再見，區(qū)塊鏈開發(fā)者。歡迎，人工智能專家。

從雇傭數(shù)量來看，人工智能專家一職成了美國增速最快的工作崗位，至少根據(jù)領(lǐng)英（LinkedIn）于12月10日發(fā)布的年度新興工作崗位報告來看，確實如此。

領(lǐng)英的報告稱，在其職業(yè)網(wǎng)絡(luò)服務(wù)上的人工智能專家崗位雇傭人數(shù)在過去四年里年度增長74%。不過領(lǐng)英并未公布這一數(shù)據(jù)具體意味著多少工作崗位，只是表明這一崗位的需求增速超過其他新興工作崗位。

特別值得一提的是，去年排名第一位的工作崗位區(qū)塊鏈開發(fā)者，今年從清單中消失了?？梢郧宄乜吹?，這些年虛擬貨幣和區(qū)塊鏈的熱度制造了區(qū)塊鏈相關(guān)工作崗位的需求，但隨著區(qū)塊鏈熱度的消失，這種需求也隨之消失。

“曾經(jīng)輝煌，但消失地也快?！鳖I(lǐng)英的首席經(jīng)濟(jì)學(xué)家蓋伊·伯格說。區(qū)塊鏈開發(fā)者居然沒有出現(xiàn)在今年的新興工作崗位清單中，伯格說這表明了公司數(shù)據(jù)的有效性，正確反映出了“失敗的趨勢，或者說什么是曇花一現(xiàn)?！?/p>

今年清單的第二位是“機器人工程師”，這個術(shù)語涵蓋了物理機器人工程師，以及所謂的機器人過程自動化工程師，這個時髦的科技包括了軟件自動化基本功能，例如將數(shù)據(jù)寫入清單。雇傭人數(shù)增長第三快的工作崗位是“數(shù)據(jù)科學(xué)家”。

人工智能專家這個崗位，是從曾經(jīng)獨占清單鰲頭的機器學(xué)習(xí)和數(shù)據(jù)分析崗位演化而來的。伯格認(rèn)為，盡管人工智能專家可能與數(shù)據(jù)科學(xué)家有類似的特點，但數(shù)據(jù)科學(xué)家的工作涉及更廣泛的數(shù)據(jù)工具或數(shù)據(jù)圖像化工具，而非只是機器學(xué)習(xí)軟件。

最需要人工智能專家的都市區(qū)包括舊金山灣區(qū)、紐約、波士頓、西雅圖和洛杉磯。最對口的行業(yè)是計算機軟件、互聯(lián)網(wǎng)、信息科技、高等教育和消費電子。

領(lǐng)英的發(fā)言人說，在獲得人工智能專家這一工作稱號之前，這類人的工作崗位主要是“軟件工程師”、“數(shù)據(jù)科學(xué)家”、“研究助理”和“數(shù)據(jù)工程師”。也就是說，相關(guān)人士可以更新他們的職位類型，加入人工智能這個詞匯，以便在人工智能蓬勃發(fā)展的時代，更好地實現(xiàn)自己的價值。

“談到人工智能，確實需求爆棚?！辈裾f，“但我認(rèn)為，發(fā)展趨勢需要把數(shù)據(jù)科學(xué)提升到下一個層級。”（財富中文網(wǎng)）

譯者：宣峰

Bye bye blockchain developer, hello artificial intelligence specialist.

That role, A.I. specialist, is the fastest growing U.S. job in terms of number of hires, at least according to LinkedIn, which published its annual emerging jobs report on December 10.

Hirings for A.I. specialists on the career networking service have grown 74% annually over the past four years, LinkedIn said. But it didn’t reveal how many jobs that represents, only that demand for that job role is growing faster than other emerging jobs.

What’s noteworthy about this year’s survey is that last year’s top job role, blockchain developer, is absent from the latest list. It highlights how the recent craze over cryptocurrencies and blockchain created a brief demand for blockchain-related jobs, but as the hype died down, so too did demand for people with blockchain skills.

“It was spectacular, but vanished very quickly,” LinkedIn’s principal economist Guy Berger said. The fact that blockchain developers did not make this year’s emerging job list caused Berger to say that it validates his company’s data by showing it accurately reflects “a failed trend or a flash in the pan.”

No. 2 on the list was “robotics engineer,” an umbrella term for both physical robotics and so-called robotic process automation, a trendier technology that involves software automating basic tasks like entering data into a table. The third fastest growing job in terms of hiring was “data scientist.”

A.I. specialist is an evolution of other machine-learning and data-crunching job titles that have topped the list before. Although A.I. specialists may share some traits with data scientists, the work of data scientists involves a wider set of statistical or data visualizations tools versus just machine learning software, Berger said.

The top metropolitan areas where A.I. specialists are in demand include the San Francisco Bay Area, New York, Boston, Seattle, and Los Angeles. Computer software, Internet, information technology, higher education, and consumer electronics are the industries with the biggest appetite.

The most common jobs that A.I. specialists held prior to labeling themselves with the title include “software engineer,” “data scientist,” “research assistant,” and “data engineer,” a LinkedIn spokesperson said. This suggests that people may be updating their job titles to include artificial intelligence, to put themselves in a better position to capitalize on the current A.I. boom.

“When you talk about A.I., again it’s super high in demand,” Berger said. “I think there’s more and more interest in taking data science to the next level.”