技术撰稿人
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计算自动化风险
迫在眉睫的风险（81-100%）：这个等级的职业在不久的将来有极高的可能被自动化。这些工作主要包括重复性高、可预测的任务，几乎不需要人类的判断。
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94%的机会会被自动化。
你认为自动化的风险是什么？
技术撰稿人在未来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"Technical Writers"的工作空缺数量将在2033内增长4.0%
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，'Technical Writers'的年度中位数工资为$80,050，或每小时$38。
'Technical Writers'的薪资比全国中位工资高66.6%，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47,970人被雇佣为'Technical Writers'。
这代表了全国就业劳动力的大约< 0.001%
换句话说，大约每3 千人中就有1人被雇佣为“Technical Writers”。
工作描述
编写技术资料，如设备手册，附录，或操作和维护说明。可能会协助进行版面设计工作。
SOC Code: 27-3042.00
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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The main challenge for an AI is not the technical writing. It is actually making sense of the source material. This will be the main job of technical writers: Explaining to the AI what it needs to write. Technical writers will increasingly be busy with post-editing AI written texts, which will be a very mind numbing task. It will also require fewer people and warrant lower pay.
If you want to know the future of technical writing, look at what has happened to technical translation. If you are a technical writer, you are headed the same way. You will operate AI tools and check the results for lousy pay because you are not actually doing the brain work. Get into nursing or open a funeral home. People will always get sick and die, that's a future-proof occupation.
Curating and organizing the information to feed to the AI, and checking their output for accuracy, may be one of the few jobs left to tech writers.
As technical writers we understand complex systems (as well as the engineer's gibberish that often comes with it) and are able to translate this into a form that is easily understood by the respective user groups, i.e. operators or maintenance personnel.
In my opinion AI nowadays can provide draft text to the technical writers. But it takes a human to process that into understandable content, because only a human can know what is necessary for others to profit from precise instructions and related warnings. Also when it comes to jurisdiction.
Who will be held accountable for injury or death caused by automated AI that simply pretends to be human-like but has otherwise no conscience? I mean, an AI can tell you that a stove is hot, but does this mean it really knows the consequences of touching it?
Some learned it the hard way, I doubt an AI can.
I don’t see this role being completely automated in 10 years.
More importantly, why would anyone pay for a professional to do it?
We are already implementing automated structured reuse on a large scale. People should not underestimate the potential of computational linguistics when combined with machine learning and a knowledge graph-rich future.
Although intelligent content (structured content with human-declared intent) cannot be automated yet, we are already auto-classifying content with additional semantic metadata (taxonomies). AI/ML will continue to assist and eventually replace a significant portion of low-level content development, which will elevate the writer's role to that of an information architect/designer.
Object-oriented content will then become a service called Content-as-a-Service (CaaS), much like an electrical distribution grid.
In TechComm and MarComm, we have been evolving towards this model for many years.
I cannot fathom how AI would somehow be able to do all the things that are required to be done in order to complete a technical writing piece.
AI has already taken over the writing niche . . . people no longer need education to write, software helps them do it. That is all AI could ever do for a writer.
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