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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.
International Monetary Fund. Middle East and Central Asia Dept.
Swift and decisive policy response to the Covid-19 pandemic has helped to mitigate the health and economic impact of the crisis. Fast vaccination rollout has also strengthened the economy’s resilience to new pandemic waves, paving the way for a speedy recovery. As the economy rebounds, a gradual exit from pandemic support measures is underway.
International Monetary Fund. Middle East and Central Asia Dept.
This Selected Issues paper discusses measures required to enhance nonhydrocarbon revenue to support fiscal consolidation in Qatar. Qatar depends heavily on the hydrocarbon sector for exports and revenue receipts. The authorities have embarked on fiscal consolidation, underpinned by cuts to current expenditures and enhanced efforts to raise additional revenue. Safeguarding Qatar’s wealth to ensure intergenerational equity and ensure adequate resources for the implementation of the second National Development Strategy would entail increased mobilization of nonhydrocarbon revenue in the near to medium term. Exploring other sources of tax revenue to diversify the government revenue structure and build a stable tax revenue base is also critical.