Copy data in the Job Report 2020

Aug 6th, 2022
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Many studies have predicted the likelihood that jobs will be replaced by AI. Yet we know that in many cases AI is likely to complement human work. The IMF analysis captures both these forces. The findings are striking: almost 40 percent of global employment is exposed to AI.
The Future of Jobs Report 2023 explores how jobs and skills will evolve over the next five years. This fourth edition of the series continues the analysis of employer expectations to provide new insights on how socio-economic and technology trends will shape the workplace of the future.
The unemployment rate in April 2020 increased by 10.3 percentage points to 14.7 percent. This is the highest rate and the largest over-the-month increase in the history of the data (available back to January 1948). The number of unemployed persons rose by 15.9 million to 23.1 million in April.
The IMF noted that about 60% of jobs could be impacted by AI in high-income nations, and roughly half of these may benefit from AI integration to boost productivity. Comparatively, AI exposure was estimated to come in at 40% in emerging markets and at 26% in low-income countries, respectively.
The top skills and skill groups which employers see as rising in prominence in the lead up to 2025 include groups such as critical thinking and analysis as well as problem-solving, and skills in self-management such as active learning, resilience, stress tolerance and flexibility.
But the most recent World Economic Forum meeting in Davos, presented a dj vu moment: An IMF report concluded that 40% of jobs around the world will be affected by AI. In advanced economies, that rises to 60% of jobs set to be affected by machine learning, with about half being negatively impacted.
How many jobs will be lost to ai by 2025? The World Economic Forum has estimated that artificial intelligence will replace some 85 million jobs by 2025.
The robot revolution will create 97 million new jobs. As the economy and job markets evolve, new roles will emerge across the care economy in technology fields (such as artificial intelligenceAI) and in content creation careers (such as social media management and content writing).

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