According to a study by Oxford University, about 47 percent of the jobs in the USA become superfluous as digitalisation progresses. In Germany, the Center for European Economic Research estimates that about 42 percent of jobs in Germany will be affected. Nevertheless, the number of university entrants is also rising. Does digitisation of the labour market ultimately mean job loss or job change?
It's a question that doesn't have a blanket answer. However, it is certain that in the past jobs were already partially or completely replaced by other activities. With the boom of the automobile industry from the 19th century onwards, the number of workers at vehicle manufacturers increased, and at the same time the number of farriers decreased. Today we face other challenges, because artificial intelligence, algorithms and robots - the drivers of today's change - do not create new jobs as in the past.
According to the Deloitte Student Monitor, in addition to a good salary, interesting tasks and a pleasant work atmosphere, job security is particularly important for employees when choosing a career. Among other things, technical progress is redesigning those jobs that are highly automated. Here, machines or programs can often work faster, more efficiently and more cost-effectively. A concrete example at this point is the (parcel) transport to the customer by drone, both internally and externally. Similarly, work that is considered dangerous or simply not demanding for humans can be carried out by machines. But there is no universal robot that can do everything and replace everyone, which means that technological change does not necessarily have to be badmouthed.
Just as computing power and storage capacities change, so do job profiles for employees. A first step here is a general open-mindedness towards new technologies and further training. In the future, broad qualification profiles will become increasingly important and ultimately the key factor for professional success. But what developments can be seen already and what else awaits us in the future? We have analysed five top jobs of tomorrow.
Building Information Modelling is becoming increasingly important in the construction industry or at Deutsche Bahn, but the required experts are rare. A BIM Manager creates a digital 3D model that can be accessed by all parties involved in the further process. Employees as well as monetary resources can thus be better planned and deployed. The BIM Manager optimises the corresponding processes and controls the flow of information. As an interface between all project participants, its level of knowledge includes, among other things, linking the reality of the construction site with the CAD model using 3D scanners, drones, 3D printers and modern software. So far, there are only a few providers of further training in this area on the market.
We are also currently looking for exactly these specialists, for our customer Autobahn GmbH des Bundes.
The trash data engineer is expected to become an ambitious profession with medium technology centrality within the next five years. Any data that has not been used in your organisation in the last 12 months and does not show the presumed benefit can still provide valuable insights. Data waste is also meaningful if it is cleaned up. In a world in which we have to deal more and more with ever increasing data volumes, trash data engineers are therefore needed to ensure the quality of these volumes. The job description is mainly concerned with identifying and cleaning unused data in the company and feeding it into machine learning algorithms. The goal of the Trash Data Engineer is to turn trash data into a treasure. The possibilities are almost endless.
Correlating with the topic around cybersecurity, the job profiles of the data steward and the IT security expert move into the foreground. Together with appropriate systems, Data Stewards ensure the protection of customer data and monitor compliance with the company's compliance guidelines. The IT security expert, on the other hand, is responsible for protecting against cyber attacks. He is constantly on the lookout for new solutions and ways to improve existing security systems. Companies and the labor market already have a lack of security experts. As a result, salaries are rising for the few specialists who can also choose a job.
Understanding employee behaviour is a challenging and complex task. The Head of Business Behavior will be responsible for collecting and evaluating behavioral data using biometric technologies in the workplace. As Head of Business Behavior, the analysis of the behavioral data of the employees and the derivation of corresponding development strategies to improve employee engagement, productivity and well-being are therefore part of the requirement profile.
Algorithm bias describes systematic and repeatable errors in a digital system that lead to unfair results. Therefore, Algorithm Bias Auditors will be an important part of the compliance team in the company in the future. Among other things, their tasks include the examination of possible algorithmic bias (ABA). Big data and artificial intelligence will be everywhere in the modern working world and it will no longer be possible to imagine life without them. Over the next 5 years the Algorithm Bias Auditor profession will become increasingly important as they will need to ensure that the algorithms at the heart of AI are fair, legal and representative of the values of the organisation and are 100% ethical.
Socially oriented professions, such as those found in the care or education sectors, however, remain irreplaceable. Nevertheless, they are also subject to change. Especially in education, the magic word is digital revolution. Homeschooling in Corona times was already a foretaste. The mixture of online and offline teaching content will be maintained in the future to take the next generation on the digitalisation journey. Soft skills such as social competence and empathy are already crucial characteristics that employees need to bring with them now, but especially in tomorrow's working world.