As artificial intelligence becomes both more useful and more widespread， workers everywhere are becoming anxious about how a new age of automation might affect their career prospects.

人工智能越来越有益处，并且广泛应用，世界各地的从业者开始担心，自动化的新时代会如何影响自己的职业前景。

A study by Pew Research found that in 10 advanced and emerging economies， most workers expect computers will do much of the work currently done by humans within 50 years. Workers are clearly anxious about the effects on the job market of artificial intelligence and automation.

皮尤研究中心的一项研究发现，在10个发达和新兴经济体国家中，大部分从业者预计，目前很多由人类完成的工作，将在50年内被计算机取代。从业者普遍对人工智能和自动化给就业市场带来的影响感到担忧。

Estimates about how much of the workforce could be automated vary from about 9% to 47%. The consultancy McKinsey estimates up to 800 million workers globally could be displaced by robotic automation by 2030. Some jobs will change dramatically， while others will disappear altogether.

关于多少岗位会被自动化取代，预计的情况各不相同，从9%到47%不等。麦肯锡咨询公司预计，到2030年，全球会有多达8亿的工作岗位被机器人代替。一些岗位会发生重大改变，而另一些职位将会彻底消失。

So if automation makes the job market a little like a game of musical chairs， is there a way to make sure youre still employed when the music stops？ Can education help you robot-proof your career？

如果自动化让就业市场变得像一场抢椅子游戏，有没有办法能够确保音乐停止时，你的工作还在？教育能否防止自己被机器人取代？

Future-proofing your career is less about picking a safe job and more about constantly updating your skills throughout your career， according to Northeastern University president Joseph Aoun， who wrote Robot-Proof： Higher Education in the Age of Artificial Intelligence.

美国的东北大学校长、《防范机器人：人工智能时代的高等教育》的作者约瑟夫·奥恩介绍：要防止工作被机器人取代，就要在职业中不断更新自己的技能，而不是选择一份安稳的工作。

He says education needs to change dramatically if workers are to adapt to this new environment. His solution， which he calls humanics， has three basic pillars：

他说，从业者们要适应这种新环境，教育需要大改革。他给出了人类主导学说的解决方案，有三个基本方面——

Technical ability： understanding how machines function and how to interact with them. As both artificial intelligence and robotics become ever more capable， machines will step into roles once monopolized by humans. Some employees wont last， but others will find themselves working with machines， and probably being vastly more productive as a result. Workers with a grounding in coding and engineering principles will be better placed to thrive in this new kind of workplace.

提高技術能力：了解机器的运转原理，知道如何与机器互动。随着人工智能和机器人变得愈发强大，机器将进入人类所有的工作中。一些员工要被机器取代，另一些员工要与机器合作，并且效率会因此大大提升。有编程和工程原理基础技能的从业者更容易在这种新的工作环境中取得成功。

Data discipline： navigating the sea of information thats generated by these machines. Workers will need data literacy to read， analyze and use the almost bottomless troves of information that are increasingly guiding everything from major business decisions to stock picks to purchasing decisions.

掌握數据运用：运用这些机器生成的数据引领工作。……