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Automation, Skills Use and Training

Type:
Document
Content Type:
Automation, Skills Use and Training
Language:

English

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english
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skpEng
Sources:

Information is gathered from other international organizations that promote skills development and the transition from education and training to work. The Interagency Group on Technical and Vocational Education and Training (IAG-TVET) was established in 2009 to share research findings, coordinate joint research endeavours, and improve collaboration among organizations working at the international and national levels.

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skpIntOrg
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international-organizations
Topics:

Anticipating and matching skills needs

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Anticipating and building skills for the future is essential to a rapidly changing labour market. This applies to changes in the types and levels of skills needed as well as in occupational and technical areas. Effective methods to anticipate future skills needs and avoid potential mismatches include: sustained dialogue between employers and trainers, coordination across government institutions, labour market information systems, employment services and performance reviews of training institutions. 

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skpAFSN
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anticipating-and-matching-skills-needs

Training quality and relevance

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Identifier
skpTrainQR
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training-quality-and-relevance
Knowledge Products:

Research papers

Working papers, reports, and other publications from international organizations, academic institutions and bilateral agencies. Research findings to stimulate informed debate on skills, employment and productivity issues. 

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Identifier
skpRPS
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research-papers
Publication Date:
18 May 2004
This study focuses on the risk of automation and its interaction with training and the use of skills at work. Building on the expert assessment carried out by Carl Frey and Michael Osborne in 2013, the paper estimates the risk of automation for individual jobs based on the Survey of Adult Skills (PIAAC).

The analysis improves on other international estimates of the individual risk of automation by using a more disaggregated occupational classification and identifying the same automation bottlenecks emerging from the experts’ discussion. Hence, it more closely aligns to the initial assessment of the potential automation deriving from the development of Machine Learning.

Furthermore, this study investigates the same methodology using national data from Germany and United Kingdom, providing insights into the robustness of the results. The risk of automation is estimated for the 32 OECD countries that have participated in the Survey of Adult Skills (PIAAC) so far. Beyond the share of jobs likely to be significantly disrupted by automation of production and services, the accent is put on characteristics of these jobs and the characteristics of the workers who hold them. The risk is also assessed against the use of ICT at work and the role of training in helping workers transit to new career opportunities.

http://dx.doi.org/10.1787/2e2f4eea-en
Subject Tags:

Skills anticipation

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skills-anticipation
Identifier
677

Skills re-training

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skills-re-training
Identifier
655

Technology

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technology
Identifier
345
Regions: