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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