The Jobs That AI Will Take Over First - Industry Today - Leader in Manufacturing & Industry News

Industry’s Media Platform of Choice
Champion Your Brand in Front of Decision Makers and Extend Your Reach Get Featured in the SPOTLIGHT

 

June 17, 2019 The Jobs That AI Will Take Over First

RS Components have analysed which industries are at the biggest risk of an artificial intelligence takeover by 2035.

June 17, 2019

Research suggests that over 30% of jobs in Britain are under threat from breakthroughs in artificial intelligence (AI) technology. With pioneering advances in technology, many jobs that weren’t considered ripe for automation suddenly are. Whether you’re sitting at a desk, driving a taxi or treating patients – stop for a moment. It’s time to ask yourself: could a robot or machine be doing your job?

Using a combination of ONS and PwC data, RS Components has analysed the % of jobs in each featured industry at risk of being replaced by automation (robots) by 2035. These percentages were then used with total employee figures for each industry to establish the total number of jobs at risk.

RS Components have analysed which industries are at the biggest risk of an AI takeover. You can view the findings here.

The sector most exposed to the threats of robots is the Chef & Catering industry, with results showing a whopping 54% of jobs at risk of being taken over by AI technology. Both the Arts, Entertainment and Recreation industry, and the Manufacturing industry are the sectors most at risk after the catering industry, both with 45% of jobs at risk of automation.

The manufacturing industry is the 3rd most likely industry to be taken over by AI robots first, with 45% of manufacturing jobs at risk. With approximately 2.6 million workers in the manufacturing industry, there are thought to be around 1.17 million potential job losses as a result of automation by 2035. In the closer future, almost one third of UK manufacturers expect low-skilled jobs to be lost over the coming five years as a result of artificial intelligence.

This comes as no surprise considering how easily process-driven jobs such as those in transportation, customer service and manufacturing can be automated, allowing robots and AI technology to do these jobs quicker and more efficiently, and leaving the jobs that require interaction, personality or creativity to humans.

If a job is repetitive, physical and requires minimum effort to train for, it will have a higher likelihood to become automated by machines. For example in the manufacturing industry, repetitive manual labour and routine tasks can be taught to fixed machines and mimicked easily, saving employers both time and money.

There is no doubt that the manufacturing sector is already leading the way in the application of artificial intelligence technology – using AI-powered analytics to improve efficiency, product quality and the safety of employees. Recent research suggests that more than 90% of senior marketing executives are looking to AI to increase productivity.

However, despite this, experts argue there will always be roles for those who want to hone their skills in manufacturing robotics and in working in the AI industry itself. Complexity volume and margin all combine in different ways to rule out the use of robots in manufacturing businesses, meaning that unless the volume produced or profit made supports the significant cost of using a robot, human workers will continue to manually carry out manufacturing labour.

In addition, some employers will be less at risk than others. The PwC report states that the differentiating factor between losing jobs to automation probability is education; those with a GCSE-level education or lower face a 46% risk, whilst those with undergraduate degrees or higher face a 12% risk.

In order to ensure maximum productivity in the future, humans and robots will need to work alongside each other. Displaced workers could get re-trained to apply their skills elsewhere, or fill gaps that currently exist elsewhere in the labour market.

John Hawswork, Chief Economist at PwC comments:
“Automating more manual and repetitive tasks will eliminate some existing jobs, but could also enable some workers to focus on higher value, more rewarding and creative work, removing the monotony from our day jobs. By boosting productivity – a key UK weakness over the past decade – and so generating wealth, advances in robotics and AI should create additional jobs in less automatable parts of the economy as this extra wealth is spent or invested.”

Manufacturing companies therefore need to be investing money into training and upskilling their employees to take the jobs that this innovation creates. According to research, manufacturers want to retain those employees whose jobs are at risk, with 58% planning to re-skill them to work in other parts of the business, and 54% intending to upskill employees to work in the new roles that technological developments will create.

As the technology becomes more common and more adaptable, price points are likely to drop further, meaning more companies will be using AI technology than ever before. However while unskilled labour may slowly die out, higher level opportunities (developing and running this technology) will amplify.

About RS Components
RS Components is the leading global distributor of electronic, electrical & industrial components for engineers, and has been supporting and inspiring generations of engineers since 1937.

the jobs ai will take over first

 

Subscribe to Industry Today

Read Our Current Issue

Made To Stay: Attracting Gen Z Into Manufacturing

Most Recent EpisodeAn Ambition To Be a Great Leader

Listen Now

A childhood in Kansas, college in California where she met her early mentor, Leigh Lytle spent 15 years in the Federal Reserve Banking System and is now the 1st woman President & CEO of the Equipment Leasing & Finance Association. Join us to hear about her ambition to be a great leader.