How Will Artificial Intelligence Create More Jobs by 2025?

Any new technology that has the potential to change the way humanity lives has always created a huge amount of debate. And this is especially true for Artificial Intelligence. The debate over Artificial Intelligence is never-ending. Researchers, thinkers, IT professionals, even the average layman has polarizing opinions on AI and its potential impact on humanity.

“I visualize a time when we will be to robots what dogs are to humans, and I’m rooting for the machines.” — Claude Shannon.

“There is no reason and no way that a human mind can keep up with an artificial intelligence machine by 2035.” — Gray Scott.

“Sooner or later, the U.S. will face mounting job losses due to advances in automation, artificial intelligence, and robotics.” — Oren Etzioni.

“I believe this artificial intelligence is going to be our partner. If we misuse it, it will be a risk. If we use it right, it can be our partner.”

The list goes on and on. But a recent study seems to provide a conclusion to this debate.

Know Why Artificial Intelligence will Not Destroy Jobs

Automation threatens 8 million jobs by the end of 2030 but at the same time technology is all set to create more jobs than ever. Artificial intelligence is not purely destructive. New jobs will be created, existing roles will be re-built, and switching careers will be a great opportunity, says a report.

Reports claim that over 30% of jobs are under potential threat to some people already losing their jobs. Digging in deeper, we establish that AI technology will also create over 2 million job opportunities worldwide by the end of 2020.

While there is cut-throat competition across all jobs, machine learning and artificial intelligence jobs face substantially less competition. These specialized engineering jobs are on a rise but still remain vacant. The critical factor is the scarcity of skilled talent.

This report talks about why is it necessary for IT professionals to upskill to stay relevant.

The AI research spectrum is expanding. From autonomous cars to models for cancer detection, the use cases are touching almost every segment. At the same time, there is a plethora of platforms offering degrees and certifications in AI, Machine Learning, and Deep Learning but the number of potential employees for the same is very less.

Presently, with very few job seekers, the hiring processes have become sloppy, delaying deft adaptation of intelligent machines.

Automation Requires Creating New Skill Sets.

While unskilled jobs are under grave threat, AI will create room for a new category of jobs that can be mastered with training.

If you do not believe in this philosophy, now is the right to start believing it. While a lot of jobs have taken a hit due to artificial intelligence, you can still land yourself a job with constant learning and upskilling.

Robots and machines are becoming smarter with artificial intelligence and are taking over time-consuming, manual labour based jobs which might be threatening but we need to address the fact that this has been an on-going process. In the early 60’s, we would reach out to the nearest branch to withdraw money but with ATMs in place, the process is fastened.

Robots for painting cars, ATMs for cash disposal, computers for creating spreadsheets, did feel like a potential threat initially. Similar could be the case with AI, we never know.

A global survey by Allegis had fascinating insights- Twenty-one percent of the people viewed AI as something to be excited about. Seventeen percent considered it both disrupting and enabling, and a lower number, 9 percent, believed AI will displace most jobs in 10 years.

“This mixed view of AI is not surprising because the technology does more than automate tasks; it changes the nature of the work we do.” -Rachel Russell.

As AI becomes more and more able to carry human-like functions it will replace jobs with certain human attributes but will create new opportunities as well.

Machine learning engineer, Deep Learning engineer, AI trainers, Natural Language Processing engineer, AI specialist, Deep Learning engineer — Computer Vision followed by multiple permutations and combinations like AI & Dl, DL, and ML, DL and Data Scientist etc are among the trending job profiles to name a few.

Of all the advancements, Human judgment is less likely to be surpassed by AI. We need to start looking at Artificial intelligence in its purest form- Intelligence in augmented form instead of a job-hungry robot training to take over.

According to a report by the World Economic Forum, 50% of tasks in the workplace will be automated by machine by 2025 compared to 29% as of now. Nearly 50% of companies predict their workforce to reduce by 2022 but at the same time, automation is expected to create new roles in the industry. Another key takeaway is that the demand for roles varies across regions.

The entire hype about AI replacing jobs has a lot to do with the type of jobs under consideration. While certain aspects of a job are susceptible to automation, human intervention cannot be replaced.

AI can power multiple aspects which make up today’s jobs

Machines are great at cyclically performing a particular task with a high level of accuracy and consistency, thus we can surely say AI will take over a particular variety of tasks.

But complex problem solving remains a far-fetched thought among the goals of AI. Change is the only constant and as some jobs are replaced new ones will be created. As per some estimates, 65% of the kids who are in schools today will end up with jobs that do not exist today.

When it comes to tactical thinking, nuances of problem-solving, adaptive thinking, and thinking-out-of-the-box abilities, AI is still way behind the human brain. After all, AI can only mimic the human brain.

So it seems AI will cut off the monotonous jobs on the table (like data entry and a certain level of accounting) but human resource-based jobs like customer care, sales and marketing, innovation, and research will continue to be in high demand along with specialized jobs in the field of AI itself.

For those of you who are wondering what should you do to save your job- a little less worry and more upskill and training will set the game just right for you.

If you are interested in the domain of AI and want to learn more about the subject, check out Great Learning’s PG program in Artificial Intelligence and Machine Learning.




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