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    题名: 內容創作者會不會被生成式人工智慧取代?
    Will Generative AIs replace content creator jobs?
    作者: 張曼娜
    Techalertkamol, Mananya
    贡献者: 卞中佩
    Pien, Chung-Pei
    張曼娜
    Mananya Techalertkamol
    关键词: 內部內容創作者
    生成式人工智能的影響
    美國
    職位廣告分析
    職業發展
    In-house content creator
    Impact of Generative AIs
    United States
    Job ads analysis
    career development
    日期: 2023
    上传时间: 2024-01-02 15:32:26 (UTC+8)
    摘要: 本研究 “內容創作者是否被生成式人工智慧取代?” 旨在深入了解當前內部內容創作者就業市場以及生成式人工智慧發展帶來的機會和挑戰。本研究對一千多條內容創作者的招聘廣告進行了文字分析,以提取內容創作者的任務、所需技能和其他就業要求。隨後,本研究根據任務特徵和Gen-AI工具的能力製定了一個評估框架,對Gen-AI的影響進行分類和評估。

    根據每項任務的評估,本研究發現生成式人工智能(Gen-AI)工具能改善內容創作者之任務至少50%以上並將其任務約20%自動化。初階職務的內容創作者最有可能受Gen-AI的影響,因為他們的工作與內容創作有關,而這正是Gen-AI的強項。此外,Gen-AI之應用也十分廣泛。這些工具也可以部分地支援策略規劃、研究與發展、行銷及市場銷售以及工作流程優化等各項工作。因此,身負多種職責的資深內容創作者可能會更頻繁接觸到Gen-AI工具。

    總體而言,由於許多任務仍需要人工介入以確保其能被有效執行,Gen-AI尚無法直接取代內容創作者的職位。然而Gen-AI工具被預測將成為日常工作中不可或缺的一部分,因其有助於提升生產力、減少成本並提高組織競爭力。在面臨快速職務轉變的情況下,內容創作者應該把握此機會,提升與執行策略性任務所需之技能。此外,主動學習並有效地整合Gen-AI工具和其他先進科技,將其應用在工作中,這將有助於內容創作者在科技快速發展的情況下在勞動市場中保有競爭力。
    The project “Will Generative AIs replace content creator jobs?” aims to provide insights into the current in-house content creator job market as well as opportunities and challenges caused by the development of Generative AIs. The project conducted text analysis on over a thousand content creator's job advertisements to extract content creators’ tasks, required skills, and other employment requirements. Subsequently, the project developed a rubric to classify and evaluate impact of Gen-AI, based on task characteristics and Gen-AI tools’ capability.

    From task-based evaluation, the project found that Gen-AI tools can enhance over half and automate about 20% of a content creator’s tasks. Entry-level content creators will be affected by Gen-AI the most as their works are related to content production, which is Gen-AI’s strength. Furthermore, the application of Gen-AI is very diverse. The tools can also partially support strategy planning, research and development, marketing and sales, and workflow optimization. Thus, higher-level content creators, who respond to a broader range of responsibilities, are likely to engage more with Gen-AI tools.

    In summary, Gen-AI cannot directly replace content creator jobs since most tasks still need human intervention to be completed effectively. However, the Gen-AI tool is forecasted to become part of daily work because it can increase productivity, reduce costs, and improve organizational competitiveness. Given the context of rapid work role transformation, content creators should take this opportunity to advance the required skills for strategic tasks. In addition, proactively learning and effectively integrating Gen-AI tools and other advanced technologies into work will help content creators stay competitive in the labor market in the rapidly evolving technology context.
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