Aristotle once observed that humans are tool-using animals. Tools made humans human, and continue to push human evolution toward higher forms. Yet every act of tool use is reflexive. As humans reshape the world through tools, those tools quietly reshape humans in return.

As labor division becomes increasingly specialized, tasks fragment into finer units. Time perception sharpens. Individuals move faster, pursuing personal ambitions at an accelerating pace. And then, almost unnoticed, a decades-long AI buildup erupts—like a volcanic shockwave—reorganizing the world.

Unlike previous eras, tools in the AI age are no longer external extensions. They are becoming increasingly human-like. We do not merely use them; we co-exist with them. Where tools once functioned as patches attached to human capability, AI systems are evolving into deeply integrated cognitive structures—mutually embedded, mutually defining. A new epoch has quietly begun, comparable to the primordial moment billions of years ago when volcanic activity enabled the emergence of life.

1. 2026: The Year of AI Applications

At the turn of 2025 to early 2026, one development surprised global markets: Meta acquired the AI agent company Manus for several billion dollars in a deal executed in just over ten days. Manus, a general-purpose AI agent, had been launched less than a year earlier, with annual revenue of only around $100 million. Meta offered no detailed explanation. But the signal was clear: AI applications have reached a new valuation regime.

Soon after, major developments followed. On January 7, 2026, OpenAI launched "ChatGPT Health," developed in collaboration with over 260 licensed physicians. The product immediately triggered global debate. In China, comparable applications such as "Afu" have already become mainstream tools for medical consultation.

Alongside AI healthcare, AI for Science is accelerating rapidly. The Shenzhen Institute of Advanced Technology under the Chinese Academy of Sciences built an "all-AI scientist" system. By integrating a 19-model agent architecture, it compressed materials R&D cycles—such as microcapsule functional materials—from four months to four hours. The founder of Zhipu AI stated in a public speech that 2026 is likely to become a breakout year for AI for Science.

With IPO plans from Zhipu AI and MiniMax, and the anticipated release of DeepSeek 2.0, the expansion of AI applications is no longer theoretical. It is imminent. 2026 is effectively the first year of AI applications.

2. From the Human Era to the Human–Algorithm Era

Historian Yuval Noah Harari, in Nexus: From the Stone Age to AI, sketches a structural vision of the AI age. He argues that finance—already one of the most globally disruptive systems—may undergo the most radical transformation. Modern financial instruments, unlike gold-based monetary systems, are purely informational. Currency, equities, and bonds are now "information entities" embedded in databases. With AI, these entities begin interacting with the world in increasingly complex ways.

On January 21, Ray Dalio, founder of Bridgewater Associates, published a video explaining how he uses AI to improve productivity, emphasizing that once decision rules are formalized, machines process far more information than any individual. The absence of emotion removes behavioral bias. Bridgewater China disclosed its 2025 performance: a 45% return, supporting its expansion to roughly 60 billion yuan in scale.

Domestic quant firms show similar dynamics. Huanfang Quantitative achieved returns exceeding 50% in 2025, processing more than 300TB of market data daily. Brokerages now widely offer AI-driven execution tools, enabling retail investors to participate in micro-trend quantitative strategies. The A-share market has effectively transitioned from a human-driven system to a human–algorithm hybrid structure.

3. From Information Scarcity to Information Parity

The 2023 TV drama Blossoms Shanghai reconstructs a formative market era where information asymmetry defined returns. Whether for institutional players like Bao Zong or everyday participants, news was capital.

For ordinary investors today, AI introduces a structural shift: information parity. The time advantage once held by large capital has compressed to near zero. For the first time in capital market history, retail investors operate in near real-time informational proximity to institutions.

Laozi once wrote: "Superior men hear the Dao and act upon it diligently; average men hear it and half believe it; inferior men laugh at it." For sophisticated investors, AI is no longer optional—it is infrastructure.

Take Huatai Securities' "AI Zhangle" app. It filters actionable financial information from large-scale news flows and provides structured interpretations using brokerage-grade data infrastructure. Modules such as "Early Listening" track macro movements, while the "Limit-Up Hunter" filters stocks based on predefined conditions. During trading hours, human cognitive limits are bypassed through 24/7 parameter-driven surveillance. After market close, AI-generated review tools summarize performance.

At a product launch on January 26, the author tested AI Zhangle 1.0 in real time. A query on sector performance based on 2025 earnings forecasts produced a clear output detailing AI computing infrastructure and pharmaceuticals, linking sector performance drivers with reasoning coherence. The experience created a consistent impression: regardless of investment style, the system behaves like an embedded analyst—part assistant, part decision partner.

Final Thought

AI is quietly reshaping everything. Investors increasingly view AI as the dominant structural opportunity of the coming decades. Yet few recognize the deeper point: investing is ultimately self-investment. In the AI era, only those who build their own AI systems will remain competitive. Owning intelligence is no longer enough. What matters is owning a personal cognitive system.

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