8 Ways AI is Improving Job Search

When it comes to jobs in the IT industry, it has been a turbulent year. Everyone is seeking answers, whether you've lost your job due to COVID-19, are still looking for employment from a shrinking number of accessible technological positions, or are a recruiting business attempting to filter through such a high number of candidates.

 

More than half of big corporate firms currently employ Artificial Intelligence (AI) in the early phases of hiring to improve screening, sourcing, and scheduling. Whatever you believe about the principles of AI, it's difficult to disagree with the innovation it's bringing towards the job search process. To determine which positions a candidate is most qualified for, AI simply needs access to adequate data – location, expertise, recent searches, and career history.

 

Aside from the numerous online applications that assist job seekers in improving their resumes and targeting relevant jobs, there is the fundamental technology that allows modern job postings to exist: the Amazon Web Services cloud infrastructure, which has evolved from a corporate network into an internet operating system. 

 

Because AWS uses AI to estimate server demand, job boards can instantly offer job seekers geo targeted vacancies that match their profession, skills, hobbies, and career aspirations. Moving ahead with the topic, let’s check out the ways of job search improvement using AI.

 

 

Role of AI in Job Search & Recruiting

 

AI is assisting recruitment businesses in doing their duties more quickly and efficiently than ever before. It can swiftly analyze incoming applications for keywords, talents, and other qualities in order to identify the best prospects. AI excels in data processing, data sets, data crunching, and utilizing data insights. 

 

It bridges the gap for marketers who just do not have the time to analyze so many resumes. Most recruitment teams are tiny and can have up to 250 applications in their funnel at any given time. The following tasks are best served by AI algorithms:

 

• Matching: For example, finding the correct individual for the proper job title (based on keywords) and surfacing the top 10 possibilities.

 

• Screening: Identifying where talents fit for each worker in each capacity, such as job roles, duration at firm, skills, degree, kinds of a job done, and tenure length (they don't want employees who have shifted jobs frequently).

 

• Hiring Process: Automation includes the creation of automatic messages and reminders, as well as the management of video interviews.

 

 

How is AI Improving Job Search?

---

How is AI improving Job Search

---

1. Chatbots For Recruiters

 

Recruiter chatbots are now being tried to give candidates real-time engagement by posing questions based on job criteria and delivering feedback, updates, and the next ideas. Chatbots powered by AI offer a lot of potential for improving the applicant experience.

 

Around 58 percent of applicants have a bad view of a firm if they do not hear back following submitting an application, but 67 per cent have a favorable image of a company if they receive continuous updates all throughout the application procedure.

 

 

2. Digital Interviews

 

Online interview technology has been around for some time, but today's technology promises to employ AI to analyze candidates' word choices, speaking style, and facial expressions to determine their fit for the post and, presumably, the business and its environment.

 

Also read - (AI in Entertainment)

 

 

3. Software For Intelligent Screening

 

Intelligent screening software optimizes CV screening by leveraging AI on your current resume dataset.

 

Performance appraisals, tenure, and turnover rates, the programme determines whether prospects progressed to become effective and ineffective workers. 

 

It specifically learns about existing workers' experience, talents, and other traits and uses this information to incoming applications to automatically evaluate, grade, and shortlist the best prospects.

 

The programme may also enhance candidates' resumes by utilizing publicly available data sources regarding their previous employment as well as their public social media accounts.

 

Sophisticated instrument software that organizes resume screening provides a huge potential for recruiters since it interacts with your current ATS, which means it really doesn't disturb your productivity or the applicant process and requires little IT assistance.

 

(Related blog - HR Analytics)

 

 

4. Making Wiser Hiring Decisions Possible

 

Virtual job tryouts powered by AI provide recruiting teams with a more accurate assessment of applicant fit and allow them to move a large number of prospects through evaluations with speed and efficiency. 

 

Simultaneously, virtual job trials provide candidates with a far clearer picture of what it was like to perform in the job and the business. Hiring managers and applicants are in a good position to identify educated judgments now that they have access to this information.

 

 

5. More Discussion Time With Recruiters

 

AI helps recruitment to spend more time chatting with more qualified candidates by freeing up time that would otherwise be spent on administrative activities and by allowing enhanced assessment. 

 

When a candidate receives many job offers, it is frequently the sense of connection fostered by recruiters that influence top talent to accept the offer. Recruiters may use AI to work more effectively for a longer period of time each day.

 

(Related read - Ai in IoT - Benefits & Advantages)

 

 

6. Increasing Candidate Connectivity

 

AI is being utilized to improve candidate connectedness, whether it's in the form of an automatic SMS reminder about an impending interview or a chatbot that's accessible 24/7 to answer applicants' inquiries. 

 

TA teams can establish and sustain stronger candidate involvement by improving the quality and frequency of communication. With frequent communication from a prospective employer, prospects are more likely to feel educated and appreciated, which enhances the hiring experience.

 

 

7. Improving the Digital Hiring Experience of Applicants

 

In today's talent market, the applicant experience is everything. AI in recruitment contributes to a better recruiting experience by lowering or eliminating wait periods in your process and making it easier and more comfortable for prospects, regardless of their degree of interest, to explore a new position with your firm.

 

 

8. Reducing Administrative Time in Order to Accelerate Recruiting

 

Manually handling administrative recruitment responsibilities is increasingly becoming obsolete. Consider your true beginning if your recruiter could schedule interviews in only minutes with all requirements, even in elevated hiring. 

 

To plan a comfortable interview in a fraction of a second, TA teams use AI-enabled virtual recruitment assistants that verify hiring manager schedules and speak with prospects using natural language. These bots are also courteous when it comes to cancellations, reschedules, and reminders.

 

Another area where AI-enabled assistants are speeding up recruiting is automated applicant progression. Chatbots with auto progression can invite candidates to the next stage of the employment process based on a specified criterion. 

 

It may be as easy as completing an on-demand interview, or the assistant could assess replies to an on-demand text discussion and forward those who achieve a specific level. 

 

It could be an easy task to understand the improvement made by AI in the field of job search and recruitments but let’s understand the challenges faced by the same.

 

(Check out - Telegram Chatbot with Workflow)

 

 

Challenges of AI in Job Search

 

1. AI needs a large amount of data

 

In general, AI requires a large amount of data in order to learn how to correctly replicate human intellect.

 

For example, machine learning-based AI requires a massive amount of data to learn how to filter resumes as precisely as a human recruiter. This might range from hundreds to thousands of resumes for a single position.

 

 

2. AI can pick up on human prejudices

 

By disregarding information such as a candidate's age, gender, and ethnicity, AI for recruiting claims to decrease unconscious prejudice. AI, on the other hand, is trained to detect patterns in prior behavior.

 

That implies that any human prejudice that exists in your hiring process – even if it is unconscious – might be picked up by AI if it is designed without sufficient scrutiny. 

 

To prevent reproducing any existing biases, verify that the AI software provider you employ has taken efforts to guarantee that their AI is built and continuously checked for any patterns of possible prejudice (e.g., only hiring graduates from a certain college).

 

 

3. Disbelief in modern technologies

 

HR workers are frequently assaulted with the latest and greatest trend, which rapidly fades.

 

Recruiting and talent acquisition leaders are understandably suspicious of any technology that claims to make their work simpler and to improve the abilities of their HR environment. They want to be certain that any programme that would automate one of their duties will perform as well as they do.

 

(Related read - What is Digitization, Digitalization and Digi Transformation)

 

The coming future will witness an increase in recruitment activities, but there will also be other developments. Anything that can be automated will be automated, therefore raising the value of your work and staying proficient to avoid being replaced by technology in the long term.