2. AIFi and Financial Chips

3. The Disruption of Global Finance and the Collapse of Social Governance

4. Consensus Panic Caused by Multi-Layer Information Asymmetry

5. The Sequence of Singularities after the Singularity

6. Fundamental Changes in the Foundations of Global Geopolitics

1 The Engineering and Historical Significance of Openclaw

The Engineering Significance of Openclaw

The essence of Openclaw is not a set of intelligent algorithms, but rather a framework that integrates intelligent tools around memory files. I have seen many explanations online, but most of them are not precise enough. Here, I summarize it into seven layers:

Layer 1 – Infrastructure Layer (Infra): the foundational layer of the entire architecture, including hardware devices and cloud services.

Layer 2 – System Layer (OS): the operating systems, such as Linux, iOS, Windows, and others.

Layer 3 – Environment Layer (DevOps): the CI/CD layer built on top of the system layer, such as GitHub, where deployments are highly environment-specific.

Layer 4 – Skills Layer (Skills): the organ layer — the brain and limbs of AI — encompassing abilities such as listening, speaking, reading, writing, and various functional capabilities. Large language models are loaded at this layer.

Layer 5 – Memory Layer (md): the core value of Openclaw and the fundamental distinction between it and traditional LLM tools.

Layer 6 – Function Layer (Jobs): the Agent layer — the key transition point from AI tools to one-person company management lies in how responsibilities are assigned to Agents.

Layer 7 – Task Layer (Apps): the daily task logic and queued workflows of Agents/Bots across different functions.

As the Openclaw team officially states, Markdown memory files represent the core value. By abstracting and structuring memory at this layer, AI Agents gain long-horizon operational capability. Remarkably, just a few kilobytes of memory data are enough, at this historical moment, to drive a singularity-level transformation.

The Historical Significance of Openclaw

From a mid-level perspective, Openclaw will catalyze an exponential explosion in AI-driven productivity and transform virtually every industry worldwide. It will no longer be limited to relatively rule-based tasks such as translation, legal work, design, or coding. Even complex, non-standardized fields like auditing, finance, engineering management, and business operations will be rapidly replaced and upgraded. In parallel, as robotics advances at high speed, its integration with microcontrollers will seamlessly take over the vast majority of physical labor.

From a macro perspective, the singularity triggered by Openclaw will mark the transition point from a civilization centered on human labor to one dominated by silicon-based labor. In a timeframe far shorter than we imagine, humanity’s role in the natural social order will be fundamentally reshaped, and the very foundations of civilization will enter an entirely new stage.

Returning to the reality of 26Q1, the small 12-bot working cluster we built on Linux has already achieved broad, cross-industry collaborative capability. Put simply, Agents are divided into three categories: one managing coordination and code, one handling information and reasoning, and one running operations and capital.

Over more than a month of continuous operation, like many others, I have found myself oscillating between excitement and fear — because in no time, every existing business model will be upgraded and disrupted.

2 AIFi and Financial Chips

Two weeks ago at the Hong Kong conference, I ran into Mr. Shen, who mentioned the article I wrote three years ago, Financial Circuit and Web3 Tokenomics Theory. This time, I said excitedly that what I originally thought would take 30 years to realize now seems achievable this year with the acceleration provided by Openclaw.

The principle of financial circuits refers to the rapid iteration of digital financial derivatives brought about by Web3 and Crypto. Just as electronic components such as resistors and capacitors evolved rapidly in the 20th century, financial instruments will no longer remain at the surface level of single functions. Instead, they will quickly evolve into complex system combinations, forming integrated products similar to circuit boards or even chips, thereby achieving financial effects that single-function instruments cannot provide. Financial chips represent the ultimate result of this process.

When AI-driven algorithmic components can instantly make effective, flexible, and self-evolving decision combinations based on massive datasets, we can package them through Crypto smart contracts on DeFi into virtual digital chips analogous to FPGAs or microcontrollers. These become super financial digital decision entities. Once formed, such digital decision entities—financial chips—will no longer rely on human intervention for decision-making. They will achieve a positive balance between key/gas costs and asset profitability, becoming financial products with independent intelligent productive value.

Compared with terms like Web4.0 or DeFi3.0, I believe AIFi is a more precise description. Today, as AI rapidly drives Agents to develop independent working capabilities, our understanding of financial products and the financial industry should undergo a fundamental qualitative transformation. The conventional mindset of Wall Street and traditional finance will be completely overturned. Single-algorithm quantitative strategies will become obsolete. The competitive advantage of financial assets will no longer lie merely in processing massive datasets and parameter changes, but in the evolutionary capacity to continuously innovate algorithms and dynamically adjust strategies at high speed. Only super-intelligent financial assets encapsulated by AI Agents and Crypto smart contracts—AIFi—can adapt to the financial environment of the next era.

3 The Disruption of Global Finance and the Collapse of Social Governance

At the end of last year, in my article “DeFi 2.0 Rising from the Inevitable Chaos of 2026,” I mentioned “The Exhaustion of TradFi’s Inertial Aesthetic and the Systemic Failure Under Data-Driven Heavy Regulation.” Simply put, even along the single axis of Crypto upgrading digital production relations, the existing environment has already been profoundly challenged.

Following Nasdaq, the parent company of the New York Stock Exchange, Intercontinental Exchange (ICE), issued a press release on January 19, 2026, confirming that the NYSE is developing a tokenized securities platform supporting 24×7 trading and plans to seek SEC approval to launch the service. It can be said that New York’s responsiveness and practical execution in the face of last year’s Crypto-driven digital shock remain worthy of respect, far ahead of the hesitant and wavering attitudes seen elsewhere globally. Even so, policy frameworks and the entrenched cognitive inertia of the majority still struggle to truly adapt to this transformation.

What is more unsettling is that the upgrade in AI-driven digital productivity has amplified by another order of magnitude the structural tension that Crypto’s digital production relations already impose on traditional finance and society. If “exhaustion” and “dysfunction” described the situation at the end of last year, this year represents outright disruption and disintegration. Unlike any transformation in history, the exponential force created by AI + Crypto leaves no room for regression into old doctrines or gradual hesitation — go fast or go home.

4 Consensus Panic Caused by Multi-Layer Information Asymmetry

Very interesting yet also quite sad is that, in such an environment, everyone is constantly switching back and forth between FOMO and FUD, while the reasons are completely different. The vast majority of people search for a confidence anchor within the specific narrative segment they focus on, while at the same time clearly knowing that under such an AI + Crypto tsunami, it is completely futile.

Just like the Hong Kong Consensus conference in early February 2026, it was a conference with absolutely no consensus: no consensus on bulls or bears, no consensus on compliance, no consensus on credit, no consensus on value. The only consensus was that the AI disruption after Openclaw caused the participants of the Crypto Consensus conference to find a misplaced consensus on AI.

Because intense changes across multiple levels and multiple structures are occurring simultaneously, people in different industries across different countries and regions acquire, understand, digest, and respond to information at completely different speeds. As a result, in 2026 the world will enter a phase of ultra-high-speed development and complete disorder without consensus. Due to the difference between the speed of technological progress and the nature of culture, consensus-less panic has already begun to affect various financial assets and future expectations in 26Q1. Although there are similarities in comparison, the magnitude of chaotic energy has already completely exceeded that of the 1929 Great Depression and its surrounding period.

In addition, the disruptive force and speed of AI + Crypto far exceed those of the era of industrial automation and electrification. Therefore, the position of gold and safe-haven assets is also completely different from that of the 20th century. At present, one must not only think about safe-haven strategies in times of turmoil, but also think about the risk of being slightly left behind and never being able to catch up again. In an environment of exponential disruption, pure risk aversion itself constitutes a significant risk.

5 The Sequence of Singularities after the Singularity

Under an exponential growth curve, what happens once a critical singularity is crossed? Inevitably, one singularity after another arrives in increasingly rapid succession.

After installing my first Openclaw agent on January 20, I asked it a question: if given a robotic surgical system, could you operate it to perform surgery? My agent replied that once all external devices were properly configured, it would need to undergo a period of simulated training to install and refine the surgical drive, after which it would be capable of performing operations.

Beyond the widespread adoption of intelligent robots and mechanical systems, and the AIFi financial chips discussed earlier in this article, there are countless other directions worth exploring, which I will not elaborate on here. As mentioned before, time is limited. What matters most now is understanding the value of time itself, and how efficiently we can respond to change within an extremely compressed window. I cannot say for certain whether, once the timeline of world development effectively turns vertical, we will be able to find a response mechanism or methodology that allows us to ride the exponential curve without being thrown off. But one thing is clear: all established experience before each singularity — and most existing frameworks — will inevitably fail.

6 Fundamental Changes in the Foundations of Global Geopolitics

In several of earlier articles, I have pointed out that global geopolitical tensions will not unfold along the familiar paths of a “clash of civilizations” or the traditional Thucydides Trap as suggested by historical precedent.

If Crypto Finance and stablecoins have disrupted state control mechanisms by introducing a fundamentally different value proposition rooted in a digitized open economy — in some cases even narrowing distances between previously opposing forces — then the AI-driven singularity now acts in the opposite direction. It tears open a new front altogether, catching countries and regions off guard and pushing them back into intense competition amid systems that are increasingly difficult to govern and absorb.

Put differently, the open environment demanded by Crypto Open Finance does not naturally align with the regulatory frameworks many states rely on for governance. Just as suppressive forces were beginning to reach a fragile consensus, the borderless openness required by AI development has rapidly shattered this “plastic consensus,” plunging the world into a high-speed competitive race once again — and at a pace faster than anything in history.

Author: Gary Yang

Date: February 24, 2026

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