Target recently announced plans to cut 1,800 corporate jobs, showing how even major companies are reorganizing to stay competitive. Incoming CEO Michael Fiddelke said the company had “too many layers and overlapping work,” which slowed decisions. Target claims the cuts aren’t about saving money but about improving efficiency. But it’ll be interesting to see if that’s really the case, especially given their profit declines over the past year. After a rough 2024, this move appears aimed at rebuilding confidence and positioning the company for a stronger future.
Still, these layoffs highlight a bigger trend in today’s economy. Companies want to appear “leaner” and more tech driven, but that often means fewer people doing more work. If this push toward automation keeps growing, it could reshape not only what corporate jobs look like but also how many exist in the years ahead.
I'm really interested to see if the technological improvements in AI will truly increase efficiency for businesses. Of course, the idea of greater output with less human capital sounds nice, but at what point does the opportunity cost of potential AI errors outweigh the benefits?
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