The Future of Work: Switzerland's Digital Opportunity

New technologies can give Switzerland’s economy a much-needed productivity boost, but bold digital transformation and skills development are imperative.

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Quick Facts
Report location: source
Language: English
Publisher: McKinsey
Publication date: October 1, 2018
Authors: Angelika Reich, Daniel Läubli, Felix Wenger, Jacques Bughin, Jan Mischke, Marco Ziegler, Minna Schmidt, Mita Sen
Time horizon: 2030
Geographic focus: Switzerland
Page count: 80

Methods

The research method involved analyzing the potential impact of digital technologies, automation, and AI on productivity and employment in Switzerland. It used technology adoption curves, conservative assumptions, and technology benchmarks to estimate job automation potential by 2030. The study also examined sector-specific impacts and the changing demand for skills in the Swiss labor market.

(Generated with the help of GPT-4)

Key Insights

Digital technologies, automation, and artificial intelligence (AI) could significantly increase Swiss productivity by 2030. However, this requires Swiss companies to undergo comprehensive digital transformation and the government to facilitate workforce skill development. While automation may displace jobs, particularly in predictable physical tasks and data processing, it also has the potential to create new roles, particularly in technology and sectors driven by increased consumption due to income growth. The impact on employment varies by sector, with retail, manufacturing, and finance likely to experience net job losses, while healthcare and education may see job growth. To remain competitive and ensure inclusive growth, Switzerland must invest in digital technologies and services, particularly in export sectors, and address the impending shift in skills demand, emphasizing technological, social, and emotional skills over manual and basic cognitive abilities. The country's education system and immigration policies will play crucial roles in meeting these new skill requirements.

(Generated with the help of GPT-4)

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