I often see PhDs filling roles that really do not require a PhD. Does that mean that the PhD was a waste? No, not necessarily, but was it the best allocation of resources?
When I look at a resume and I see that someone has a PhD and has published a few papers I am much more comfortable hiring them. They almost definitely know how to approach a large writing project and break it up into smaller pieces. They've had training in how to work on large writing projects and they have atleast 1 experience of doing so and finishing it. Of course I've encountered PhDs that are terrible writers, but they're an anomaly.
I doubt this transfers well into other fields or positions where writing matters less. Most programming positions don't require strong writing skills, for example. All other things being equal, when I am hiring I prefer PhDs over non-PhDs, because in my experience they're better writers.
The other half of this is many people put PHD’s at the bottom of the pile as a sign of poor judgement, or just anti intellectual bias. Which plays into why employing PHD’s is so affordable.
Fortunately, not too many of those folks are being graduated. http://statista.com/statistics/185353/number-of-doctoral-deg... Although still probably 10x+ the number that the economy can actually support in relevant roles.
This is true of any degree.
Now I moved to AI and PhD research, learning, teaching and communication skills still help
Would these positions have existed as experienced Bachelor's positions before? would companies have directly trained industrial researchers?
This diagram neatly sums it up. http://matt.might.net/articles/phd-school-in-pictures
It's the equivalent of learning to code, learning a modern library or framework and its best practices, and then adding a bug fix or new feature.
Why do they have so many more PhDs now? Because PhDs are a now a dime a dozen, not because a PhD itself is valuable. The opportunity cost of a PhD is four years of lost income during prime employment age, plus extra student loan debt.
Even with a higher salary (and higher tax burden), it's not clear that you come out on top during your lifetime. If you don't come out on top, it's a waste, unless maybe these years you spent doing your PhD were the best years of your life (probably not).
Because these jobs are researcher jobs, and research is a distinct skill-set than what is learned in the typical undergrad and masters program. Could we train researchers in another, more efficient way? Maybe, but PhD program are the current means of training specialized researchers.
> plus extra student loan debt
For researcher jobs, this will almost never be true. The vast majority of STEM PhD students are fully-funded and given a stipend (although usually small). The dynamics of course change if the student has to support other dependents.
> Even with a higher salary (and higher tax burden), it's not clear that you come out on top during your lifetime
For fields like Computer Science, there are many viable and high-salaried career for non-PhDs, so a PhD will likely lose lifetime money. For other fields like biomedical research, then they will probably profit over a full career. But really, people don't do PhDs for the money, people like their fields, they like the university environment, they like being around other researchers, or they like the independence—all of these things can be valuable beyond lifetime salary.
In engineering possibly not. Often tuition is paid for plus a stipend.
>If you don't come out on top, it's a waste,
I don't know. I didn't get a PhD but I did spend a couple of years getting a Masters. I didn't really use what I specifically researched but, who knows, may have helped me get a couple jobs and I enjoyed the time well enough. Of course, engineering salaries tended to be a lot lower then relative to what many CS people today consider normal so I don't think losing out on a couple years salary was a big deal.
The response I heard directly from the head of PPARC (defunct UK research body) 10 years ago was, "so, instead of having us train and produce capable researchers, even if they don't all get faculty positions, you would prefer we cut their numbers?" This was in response to the question, why aren't we funding more permanent positions in proportion to the number of students we're training.
It's not an easy situation to solve. You end up having to trade off permanent positions against students. But in some countries, including a lot of EU countries, training students is a hidden way to prevent unemployment. And would you say that denying willing people a useful education just for less competition for faculty jobs is the ideal outcome? What would the best choice be? Not clear.
When a pie isn't increasing, but the number of people is, things get uncomfortable.
Instead of training and producing large numbers of capable but underemployed researchers, I would definitely spend more on permanently employed researchers. I am certainly not advocating one student per permanent position: some of those excess PhDs will go into important roles in industry, but most will not:
https://theconversation.com/young-educated-and-underemployed...
I might spend more effort on practical Masters degree level education which can fill roles where a PhD really isn't necessary.
We need to have fewer postdocs, and pay them more. We also need to make grad school follow a more regimented timeline, with raises over time, to protect the students' interests.
There's a reason miserable grad students are such a meme, it's a terrible system.
If a world war lasts 4 years, and a typical PhD takes 5 years, which country can more easily spin up research: the one with an excess number of PhDs at the start, or the one which waits for the outbreak of war to fund more PhDs who will graduate 1 year after the war is done?
Yes, some resources are spent on training a PhD who doesn't use it, but there is also a cost to not having enough PhDs available when you need them. If the latter is greater than the former, excess PhDs are optimal.
Perhaps we should initiate some moonshot projects or something to keep the skills sharp. Low pay but you get to do (perhaps self-directed) work on the coolest problems. You would need an army just to process the applications I believe.
If you produce a substantial excess, on the other hand, you can instantly scale up to meet increased demand. It's all about that pipeline.
But yes, moonshot projects can also be utilized so that past PhDs can be kept sharp. Indeed, a huge number of science programs currently do exactly that - society may see little direct benefit to discovering methane in the space around Uranus, but the people optimizing those radio telescopes are pretty nice to have around if you think you'll ever need people to optimize radar systems.
Maybe how we run higher education should be reconsidered too.
That said, even if there were just as many of us as there are faculty at Ph.D. institutions, that would only raise your number who get tenured positions to 2.
The problem of pyramid-scheme, etc. occurs when people don't realize this and enter academia with an expectation of entering the tenure track. I find biomedical academia to be the principal culprit in this academic Ponzi scheme. They require high skilled labor, which they procure in the form of underpaid grad students and permanent post docs. Only a small minority of biomedical faculty care about their students entering the tenure track.
The other set of fields that are bad for post-PhD careers is liberal arts. Mainly because colleges started lots of liberal arts departments to boost enrollment and inflate grades. So the demand is artificial.
On the other extreme is b-school and econ PhDs who almost all enter academia.
Other hard sciences (physics, chemistry, etc.) fall in the middle: it is a struggle, but people end up landing well after PhD. Physics folks get finance, developer, etc. jobs. Chemistry folks are usually absorbed into pharma/chem companies.
Math and engineering academia works pretty well too: almost all engineering PhDs get good R&D/developer jobs that are reasonably high status and pay well. I don't know any super-star PhD in engineering who didn't get a reasonable academic position.
The defense industry is another big employer of math, engineering, and sciences PhDs.
This does not contradict the GP. In field that are stable, the average number of new professors per old professor is 1.