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AI threatens 40% of jobs in developing nations like Albania

Artificial Intelligence is poised to influence nearly 40% of jobs globally, transforming the employment landscape. According to Kristalina Georgieva, Managing Director of the International Monetary Fund (IMF), a balance of policies is critical to maximize AI's potential for societal benefits. Georgieva emphasizes the world stands at the threshold of a technological revolution capable of enhancing productivity, global growth, and income levels. However, she warns that the advent of AI could also lead to job displacement and increased inequality.

The Rise of AI

Artificial Intelligence is poised to influence nearly 40% of jobs globally, transforming the employment landscape. According to Kristalina Georgieva, Managing Director of the International Monetary Fund (IMF), a balance of policies is critical to maximize AI’s potential for societal benefits. Georgieva emphasizes the world stands at the threshold of a technological revolution capable of enhancing productivity, global growth, and income levels. However, she warns that the advent of AI could also lead to job displacement and increased inequality.

Economic Impact

The swift progress of AI technology has taken the world by surprise, generating significant questions about its economic repercussions. Predicting AI’s net effect is challenging as it will influence economies in multifaceted ways. Georgieva’s comments underscore the necessity for countries to establish policies that safely harness AI’s capabilities. Several studies have estimated the probability of AI-induced job replacements, though many also predict AI will complement human labor in numerous instances. One remarkable insight from the IMF’s analysis reveals that nearly 40% of global employment is vulnerable to AI intervention.

Exposure Variability

Historically, automation and information technology have primarily targeted routine tasks; AI, however, stands out due to its impact on highly skilled occupations, posing greater risks and opportunities for advanced economies compared to emerging markets and developing countries. In advanced economies, around 60% of jobs might be affected by AI. About half of these positions could benefit from AI integration, leading to enhanced productivity. Conversely, for the remaining half, AI applications could undertake core tasks currently managed by humans, potentially reducing labor demand, wages, and employment levels, with some jobs possibly vanishing entirely.

Inequality Concerns

Emerging markets and low-income nations show lower AI exposure rates, projected at 40% and 26%, respectively, suggesting less immediate disruption. However, many of these countries lack the infrastructure or skilled workforce to leverage AI benefits, heightening the risk that AI could ultimately exacerbate inequality between nations. Within countries, AI can also intensify income and wealth disparities. Workers proficient in using AI are likely to witness an increase in productivity and wages. Research indicates that AI can help less seasoned employees boost their productivity more rapidly, with younger workers more likely to seize opportunities, while older workers might struggle to adapt.

Labor Market Dynamics

The influence of AI on labor income depends significantly on how well it complements high-income workers. If AI substantially aids these employees, it could result in uneven increases in labor income. Moreover, businesses applying AI are poised to witness productivity gains, which may increase returns to capital and favor those with substantial investments, further exacerbating inequality. In most scenarios, AI is expected to amplify overall inequality, a troubling trend policymakers must address proactively to prevent technology from exacerbating social tensions.

Policy Implementation

To make the AI transition more inclusive, countries must establish comprehensive social safety nets and retraining programs for vulnerable workers. The IMF has developed an AI Readiness Index to help countries design effective policies. This index measures readiness across various areas, including digital infrastructure, human capital and labor market policies, innovation, and economic integration. For instance, the human capital and labor market policy component evaluates aspects like education years, labor market mobility, and the proportion of the population covered by social safety nets.

AI Readiness

The regulation and ethics component examines the suitability of a country’s legal framework for digital business models and the presence of robust governance for effective enforcement. Using this index, IMF staff assessed the readiness of 125 countries, revealing that wealthier economies, including some advanced and emerging market economies, are generally better prepared to adopt AI than low-income countries, though significant variation exists among nations.

Steps Forward

Singapore, the United States, and Denmark scored high on the index across all tracked categories. The IMF advises advanced economies to prioritize AI innovation and integration while developing comprehensive regulatory frameworks. For emerging markets and developing economies, the primary focus should be on establishing a sturdy foundation through investments in digital infrastructure and developing a digitally competent workforce.

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