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Generative AI Threatens 838 Million Jobs Worldwide

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Artificial Intelligence
Artificial Intelligence enhances productivity and innovation across the globe. [DailyAlo]

Artificial intelligence is advancing at an incredible speed, and it is coming for the global workforce. According to a new report from Bank of America, nearly 1 in 4 jobs worldwide face direct exposure to generative AI. Using data from the International Labour Organization, economists estimate that roughly 838 million positions could undergo significant changes or be eliminated in the near future.

The data reveals a very clear demographic divide. A team of economists led by Benson Wu at Bank of America stated that younger workers, women, and highly educated employees face the absolute greatest risk. These specific groups often hold jobs that require processing information, writing reports, and analyzing data—exact tasks that modern artificial intelligence performs incredibly well in just a few seconds.

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The threat level changes drastically depending on where you live. High-income countries, where office jobs and non-routine cognitive work dominate the economy, see the highest risk. In these wealthy nations, exactly 33.5 percent of all jobs are exposed to AI. On the other hand, the figure drops to just 11 percent in low-income nations, where manual labor and physical farming jobs remain the primary source of income for most families.

While wealthy economies face the biggest job disruptions, they also stand to gain the most money. Bank of America predicts these rich nations will capture massive productivity gains as companies adopt the new technology. However, the wealth will not be evenly distributed. The economists warned that the massive tech firms currently building the AI infrastructure will likely take a disproportionate share of those financial gains, leaving everyday workers fighting for the scraps.

The sudden rise of smart software has triggered widespread fears of mass unemployment across America’s office cubicles. People worry that computers will simply replace human workers entirely. However, economists argue that these doomsday scenarios do not match historical evidence or basic economic theory. They remind the public that past technological shifts, like the Industrial Revolution or the birth of the internet, destroyed specific jobs but eventually created thousands of brand-new professions that nobody had even imagined before.

Despite the optimistic historical view, a recent report from Goldman Sachs paints a much darker picture for the immediate future. Goldman Sachs analyzed 4 decades of federal data, tracking over 20,000 Americans born between the 1950s and the 1980s. The researchers focused specifically on workers who lost their jobs to past technological waves, such as telephone operators replaced by automatic switchboards or typists replaced by personal computers.

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The findings look incredibly grim for workers facing AI displacement today. The Goldman Sachs researchers discovered that people displaced from their jobs by new technology suffered severe short- and long-term economic pain. Compared with people who lost their jobs in more stable industries, technology-displaced workers took exactly 1 month longer to find new employment.

Finding a new job did not solve their financial problems either. Once these displaced workers finally landed a new role, they suffered a real earnings loss of exactly 3 percent compared to their old salary. Meanwhile, their peers who lost jobs in industries unaffected by technology saw almost zero negative impact on their future paychecks.

The financial damage actually gets worse over time. In the full 10-year period after losing their initial jobs, workers from technologically disrupted fields saw their real earnings grow by nearly 10 percentage points less than those of workers who never lost a job in the first place. Furthermore, their earnings grew at a rate 5 percentage points slower than those of workers who lost jobs in non-tech industries.

The Goldman Sachs report points to a specific cause for this long-term financial pain. Experts call this process occupational downgrading. When a new technology suddenly learns how to do your job faster and cheaper, the specific skills you spent years building instantly lose their value in the open market. Without valuable skills to trade, companies push these displaced workers toward lower-paying roles that require far less education or experience.

As artificial intelligence continues to learn to write computer code, draft legal documents, and create marketing campaigns, millions of highly educated office workers now face the same threat of occupational downgrading over the next 5 to 10 years.

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