Robot Takeover: How AI Tech Will Render Human Jobs Obsolete? - Ybus
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Robot Takeover: How AI Tech Will Render Human Jobs Obsolete?

Robot Takeover- How AI Tech Will Render Human Jobs Obsolete

Robot Takeover: How AI Tech Will Render Human Jobs Obsolete?

They’re calling it a revolution and it may as well be, with robots poised to eventually takeover many jobs that humans are doing now. Is yours going to affected?

Lawyers.

lawyers

lawyers

If we’re to go by how Hollywood presents them, being a lawyer seems like a pretty great job to have. It’s thrilling and likely to be very interesting, it’s also a high earning career that’s got plenty of social status attached to it. Hiring a lawyer, in fact, takes up a substantial portion of money and that amount only increases depending on their track record.

However, what they do is actually significantly more routinized when compared to others. Here’s why their job is likely to be in danger once AI’s get to a point of advancement that they can takeover:

Sure, bespoke legal work will require a human touch. However, AI’s can be relied upon when it comes to doing legal discovery; this is the pre-trial process wherein lawyers would have to decide which of the documents they have would be most relevant to the case at hand. AI’s can also work on creating contracts, handle routine divorce proceedings, and even argue parking fines.

How this could playout:

Well, should this come to pass, finding junior lawyer jobs would be very difficult to do. That said, having a knowledge on both law and computer science might provide you with an advantage. With progress and change comes other new and interesting opportunities, after all.

Data-Entry Clerks.

 

When people think of this particular job, the words repetitive and tedious often come to mind. But, that said, there is great stability when it comes to this job. Given the massive amount of data generated by different individuals and companies, there will always be a need for data-entry professionals.
But the repetitiveness of the job will become its greatest weakness. With the advent of AI’s that can perform the same job at a faster pace, it is likely that companies will no longer be interested in hiring humans to do the job. Think of it from a financial perspective—why pay hourly wages when you can simply get a robot to do things for you. The accuracy will greatly improve as well.

How this could playout:

Okay, so sitting in a cubicle typing away all day might become a thing of the past for humans—but AI’s will still need someone to oversee them. Data science is also another field that they can look into.

Journalists.

 

Surprisingly enough, this is a job that could be in danger of getting taken over by AI’s. You might wonder how a robot would be able to write a compelling piece of work, but considering how advanced some bots have become it certainly isn’t far from becoming a reality.
Bots can be used to generate simple sports reports or other casual news articles. AI can also be used for investigative journalism, with the ability to pull up data within seconds, put together statistics with just a click of a mouse, and find interesting patterns that human eyes may have missed.

How this could playout:

Journalists won’t be completely pushed out of the picture—if they learn how to play alongside them. Using the AI’s research abilities can certainly help improve the accuracy of an article or help unearth key information for investigative journalism.
AI’s could also help human writers personalize their work better, transforming written pieces in a way that makes it more interesting and accessible to people based upon their age, location, and reading level.

Of course, all of the aforementioned are just scenarios—there’s no real certainty that it will happen. In fact, some experts argue that artificial intelligence will replace tasks and not the job itself. What this means is that the robots would be taking over the boring and time consuming tasks, which would then allow humans to work more on higher-level tasks. This increases productivity two-fold and because people have more time to focus on the work that matters, it could even boost progress in different industries.

Not to mention, improve the worker’s quality of life as well.

In this scenario, who gets affected the most? Experts suggest that about 40% of global jobs will be replaced by robots. Particularly, the blue collar and white collar professions, but it is those who drive for a living that will get hit the hardest. Even at present, it’s easy to see why.

Self-driving vehicles are becoming our reality and whilst it is still mostly in its beta phase, one can only assume that it would continue to progress from here. This means that truck drivers, chauffeurs, cab drivers—anyone who drives for a living will have to look into other industries as changes are expected to happen within 15 to 25 years. Yes, that soon.

Going fully automated seems ideal, but only on a surface level. Even people like Elon Musk have warned against the overuse of artificial intelligence and how it could negatively impact whole communities. Particularly, the low income workers who rely on this so-called menial jobs as a means of making a living. Despite the detractors and the fears, AI progress continues to develop and the general public is becoming more accepting of it.

Whether that’s a good or bad thing is still up for debate. We may not even full understand its effects until the whole thing is in full swing. Balance will become key here and properly delegating jobs between humans and their robotic counterparts would be essential. For example, giving long-distance driving jobs to AI who do not need to sleep or eat. Such a mindset would be beneficial to both the industries and the workforce behind it.

As with any type of advancement, there are always consequences. In this case, we cannot fully predict what might happen, but there is a way of preparing. For one, putting the appropriate systems in place could help with creating balance and make sure that we’re able to utilize this powerful technology in the best way possible.
That should be our goal, after all.