Trends & Emerging Technology

Taking AI Abroad: Start Where You Can Survive, Not Where You Feel Most at Home—Liu Run, with Robin’s Commentary

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Reprint (tagged #LiuRunBusinessReportInterpretation) plus Robin’s commentary (May 2026)

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English translation of the Chinese post originally published 2026-05-07. Translated 2026-10-31 with AI assistance. Historical figures and claims have not been updated or independently verified. 中文原文

Reading guide

The post reprints a Liu Run article. Chinese companies traditionally refined value for money and supply-chain capabilities at home before taking those advantages abroad. AI is showing a different pattern. Shenzhen-based Plaud AI, for example, entered Europe and the United States first and sold more than one million devices within two years, according to the article; this figure has not been independently verified. AI agents have high computing costs, while Europe and the United States have a mature SaaS subscription culture and customer spending sufficient to cover those costs. Domestic payment habits are less developed. Robin adds that choosing between succeeding locally first and starting in the most promising market tests a founder’s thinking. Either way, build a secure base before expanding rather than spread yourself too thin.

Key points

  • Reprinted view: AI startups need not start at home; start where the business economics can work.
  • Reprinted view: high agent computing costs need support from a mature subscription-payment culture.
  • The company sales figures are as stated in the reprint and have not been independently verified.
  • Robin: establish a secure base before expanding, and avoid spreading yourself too thin.
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Full text — English translation

Entrepreneurship means starting where you are most likely to survive, not where you feel most at home. Taking AI abroad has followed a counterintuitive path. Over the past several decades, Chinese companies generally followed the route of “surviving the pile of casualties at home, then taking an overwhelming advantage abroad.” They battled fiercely in the Chinese market, refining exceptional value for money and supply-chain capabilities, then took that playbook overseas to outmatch competitors. Winning at home was the entry ticket to international expansion. But a different pattern has begun to emerge in AI. Shenzhen-based Plaud AI launched a card-style AI recording device. Rather than rolling out across China first, it entered Europe and the United States directly. Within two years, sales exceeded one million units, making it a recognized leader in the category. Only after proving its business model did it return to China in October 2025 to develop its domestic market. Why did these founders not choose the Chinese domestic market first? The reason is practical. Having an AI agent carry out a complex reasoning task consumes a tremendous amount of computing resources. Europe and the United States have a mature SaaS subscription culture: businesses and individuals are accustomed to paying US$20–50 a month for software services. That spending per customer is sufficient to cover agents’ high computing costs. In China, however, the habit of paying substantial recurring fees for “invisible software services” is not yet fully developed. If a startup insists on launching from scratch domestically, every user question consumes costly computing resources while users are unwilling to pay monthly. The business can easily end up losing more the more it does. When your resources are limited, set aside the attachment to your home market. Refine your product where you can make the business economics work, then return with a validated answer. That may be the more practical path. In short, start where you can survive, not where you feel most at home. #LiuRunBusinessReportInterpretation ---- Robin: “Whether to succeed locally before going abroad or begin in the market with the greatest opportunity tests a founder’s thinking. At home or overseas, establish a secure base before expanding. That gives you firmer footing. Do not spread yourself across too many fronts and end up doing none of the markets well.”

These articles are personal notes, book excerpts, and collected reprints. Figures and events reflect the time of the original publication, are not current information, and do not constitute investment advice.

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