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来源类型 | Papers |
规范类型 | 论文 |
来源ID | CIGI Papers No. 174 |
Automation and the Future of Work: Scenarios and Policy Options | |
Joël Blit; Samantha St. Amand; Joanna Wajda | |
发表日期 | 2018-05-29 |
出版年 | 2018 |
语种 | 英语 |
摘要 | Driven by the exponential growth in computing power and the digitization of things, artificial intelligence and robotics are poised to transform the economy. While these technologies are likely to boost productivity and generate significant wealth, their potential impact on the labour market is concerning, with some estimates suggesting that nearly half of all existing jobs could be automated in the next two decades. What is almost certain is that these technologies will further increase inequality: workers with skills that are complementary to these new technologies will benefit, while those with skills that are substitutes will face dimming job prospects. The extent and speed of the transformation remains uncertain. This paper presents several possible scenarios for the future of work and draws on the Industrial Revolution to offer a historical perspective. It ends with a discussion of different policy options that could be deployed. Foremost, it highlights the urgent need for further international collaboration to broaden the tax base, both because tax avoidance is likely to become a bigger problem as wealth and income become increasingly concentrated and mobile and because of the likely need to expand the social safety net in the face of potentially massive and long-lasting disruptions. |
主题 | Innovation & Productivity |
子主题 | Innovation & Trade |
URL | https://www.cigionline.org/publications/automation-and-future-work-scenarios-and-policy-options |
来源智库 | Centre for International Governance Innovation (Canada) |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/180705 |
推荐引用方式 GB/T 7714 | Joël Blit,Samantha St. Amand,Joanna Wajda. Automation and the Future of Work: Scenarios and Policy Options. 2018. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
Paper no.174lowres.p(290KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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