HTX Research's latest report interprets OpenClaw: The competition for execution entry and Huobi HTX's AI strategic path

Recently, HTX Research, the research department under Huobi HTX, released the latest research report ++“From the Outbreak of OpenClaw, See How AI Begins to Compete for the Real Entry Point to Work”++, which systematically analyzes the industrial trend of AI evolving from a question-and-answer tool to a manageable execution layer, focusing on the rapidly rising open-source project OpenClaw. It also delves into Huobi HTX's product layout and differentiated competitive strategy in the AI direction.

The core issue of the report is that when AI is no longer just "answering questions" but starts "executing tasks," who will grasp the next stage of the work entry point. To address this question, the research report analyzes five dimensions: product form, market driving forces, evolution of human-machine division of labor, opportunities and risk thresholds in the Chinese market.

The Emergence of AI Execution Layer: From "Better at Chatting" to "Really Getting Things Done"

The reason OpenClaw has attracted widespread market attention lies in its focus not on the quality of answers but on execution capability. It is defined as a personal AI assistant running on users' own devices, capable of receiving tasks through multiple messaging interfaces such as WhatsApp, Telegram, Slack, Feishu, Teams, and completing actions by linking files, browsers, calendars, emails, and terminals. The research report points out that what it competes for is not a new chat interface but the execution entry point of the AI era—people gradually retreat to the position of defining goals and making key judgments, while part of the execution chain begins to be undertaken by digital agents.

Behind this transformation, five trends have matured simultaneously: model capabilities have reached a "usable stage," sufficient to support moderately complex multi-step tasks; the high-frequency nature of messaging interfaces allows AI to be embedded in existing work interfaces without requiring users to migrate; the open-source distribution mechanism enables projects to quickly break through the developer circle; the self-hosted model addresses concerns about data sovereignty; and the real demand from small teams for "doing more with fewer people" provides the most direct traction.

The Special Adaptability of the Chinese Market

The research report particularly emphasizes that the dissemination potential of OpenClaw in the Chinese market cannot be ignored. The real work of many small and medium-sized teams in China occurs between messaging-driven interfaces such as WeChat Work, Feishu, and customer service backends, making it naturally suitable for the penetration of such execution layer tools. Cities like Shenzhen and Wuxi have already launched subsidies, office space, and entrepreneurial support policies around the OpenClaw ecosystem, linking it to the narrative of "one-person companies." High message density scenarios such as content teams, agency operations, investment research monitoring, and customer service diversion are considered the first areas to successfully implement.

Security and Governance: Three Thresholds from Hot Projects to Infrastructure

However, OpenClaw still needs to overcome three thresholds to become infrastructure. The first is the security threshold—recent cases have emerged where malicious installation packages were spread through forged GitHub repositories and search ads; the second is the governance threshold, where enterprises need clear permission auditing, action replay, and manual approval mechanisms; the third is the template threshold, where a general platform lacking industry-level access templates will struggle to cross the gap from "trying it out" to "long-term use."

Huobi HTX's AI Path: From Model Aggregation to Platform-Level Service Entry

As a global cryptocurrency trading platform deeply engaged in the AI field, Huobi HTX's path in AI complements the trend represented by OpenClaw. OpenClaw represents the direction of "AI as an execution layer," while Huobi HTX is advancing the practical implementation of "AI as a platform service entry and ecosystem connector."

The self-developed AINFT product launched within the Huobi HTX system aggregates mainstream large model capabilities, including those from OpenAI, Anthropic, and Google, allowing users to access different models through a single entry without switching between multiple platforms. On the login level, AINFT uses TronLink wallet signatures, eliminating the need to bind a mobile phone number or credit card, aligning with the habits of crypto-native users. On the payment level, it adopts a "pay-as-you-go" mechanism, breaking the monthly subscription logic of traditional AI products, better fitting the characteristics of high-frequency, small-scale, and flexible usage by on-chain users.

This product design reflects that Huobi HTX's understanding of AI has upgraded from "efficiency tool" to "platform capability extension"—in the future, users entering the platform may not only be for trading but also for using AI and intelligent services, which in turn may flow back to trading and platform activities.

In terms of competitive strategy, against the backdrop of mainstream trading platforms launching AI Skills, Huobi HTX has adopted a more focused differentiation approach: HTX AI Skills initially covers spot and contract trading execution, with plans to supplement market analysis, market intelligence, and built-in AI assistants in the app, establishing a closed loop around four key areas: "trading execution, risk assessment, market intelligence, user entry." The research report points out that the core of competitiveness lies not in the number of Skills but in who first connects execution, risk, intelligence, and entry into a complete user experience.

The Track is Still Early, but the Direction is Clear

The evolution of AI from a tool layer to an execution layer is still in a very early stage, with security, governance, and ecological maturity far from being in place. However, the outbreak of OpenClaw has already allowed the market to see more clearly that the next competition in AI may no longer just be a comparison of parameters and answer quality, but will extend to comprehensive aspects of entry control, permission governance, skill ecology, and organizational trust. Huobi HTX's early layout in this direction provides a noteworthy industry example of how cryptocurrency platforms can transform AI from external capabilities into their own operational and growth assets.

About HTX Research

HTX Research is the exclusive research department under ++Huobi HTX++, responsible for in-depth analysis across a wide range of fields including cryptocurrencies, blockchain technology, and emerging market trends, writing comprehensive reports, and providing professional assessments. HTX Research is committed to providing data-driven insights and strategic foresight, playing a key role in shaping industry perspectives and supporting informed decision-making in the digital asset space. With rigorous research methods and cutting-edge data analysis, HTX Research consistently stands at the forefront of innovation, leading the development of industry thought and promoting a deeper understanding of the ever-changing market dynamics. ++Visit us++.

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