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Middle East and Central Asia > Qatar

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Cover Selected Issues Papers
Artificial Intelligence in Qatar: Assessing the Potential Economic Impacts
Tongfang Yuan
Qatar has been actively preparing to embrace the transformative potential of artificial intelligence (AI), allowing it to lead its Emerging Market peers in AI readiness. Qatar’s AI exposure has increased significantly over the years, and increasing AI adoption is assessed to yield more opportunities than risks for the country’s labor force, thanks to the private sector’s contribution in increasing jobs that are more likely to benefit from AI-driven productivity gains. Scenario analyses suggest that increasing AI adoption, supported by policy reforms to boost human capital, innovation and domestic knowledge spillovers, could generate sizeable labor productivity gains over the medium term.
Keywords:
Artificial Intelligence (AI); labor demand; productivity; skills; Qatar; AI adoption; productivity gain; Qatar's AI exposure; artificial intelligence in Qatar; potential of artificial intelligence; Labor force; Labor productivity; Global
Cover Selected Issues Papers
Building a Knowledge-Based Economy to Boost Growth: The Role of Export Diversification in Qatar
Ken Miyajima
Motivated by Qatar’s Third National Development Strategy, this note discusses ingredients for boosting export diversification and growth potential. Drawing on cross-country experiences and empirical analyses, we shed light on how successful policies supported building human capital and economic complexity, the type of strategy that could best suite Qatar's circumstances, and pitfalls to avoid.
Keywords:
Economic complexity; export diversification; human capital; innovation; Qatar; Third National Development Strategy; suite Qatar's circumstances; based economy; goods export; lessons Qatar; Korea's export mix; Exports; Comparative advantage; Export performance; Middle East; Eastern Europe; Europe; Global
Cover IMF Staff Country Reports
Qatar: Selected Issues
International Monetary Fund. Middle East and Central Asia Dept.
2024 Selected Issues
Keywords:
AI readiness; AI adoption; B. Qatar's progress; artificial intelligence in Qatar; innovation policy; Export diversification; Capital spending; Exports; Human capital; Global; Middle East; Eastern Europe; Europe
Cover Policy Papers
Gulf Cooperation Council: Pursuing Visions Amid Geopolitical Turbulence: Economic Prospects and Policy Challenges for the GCC Countries
International Monetary Fund. Middle East and Central Asia Dept.
The Gulf Cooperation Council countries have successfully weathered recent turbulence in the Middle East, and their economic prospects remain favorable. Nonhydrocarbon activity has been strong amid reform implementation, although overall growth has decelerated due to cuts in oil production. The growth outlook is positive, as the envisaged easing of oil production cuts and natural gas expansion spur the recovery in the hydrocarbon sector, while the nonhydrocarbon economy continues to expand. External buffers remain comfortable despite current account balances having narrowed. Risks around the outlook are broadly balanced in the near term. More challenging medium-term risks, especially in the context of geoeconomic fragmentation and climate change, call for action on policy priorities to continue to strengthen the private sector and to diversify the economy.
Keywords:
economic diversification; financial stability; fiscal sustainability; GCC; productivity improvements; regional integration; GCC country; policy priority; B. GCC; GCC well; GCC public sector balance sheet; Labor markets; Fiscal rules; Total factor productivity; Global; Middle East; Middle East and Central Asia
Cover IMF Working Papers
The Labor Market Impact of Artificial Intelligence: Evidence from US Regions
Yueling Huang
This paper empirically investigates the impact of Artificial Intelligence (AI) on employment. Exploiting variation in AI adoption across US commuting zones using a shift-share approach, I find that during 2010-2021, commuting zones with higher AI adoption have experienced a stronger decline in the employment-to-population ratio. Moreover, this negative employment effect is primarily borne by the manufacturing and lowskill services sectors, middle-skill workers, non-STEM occupations, and individuals at the two ends of the age distribution. The adverse impact is also more pronounced on men than women.
Keywords:
Artificial intelligence; technology; labor; local labor markets; shift share; middle-skill worker; labor market impact; impact of artificial intelligence; employment effect; low-skill services sectors; Employment; Employment rate; Labor markets; Global
Cover Selected Issues Papers
Impact of AI on Singapore's Labor Market: Singapore
Shujaat A Khan
Singapore is well-prepared for AI adoption but stands highly exposed to the increasing use of artificial intelligence (AI) technologies in the workplace, due to a large share of skilled workforce. While half of the highly exposed segment of the labor force stands to benefit from the appropriate use of AI to complement their tasks, potentially boosting their productivity, the other half may face greater vulnerability to AI’s disruptive effects due to lower levels of AI complementarity. Estimates suggest that women and younger workers are more exposed to the effects of AI, which, in the absence of appropriate policies, could worsen income inequality in Singapore. Targeted training policies, leveraging on the existing SkillsFuture program, can harness AI's potential. Additionally, focused upskilling can mitigate the disruptive impact of AI on vulnerable workers.
Keywords:
AI exposure; AI complementarity; AI adoption; disruptive effect; impact of AI; Artificial intelligence; Labor markets; Labor force; Global
Cover IMF Staff Country Reports
Singapore: 2024 Article IV Consultation-Press Release; Staff Report; and Statement by the Executive Director for Singapore
International Monetary Fund. Asia and Pacific Dept
The 2024 Article IV Consultation with Singapore highlights that following a slowdown in 2023, growth is projected to recover gradually to 2.1 percent in 2024. After reaching 6.1 percent in 2022, inflation has steadily declined to 2.7 percent in April 2024. The pace of disinflation has nonetheless been gradual, with signs of persistent price pressures including from a tight labor market. With risks to global growth now broadly balanced, downside risks to growth outlook have diminished relative to last year, but Singapore remains vulnerable to a deepening of geo-economic fragmentation. Inflation risks remain tilted to the upside. The broadly neutral fiscal stance relative to 2023 will complement the tight monetary policy stance in achieving price stability, while targeted support to vulnerable households and firms will provide temporary relief from high costs of living and business. Singapore’s financial sector remains resilient with solid capital and liquidity buffers, though vigilance against pockets of vulnerabilities is warranted, including from potential systemic risks arising from the housing market. In this context, the tight macroprudential policy stance remains appropriate.
Keywords:
article IV consultation discussion; FSAP update; Singapore economy; CPI-All Items inflation; disinflation trend; Labor markets; Inflation; Artificial intelligence; Liquidity requirements; Global; Asia and Pacific
Cover IMF Staff Country Reports
Singapore: Selected Issues
International Monetary Fund. Asia and Pacific Dept
This Selected Issues paper estimates the exchange pass-through to inflation in Singapore with a particular focus on the role of labor market conditions. The paper first finds a strong exchange rate pass-through to inflation in Singapore, after accounting for the potential endogeneity of changes in the exchange rate. Further, it uncovers that labor market tightness dampens exchange rate pass-through and therefore could weaken monetary policy transmission. Overall, the results suggest that monetary policy should be more vigilant under a tight labor market condition. Under tight market conditions, the pass-through is found to be severely weakened and more so for the service components of the consumer price index basket. Overall, our findings suggest that the exchange rate-based monetary policy serves Singapore well, but it would need to be more vigilant when the labor market is tight. The paper then draws policy implications for taming inflation under tight labor market conditions. Further, policies designed to ease structural labor market tightness could help support monetary policy to ensure price stability in Singapore. This is consistent with a recent study on the US that suggests that dealing with the inflationary pressures originating from a tight labor market would require policy actions that bring labor demand and supply into a better balance.
Keywords:
AI exposure; IMF China growth projection; China growth shock; growth slowdown; growth shock; Artificial intelligence; Exchange rate pass-through; Inflation; Labor markets; Spillovers; Global; Southeast Asia; Asia and Pacific
Cover IMF Working Papers
The Green Future: Labor Market Implications for Men and Women
Naomi-Rose Alexander
,
Longji Li
,
Jorge Mondragon
,
Sahar Priano
, and
Marina Mendes Tavares
This study examines the green transition's effects on labor markets using a task-based framework to identify jobs with tasks that contribute, or with the potential to contribute, to the green transition. Analyzing data from Brazil, Colombia, South Africa, the United Kingdom, and the United States, we find that the proportion of workers in green jobs is similar across AEs and EMs, albeit with distinct occupational patterns: AE green job holders typically have higher education levels, whereas in EMs, they tend to have lower education levels. Despite these disparities, the distribution of green jobs across genders is similar across countries, with men occupying over two-thirds of these positions. Furthermore, green jobs are characterized by a wage premium and a narrower gender pay gap. Our research further studies the implications of AI for the expansion of green employment opportunities. This research advances our understanding of the interplay between green jobs, gender equity, and AI and provides valuable insights for promoting a more inclusive green transition.
Keywords:
Labor Market Transition; Climate Change; Employment; narrower gender pay gap; wage premium; job holder; employment share; Gender inequality; Artificial intelligence; Women; Global
Cover Staff Discussion Notes
Broadening the Gains from Generative AI: The Role of Fiscal Policies
Fernanda Brollo
,
Era Dabla-Norris
,
Ruud de Mooij
,
Daniel Garcia-Macia
,
Tibor Hanappi
,
Li Liu
, and
Anh D. M. Nguyen
Generative artificial intelligence (gen AI) holds immense potential to boost productivity growth and advance public service delivery, but it also raises profound concerns about massive labor disruptions and rising inequality. This note discusses how fiscal policies can be employed to steer the technology and its deployment in ways that serve humanity best while cushioning the negative labor market and distributional effects to broaden the gains. Given the vast uncertainty about the nature, impact, and speed of developments in gen AI, governments should take an agile approach that prepares them for both business as usual and highly disruptive scenarios.
Keywords:
Artificial intelligence; AI; technological change; labor market; fiscal policy; social protection systems; tax systems; IMF Staff Discussion Note SDN2024/002; gen AI; advance public service delivery; role of fiscal policies; replacement ratio; job displacement; income support; tax treatment; market power; Labor markets; Corporate income tax; Automation; Capital income; Global