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๐Ÿ‡น๐Ÿ‡ผ Taiwan /Economy & Trade

Focus stock: Shihlin Paper expects AI applications to drive growth, briefly hits limit-up

From Liberty Times · () Chinese

Translated from Chinese and summarized by DistantNews. Read the original for the full story.

At a glance

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  • Taiwan-listed Shihlin Paper expanded its AI materials business into AI rack, GPU and CPU applications, and has begun delivering some products.
  • Its shares briefly reached the daily limit-up price of NT$27.05 before easing to NT$25.60, up 4.07%.
  • AI applications currently account for less than 10% of revenue, but the company expects the share to exceed 10% by year-end and potentially reach 20% to 30%.

Shihlin Paper is moving beyond traditional synthetic-fiber products and into materials for the artificial-intelligence hardware market. The company is targeting AI racks, GPUs and CPUs, with some products already in delivery and talks under way on new material development.

Investor interest pushed the companyโ€™s shares sharply higher in morning trading. The stock briefly touched the limit-up price of NT$27.05 and was trading at NT$25.60, up 4.07%, at 9:36 a.m., with 36,288 lots changing hands.

AI-related applications still make up less than 10% of Shihlin Paperโ€™s revenue, according to the companyโ€™s estimate. It said the proportion could exceed 10% by the end of the year when combined with the business of its subsidiary Shinsor, as production capacity and utilization gradually increase. The company hopes AI-related revenue will eventually account for 20% to 30%.

The traditional synthetic-fiber business is entering its seasonal peak in the second half of the year, and the company expects performance not to be worse than in the first half. It is also developing differentiated products in response to brand customersโ€™ efforts to reduce reliance on China and to ESG-related trends, including a recyclable single-material stretch product being developed with a partner.

About this summary

Originally published by Liberty Times in Chinese. Translated, summarized, and contextualized automatically by DistantNews, with a note on how the source frames the story. Not individually reviewed before publishing. How this works.