ML can handle things at scale (not just speed, number of data points) that humans can't. Imagine a classification problem with 1000 dimensions -- humans can't

ML can handle things at scale (not just speed, number of data points) that humans can't. Imagine a classification problem with 1000 dimensions -- humans can't keep in working memory that many entries. Granted, many of these are trivially solvable if you can scale them (e.g. human with a computer but no AI/ML), but scale is an important component. It's kind of like how metadata isn't that big of a deal until you have enough of it.