Submitted by trafalgar28 t3_10md35s in singularity
A recent survey by Gartner found that 64% of IT professionals think the skills shortage is the biggest barrier to the adoption of game-changing technologies like artificial intelligence (AI). A separate survey of banking, insurance, and telecoms professionals published by SunTec found that the difficulty in recruiting skilled staff is the biggest obstacle to achieving business goals in 2022. Research published recently by Intel found a surprising lack of understanding around some of the most important technology trends, which are widely forecast to drive business success over the next ten years. It particularly found deficiencies in the understanding of AI, cybersecurity, and quantum computing. The report focuses on the UK but will be equally relevant to other developed countries – and it seems likely the problem will only be more pronounced in developing countries.
Why is there a digital/tech skill gap despite having the availability of so many resources to learn, and work on real-world projects (open source)?? Or is this simply the Dunning-Kruger effect??
Bierculles t1_j62whbf wrote
This is partly on the corporations themselfes, everyone wants to hire the experts, but no one wants to train them. Quantum computing, cybersecurity and AI barely have a field of study or any university courses, or at least not on a level where it would be relevant for companies that pioneer those fields. There isn't a skillgap, there is a gap in the willingness to train people in those fields because it costs a lot of money.
You can't really teach a lot of this stuff at universities because by the time you finish your degree, the stuff you learned is allready mostly obsolete. For comparison, a degree in computerscience specialized in AI you finished in 2016 is absolutely and completely worthless now in the current AI industry, none of the stuff you learned has even a bit of relevancy anymore.
This is also caused by the ever accelerating pace of scientific progress. For example in AI, there are no experts outside of the teams that actually work on projects like GPT-4 or whatever google is doing. Anyone and everyone who actually knows their stuff works for the AI companies. those who do not have mostly outdated knowledge because a knowledge gap of just two years is gargantuan in that field.
This are just my two cents though, so take it with a grain of salt. My only real source for this is the internet and a friend who works in cybersecurity. He told me one of the biggest issues they have is, if he wrote a book on cybersecurity and how to truly secure a server, 6 months after it got published, most of the information would be obsolete because people would have found ways around it or found holes in systems that were considered secure by the time the book was written. Training someone the conventional way in cybersecurity would be like showing up in Ukraine now with WW2 tanks after he finished his degree. Even with a degree they will still need years of training in the specific field they want to work in. i'm not saying degrees are useless in those fields, they are just the starting point and training someone with a masters degree for 5 years before he even becomes actualy usefull is pretty expensive, an expense a lot of companies do not want to make, they want to hire the pros from other companies that have already been in the field for years because it's cheaper.
It's the common problem of entry level jobs need 5 years of experience. Some fields are hit pretty fucking hard by this problem.
TL:DR: Everyone wants to hire skilled personel, nobody wants to train skilled personel.