AI Will Take 45 Million U.S. Jobs By 2030

As many as 45 million jobs in the United States could be lost to AI by 2030. In June 2023, about 160.99 million people were employed in the United States.

The unemployment rate is calculated by dividing the number of unemployed people by the total number of people in the labor force. So, if 45 million people lost their jobs, and the total labor force was 164.5 million people, the unemployment rate would be:

(45,000,000 / 164,500,000) * 100 = 27.6% 

This would be the highest unemployment rate in the United States since the Great Depression.

The jobs that are most likely to be lost to AI are those that are repetitive, routine, and require a high degree of accuracy. This includes jobs in manufacturing, customer service, and transportation. However, AI is also capable of automating some white-collar jobs, such as those in accounting, law, and medicine.

The loss of jobs to AI will have a significant impact on the workforce. Many people will need to retrain for new jobs, and some may even be forced to retire early. However, AI is also creating new jobs, such as those in software development and data science. The challenge will be to ensure that everyone has the opportunity to benefit from the new economy.

Here are some of the industries that are most at risk of job losses due to AI:

• Manufacturing
• Transportation
• Customer service
• Retail
• Administrative
• Legal
• Accounting
• Medicine

It is important to note that these are just estimates, and the actual number of jobs that are lost to AI could be higher or lower. The impact of AI on the workforce will also depend on the way that businesses and governments respond to it. If businesses invest in retraining programs and create new jobs, the impact of AI could be less severe. However, if businesses do not take action, the loss of jobs could have a significant impact on the economy.