Five things to know about white-collar jobs under threat from robots
It's not just manufacturing or process-oriented jobs under threat from artificial intelligence
It's not just manufacturing or process-oriented jobs under threat from artificial intelligence Doctors: Placing your personal health in the hands of a machine? That’s seems to be the way the industry is going – certainly at the rudimentary, sniffle-and-ache end of the malady spectrum. Basically, as the world’s population grows, it’s going to be impossible for everyone to see a health professional, so diagnostic machines will be the triage nurses of the future. Bank tellers: There probably aren’t too many people out there willing to ask a robot for an overdraft extension – the empathy deficit and all that – but it seems that banks are already looking to roll out basic over-the-counter functions to AI. The UK’s Royal Bank of Scotland is already planning to use Luvo, an AI-powered tool that can deal with lost cards and forgotten pin numbers. Accountants: Accountants might also need to look over their shoulders soon. Machine learning will prove to be much better at the rudimentary tasks of data inputting, accounts payable and other spreadsheet-able tasks. This has the potential to extend to the more nuanced world of auditing and German-Polish start-up SMACC are now leading the charge. Salespeople: Probably not the used-car variety, or anything that requires much in the way of pot-sweetening negotiation, but there are a lot of sales functions that can and will be done by robots in the near future – especially the process parts such as quotes, order fulfilment and payments. So, you’d better work on those personal relationships to stay relevant. Journalists: So, articles like this might not be crafted by insightful, almost impossibly talented wordsmiths in the future? Yep, machines fed with syntax and grammar structures will see to that. The Washington Post, for instance, has already experimented with their Heliograf software. Drier report writing – extracting and contextualising data – might be here sooner.