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Report:The Future of Work: AI at Work

LinkedIn has recently published an interesting study of ”AI at work”. The study is based on unique data from LinkedIns platform of more then 980 million professionels members. This report are some high lights of relevans for our research of General AI (GAI) and possible impact on the labour market of professionels.
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  • Interorganizational Network on Artificial Intelligence in Services (Research Project)
    • LinkedIn has recently published an interesting study of ”AI at work”. The study is based on unic data from LinkedIns platform of more then 980 million professionels members.
    LinkedIn has recently published an interesting study of ”AI at work”. The study is based on unic data from LinkedIns platform of more then 980 million professionels members.
    By: Peter Ploughman

    GAI-replicable skills versus GAI-complementary skills

    LinkedIn focus on GAI-replicable skills: 500+ skills most likely to be replicable by GAI among LinkedIn’s taxonomy of ~38,000 skills. The most frequently added skills by members are:

    1. Communication & media skills: Writing, Editing, Documentation, Translation, Video,
    2. Photography, Music, Content Creation
    3. Business & industry skills: Financial Reporting, Email Marketing, Data Analysis
    4. Engineering skills: Software Development Tools, Programming Languages, Data Science
    5. People skills: Time Management Tools

    Occupational composition by GAI-replicable and GAI-complementary skills

    The study identify three relative areas for occupations relevant for creating a model of segmentation of the labour market of professionels. 

    1. jobs likely to be augmented by GAI because their core skills include a large share of both of GAI-replicable and GAI-complementary skills, 
    2. jobs that could be prone to be disrupted by GAI, as their core skills include a large share of GAI-replicable but a relatively low share of GAI-complementary skills,
    3. jobs that may be insulated from GAI because they have a relatively small proportion of GAI-replicable skills in their core skills.

    Gender and Age generation distribution by GAI segment

    The study shows that a new gender gap seems to become a new risk. 

    ”Women are underrepresented in jobs that are likely to be insulated or augmented by GAI, and are overrepresented (57% of US members) in jobs that will likely be disrupted by these new technologies.

    Finally - as might be expected - the younger generation seems to benefit more from GAI then the older generations, although the Boomers seems to be more insulated from GAI.