Workers

Arbeitslandschaft 2040

Title Original Language:

Arbeitslandschaft 2040

Abstract Original Language:

Die Studien zur Arbeitslandschaft untersuchen in regelmäßigen Abständen, wie sich Angebot und Nachfrage am Arbeitsmarkt entwickeln und welche Ungleichgewichte sich einstellen. Im aktualisierten Gutachten sind vor allem die Beurteilung der Auswirkungen des technologischen Fortschritts und der Digitalisierung auf die zukünftigen Arbeitsinhalte auf den aktuellen Stand der Forschung gebracht worden. Zudem wurde eine angepasste wirtschaftliche Rahmenprognose der Analyse zugrunde gelegt.

Author:

Vereinigung der Bayerischen Wirtschaft e. V. – vbw

Keywords:

Original Language:

Date of Editorial Board meeting:

1st Editorial Board Meeting

Publication date:

Thursday, May 21, 2015

Abstract in English:

Die Studien zur Arbeitslandschaft untersuchen in regelmäßigen Abständen, wie sich Angebot und Nachfrage am Arbeitsmarkt entwickeln und welche Ungleichgewichte sich einstellen. Im aktualisierten Gutachten sind vor allem die Beurteilung der Auswirkungen des technologischen Fortschritts und der Digitalisierung auf die zukünftigen Arbeitsinhalte auf den aktuellen Stand der Forschung gebracht worden. Zudem wurde eine angepasste wirtschaftliche Rahmenprognose der Analyse zugrunde gelegt.

File:

Download

Country of publication:

Germany

File Original Language:

20150521-Studie-AL-2040-final.pdf

Cover page image:

Number of pages:

109

Country Original Language:

Topics:

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Public Predictions for the Future of Workforce Automation

Author:

Pew Research Center

Keywords:

Workers

Robots

Semi-Autonomous Robots

Intelligent Algorithms

United States

Computerization

Date of Editorial Board meeting:

1st Editorial Board Meeting

Publication date:

Thursday, March 10, 2016

Abstract in English:

A majority of Americans predict that within 50 years, robots and computers will do much of the work currently done by humans – but few workers expect their own jobs or professions to experience substantial impacts.

From self-driving vehicles and semi-autonomous robots to intelligent algorithms and predictive analytic tools, machines are increasingly capable of performing a wide range of jobs that have long been human domains. A 2013 study by researchers at Oxford University posited that as many as 47% of all jobs in the United States are at risk of “computerization.” And many respondents in a recent Pew Research Center canvassing of technology experts predicted that advances in robotics and computing applications will result in a net displacement of jobs over the coming decades – with potentially profound implications for both workers and society as a whole.

File:

Public Predictions for the Future of Workforce Automation

Country of publication:

United States

Cover page image:

Number of pages:

12

Topics:

Read more about Public Predictions for the Future of Workforce Automation

ORBIS is powered by ESPAS, the European Strategy and Policy Analysis System, a unique inter-institutional project aimed at strengthening the EU's efforts in the crucial area of forward planning. ESPAS brings together the European Commission, the European Parliament, the Secretariat General of the Council of the European Union and the European External Action Service to strengthen the Union's collective administrative capacity to identify and analyse the key trends and challenges, and the resulting policy choices, which are likely to confront Europe and the wider world in the decades ahead.

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Workers

Arbeitslandschaft 2040

Public Predictions for the Future of Workforce Automation