自2022年生成式人工智慧（AI）崛起以來，台灣憑藉半導體製造與電子零組件之核心競爭優勢，已成為全球AI供應鏈生態系中不可或缺的關鍵環節。然而，AI產業高度資本密集、技術迭代快速與需求波動顯著等特性，使企業在擴產與研發過程中面臨龐大的資金缺口。本研究聚焦於聯合授信貸款（聯貸）市場，探討台灣AI產應鏈企業之授信條件與籌資行為，是否與一般科技或製造業存在結構性差異。
本研究採用LSEG LPC聯貸資料庫，樣本期間涵蓋生成式AI爆發前後之關鍵時期（2020年1月至2026年3月），篩選出21家台灣AI產業鏈企業與190家同儕企業，共計992筆聯貸資料。實證上以多元迴歸模型，在控制聯貸契約特徵、產業別、年度固定效應及基準利率類別後，檢定AI產業鏈企業對聯貸總利差（借款成本）、聯貸額度（融資規模）及授信期限等三項主要授信條件之影響。
實證結果顯示，台灣AI產業鏈企業在聯貸市場中呈現「低利差、大額度、短天期」之借款輪廓。第一，借款成本方面，AI產業鏈企業之平均總利差低於非AI同業約17.24個基本點（bps），反映金融機構對其成長潛力與高訂單能見度抱持信心，進而降低風險溢酬。第二，融資規模方面，其單次籌組額度平均多出同業約新台幣27.96億元，印證AI產業仰賴外部融資以支應高階製程設備與資本支出（CAPEX）之需求。第三，授信期限方面，AI產業鏈企業之平均借款天期反較一般企業短約9.7個月，顯示銀行傾向縮短授信期限以控管技術迭代之風險。
本研究指出台灣AI產業鏈企業於聯貸市場之風險定價與授信條件，並為金融機構之授信風險管理及企業財務決策提供具體參考。

Since the 2022 generative AI boom, Taiwan has leveraged its semiconductor and electronic component strengths to become an indispensable pillar of the global AI supply chain. However, the industry's capital-intensive nature, rapid technological iteration, and demand volatility create substantial funding gaps for capacity expansion and R&D. This study examines whether the credit conditions and financing behavior of Taiwan's AI supply chain firms in the syndicated loan market differ structurally from their technology or manufacturing peers.
Using the LSEG LPC database (January 2020 to March 2026), we identify 21 Taiwan AI firms and 190 peer companies across 992 syndicated loan tranches. Through a multivariate regression framework controlling for loan characteristics, industry classification, year fixed effects, and benchmark rates, we examine the AI sector's effect on three credit dimensions: all-in spread drawn, tranche amount, and credit tenor.
Empirical results reveal that Taiwan's AI firms consistently exhibit a distinct borrowing profile of lower spreads, larger facilities, and shorter tenors. Specifically, they secure spreads 17.24 bps lower than non-AI peers and raise NTD 2.796 billion more per transaction, yet receive maturities 9.7 months shorter. This reflects lenders' confidence in the sector's growth prospects while managing technological obsolescence risk through tighter tenor constraints.
This study highlights the risk pricing and credit conditions of these firms, providing concrete insights for financial institutions' credit risk management and corporate financial decision-making.

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網路資料
1.https://www.pocket.tw/school/report/perspective/7117/
2.https://www.linebank.com.tw/wealth-investment/topics/1364
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4.https://howlife.cna.com.tw/financial/20250523s009.aspx
5.https://money.udn.com/money/story/5612/9213608