WEF_Future_of_Jobs_2023

(SERGIO PINHEIROFdUjs8) #1

  1. Human-machine frontier
    This bar chart shows the share of tasks performed by humans and machines today and in 2027,
    based on responses to “Currently/In five years, what proportion of time spent doing the following
    tasks in your organization cannot be automated (that is, performed by machines and algorithms) and
    is thus spent by your human workforce performing the task?”.


PeriodSource: 2022-2023: World Economic Forum, Future of Jobs
Survey



  1. Core skills
    This bar and table estimate the relative importance of eight groups of skills for companies. It is based
    on responses by the companies that operate in the respective economy or region to the the question,
    “What are the core skills workers currently need to perform well in the key roles with a stable outlook?”,
    where respondents are able to select all the level-3 skills in the Global Skills Taxonomy that apply. The
    relative importance of each skill is calculated as a share of the total number of skills selected by each
    respondent, and averaged across all respondents. For example, a skill is assigned a share of 100% if it
    is the only one selected by a respondent, or 25% if it one of the four skills selected by the respondent.


PeriodSource: 2022-2023: World Economic Forum, Future of Jobs
Survey



  1. Reskilling skill focus
    This bar chart shows the share of surveyed companies that operate in the respective economy
    or region that selects a particular level-3 skill in the Global Skills Taxonomy, based on responses to the
    question, “Keeping in mind your current strategic direction, please select the skill clusters on which
    you are focusing your organization’s reskilling and upskilling efforts in the next five years”.


PeriodSource: 2022-2023: World Economic Forum, Future of Jobs
Survey



  1. Skill stability
    This is the average of estimates of surveyed companies that operate in the respective economy
    or region, based on responses to the question, “What proportion of the core skills required by your
    workforce will remain the same?”, compared with the global average.


PeriodSource: 2022-2023: World Economic Forum, Future of Jobs
Survey


  1. Training funding
    This table shows average proportion of training funding among surveyed companies that operate
    in the respective economy or region, based on responses to the question, “How will you fund the
    majority of your training, upskilling and reskilling efforts in your organization?”, compared with the
    global average.
    PeriodSource: 2022-2023: World Economic Forum, Future of Jobs
    Survey

  2. Training type
    This bar and table show the average proportion of training type among surveyed companies that
    operate in the respective economy or region, based on response to the question, “In your
    future reskilling and upskilling programmes, what proportion of training provision will come from?”,
    compared with the global average.
    PeriodSource: 2022-2023: World Economic Forum, Future of Jobs
    Survey

  3. Talent outlook in 2027
    This bar chart shows the share of respondents that operate in the respective economy or region
    who expect their talent availability when hiring, talent development of existing workforce, and
    talent retention of existing workforce to improve or worsen in five years, and their net effect of surveyed
    companies that operate in the respective economy or region, compared with the global average. It is
    based on the responses to the question, “How would you rate talent availability, development
    and retention in your organization in the next five years?”. Net effect is calculated by the share of
    respondents who expect their talent availability to improve or improve significantly, minus the share of
    respondents who expect their talent availability to worsen or worsen significantly.
    PeriodSource: 2022-2023: World Economic Forum, Future of Jobs
    Survey


Future of Jobs Report 2023 91
Free download pdf