In the world of recruiting, speed and efficiency take precedence over everything else. Companies see asynchronous (one-way) video interviews as a lifeline for finding the right person among thousands of candidates. But on the flip side lies a reality where candidates "perform into silence" in front of a camera — and quickly grow cold toward your brand. If you set up your AI strategy the wrong way, you might end up jeopardizing your greatest asset — your employer brand — while trying to cut costs. Scientific data and candidate experiences clearly reveal how this "cold" technology damages company image.

Candidates are tired of "performing into silence"

One-way video interviews are built on the premise that candidates read a question appearing on screen and record their own video response. But this process creates a deep sense of "worthlessness" in candidates. A comprehensive study titled "Experience and Adaptation in AI-mediated Hiring Systems" conducted by Md Nazmus Sakib and colleagues found that candidates describe this format as feeling like "talking to a security camera with a microphone." One participant summarized the experience by saying, "No reaction, no presence — just me and my doubts" (Sakib et al., 2018/2024).

This leads candidates to feel less like valued talent and more like a mere data point or a cog in a machine. Sakib and team (2018/2024) emphasize that such interactions trigger a sense of "dehumanization" and that candidates develop significant distrust toward the system. Feeling like you're talking to a wall causes even the most talented candidates to either abandon the interview midway or develop a negative perception of your company.

The damage to employer brand is backed by numbers

Many HR leaders believe that AI-powered video interviews make their company look "innovative." But the data tells the opposite story. A thesis by Nicole Jurado (2025) titled "The effects of artificial intelligence on shaping employer brand perception" shows that among AI tools, candidates despise asynchronous video interviews the most.

Some striking data points shared in this research highlight the severity of the issue:

• Only 29% of candidates said they would apply to a company that uses this type of interview.
• 63% of candidates who experienced an AI interview described the company brand with "negative" adjectives (cold, mechanical, unfair).
• Candidates reported that video interviews made them feel like mere "statistics" and that the company was avoiding investing in people (Jurado, 2025).

Especially for roles that demand high competency, candidates expect a real person to invest time in them. Jurado (2025) notes that completely eliminating human interaction from the interview process causes the brand to be perceived as "unprofessional and lazy." When a company responds to a candidate's effort with nothing but a bot, the candidate codes that as "disrespect."

Expectation violation theory: Why disappointment runs deep in the ChatGPT era

Modern candidates are now accustomed to smart, interactive AI systems like ChatGPT. When a candidate hears that a company will conduct an "AI-powered interview," they naturally expect an "intelligence" they can converse with and ask questions to. But when they're met with nothing more than a static screen that records video, they experience a significant "expectation violation" (Expectation Violation Theory).

Sakib et al. (2018/2024) reveal that when candidates realize that AI interviewers perform far below the advertised level, their stress levels increase. Candidates express their disappointment by saying, "They called it AI, but it's just a dressed-up recording form." This technological gap makes the company's use of technology appear "fake" or "superficial," fundamentally eroding candidate trust.

How to make AI interviews "brand-friendly"

So how can you use AI without damaging your brand? The solution lies in positioning technology not as a barrier that replaces humans, but as a bridge that supports them. The key recommendation from the studies by Nicole Jurado (2025) and Jabarian & Henkel (2026) is to adopt a "hybrid and transparent" model.

Here are the strategic steps to protect your brand:

• Avoid asynchronous videos: communicate with candidates through real-time or interactive voice AI agents.
• Be transparent: clearly explain to the candidate at the beginning of the interview what the AI measures and at which stage (Jurado, 2025).
• Provide feedback: ensure the AI gives motivational responses during the interview, such as "That was a great example, thank you" (Sakib et al., 2018/2024).
• Maintain human oversight: assure the candidate that "a human will also review and evaluate this" at the end of the interview.

A field experiment involving 70,000 participants conducted by Jabarian and Henkel (2026) shows that voice AI agents deliver a 60% efficiency gain for human resources professionals, but emphasizes that the final decision must always be made by a human. AI should provide speed during the initial screening, while human interviewers should continue to handle the "connection-building" aspect — the soul of the interview.

Conclusion: Efficiency should not kill empathy

Employer brand is the sum of the emotions a candidate feels during the interview process. If you condemn your candidates to silence through one-way videos, you turn them into not just rejected candidates, but future enemies of your brand. As noted by Poenaru and Diaconescu (2025), ethical and human-centered priorities matter more to Gen Z candidates than the technology itself.

When choosing AI for your company, ask yourself this question: Is this tool automating the interview, or severing the connection between me and the candidate? The right AI interview tool is not one that reduces the candidate to a number — it's one that listens to their story, responds to them in real time, and includes them in the process. The best talent doesn't just apply for jobs — they apply to cultures where they feel valued.

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References

• Jabarian, B., & Henkel, L. (2026). Voice AI in Firms: A Natural Field Experiment on Automated Job Interviews. Booth School of Business, University of Chicago.
• Jurado, N. (2025). The effects of artificial intelligence on shaping employer brand perception: insights from entry-level hiring practices. Master Thesis, Universidad Carlos III de Madrid.
• Poenaru, L. F., & Diaconescu, V. (2025). Bridging Technology and Talent: Gen Z's Take on AI in Recruiting and Hiring. Bucharest University of Economic Studies.
• Sakib, M. N., Rayasam, N. M., & Dey, S. (2018/2024). Experience and Adaptation in AI-mediated Hiring Systems: A Combined Analysis of Online Discourse and Interface Design. University of Maryland.
• Lee, B. C., & Kim, B. Y. (2021). Development of an AI-based interview system for remote hiring. International Journal of Advanced Research in Engineering and Technology (IJARET), 12(3), 654-663.