
Live video interviews were the main focus of job seekers' preparation just a few years back. They would change the light, make sure their background was appropriate, and cross their fingers that their Wi-Fi wouldn't interrupt their speech.
Now, the next-gen format has replaced those people with AI interviews. The candidate speaks to a recording tool that is analyzing their tone, pauses, and word choice. No recruiter on the line.
This change is not about getting rid of human beings. It is about how the digital hiring revolution is quickening the scan process and thus, the recruiter's time is saved without compromising on quality. Nevertheless, the alteration is felt by candidates as less personal, and that is precisely what this article is about.
Have a look at the real differences between video vs AI interviews and understand both the hiring teams' and candidates' perspectives for your better performance in the next interviews.
To a large extent, video interviews were considered a breakthrough when they solved the distance problem. Talent could be reached by recruiters even from other cities or countries without the need to set up face-to-face meetings.
Live communication via Zoom, HireVue, and Spark Hire helped HR teams quickly assess a candidate's communication, confidence, and cultural fit.
Applicants could look into the interviewer's eyes, express emotion, and answer naturally. Recruiters could sense excitement, humor, and honesty. These are qualities that a resume can't reveal.
Technical glitches, awkward pauses, and scheduling delays often made the process inconvenient for both sides. As technology progressed, many organizations turned to AI-driven solutions to make this stage faster and more efficient.
AI interview tools made hiring easier, but not faster. Then came AI. What difference did it make?
AI interviews initially cut out the human element. Candidates are typically given a set of questions to answer on their own, in front of a screen. Then, the answers are recorded by the system, which also analyses facial expressions and checks speech patterns, tone, and even eye movement.
It's much quicker for recruiters to go through a large stack of applications. AI-driven recruitment software platforms can handle hundreds or even thousands of interviews within a matter of hours and rank candidates according to criteria set in advance.
However, the thing is that some people doubt this type of interview. The experience might be deemed robotic or stressful by some candidates, who feel they lack the instant interaction.
Certain individuals express concern over bias in such a way that if an algorithm unfairly measures confidence or language style, talented candidates might end up being the ones who lose out.
Nevertheless, organizations maintain that if implemented properly, these instruments eliminate the chances of bias on the part of human reviewers. AI is not susceptible to fatigue or distraction and therefore can maintain the same standard throughout the assessment.
So, it's a mixed bag, one that's still being fine-tuned.
This means that the candidates have to prepare for interviews differently. Instead of interacting with and getting signals from an interviewer, they have to look at the camera, talk clearly, and keep their voice at an even level. Moreover, eye contact and body language, which are normally associated with human communication, help here in a more technical way.
While candidates adjust to AI-led formats, recruiters on the other side are learning what this shift means for accuracy, speed, and fairness in hiring.
Recruiters automating their work with AI tools often agree that most of the work is done by the machine; however, the human decides the final outcome. AI merely filters noise. It delivers data-driven insights, for example, fast communication or a confident tone, which are used by recruiters to make the final call more informed.
For staffing firms that are using the best staffing agency software, the incorporation of AI has allowed them to do mass hiring in a short period without a drop in hiring standards. However, professionals are warning that heavy usage should not be made. Algorithms do not have the capability to understand the context and emotional nuance, which are characteristics of the best employees.
A recruiter from a mid-sized tech firm shared an honest thought: AI saves us hours, but I still want to meet the person before deciding. A score can't tell me if they'll fit the team.
Most companies are currently trying to find that same balance between the two.
Transparency is still an issue. There are lots of applicants who are unaware of the way their data is being stored or how their scores are generated. Ethical AI necessitates aspects of fairness and clarity. Employers must explain what is being evaluated and what the options are for appeal or feedback.
Countries such as the US and the UK are already taking steps to implement regulations around AI hiring to safeguard candidate rights. If recruiters are using AI recruitment software, then they should ensure that it is in line with the regulations and that it does not have any biases.
Before worldwide standards are established, companies have to be transparent, or they will lose the trust of the candidates.
Artificial intelligence is not taking over completely. It is rather a world where humans and machines share the roles. Recruiters will continue to use video interview platforms for quick and focused hirings, while AI will be in charge of handling the repetitive early screenings.
Jobseekers, however, must be willing to change their ways. They should not change to please a machine but rather to be prepared for any format. It does not matter if it is a one-way AI test or a live call; confidence, clarity, and authenticity are still the qualities that will help you succeed.
The change is not in the target of interviews but in how we get there.
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