Real world Economics: AI Might Automate Tasks but not as Many Human Jobs

MIT: "Beyond AI Exposure: Which Tasks are Cost-Effective to Automate with Computer Vision?"

Hey Everyone,

I’ve been watching a lot of economists and technologists ponder the impact of AI on jobs and it impacts software engineers and data engineers as well, including even machine learning researchers and scientists.

And I think this is worth dipping our curiosity into.

• Neil Thompson along with Maja S. Svanberg and Wensu Li from the MIT FutureTech, Martin Fleming from The Productivity Institute, and Brian C. Goehring from IBM's Institute for Business Value, have published a new article.

• This article introduces an innovative AI task automation model. It offers an end-to-end assessment framework, focusing on determining the necessary technical performance for tasks, defining the characteristics of AI systems capable of this performance, and making economic decisions about their development and deployment.

The Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Laboratory (CSAIL) conducts research in all areas of computer science and AI, such as robotics, systems, theory, biology, machine learning, speech recognition, vision and graphics.

According to a study by MIT, it might not be so likely that AI is coming for your job. At least not in the way conceived in 2023 by the likes of Goldman Sachs, OpenAI itself and others.