If all postion were paid equally,how much would Australia spend on wages for unpredictable physical work per month $?$ a$.$ $$85$ billion, b$.$ $$1,1$ billion, c$.$ $$12$ billion, d$.$ $$18$ billion, e$.$ $$81$ billion preparing for Automation The possibility of having robots or Ask any expert and you can almost certain industries. like waste management, mechanical assistants completing our guarantee that they will inform you that an industry with a billion salary bill in laborious, data reliably point to the conclusion Australia, where many humans are currently day $-$todangerous, or repetitive years ofday tasks has long been a thatautomation has always created more paid 'hazard pay' to dodangerous but dream ofhumanity. Now, as Robotic jobs than it has removed. The invention of repetitive tasks, is seen as the Australian Process Automation $($RPA$)$ becomes the plough has allowed us to stop working industry with the highest potential for commonplace, this dream $-$or concern, on farms and technology has continued in automation. depending on viewpoint$-$ is getting this fashion, boosting productivity and, in closer. turn, providinggreater work satisfaction and As we begin to enter this FourthIndustrial RPA. far from thewalking, talking android improved living standards. Revolution, it is becoming apparent that commonly found in science fiction series, It is currently estimated that of roles could two clear groups: those who are using basic can be thought of as a programmable piece be entirely automated using the technology digitisation to support their business. and of software which $.$ through using a series of we have available to us now. By $2025$ thisthose who have re $-$ examined the way they rules, will complete repetitive tasks with a will have risen to around $35\backslash \%.$ by $2030$ it do business and integrated combinations of lower error rate and less interruption than will be at and by $2080$ scientists are technologies, including RPA, to great effect. to free up humans from the monotony of of current jobs. A more astonishing figure embrace RPA? The answer is not clear but, roles like data entry. stock management and is the of roles which could be made looking at those who havebenefitted from predictable physical work, to focus on more more efficient, more productive, and more this technology already, preparation for critical. unpredictable tasks such as decision enjoyable through automating individual automation will be key. making, interpreting, and delivering insight tasks within the wider role. This is not spread to customers. $"$By $2080$ scientists are predicting advanced evenly across industries. however of current iobs" The rise ofartificial intelligence $($Al$)$technologies will have replacedautomation has been hailed as automation has been hailed as the solution to all of society's ills by the tech elite. By removing the 'human element' from the job, the thinking goes, we can produce more, faster, better and cheaper. The problem with this is that the 'human element' here is$,$ well, human. By removing people from these roles, we are looking at creating de $-$ employment on a massive scale. There is little we can do to stop the advance of this technology and it is all coming at too quick a pace for regulators to account for. We already see evidence of a lack of opportunity to work in our society. People working in Australia are now working an average $20\mathrm{.}3$ hours a week when holidays are taken into account. They are earning an average of a week. Australia currently has an unemployment rate of with $636700$ people currently unemployed. Tech analysts are predicting that we will lose of current jobs in the next $7$ or $8$ years. Population increases year on year of will further compound this issue. All of this leads one to ask, what will people do for work in anautomated future? So$.$ what will a post $-$automation society look like? By separating capital generation comletely from labour, we are set to embark on an age of mass unemployment, the likes of which we have never seen. Mass unemployment is likely to create large proportions of our society without a productive outlet or sense of identity, as well as widening the gap between rich and poor. This future could be a very bleak one indeed. Robotic ProcessAutomation $-$Where does it fit in$?$ Automated Processing TextGeneration and Learning Higher $-$Level Thinking RoboticProcess Automation $($RPA$)$Natural Language Generation $($NLG$)$ Intelligent 'Chat$-$ Bots'Used for rules $-$ based, simple,repetitive processes Used forconverting data into naturalAutomates interactions onlinelanguage text Encourages:Encourages: $-$ Faster handlingtime Used in: Learning fromindividual customers Highervolumes Generating formletters and creating stories basedon data Used in: Reducederrors and costs $-$ RetailUnstructured Data Conversion Machine Learning IntelligentAssistance Asks questions to findpatterns in data and Learns fromcause and effect analvsis Learnsfrom stimuli as new scenarios areconverts the unstructured intostructured presentedEncourages: Encourages:Forecasting Encourages:Greater data miningDecisionmaking $-$ Additional consultation$-$ Work with unusual forms ofdata Used in: Used in: Used in:$-$ Financial forecasting $-$Medical diagnosis $-$ Convertingemails, contracts and receiptsinto structured data Likelihood of emails, contracts and receiptsinto structured data Likelihood of industries becoming automated in the future Proportion of jobs and their risk of automation. Note: the graph shows a linear decrease in the proportion of jobs at risk of full automation.