Will AI make it easier to get the productivity growth we want?
AI's contribution to productivity growth across the world will be influenced by three key factors, and policy will play a important role in shaping them.
Era Dabla-Norris is an Deputy Director in the IMF’s Fiscal Affairs Department, where she leads the work on the IMF’s Flagship report, the Fiscal Monitor.
Prior to this she was the Mission Chief to Vietnam and Division Chief in the IMF's Asia and Pacific Department, where she led the work on fiscal, climate, and productivity and growth issues in the region. Since joining the IMF she has worked on a range of advanced, emerging market, and low-income countries and published widely on a variety of topics, including the economics and political economy of tax policy reforms, climate, growth, productivity, debt, trade, labor, inequality, and gender. She is the editor of the book, Debt and Entanglements. Her research has also been profiled regularly in leading global newspapers and magazines such as The Economist, Financial Times, Bloomberg, BBC, and CNN. Era Dabla-Norris earned a PhD in economics from the University of Texas and a MA in economics from the Delhi School of Economics.
AI's contribution to productivity growth across the world will be influenced by three key factors, and policy will play a important role in shaping them.
在2024至2028年的五年间,全球平均增长率预计为3.1%,是几十年来的最低增速。新兴市场和发展中经济体的增长放缓尤其显著。但对于经济决策者来说,更高的增长率不应该是目标,而应是手段。要应对低增长时代的挑战,增长就必须以复苏生产力和更新资本形成为基础。
To close the growth gap between emerging and advanced economies, policy-makers must focus on growth underpinned by productivity and capital formation.
A new set of global tax reforms will change where tech giants pay taxes, resulting in major ramifications for investments hubs across Asia like Singapore.
Measures tracking mobility, such as Google Community Mobility Reports, showed that adherence to keeping our distance from others began to relax, likely caused by pandemic fatigue.
自动化和全球一体化使许多传统“常规”工作消失了。以英国为例,这些趋势因性别和教育水平而异。包括重视技能在内的政策解决方案,将是克服这些趋势的消极后果的关键。
In the Asia-Pacific region, informal workers account for nearly 60% of non-farm workers, a group particularly vulnerable to economic disruption caused by COVID-19.
Trends from globalization to automation are changing the world of work - but what might it mean for younger people?
我们的工作方式正在以前所未有的速度发生着改变。数字化、人工智能、机器学习正凭借其自动化进程淘汰了许多仅需中低端技能就能完成的常规工作。
What will the relationship between working women and technology look like and what does this mean for the fight for equal opportunities?
La digitalización, la inteligencia artificial y el aprendizaje automático están eliminando, por medio de la automatización, muchos trabajos que implican tareas rutinarias que requieren ba...
Un nuevo estudio indica que la reducción de las barreras al comercio internacional y la inversión extranjera directa (IED) podría estimular la productividad y el producto.
IMF research examines the impact of lowering trade barriers on global productivity and growth.