The new world order has set in

Original article was published on Artificial Intelligence on Medium

The new world order has set in

The COVID-19 crisis has set a new world order. We should try to understand & adapt to it.

Photo by K. Mitch Hodge on Unsplash

One big thing everyone will gradually observe post-COVID-19 crisis is growing disparity in the salaries or compensation they are offered. Above-average talent would get higher compensation than what they might have got before the crisis and vice-versa. The primary reason for this is the world has been completely shaken by the crisis and in such situation, recruitment would be done with higher scrutiny and a lot of recruitment will be held temporarily.

However, we need not stress ourselves because the job opportunities would not dry up, however, new job roles would be created & a few older ones would perish because businesses would have to get creative to see through the crisis & do things which previously they were reluctant in doing or social/government pressure prevented them in taking bold decisions.

How are jobs going to get affected?
Consider this, few universities till date offered online courses, but now everyone will have to to offer them. The scope of a teacher broadens from 50-100 students they have been assigned to, to a few hundred or even thousand even who might attend the online courses. A good teacher would become popular and may get higher compensation and vice-versa. Now the same education institutes would need to hire professional who would handle recording, editing videos, design online evaluation platform, setting up virtual classrooms, etc.

A lot of businesses which were traditionally offline, like Healthcare would explore possibilities of taking their operations online, which means you are not just competing with candidates in your locality but globally. Assessing radiology imageries is already done online & maybe in future it can become standard practice.

Impact on of Artificial Intelligence (AI) & Machine Learning(ML) on jobs:

Photo by Franki Chamaki on Unsplash

What COVID-19 has effectively done is, it has removed the barrier between the geeks & decision-makers. AI is not a new technology, but the business decision-makers were sceptical about it. Now with the crisis, the decision-makers would want to explore new possibilities & give push AI into their mainstream operations.

Here are some of the examples of how data science is becoming a part of your everyday life.

in 2012 IBM Watson, demonstrated their artificial intelligence engine which provided a better diagnosis for cancer the sum of the professionals in the medical field.

Moda Rapido, the retail fashion brand is using to AI design its products.

Image for representative purpose, Photo by Keagan Henman on Unsplash

Perhaps the T-shirt you are now wearing was designed by an AI engine.

The most memorable AI demo is that of Sundar Pichai, when an AI-based engine placed a call and book an appointment.

So does this mean that in future all these jobs would be done by machines?

Did robots take jobs away manufacturing industry jobs?

No! Infant they created more jobs, however, they did take the jobs of the people whom the robots replaced directly.

In a nutshell, we can classify more jobs as cognitive and non-cognitive. Cognitive jobs are those which involve the expertise of a person and a non-repetitive in nature, e.g. programming, surgery, etc. are cognitive jobs, while jobs like attending calls, billing, invoicing, etc are non-cognitive in nature. I do not want to comment on the nature of the jobs or compare these jobs with each other. Every job is a respectable job.

Machines can replace most of the non-cognitive jobs & few cognitive as well they are certainly threat to these jobs. However, machines cannot think on their own and they need inputs from humans to perform even most sophisticated AI-based tasks. This may not be a requirement from a technology perspective, but certainly from a legal perspective.

To give you an example let’s take the case of this company called spacejoy which offers interior designing services. Their AI model does a lot of grunt work, whereas the designer supervises the whole process and delivers a finished product to its customer at a price which is 5-10% of what the same designer would have otherwise charged. AI engines would need experts to generate the right kind of output from them, implying jobs of the future would demand highly specific expertise. Just visualise the evolution in the field of Medical Sciences. Earlier there a person was trained in a generic course and would treat all kinds of diseases and even do all types of surgeries. Specialised courses evolved with time and doctors started focusing on a specific domain. So in today’s world having graduates degree in Medical Sciences would not serve well to an individual & they will have to pursue a specialisation course. Likewise, you simply cannot take a generic qualification for a job, you would have to develop specific expertise.