The 'Intelligent Trap' in Corporate Finance—A Study Based on New Energy Vehicle Enterprises
企業金融における「知能の罠」—新エネルギー車企業を対象とした研究 (AI 翻訳)
Q. Zeng
🤖 gxceed AI 要約
日本語
この研究は、新エネルギー車企業のAI依存度が財務リスクに与える影響を実証的に分析した。2013～2023年の上場企業データを用いて、AI依存度が財務安全性を低下させることを示し、知識や知的設備の出力、特許変換がリスクを緩和することを明らかにした。AIへの過度な依存は正常な研究開発を阻害し、財務・市場業績を悪化させる可能性があると警告している。
English
This study empirically examines how AI dependence affects financial risk in listed new energy vehicle firms from 2013 to 2023. Results show that high AI dependency reduces financial safety, but strong knowledge output and efficient patent conversion mitigate the risk. The findings warn that excessive AI reliance can crowd out normal R&D and worsen financial and market performance.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では、GX分野におけるAI活用が進む一方、財務健全性への影響は十分に検討されていない。本研究は、新エネルギー車産業におけるAI依存のリスクを指摘し、日本企業がAI投資と財務戦略を連動させる際の示唆を提供する。
In the global GX context
As global EV markets intensify, this paper offers a timely warning about AI dependency in corporate finance. While AI is often seen as a driver of innovation, this study shows it can increase financial risk if not balanced with effective R&D conversion—relevant for global disclosure and risk management frameworks.
👥 読者別の含意
🔬研究者:Provides empirical evidence on the link between AI adoption and financial risk in the EV sector, highlighting the moderating role of knowledge output.
🏢実務担当者:Corporate finance and sustainability teams should assess AI investment against R&D efficiency to avoid financial distress.
🏛政策担当者:Regulators promoting EV adoption may consider guidelines to ensure firms maintain financial health amid AI-driven competition.
📄 Abstract（原文）
AI, as an emerging productive technology, has been widely adopted in production by technology and manufacturing firms engaged in cutting-edge product development. Academic research often incorporates corporate AI capability to examine its contributions to innovation, performance, and sustainable growth. However, in practice, many automotive firms, especially those developing new energy and intelligent vehicles, have suffered financial distress and even exited the market, attracting widespread concern.This study empirically investigates how AI dependence affects corporate financial risk using a sample of listed new energy vehicle and automobile manufacturers from 2013 to 2023. Results of data analysis show that AI dependency reduces financial safety and Moderation and Heterogeneity tests further reveal that strong knowledge or intelligent equipment output and patent transformation effectively mitigate such risks.Findings suggest that: (1) High AI dependency disclosed in financial reports does not improve financial health and may even endanger it; (2) AI can worsen financial and market performance if it crowds out normal R&D; (3) Efficient conversion of R&D into technological barriers is key to avoiding the AI trap. Amid intense competition, new energy vehicle firms should prioritize R&D efficiency, translate innovation into stable returns, and maintain sound financial conditions.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.65455/ynxpph07first seen 2026-05-06 00:36:18
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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。