Quantity swamps quality

Every now and then I have to review a lot of CVs. What is increasingly striking is the sheer quantity of "line items": papers, grants, citations, talks, seminars, Ph.Ds supervised, public outreach activities, referee activities, committee service, conference organisation, .....
Sometimes teaching, particularly of undergraduates, is almost an afterthought.

One concern is the difficulty of evaluating the quality of this hyperactivity.
This is why metrics are so seductive, particularly to the non-expert.
But even if you want to give some weight to numbers of papers, journal "quality", total research funding, ... I think they are quite hard to interpret.
In some research areas,  papers often have ten authors, and so it is very difficult to know an individual's contribution, even if they are first or last author. I increasingly encounter statements such as "Since I became a faculty member ten years ago I have attracted $7M of external funding". This sounds very impressive. However, once you look at the details you find a mix of grants with long lists of CIs, such as infrastructure grants. Again it is not clear whether the individual was really that central to many of the grants.

Another concern, is I am skeptical that these "highly productive" people have the time, energy, and focus needed to think deeply, work on challenging and ambitious projects, and produce much that is scientifically significant. Quantity crowds out quality.

Finally, it worries me that for many of these people the "system" seems to be "working" for them, i.e. they are getting jobs, promoted, funded, ...

Now I do concede that in some cases I do not have the expertise to fully appreciate the significance or value of what people are doing. However, I fear that is the exception, not the rule.

If my concerns are legitimate, what is the way forward?
If assessing, it is very important to have people involved who have the necessary expertise to critically and fairly evaluate the quality of people's individual scientific contributions. This means asking for and reading letters of reference, and actually reading some of their papers. Neither is infallible but it is a lot better than bean counting.

It is possible for individual fields to preserve a culture of quality taking precedence over quality. For example, in pure mathematics and economics, you will find that "publication rates" can be almost an order of magnitude lower than in physics and chemistry.

On the practical side, you might also consider editing and shortening your own CV so the signal to noise ratio is higher.

Finally, I hope you will personally resist uncritically following this rush to mediocrity.

Is my concern legitimate? If so, what are the ways forward?