A Summary of Automation and Job Related Impact and Solutions

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So regarding the future of technology and the ability to automate human tasks and even entire jobs there are really two dominant positions that people have held over time so one is the historical perspective which really falls in line with the idea of creative destruction and the perspective that rose from the late movement in the eighteen hundreds that of technological unemployment so in a two thousand fourteen questionnaire by the Pew Research Center there were well over two thousand known experts in the field of technology that were questioned on which side of this argument. They fell on either the creative destruction side or the technological unemployment side so the chief scientists of salesforce dot com vice president of Google and the principal researcher for Microsoft were among those interviewed so forty eight percent of all the experts envisioned a future of technological unemployment in which robots and digital agents have displaced significant numbers of both blue and white collar workers with many expressing concern that this will lead to vast increases in income inequality masses of people who are effectively unemployable and breakdowns. In the social order on the other side though fifty two percent expected a future of continuous creative destruction where technology will not displace more jobs than it creates by twenty twenty five so this group anticipated that many jobs currently performed by humans will be substantially taken over by robots or digital agents by two thousand twenty five but they have faith that human ingenuity will create new jobs industries and ways to make a living just as it has been doing since the dawn of the industrial revolution. So this is just one example of a clear divide between the possible futures but I think represents discussions and debates that are ongoing by many people and shows why think a podcast that explores these ideas is so important today but what about the technologies that will be doing the future disruptions so I started this podcast by looking at artificial intelligence as it is seen as the technology with the most potential to impact the way that we work so we currently have many examples of narrow a I think of examples like Alpha. Go that is able to defeat any human chess or go player as well as many other online competitive games or a system built in San Francisco by it company called and Lick where it was a fifty percent better at classifying tumors. Compared against three expert human radiologists working together. So we can see that the industry as of at least two thousand eighteen was worth about one point two trillion. Us dollars an estimated to reach up to around four trillion by twenty twenty two and with it it has generated a significant amount of jobs focused on building and improving the technology as well as the business cases and applications for its use so current narrow. Ai also augments people's capabilities in what has been termed center teams. This is where humans work beside AI. Applications to improve the quality of work done so the radiologists example actually enables the human health care worker to focus on other tasks that can lead to more patient care and human to human interaction but the ultimate goal in some ai circles is artificial general intelligence which has the capacity to understand or learn any intellectual task that a human being can so specifically once a artificial general intelligence or agi comes about. It is entirely possible that human creativity ingenuity and even capacity for reason will be made completely inferior much like our chess skills of today so this could apply to music and even the arts in general where. Ai Systems are already composing music and designing drawings. So if taken to its logical conclusion we would be hard pressed to think of a place where humans would be relevant or even needed anywhere for employment purposes at all so robots also play a large role in this discussion especially as they are more physical and tangible than a digital ai algorithm there are now some two point five million industrial robots in use across the world with the numbers being assault actually increasing every year. So four hundred thousand were installed in two thousand eight alone and the numbers are expected to be much larger in two thousand nineteen When those numbers come out so repetitive manufacturing jobs are the hardest hit with the adoption of industrial robots. As these metal workers are able to work twenty four and don't need any breaks holidays or sick leave which leads to drastic increases inefficiencies but service robots on the other hand have gone over sixteen million units sold across the world and are composed of a robot. Vacuums autonomous guided vehicles drones EXO skeletons etc so overall service robots tend to augment human worker capabilities which leads to the transformation of jobs rather than their elimination for example elder care. Robots and agricultural inspection drones are good examples. Where the technology helps employees with specific tasks autonomous guided vehicles or. Hiv's however have been put to use within logistic centers as walls warehouses to create. What are called lights out or dark? Warehouses or humans are being completely removed to allow for streamline workflows in the dark and without heating so the number of expenses actually decreases as well and they're not a traditional robot three D. printing or additive manufacturing technologies. Also hold great promise to shorten supply chains by enabling something called on demand as well as on location production of really customizable products. So the interesting part of Three D. Printing I think is that many different materials can also be used allowing traditional manufacturing to be disrupted but also healthcare and construction as both organs and even houses can be essentially printed in shorter periods of time with much greater accuracy so moving on Autonomous Vehicles. Perhaps one of the most popular emerging technologies also has one of the largest autonation potentials of many technologies simply because one of the main jobs across the world which is held by millions has to do with the transportation of both people or goods so taxi and truck drivers delivery workers Boat and train captains and even pilots as well as all the supporting businesses around transportation vehicles are essentially under threat of becoming obsolete within the next decade so though passenger cars require the strictest testing do the of course close interaction with an urban population. We already see examples of fully automated trains boats trucks and planes already being implemented so many of these autonomous vehicles still have humans monitoring them in case of an emergency but in some cases only one human employees who is monitoring is required for a small fleet of vehicles which leads to question what will happen to current employees wants. This technology is implemented so both virtual reality and augmented reality are emerging technologies and are already impacting jobs by helping with the training and reskilling of employees so the VR training course has already been shown to be as comparable as an analogue or real life course when it comes to learning and retention of the information but what is perhaps even more interesting right now is that specifically VR is going to possibly open up an entirely new space where people can interact and communicate and exchange services leading to potentially new economies that are purely

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