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There has been a lot of press the last few days about a paper The Future of Employment: How Susceptible Are Jobs to Computerisation?, published by the Oxford Martin Programme on the Impacts of Future Technology.

Almost all the coverage has been on the headline figure that 47% of US employment is at risk. However the paper provides many more interesting insights when you examine the detail.

The underlying methodology of the study included examining the categorizations developed by the US Department of Labor for its O*NET jobs service, drawing on 702 job categories.

The following job characteristics in the job descriptions were assessed as less automatable.

jobsautomated_bottleneck
Source: The Future of Employment: How Susceptible Are Jobs to Computerisation?

Some of these, such as Originality, Social perceptiveness, and Persuasion can certainly be recognized as being currently outside of the capabilities of computers. Manual dexterity has proven to be surprisingly difficult, though good advances are currently been made.

I would argue that Assisting and Caring for Others has a number of distinct elements, some of which may well be readily automated, and others that could be automated before many people suspect.

The analysis then examined the probability that each of the job roles will be automated.

jobautomation_probability
Source: The Future of Employment: How Susceptible Are Jobs to Computerisation?

The area under the curve covers all US employment.

As brought out in my Future of Work framework, the forces of polarization are strongly at work, with a large majority of jobs having either a very low or very high probability of automation.

This echoes research showing that for the last three decades job growth has happened almost exclusively in low skill or high skill jobs.

The threshold of >70% probability from which the 47% of jobs figure comes from is fairly arbitrary. More meaningful is the 35% or so of jobs that have a 85% or greater chance of being automated.

Low risk job sectors include management, business, education, legal, arts, and healthcare, however even these sectors have jobs in the high-risk category.

High risk job sectors include services, sales, and office and administrative support.

The report notes that:

“Our findings suggest that recent developments in [Machine Learning] will put a substantial share of employment, across a wide range of occupations, at risk in the near future. According to our estimates, however, this wave of automation will be followed by a subsequent slowdown in computers for labour substitution, due to persisting inhibiting engineering bottlenecks to computerisation.

The computerisation of occupations in the medium risk category will mainly depend on perception and manipulation challenges.

Our model predicts that the second wave of computerisation will mainly depend on overcoming the engineering bottlenecks related to creative and social intelligence.

Our findings thus imply that as technology races ahead, low-skill workers will reallocate to tasks that are non-susceptible to computerisation – i.e., tasks requiring creative and social intelligence. For workers to win the race, however, they will have to acquire creative and social skills.”

Therein lies one of the most fundamental questions we face in examining the future of work:

Will everyone – or a large majority of the population – be able to develop skills that will place their work value above that of machines?

Let us do what we can, through education, inspiration, and more to get a positive answer to this question.

For the most current insights and trends in the living networks, follow @rossdawson on Twitter!

  • Bob Marshall

    Please define “productive”.

    - Bob

    • http://www.rossdawsonblog.com Ross Dawson

      A very good question to which I don’t have a neat, easy answer. However two of the important aspects of “productive work” are 1) others are prepared to pay for it to be done; 2) others perceive real value (for which they hopefully will be prepared to pay for, directly or indirectly).

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Ross Dawson is globally recognized as a leading futurist, entrepreneur, keynote speaker, strategy advisor, and bestselling author. He is Founding Chairman of AHT Group, which consists of 3 companies: consulting, publishing, and ventures firm Advanced Human Technologies, future and strategy firm Future Exploration Network, and events company The Insight Exchange.

Ross is author most recently of Getting Results From Crowds, the prescient Living Networks, which anticipated the social network revolution, the Amazon.com bestseller Developing Knowledge-Based Client Relationships, and Implementing Enterprise 2.0. (click on the links for free chapter downloads). He is based in Sydney and San Francisco with his wife jewellery designer Victoria Buckley and two beautiful young daughters.

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