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Task-interdependencies between Generative AI and Workers



Another eye-opening 🤯 article on generative AI from Emmanuelle Walkowiak / ScienceDirect.com's Economics Letters, which has been a staple on my Top 5 📚 reading list for years.

The Letter aims to decipher the process of task allocation between workers and #GAI, taking into account task inter-dependencies and interactions between workers and GAI. 👥


The widespread adoption of #GenerativeAI has significant implications for the future of work. According to a 2023 study by Eloundou et al., 80% of the U.S. workforce could be affected, with nearly 20% of workers having half their tasks impacted.

This new era ushers in two key trends:

1) Technological superclusters that operate without human input, presenting new competitive and regulatory challenges.

2) The rise of solo entrepreneurs using GAI in niche markets, heralding innovative free-lancing innovations without employing any workers.


It's a lengthy read, but invaluable for anyone looking to grasp the profound influence of #GenAI on the job landscape.



Download Full Issue

Task-interdependencies-between-Generative-AI-and-Worke_2023_Economics-Letter
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