Generative AI For The Rest Of US

Will AI Take Over Your Job?

McKinsey's report predicts that integrating AI will significantly accelerate the automation process. Predictions suggest that up to 29.5% of labor hours in the US economy could be automated by 2030, a substantial increase from the 21.5% predicted without AI. This move towards automation affects not only physical or repetitive jobs but also sectors that require creativity, specialized knowledge, and interpersonal communication.

Goldman Sachs Research on the rise of Generative AI forecasts a profound transformation in employment landscapes worldwide. It implies that advances in AI could make up to 300 million full-time jobs susceptible to automation over a 10-year period. According to this evaluation, which is based on a review of over 900 occupations, almost two-thirds of employment in the United States may be at risk of automation to some degree. A significant portion of work on this spectrum - ranging from a quarter to a half - could possibly be automated.

Forrester predicts that by 2030, people with annual salaries less than $60,000 will be less impacted by Generative AI than those earning $90,000 or more. "Let’s Be Clear: Generative AI Is Coming After White Collar Jobs" is the title of a section from the report that sorts jobs by their susceptibility to automation. Here is a breakdown of the categories from the most to the least susceptible:

• Legal occupations
• Life, physical, and social science occupations
• Office and administrative support occupations
• Computer and mathematical occupations
• Healthcare practitioners and technical occupations
• Architecture and engineering occupations
• Business and financial operations occupations
• Arts, design, entertainment, sports, and media occupations
• Management occupations
• Educational instruction and library occupations
• Food preparation and serving related occupations
• Sales and related occupations
• Healthcare support occupations
• Personal care and service occupations
• Farming, fishing, and forestry occupations