On The Night Edit, Senator Mike Braun, R-Indiana, addresses the escalating concerns surrounding automated systems.
In the past year, the swift progress in artificial intelligence has generated numerous discussions and speculations regarding which occupations are most susceptible to displacement by these powerful systems. However, a recent study delved into the regions in the United States that face the highest risks from AI and identified the nation’s financial hub as the most vulnerable.
A recent study by the job search engine Salarship ranked U.S. states and territories based on their susceptibility to AI in terms of job quantity and percentage lost.
States with larger populations were found to be the most exposed to AI risks, with California leading the pack with 5.3 million jobs at stake, followed by Texas (4 million), Florida (2.95 million), New York (3.87 million), and Illinois (1.8 million).
Interestingly, the District of Columbia emerged as the top contender in terms of the percentage of jobs at risk, with a staggering 32.56% of positions in jeopardy of being automated by AI.
According to recent research, Washington, D.C., faces the highest proportion of job losses to AI among all U.S. cities, primarily due to its extensive bureaucracy, employing over 60,000 business and administrative professionals who are highly susceptible to AI disruption.
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Puerto Rico, with 32.18% of its jobs under threat, secured the second spot in terms of risk percentage. The island heavily relies on sales-related work, particularly in the tourism sector, making it vulnerable to AI advancements that could potentially automate half of these tasks, including customer support.
Artificial Harms BLUE-COLLAR JOBS AS WELL.
Delaware, facing a 31.76% job loss rate, ranked second in the susceptibility index. The state’s appeal to financial companies might be overshadowed by AI’s potential to replace economic operations-related roles.
Lastly, Arizona, with a 31.64% job loss rate, stood out as another state with significant exposure to AI risks, particularly in legal, financial, and managerial occupations that are deemed easily replaceable by AI technologies.
