电影和视频编辑器
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计算自动化风险
高风险（61-80%）：这个类别的工作面临着来自自动化的重大威胁，因为他们的许多任务可以使用当前或近期的技术轻松自动化。
有关这个分数是什么以及如何计算的更多信息可在这里找到。
用户投票
我们的访客投票表示，他们不确定这个职业是否会被自动化。 然而，我们生成的自动化风险等级表明自动化的可能性要高得多：有72%的机会会被自动化。
你认为自动化的风险是什么？
电影和视频编辑器在未来20年内被机器人或人工智能取代的可能性有多大？
情感
以下图表在有大量投票数据时会显示。这些可视化图表展示了用户投票结果随时间的变化，提供了情感趋势的重要指示。
随着时间（每年）的情绪变化
增长
预计"Film and Video Editors"的工作空缺数量将在2033内增长4.7%
总就业人数和预计的职位空缺
更新的预测将在09-2024到期.
工资
在2023，'Film and Video Editors'的年度中位数工资为$66,600，或每小时$32。
'Film and Video Editors'的薪资比全国中位工资高38.6%，全国中位工资为$48,060。
随着时间推移的工资
体积
截至2023，在美国有29,240人被雇佣为'Film and Video Editors'。
这代表了全国就业劳动力的大约< 0.001%
换句话说，大约每5 千人中就有1人被雇佣为“Film and Video Editors”。
工作描述
在电影、视频或其他媒体上编辑移动图像。可能会与制片人或导演一起组织图像以进行最终制作。可能会编辑或同步音轨与图像。
SOC Code: 27-4032.00
资源
如果您正在考虑开始新的职业生涯，或者想要换工作，我们已经为您创建了一个方便的工作搜索工具，它可能会帮助您找到那个完美的新角色。
评论
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Think of Film Editing or a Documentary. So many elements like different shots, camera angles, sfx, music, etc. need to be arranged creatively to tell a story in the best possible way. A lot of decision making is involved in every step.
This is purely art form and something which AI cannot replace...yet. Human brain is far more powerful for this type of task.
Repetitive tasks, yes...they can be automated with AI and it will help editors to reach their goal faster.
Watson made a Horror trailer a decade ago, and we haven't seen another AI cut trailer since then or seen any AI even attempt to make anything longer or more complex than a trailer.
Hey maybe by the time I retire we'll finally see a big, AAA studio AI edited movie, but that would be the entire marketing point and when the movie flops because it's just poorly put together (or hell just not a good movie) the suits will shift all the blame to AI technology, which they'll drop faster than 2D animation and relegate it to the 2060 equivalent of Direct to DvD movies.
We also know which clip fits better in a certain place, and which music and sound effect to use in the video.
AI has no emotions or feelings, so there's a very small chance, I think.
This will be challenging for a while, but eventually, the machine learning will have enough data to be able to reliably do this quickly. It will not replace anyone in Hollywood, except perhaps for certain classes of visual effects artists. However, it will replace over half of the video marketing industry.
As Google releases business-class versions of its Google Assistant that can have a conversation with a small business owner, find out what they want, and generate images and video creative for that business owner to serve in purchased digital advertisements. This will be an included service in order to sell more advertising to people who would have never had the funds to both purchase advertising and hire expensive marketing teams to create digital ads and videos.
Furthermore, the AI will be better at placing these ad buys than any human ever could. Already, we are almost there. And thus, all but the most expensive brands, primarily national brands, will replace their social media person or their small marketing team or even their regional marketing agency with one savvy person whose job it is to talk to an AI and get it to create the ads with the creative assets.
We are five years away from AI being able to create images at 24 frames per second, another two years from those videos being usable, another two years for them to be reliable, and then another one to three years for Google to figure out how to seamlessly integrate these learned machines into their ad platform.
It's not a total, across-the-board AI replacement, but the market for user-generated video will shrink dramatically.
However I do believe AI will take over editing jobs in the digital content space. There’s already services out there doing this. When you need short micro content pieces for social, this is where I see it taking over.
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