AI未來的趨勢聚焦於生成式AI的普及應用、可信任AI的治理、邊緣運算與AIoT的融合、AI在各行業的深入落地以及與XR技術的整合。 這將帶來更智慧的個人化體驗,如AI眼鏡,以及提升生產力和效率的企業解決方案,同時也伴隨著新興職業的誕生與部分勞務型工作被取代的挑戰。
核心技術趨勢
生成式AI (Generative AI): 從文字、圖像生成擴展至音訊和影片,將成為提高生產力、加速內容創作與創新的核心技術。
可信任AI (Trusted AI): 與此同時,建立安全、可信賴的AI治理機制也是全球AI策略的重點,以確保AI應用安全可靠。
邊緣智慧(Edge AI): AI技術將更深入地整合至各種硬體設備,在本地進行數據處理,實現更快的反應和更高的隱私保護。
AIoT (Artificial Intelligence of Things): AI與物聯網的結合,將推動「萬物智能」的時代,帶來更廣泛的應用機會。
應用與產業趨勢
AI眼鏡與XR整合: AI眼鏡將成為重要的個人資訊互動平台,與XR技術深度整合,提供沉浸式、情境感知的體驗,推動AR技術發展。
智慧化與自動化: AI技術將進一步普及於各行各業,例如在零售業提供個人化服務,在交通運輸業改善管理,以及在智慧城市中推動交通與綠能發展。
人才與就業市場變革: AI的發展預期會催生新興職業,同時也可能取代部分傳統的勞務型工作,對就業市場帶來結構性調整。
企業數位轉型: 台灣企業正透過AI技術加速數位轉型,提升產品設計、自動化生產能力,並拓展國際商機。
台灣的發展重點
技術與應用並重: 台灣以半導體技術優勢為基礎,積極發展低功耗高效能AI晶片,同時透過整合「擴算力」、「鏈場域」、「引人才」等策略,推動AI應用落地。
產業生態健全: 政府和產業共同努力,建立完整的AI應用生態系統,串聯需求、產業與人才,提升整體競爭力。
Future AI trends focus on the widespread application of generative AI, the governance of trustworthy AI, the integration of edge computing and AIoT, the in-depth implementation of AI across various industries, and its integration with XR technologies. This will lead to smarter, personalized experiences, such as AI glasses, as well as enterprise solutions that improve productivity and efficiency. This will also present challenges, such as the emergence of new professions and the displacement of some labor-intensive jobs.
Core Technology Trends
Generative AI: Expanding from text and image generation to audio and video, it will become a core technology for improving productivity, accelerating content creation, and innovation.
Trusted AI: Furthermore, establishing secure and trustworthy AI governance mechanisms is a key focus of global AI strategies to ensure the safety and reliability of AI applications.
Edge AI: AI technology will be more deeply integrated into various hardware devices, performing local data processing for faster responses and greater privacy protection.
AIoT (Artificial Intelligence of Things): The combination of AI and the Internet of Things will usher in an era of "intelligent everything," bringing about a wider range of application opportunities.
Application and Industry Trends
AI Glasses and XR Integration: AI glasses will become a key platform for personal information interaction, deeply integrated with XR technology to provide immersive, contextually aware experiences and drive the development of AR technology.
Intelligence and Automation: AI technology will become increasingly pervasive across industries, such as providing personalized services in retail, improving management in the transportation industry, and promoting transportation and green energy development in smart cities.
Talent and Job Market Transformation: The development of AI is expected to spawn emerging occupations and may also replace some traditional labor-intensive jobs, bringing about structural adjustments to the job market.
Enterprise Digital Transformation: Taiwanese companies are accelerating digital transformation through AI technology, improving product design and automated production capabilities, and expanding international business opportunities.
Taiwan's Development Priorities
Equal Emphasis on Technology and Application: Leveraging its semiconductor technology advantages, Taiwan is actively developing low-power, high-performance AI chips. At the same time, it is promoting the implementation of AI applications through integrated strategies such as expanding computing power, connecting the industry, and attracting talent.
Sound industrial ecosystem: The government and industry work together to establish a complete AI application ecosystem, connecting demand, industry and talent to enhance overall competitiveness.
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