{"id":235993,"date":"2018-04-15T13:00:29","date_gmt":"2018-04-15T11:00:29","guid":{"rendered":"https:\/\/businesstech.co.za\/news\/?p=235993"},"modified":"2018-04-13T16:12:25","modified_gmt":"2018-04-13T14:12:25","slug":"these-are-the-jobs-most-at-risk-of-automation-study","status":"publish","type":"post","link":"https:\/\/businesstech.co.za\/news\/technology\/235993\/these-are-the-jobs-most-at-risk-of-automation-study\/","title":{"rendered":"These are the jobs most at risk because of automation: study"},"content":{"rendered":"

The\u00a0Organisation for Economic Cooperation and Development (OECD) has released a new study<\/b><\/a> focusing\u00a0on the possible effects of automation on the working world.<\/p>\n

The report was based on jobs data provided by the organisation’s 32-member countries and\u00a0estimates the risk of automation for individual jobs based on a survey of adult skills.<\/p>\n

According to the study, the\u00a0occupational groups that have the highest probability of becoming automated typically do not require specific skills or training.<\/strong><\/p>\n

These include food preparation assistants, assemblers, labourers, refuse workers, cleaners and helpers.<\/p>\n

The next category are workers with at least some training, and what they have in common is that large part of their job content is interacting with machines – mainly in the manufacturing sector – including: machine operators, drivers and mobile plant operators, workers in the processing industry, skilled agricultural workers, metal and machine workers etc.<\/p>\n

At the other end of the spectrum are occupations that require high level of education and training and which involve high degree of social interaction, creativity, problem-solving and caring for others. This end is populated by all sorts of professionals and managers, but also by personal care workers.<\/p>\n

“Overall, despite recurrent arguments that the current wave of automation will adversely affect selected highly skilled occupations, this prediction is not supported, by the framework of engineering bottlenecks,” the report found.<\/p>\n

“Indeed, with the exception of some relatively low-skilled jobs \u2013 notably, personal care workers \u2013 the findings here suggest a rather monotonic decrease in the risk of automation as a function of skill level.”<\/p>\n

Click on image to enlarge.<\/em><\/p>\n

\"\"<\/a><\/p>\n

South Africa at risk?<\/strong><\/p>\n

According to a report<\/a> <\/strong>published by global consultancy Accenture in January,\u00a0re-skilling may ultimately be the deciding factor as to whether the South African economy survives a major wave of automation.<\/p>\n

The report found that 35% of all jobs in South Africa are currently at risk of total automation, meaning machines can perform 75% of the activities that make up these jobs.<\/p>\n

Accenture said that both\u00a0blue and white-collar jobs are at risk in the country.<\/p>\n

\u201cThe jobs of clerks, cashiers, tellers, construction-, mining- and maintenance workers all fall into this category,\u201d it said.<\/p>\n

Hard-to-automate jobs (those with a lower risk of automation) include tasks like\u00a0influencing people, teaching people, programming, real-time discussions, advising people, negotiating and cooperating with co-workers, Accenture said.<\/p>\n

However Accenture\u00a0found that if South Africa can double the pace at which its workforce acquires skills relevant for human-machine collaboration (re-skilling), it can reduce the number of jobs at risk from 20% (3.5 million jobs) in 2025 to just 14% (2.5 million).<\/p>\n

\n

Read:\u00a0These are the jobs that pay the best salaries in South Africa<\/a><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

The\u00a0Organisation for Economic Cooperation and Development (OECD) has released a new study\u00a0focusing on the possible effects of automation on the working world.<\/p>\n","protected":false},"author":10,"featured_media":19132,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9878],"tags":[26,86],"class_list":["post-235993","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-headline","tag-oecd"],"_links":{"self":[{"href":"https:\/\/businesstech.co.za\/news\/wp-json\/wp\/v2\/posts\/235993","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/businesstech.co.za\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/businesstech.co.za\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/businesstech.co.za\/news\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/businesstech.co.za\/news\/wp-json\/wp\/v2\/comments?post=235993"}],"version-history":[{"count":5,"href":"https:\/\/businesstech.co.za\/news\/wp-json\/wp\/v2\/posts\/235993\/revisions"}],"predecessor-version":[{"id":237937,"href":"https:\/\/businesstech.co.za\/news\/wp-json\/wp\/v2\/posts\/235993\/revisions\/237937"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/businesstech.co.za\/news\/wp-json\/wp\/v2\/media\/19132"}],"wp:attachment":[{"href":"https:\/\/businesstech.co.za\/news\/wp-json\/wp\/v2\/media?parent=235993"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/businesstech.co.za\/news\/wp-json\/wp\/v2\/categories?post=235993"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/businesstech.co.za\/news\/wp-json\/wp\/v2\/tags?post=235993"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}