布鲁盖尔-Policy-and-Politics-in-the-Era-of-the-Industrial-Internet_-How-the-Digital-Transformation-Will-Change-the-Political-Arena_160页_5mb

Summary of "Digitalisation and European Welfare States"

Core Content

This report explores the impact of digitalisation, automation, and artificial intelligence (AI) on the European labour market and welfare states. It provides a historical context for technological change, examines current trends and public perceptions, and outlines the implications for social protection and employment. The authors also present recommendations for adapting EU welfare systems to the challenges posed by the digital revolution.

Main Views and Key Information

1. The Future of Work

• Technological Change and Employment: Rapid technological progress and innovation can threaten employment, but historical evidence suggests that while there may be short-term job displacement, long-term efficiency gains often lead to job creation.
• Historical Precedent: The Industrial Revolution saw automation lead to efficiency gains and job displacement, but new industries emerged that offset these losses. Similar patterns may occur with the digital revolution.
• Digitalisation: The current era of digitalisation is unprecedented, with computers and information technologies at the core. AI is becoming a reality, with machines increasingly outperforming humans in cognitive tasks.

2. The Speed of Technological Progress

• Moore's Law: The number of transistors per circuit has grown exponentially, doubling every two years since the 1960s.
• Metcalfe's Law: The value of a network increases with the square of the number of connected nodes, making online platforms increasingly valuable.
• Varian's Law: Digital components are free, while digital products are highly valuable, driving innovation through the combination of these components.

3. Public Perceptions of Technological Change

• Europe and the US: While 72% of Americans and 74% of Europeans express concern about job displacement due to AI and robots, only 44% of Europeans believe their own job is at risk.
• Media and Academic Discourse: Public perception of AI has increased since the 1970s, with a notable spike in the late 1980s in non-English languages. The tone of articles has shifted from optimism to concern about "loss of control" and negative impacts on work.

4. Platform Work

• Definition: Platform work involves matching supply and demand for tasks digitally, often through online platforms.
• Scope in Europe: Pesole et al (2018) estimate that only a small fraction of the adult population in the EU has earned more than 25% or 50% of their income via platforms.
• Implications: Platform work is reshaping the nature of employment, blurring traditional distinctions between employees and self-employed individuals.

5. The Labour Market

• Employment Trends: Post-crisis, employment rates in the EU have returned to pre-crisis levels, indicating a strong labour market.
• Labour Share of National Income: The share of national income going to labour has declined globally, including in the EU, raising concerns about the sustainability of welfare state funding.
• Mark-ups: The increase in mark-ups (price over marginal cost) since 1980 has contributed to the decline in the labour share, especially in Europe and the US.

6. Social Protection in the EU

• Current System: Welfare states in the EU are funded largely through taxes and levies on employment, which are a substantial part of GDP.
• Platform Workers: There are significant gaps in social protection for platform workers, who are often classified as self-employed rather than employees.
• Policy Challenges: The EU must address how to fund welfare systems in light of declining labour shares and how to secure workers' rights in the context of automation and platform work.

7. Recommendations

• Adequate Social Protection: Ensure all workers, including those in platform work, have access to adequate social protection.
• Funding the Welfare State: Rethink the funding mechanisms of welfare states, considering the shift in income distribution and the role of capital taxation.
• Addressing Unemployment: Prepare for possible high unemployment by investing in education and training.
• Managing Rapid Change: Emphasise the need for education, training, and adaptability to manage the transition caused by technological change.
• EU and Member-State Measures: Both EU-wide and national policies are necessary to adapt welfare systems to the digital age.

Conclusion

The report argues that while digitalisation and automation pose challenges to the traditional structure of the labour market and welfare states, they also present opportunities for innovation and job creation. The key is to ensure that the benefits of technological progress are shared equitably and that welfare systems are reformed to support all workers, especially those in new forms of employment such as platform work. The authors advocate for a balanced approach that includes policy reform, investment in digital skills, and rethinking the taxation of capital income to sustain the European welfare model in the face of technological change.