After major breakthroughs in the field of artificial intelligence in recent years, AI is quickly becoming an everyday presence in people’s lives. The release of generative AI tools like ChatGPT, DALL-E 2, and Stable Diffusion in 2022 captured public attention and demonstrated AI’s potential in intuitive ways. In response, tech giants like Microsoft, Alphabet, and Meta are racing to incorporate new AI technology into their popular products.
Despite the exciting possibilities for AI and machine learning, these emerging technologies have also raised fears of job displacement. These tools have the potential to perform many tasks that were previously thought to be more difficult to automate, from design to customer service to computer programming.
But concerns about automation are nothing new, and history has shown that while technological innovation does eliminate some jobs, it also frequently creates new roles requiring different skill sets. For instance, digital automation from the invention of computers and the internet made many production and clerical occupations obsolete. At the same time, the digital revolution created well-paid jobs for highly educated analytical workers who understand and know how to leverage new technology.
In today’s digital economy, these types of analytical jobs have become increasingly important and are likely to remain so as more businesses rely on technology. Twenty years ago, analytical workers—defined as those in occupations that rank in the top 50% for O*NET’s Critical Thinking index—represented 29.4% of workers in the economy. That figure today is 33.8%, down slightly from its 2020 peak of 35.6%.
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