The role of exponential technologies in forging future minds.

Zaiba Patel
Phoebus Online
Published in
2 min readNov 19, 2020

The future of technology is presented as a destructive dystopia, where robots are thought to take over employment and humans are thought to later have microchips inserted into their brains. However, this is not entirely the truth.

Even though statistics do prove that 45% of robotic expertise can take over shop floors, when we look past the hyperbolic nature of science fiction, it becomes much clearer that while emerging technologies will destroy many jobs, they will also create many new ones. Therefore, let us look at this positively and imagine an exciting and prosperous future of a highly blossomed workforce, driven by an evolution in technology.

In addition to the number of jobs, an increase in work-life balance, as well as skills mastered per individual, is expected. This will be seen in the Creativity, Media, Engineering sectors and much more. Such roles that are forecasted to come, are simply enticing, evident through the following in the creative sector: a 3D printing fashion designer, a VR designer, and an organ designer. These jobs, driven by a rise in creative tools such as 3D printing and virtual reality, are ‘Tomorrow's Talent.

Such innovative tools have already started being modified, evidenced through the launch of the natural language generation — an AI sub-discipline that converts data into text, enabling computers to communicate ideas with perfect accuracy! From this, it is clear we do not have to worry about future job prospectuses and employment sectors but rather, look forward to them.

Overall, we should look towards shaping a prosperous society network, with an optimistic mindset and view work as something that is motivated by passion, creativity, and a desire to not only learn new skills but to also contribute towards a brighter future. The jobs created by exponential technologies are clearly parallel towards this goal and thus, we should not dwell on the negatives of artificial intelligence, but rather identify the positive impact it has yet to make.

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