The phrase “artificial intelligence” refers to any advancements in computer programmes that can do activities or solve issues that need the type of reasoning that we identify with human intellect. Algorithms are frequently connected with AI, such as the infamous Facebook algorithm that replaced all of our friends with sponsored material. However, there is a significant difference: an algorithm is merely a “series of instructions” or a formula for processing data; AI, on the other hand, is a group of algorithms that can evolve and rewrite itself.
Significance of Artificial Intelligence
Why is it Important to have AI at Work?
How has AI Impacted work?
Should You Rely on AI for the Future?
The working relationship is evolving nowadays, and a new “performer” has emerged in the workplace. Workers have long been subjected to employee tracking and performance evaluations. Over time, both analogue and digital machines have been utilised to assist workplace designers in calculating job outputs. Some robots now have new tasks and even autonomy thanks to integrating artificial intelligence (AI) tools and apps.
AI at work directly impacts work efficiency. It’s like getting a dishwasher for your house instead of hand washing the dishes. You get a little extra time to relax or do something else; your dishes are clean all the time as it hardly takes you any time to do them and a little peace of mind comes with the newer help in the house. More inexperienced candidates now can be quickly recruited and taught to wash the dishes, which increases the sharing of responsibilities. A total win-win.
In a workplace specifically, this is how AI helps,
The time wasted doing a meagre task. This delayed the hiring process to a time of 2-3 months.
The entire hiring process with the help of AI has been reduced to a week now. Hirect even for that instance. The app claims to have helped candidates secure interviews within a day! Crazy right? Exactly! AI efficiently took over the tedious jobs and adapted to get better at them. Indispensable is a better word.
Who knew we could measure the performance of a candidate automatically? Now we all do. KPIs reviews, attendance, targets achieved, testimonials etc. Are specific tools used to help understand candidate value? It is essential to make them believe what works and what does not work for them. AI gives factual proof to back it all up. Both for the existing candidates and for the prospects to look you back down in history.
This is such a given. A machine is faster, emotionally stable and very accurate often. It works as per the command and does not have any human limitations. And that is an excellent tool to carry out tedious tasks that take an unnecessary amount of time that could be rightfully used for a hiring interview.
The involvement of AI reduces the labour required, which automatically leads to savings. Many otherworldly resources are also saved simultaneously, which leads to cost-cutting. Virtual connecting and the hiring process have made having multiple interviews in a day possible, and it is way cheaper than an offline interview.
Automated messages and chatbots are perfect for reaching out to people and interacting with a more significant sum. Since AI is a self-learning tool, it’ll automatically evolve in the future to conduct fundamental interactions covering the FAQs in multiple languages for the candidates. And recruiters get to focus on interviewing the candidates only.
As much as AI is incredible, it also has flaws. Did you know that recruiters were completely against implementing AI in the recruitment industry in the very beginning? They were! It was assumed that AI would eventually replace humans taking their jobs away. This has not been the case in the recruitment industry but many other industries. And yes, some amount of labour work is eliminated from society. AI has replaced a few jobs in the community. But completely taking over an entire industry is something still not believed in.
On the other hand, the luxury that AI provides by doing all the tedious work has reduced the number of effort employees has had over the years. Now they’ve become accustomed to it, and there might be a day when tedious basic jobs won’t be something humans would be capable of doing. They will become lazier day by day. That’s one threat.
There are both pros as well as cons on the list here. AI is to empower us, but there is a chance of it overpowering us at the same time too. Also, the art of carrying out basic tasks efficiently and manually might lose its importance when it should always be crucial. Basics can never be taken out of significance and shouldn’t be tried.
1) What is the positive impact of AI on the future of employment?
This is what AI does for you.
Simulations help train a newbie when entering the industry as a fresher. It is no match for an excellent and supportive senior but a better replacement for a but is a good one. The empathy might be lacking, but the technicalities are well taken care of. And simulation being a real-time experience below, one understands the responsibilities way better than usual.
AI has introduced better and more accurate tracking systems. Since it is a machine, keeping flawless records is a significant plus point. And to calculate those to come to a one graph solution that helps us analyse growth in one sight is of great help.
Better and prompt support services
Chatbots lack empathy at the moment, but they are really good for promoting query resolution. It helps in tubing excellent and timely customer services.
All the three listed advantages above are just major factors that AI has. It helps the industry in a lot more ways, and every domain has its advantage. These three, however, have dramatically affected the employment industry positively.
2) What is the negative impact of AI on the future of employment?
AI plays a significant role in the recruiting process, with an automated applicant tracking system, or ATS, rejecting up to 75% of resumes before they even reach a human being.
Previously, recruiters had to spend a significant amount of time sifting through resumes to find qualified applicants. According to LinkedIn data, recruiters can spend 23 hours reviewing resumes for a single successful job. AI-powered systems are increasingly doing resume scanning.
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