Generative AI tools like ChatGPT are driving the trend towards AI-driven automation. While many fear job losses, the impact of generative AI is more likely to be job augmentation rather than job displacement. A McKinsey report predicts that by 2030, 30% of hours currently worked in the US economy could be automated. However, only around 20% of jobs are considered “highly exposed” to generative AI automation. Jobs like customer service representatives face a higher risk of displacement, but tasks requiring human judgment and empathy will still need human intervention. On the other end of the scale, many jobs, such as teaching, healthcare, law, and software development, will integrate generative AI tools to automate repetitive tasks so that humans can focus on aspects that require uniquely human skills. In summary, rather than fearing job losses, individuals should examine their job roles to identify how generative AI could augment their work.
Discover how generative AI is more likely to augment jobs rather than replace them, transforming tasks and creating new opportunities for efficiency and innovation.
About Me
Digital transformation, including agile and devops, across many industries, most recently in higher education. Designed and built the Emory faculty information system. Working in continuing education to improve and expand career-focused learning, esp. in workforce development. Expanding the role of innovation and entrepreneurship. Designed, built, and launched the Emory Center for Innovation.
Recent Posts
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- It’s going to take a century for artifical intelligence to be able to perform most human jobs. But there are going to be some key developments during the next decade.
- Many businesses are not yet prepared to fully reap the benefits of AI.
- Rose-tinted predictions for artificial intelligence’s grand achievements will be swept aside by underwhelming performance and dangerous results.
Favorite sites
- Daring Fireball
Favorite podcasts
- Manager Tools
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