New research from the Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Laboratory challenges previous predictions, suggesting that the impact of artificial intelligence on employment and automation may be slower than expected. The study focuses on the field of visual analysis, such as quality inspection on production lines, and finds that while certain tasks can be automated using AI, the economic appeal of automation is relatively low. Taking the job of a baker as an example, the research reveals that the costs of deploying simple AI systems far exceed the actual wage savings achieved through automation, making the employment of humans still more economically viable.
