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Top Technologies That Will Endanger 5 Million Tech Jobs by 2023
Updated on 13th Jan, 23 3775 Views

World Economic Forum reports that 5 Million jobs will be taken over by high-end technologies till the end of 2020.

Ten years back no one would have imagined about Driverless Cars, but Google just proved it wrong by beginning the self-driving car project in 2009. Today, Waymo is a successful name with a record of 1 billion miles rode in 2016 only.  Tried and tested in crowded roads, this disruptive innovation is definitely a risk to taxi and truck drivers across the globe.

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Most of the jobs performed in an organization follow a routine and repetition, which can be easily replaced by automated systems in lesser time and least cost. This is what is happening with software testing. Automation testing is replacing manual testing and is increasingly becoming a risk to people working in this domain. Does it mean the technology is a risk to employment?

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“I don’t think it is going to happen next year or the year after, but I do believe that probably by the mid ’20s to the late ’20s, you’ll start to see a dramatic change in sort of how machines run the world, ” Greg Creed, CEO of Yum Brands

Probably true! Starting from computers that replaced calculators to cutting-edge technologies that are on the verge of replacing humans, is probably the biggest threat scientists should start thinking about.

  • A report from Barack Obama Administration revealed that employment will extinct in the coming decade.
  • The bank of England estimates that almost 15 million service-oriented jobs are going to succumb to automation.

Bloomberg, in a recent post, made some shocking revelations by plotting occupation and likelihood of being automated in a graph:

  • Doctors, Dentists, and CEO are the safest jobs that are least likely to be automated.
  • Managers, credit analysts, and insurance professionals are the highest paid people but are most likely to be automated.
  • While Information technology is still on the safe side, hardware engineers, and market research analysts are soon be replaced by automated systems.

Some data scientists see it as an opportunity, some see it as a threat. Mathias Golombek, CTO at the analytic db, speaks on the forecasted dearth of big data professionals and looks into it from a progressive point-of-view.

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“New emerging technologies (especially the variety of completely new areas of applications) will aggravate the dearth of big data professionals. If you take a moment to think of developments such as sensors, IoT, machine learning, self-driving cars, robotics and many more, you can imagine that the storage, processing and transformation of data into insights and services will dramatically increase, far more than skilled employees can be educated.”

He goes on to say that “I believe that the three areas of programming, analytics and business intelligence are not that separated anymore but become more and more integrated into each other. For instance, you can run data science code within relational SQL databases using in-database analytics capabilities, or run certain analytics inside BI tools. The exciting challenge for technicians will be to integrate these worlds tightly into a powerful data analysis eco-system in an era of constant change.”

On the other hand, Rana Gujral, Founder of TiZE, Columnist at TechCrunch and Forbes, has a different perspective altogether. He considers education and training as important aspects that can make people technology-ready.

“The traditional big data core skills have involved taking a data set and modelling it mathematically, then building the model, and finally analyzing trends to come up with relevant insights. In order to do this, a data scientist is required to have equal mastery in math, computer science, statistics, business, finance, and specific domain knowledge. Most academic programs today do not offer the right combination of coursework from all these disciplines. Companies need to start working closely with the academia to create a joint curriculum in business analytics and mathematics. Unless this happens, the skill gap will widen tremendously over the next decade.”

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Not only this, but Rana considers digitization a threat to potential employment opportunities too. He expresses his concerns about the employment lay-offs due to the explosion in technology.

“Skills gap for data engineers is already a pretty big problem today. Companies that digitize processes can improve their bottom lines and delight customers. The benefits are huge: by digitizing information-intensive processes, costs can be cut by up to 90 percent and turnaround times improved by several orders of magnitude. This trend is bound to continue. The reality is that very few organizations have people who can analyze this extraordinary-high-volume data in order to uncover valuable learning. It’s not enough to just mine tons of data across the board unless the data can be converted into meaningful insights!”

Definitely opinions are going to vary, but if for a moment we stand at a neutral point, we would be able to figure out that technology has given employment opportunities too, if it has snatched. Professions like Data Scientists, Big Data professionals, Cloud Computing Architects, Machine learning and AI experts are the gifts to us in the form of development and growth. Innovation and creativity has opened doors wide open for aspirants belonging to different fields.

However we certainly cannot deny the fact that every technology has an expiry date and with it going obsolete, the risk of unemployment increases.

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