As we are heading into a world of more automation and artificial intelligence the drawbacks that future students might face is finding a career in this automated world where some jobs will be scaled back such as manufacturing. I referenced a article about artificial intelligence and it point number 4 reference this topic. I hope this will help to give better insight about the drawbacks but also the positive outlook as well.
"More jobs will be created by AI than will be lost to it.
As I mentioned in my introduction to this post, in the long-term its uncertain if the rise of the machines will lead to human unemployment and social strife, a utopian workless future, or (probably more realistically) something in between.
For the next year, at least, though, it seems it isn’t going to be immediately problematic in this regard. Gartner predicts that by the end of 2019, AI will be creating more jobs than it is taking.
While 1.8 million jobs will be lost to automation – with manufacturing in particular singled out as likely to take a hit – 2.3 million will be created. In particular, Gartner's report finds, these could be focused on education, healthcare, and the public sector.
A likely driver for this disparity is the emphasis placed on rolling out AI in an "augmenting" capacity when it comes to deploying it in non-manual jobs. Warehouse workers and retail cashiers have often been replaced wholesale by automated technology. But when it comes to doctors and lawyers, AI service providers have made concerted effort to present their technology as something which can work alongside human professionals, assisting them with repetitive tasks while leaving the "final say" to them.
This means those industries benefit from the growth in human jobs on the technical side – those needed to deploy the technology and train the workforce on using it – while retaining the professionals who carry out the actual work.
For the financial services, the outlook is perhaps slightly grimmer. Some estimates, such as those made by former Citigroup CEO Vikram Pandit in 2017, predict that the sector's human workforce could be 30% smaller within five years. With back-office functions increasingly being managed by machines, we could be well on our way to seeing that come true by the end of next year."