本研究深入探討生成式人工智慧 (GenAI) 技術對台灣高科技產業的深遠影響，並分析台灣在全球GenAI生態系中的角色與策略定位。隨著GenAI技術的迅猛發展，台灣的高科技產業，尤其是在半導體、電子製造及AI硬體設計領域，正處於技術與市場的轉型期。生成式人工智慧在推動全球產業創新的同時，也引領台灣企業在高效能運算、AI晶片及先進製程領域的持續競爭優勢。
在半導體產業方面，台灣的企業，特別是台積電，憑藉其在先進製程技術上的卓越表現，成為全球AI晶片需求增長的核心支柱。台積電在3奈米及更先進製程領域的技術突破，進一步加強了其在高效能運算與AI伺服器晶片市場中的主導地位。與此同時，華碩與台達電等企業也積極將GenAI技術應用於產品開發、智慧製造及數位化轉型中，藉此提升自身在全球市場中的競爭力與影響力。
在全球競爭環境日益激烈的背景下，台灣需進一步加強對技術創新的投入，推動跨領域合作與整合，並提升數位基礎設施建設以支援未來GenAI技術的商業化應用。隨著資料隱私與安全問題日益嚴峻，台灣企業須建立健全的資料治理機制，確保技術應用的合規性與透明度，以維護企業的市場信任及競爭優勢。
綜上所述，台灣高科技產業必須把握生成式AI技術的發展脈絡，強化自主創新能力，並透過與國際企業的協同合作，進一步拓展在全球GenAI生態系中的影響力

1. 英文文獻
Adobe. (2025). Adobe Firefly: The next evolution of creative AI is here. Adobe Blog. https://blog.adobe.com/en/publish/2025/04/24/adobe-firefly-next-evolution-creative-ai-is-here
Ali, O., Ally, M., & Dwivedi, Y. (2020a). The state of play of blockchain technology in the financial services sector: A systematic literature review. International Journal of Information Management, 54, 102–199.
Aliaga, V., & Miyagusuku Ríos, V. (2023). Generative Artificial Intelligence Era: a view from the Global South. https://doi.org/10.61249/pi.vi134.98
Appier Inc. (2023). Appier integrates GenAI into its products to optimize key marketing applications for businesses. https://www.appier.com/en/press-media/appier-integrates-genai-into-its-products
ASML. (2024). This film wasn’t filmed: ASML harnesses generative Artificial Intelligence to make its latest brand film. Retrieved May 13, 2025, from https://www.asml.com/en/news/press-releases/2024/asml-brand-film
Bhati, R., Karamouzis, F., Sallam, R., & Clendaniel, S. (2024). AI and generative AI case study snapshots. Gartner, Inc.
Bharti, I., Chauhan, K., & Aggarwal, P. (2024). Generative AI. Advances in Linguistics and Communication Studies, 1–36. https://doi.org/10.4018/979-8-3693-9246-1.ch001
Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., … & Amodei, D. (2020). Language models are few-shot learners. arXiv preprint arXiv:2005.14165.
Chen, M. Y. (2024). Toyota is deploying AI agents to harness the collective wisdom of engineers and innovate faster. Microsoft Source Asia. https://news.microsoft.com/source/asia/features/toyota-is-deploying-ai-agents-to-harness-the-collective-wisdom-of-engineers-and-innovate-faster/
Delta Electronics, Inc. (2024). Delta’s diverse smart green solutions widely acclaimed at Automation Taipei 2024. https://www.deltaww.com/en-US/news/39202
Deutsche Telekom. (2023). Deutsche Telekom uses artificial intelligence for fiber-optic roll-out. Deutsche Telekom AG. https://www.telekom.com/en/media/media-information/archive/dt-uses-artificial-intelligence-for-fiber-optic-roll-out-544552 3
Deutsche Telekom. (2024a). Telekom Security: Tricks and pitfalls of artificial intelligence. Deutsche Telekom AG. https://www.telekom.com/en/media/media-information/archive/telekom-security-tricks-and-pitfalls-of-artificial-intelligence-1082030 4
Deutsche Telekom. (2024b). Deutsche Telekom details development goals for the next three years: AI and global scale as growth drivers. Deutsche Telekom AG. https://m.c114.com.cn/w5366-1280418.html
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., … & Bengio, Y. (2014). Generative adversarial nets. Advances in neural information processing systems, 27.
Gu, F. (2024). The prospect exploration of artificial intelligence technology and its application. https://doi.org/10.62051/sn7t0x23
Ho, J., Jain, A., & Abbeel, P. (2020). Denoising diffusion probabilistic models. arXiv preprint arXiv:2006.11239.
Hsu, Y.-C., & Chang, R. C.-H. (2020). Intelligent Chips and Technologies for AIoT Era. Asian Solid-State Circuits Conference, 1–4. https://doi.org/10.1109/A-SSCC48613.2020.9336122
IMD. (2024). World competitiveness ranking 2024. International Institute for Management Development. https://www.imd.org/wcc/world-competitiveness-ranking/
Kingma, D. P., & Welling, M. (2013). Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114.
Li, X., et al. (2021). Recent advances in multimodal deep learning. arXiv:2105.11087.
Liu, Y., Xu, G., Zhong, L., & Xiao, Y. (2022). Multi-Modal Transport Logic Architecture Analysis Based on Autonomous Transportation System. CICTP 2022. https://doi.org/10.1061/9780784484265.043
Mohammed, M. Y., & Skibniewski, M. J. (2023). The Role of Generative AI in Managing Industry Projects: Transforming Industry 4.0 Into Industry 5.0 Driven Economy. Priloženie k Žurnalu Predprinimatelʹskoe Pravo. https://doi.org/10.2478/law-2023-0006
NVIDIA. (2024). TSMC and Synopsys bring breakthrough NVIDIA computational lithography platform to production [Press release]. NVIDIA Newsroom. https://nvidianews.nvidia.com/news/tsmc-synopsys-nvidia-culitho
Pang, G. (2022). The AI chip race. IEEE Intelligent Systems, 37, 111–112. https://doi.org/10.1109/MIS.2022.3165668
Patil, D. (2025). Multimodal Artificial Intelligence In Industry: Integrating Text, Image, And Audio For Enhanced Applications Across Sectors. https://doi.org/10.2139/ssrn.5057428
Raghuweanshi, P. (2024). Revolutionizing semiconductor design and manufacturing with ai. Journal of Knowledge Learning and Science Technology, 3(3), 272–277. https://doi.org/10.60087/jklst.vol3.n3.p.272-277
Sengar, S. S., Hasan, A. B., Kumar, S., & Carroll, F. (2024). Generative artificial intelligence: A systematic review and applications. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-024-20016-1
Singh, N., Chaudhary, V., Singh, N., Soni, N., & Kapoor, A. (2024). Transforming Business with Generative AI: Research, Innovation, Market Deployment and Future Shifts in Business Models. https://doi.org/10.48550/arxiv.2411.14437
Tivari, G. D., Khara, S., Dave, J., & Patel, V. (2024). Enhancing Reality: Exploring the Potential of Generative Artificial Intelligence. Indian Scientific Journal Of Research In Engineering And Management, 08(07), 1–13. https://doi.org/10.55041/ijsrem36378
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., … & Polosukhin, I. (2017). Attention is all you need. Advances in neural information processing systems, 30.
Wang, N., Li, S., Li, C., & Wang, L. (2024). Current Status and Emerging Trends of Generative Artificial Intelligence Technology: A Bibliometric Analysis. Journal of Internet Technology, 25(3), 477–485. https://doi.org/10.53106/160792642024052503013
Wen, Z., Zhang, X., Liu, C., & Gong, S. (2024). Innovative Application of Multimodal Large Model in Image-text Fusion Understanding. 373–377. https://doi.org/10.1109/eiecs63941.2024.10800581
World Economic Forum. (2020). The Global Competitiveness Report Special Edition 2020: How Countries are Performing on the Road to Recovery. https://www.weforum.org/reports/the-global-competitiveness-report-2020
2. 中文文獻
王薪棉 (2023)。台灣電子產業鏈概況。台北外匯市場發展基金會委託研究計畫。
行政院科技會報辦公室 (2021)。智慧國家方案（2021－2025年）（核定本）。行政院。https://digi.nstc.gov.tw/File/E8BE929F910C30CA
行政院 (2023)。晶創臺灣方案-奠基臺灣未來10年科技國力。行政院全球資訊網。https://www.ey.gov.tw/Page/5A8A0CB5B41DA11E/6dd41826-ed84-4b92-9f51-e6ebeb8621f8
洪志銘 (2019)。中小企業創新能力觀察。中華經濟研究院。
許萬寶 (2025)。破解生成式AI整合難題：華碩AI Hub的創新解方。ASUSTeK Computer Inc. 官方部落格。https://press.asus.com/tw/blog/overcoming-gen-ai-integration-challenges-with-the-asus-ai-hub-zh/
劉佩真 (2024)。全球半導體產業競逐制高點。產業雜誌，第650期。台灣經濟研究院。