Updated: Jun 13, 2022
What Will Careers 2030 Look Like?
Ever wonder what will happen when technology takes over the corporate world entirely? Will it destroy the job market leading to higher levels of unemployment or aggravate the economic crises? Or, on the other hand, could it lead to a progressive and healthier society?
The answer to these questions is unknown as we don't know what tomorrow holds for us. However, by looking at the trends, we can anticipate that robots will be doing the hard work, tech-driven innovations will continue to come about, innovative and creative skill-sets will be in demand by the job market, and students will be taught through augmented and virtual reality - replacing the traditional methods of schooling, learning and teaching.
May be traveling to the moon would be the next hotspot for vacations, or by 2030 all cars will become driverless, doctors will be assisted by robots during medical procedures which will lead to unemployment in the medical sector, decision making will become smarter with artificial intelligence leading individuals to rely heavily on technology rather than manually analyzing data and so much more can change in terms of Careers 2030.
After going through these possibilities, it's scary to envision what will happen to the human workforce, to the 7.8 Billion population, where will we go from here, and what Careers 2030 will look like for us?
One thing for sure is confirmed, unemployment will be on the rise for those individuals who aren't already looking into getting equipped with the future skills-set to compete with the future of the workplace that's coming ahead in time. Even economic downfall can be a huge possibility.
Although the recent pandemic created havoc across the globe, and has posed a lot of threats and hurdles for the human race, but on the brighter side, be it businesses, jobs, education, or life in general, every individual is forced to think about how to upskill or reskill themselves to recover from crises.
During the pandemic, one thing which did change the dimension of many workforce sectors was that working through online or in other words, virtually had become highly common, and so when the hurdles like lockdown were lifted, apparently it proved that people preferred working from home rather than going into the office. Several multinational companies had a tough time getting their workforce to return to the office - instead some resorted to adopting a hybrid model and some didn't give up the fight.
However, those individuals who were not proficient in using computers did face various challenges.
Therefore, people are taking steps and understanding the overwhelming need for upskilling themselves. Several global-level conferences are being held across the world by pioneers and key opinion leaders in the industries to raise awareness about the concern at hand.
The Red World- innovation rules
In this scenario, innovation will come from left and right; those people will progress who have winning ideas and are specialized in the new highly demanded skill sets. Projects will be developed at lightning speed.
The Blue World- Corporate is king
The corporate world will be on the rise and capitalization will prevail. The firm's size and influence will be the most important factor to be considered when protecting its profits from competitors and new business entries in the market.
The Green World-Companies Care
This scenario will depict that corporate responsibility would not be just for the namesake, instead would be considered a vital part of the industry. A strong focus would be on human rights, diversity, and non-financial motives.
The Yellow world- Human will come first
Here, financial technology will allow more crowd-funding capital that reaches ethical brands. Artisan skills will be valued and training will be given to the craftsman. Humanness will be highly valued.
According to the stats published by The Economic Daily (TED), it is projected that employment will grow by 7.7% between 2020 and 2030 if people are skilled according to the highly demanded skills in the market.
Disappearing Jobs for 2030:
With the advent of ever-advancing technology, it’s no secret that many human jobs are at risk of being replaced by machines.
Now robots can do things that humans once did, such as manufacturing products, packing and shipping items, and even cleaning.
And there are a number of reasons for that.
One reason is that robots and automations are cheaper and more efficient than human workers. They don’t require salaries or benefits, and they can operate for longer hours than humans.
Additionally, robots and automations are often better at performing certain tasks than humans, with guaranteed results too.
A study by Foundation for Young Australians found that almost 60% of young people are training and preparing for job occupations, two-thirds of which are going to be automated in the next decade.
In fact, according to career addict, here are 15 jobs that are going to be replaced by 2030:
Fast food cook
Printing press operator
Is it something to be worried about?
As technology advances, it is likely that AI and machine learning will eventually replace the human workforce in many industries.
While this may seem like a scary prospect to some, it could also mean greater efficiency and productivity for businesses and workers alike.
With machines doing the jobs that are currently done by humans, we would be able to free up time and resources for more important tasks.
Imagine a world where machines can do everything that humans can do – only better and faster.
A world where we no longer have to worry about mundane or repetitive tasks, but can focus on more important things. That’s the future of AI, AR, and machine learning – and it’s something worth getting excited about.
So what can you do to make sure you're prepared for the future? One important thing is to make sure you have the right skills.
In order to acquire these skills, you need to be willing to learn, adapt and plan for the long term. You also need to be aware of which industries are likely to be affected by automation in the future.
Industries to be taken over by bots:
It’s no secret that automation is on the rise. In fact, a study in 2013 predicted that 47% of jobs in the United States are at risk of being automated in the next two decades.
In contrast, a study by Arntz et al. (2017) suggests that only 9% of individuals have jobs that are at high risk.
This isn’t a new phenomenon – technology has been replacing human workers for centuries.
But what is new is the speed and breadth at which automation is now taking over industries.
And it’s not just manual labor that’s being replaced – increasingly, machines are taking over cognitive tasks as well.
This bar chart shows the average estimated time spent by workers in each industry sector on tasks that could theoretically be automated using current technology, according to McKinsey's analysis:
The Future Careers:
Following are the jobs of the future as stated in the article Future Of Work, published by SimpliLearn.
Virtual Customer Representative
Will satisfy the customer through virtually advising the customer using the product line.
Augmented Reality (AR) Journal Builder
In this job, the builder will collaborate with talented engineers and technical artists to develop important elements for clients
Personal Memory Curator
Will consult with patients and stakeholders to develop specifications for virtual reality experience.
Will monitor automated roads and airspace in order to make sure no error occurs.
Elderly wellness consultant
Will be responsible for catering the physical and mental needs of the old age people.
Space Pilots, Architects and Tour Guides
This job will allow the tour guides, pilots and architects to live in lunar space.
For new projected Careers in 2030, new skills will also be needed. McKinsey Global Institutes has highlighted the top three in-demand skills for Career 2030.
Higher Cognitive Ability
By l2030 basic cognitive abilities will shift towards higher cognitive abilities which includes advanced forms of literacy and writing, critical thinking, quantitative and statistical skills for analysis.
Social Emotional Skills
Social Emotional skills advance form will be used in each and every aspect from communication to negotiation to empathy and much much more…
This skill will dominate each and every field that is from basic level to advance one. Such as in IT Skills, data analysis, engineering, design and research.
Let's consider the education sector during the lockdown. Although schools and universities were closed, the learning system was still alive through the internet. One thing which prevailed during that time was that e-teaching and e-learning were made common and it showed a positive result in terms of students' interest level and engagement.
A recent event took place in Houston, TX regarding Careers 2030. Leading people from the educational industries were present and discussed how careers in 2030 will shape out, especially post-covid.
The discussion was regarding how the administration, teachers, and students are dealing with anxiety and stress after covid-19. For this matter, solutions like a classroom for tomorrow (starting today) can be reimagined to relieve these stresses.
Basic technology is not the answer unless it is combined with Artificial Intelligence (AI), Augmented Reality (AG), Virtual Reality (VR), Big data and other immersive learning tools to help our teachers and students overcome the stress they are experiencing.
Also in this discussion, it was concluded that human and technological innovations will go hand in hand to reimagine the classrooms of today.
To prepare your kid for tomorrow, teach them today the skills needed for careers in 2030. For this very reason we have a lot of online lessons and courses regarding advanced engineering, design thinking, algorithm, artificial intelligence, and virtual reality. data science, culinary science, and much, much more…
Enroll your kids now for a better Career 2030 in various courses/lessons of interest taught by immersive based models with the help of machine learning, virtual reality augmented reality, and artificial intelligence.