Jobs lost, jobs gained: workforce transitions in a time of automation.

Autor/inn/en	Manyika, James; Lund, Susan; Chui, Michael; Bughin, Jacques; Woetzel, Jonathan; Batra, Parul; Ko, Ryan; Sanghvi, Saurabh
Institution	McKinsey Global Institute
Titel	Jobs lost, jobs gained: workforce transitions in a time of automation. Gefälligkeitsübersetzung: Verlorene und gewonnene Arbeitsplätze: Arbeitskräftemobilität im Zeitalter der Automation.
Quelle	Washington, DC (2017), 148 S. PDF als Volltext kostenfreie Datei Link als defekt meldenVerfügbarkeit
Zusatzinformation	Executive Summary
Sprache	englisch
Dokumenttyp	online; Monographie
Schlagwörter	Industrielle Revolution; Automatisierung; Technologische Entwicklung; Beschäftigungseffekt; Einkommenseffekt; Wirtschaftsgeschichte; Arbeit; Arbeitsmarktentwicklung; Arbeitsplatzabbau; Job turnover; Qualifikationsanforderung; Szenarium; Zukunft; China; Deutschland; Indien; Japan; Mexiko; USA
Abstract	"The technology-driven world in which we live is a world filled with promise but also challenges. Cars that drive themselves, machines that read X-rays, and algorithms that respond to customer-service inquiries are all manifestations of powerful new forms of automation. Yet even as these technologies increase productivity and improve our lives, their use will substitute for some work activities humans currently perform -- a development that has sparked much public concern.; Building on our January 2017 report on automation, McKinsey Global Institute's latest report, Jobs lost, jobs gained: Workforce transitions in a time of automation, assesses the number and types of jobs that might be created under different scenarios through 2030 and compares that to the jobs that could be lost to automation.; The results reveal a rich mosaic of potential shifts in occupations in the years ahead, with important implications for workforce skills and wages. Our key finding is that while there may be enough work to maintain full employment to 2030 under most scenarios, the transitions will be very challenging - matching or even exceeding the scale of shifts out of agriculture and manufacturing we have seen in the past.; 1. What impact will automation have on work?; 2. What are possible scenarios for employment growth?; 3. Will there be enough work in the future?; 4. What will automation mean for skills and wages?; 5. How do we manage the upcoming workforce transitions?" (Autorenreferat, IAB-Doku).
Erfasst von	Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg
Update	2018/2