AI Employment

Let's delve into the impact of Artificial Intelligence (AI) on employment.

Occupations Most Exposed to AI:

High-skilled, white-collar occupations (such as business professionals, managers, science and engineering professionals, and legal professionals) have been most exposed to advances in AI.

Unlike previous automating technologies, which primarily affected routine tasks performed by lower-skilled workers, AI focuses on non-routine, cognitive tasks.

Employment Trends:

Over the period 2012-2019, greater exposure to AI was associated with higher employment in occupations where computer use is high. Workers with strong digital skills can adapt to and use AI effectively.

However, higher exposure to AI is associated with lower growth in average hours worked in occupations where computer use is low.

The adoption of AI may increase labor market disparities between skilled workers and those without the necessary skills.

Global Impact:

AI could take up to one billion global jobs over the next decade.

Automation may displace between 400 million and 800 million individuals globally by 2030.
By 2025, AI is predicted to eliminate 85 million jobs but create 97 million new ones.

Approximately 47% of U.S. employment faces computerization risk within the next 20 years.

Future Job Market:

By 2025, AI, machine learning, and data analytics are expected to generate around 133 million new jobs worldwide.

However, the global workforce could see up to 14% job losses by 2030 due to AI and automation.

While AI presents both challenges and opportunities, ensuring that workers acquire the right skills to work with new technologies remains a crucial policy challenge.

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