An AI interview is an interview conducted partially or entirely by artificial intelligence. The AI asks candidates questions — through text, voice, or video — analyzes their responses, and generates evaluations including scores, summaries, and recommendations. AI interviews are most commonly used for the screening stage of hiring, where they handle initial candidate evaluation at scale.
How AI Interviews Work
In a typical AI interview, a candidate receives a link and opens it on their phone or computer. The AI introduces itself, explains the process, and begins asking questions related to the role. The interaction feels conversational — the AI acknowledges responses, asks follow-up questions when answers are vague, and transitions naturally between topics.
Behind the scenes, the AI is powered by a large language model that has been configured with the specific questions, scoring criteria, and behavioral guidelines for the role. After the interview is complete, the AI evaluates each response against the defined criteria and produces a structured scorecard.
Types of AI Interviews
AI interviews come in several forms:
- Text-based conversational interviews: Candidates type responses in a chat interface. The AI responds in real time, creating a conversation-like experience similar to messaging.
- Asynchronous video interviews: Candidates record video responses to pre-set questions. AI analyzes the content of their answers (and in some cases, non-verbal cues).
- Voice-based interviews: Candidates speak with an AI interviewer over the phone or through a web interface. Speech is transcribed and analyzed.
Each format has trade-offs. Text-based interviews are the most accessible and remove biases related to appearance or accent. Video interviews capture more information but can introduce biases. Voice interviews feel most similar to traditional phone screens but require robust speech recognition.
Benefits of AI Interviews
For recruiters, AI interviews offer dramatic efficiency gains. Instead of spending 15 to 30 minutes per candidate on phone screens, recruiters receive completed scorecards with structured data. They can review a candidate in 2 to 3 minutes instead of investing 20 or more minutes in a call.
For candidates, AI interviews offer flexibility. They can complete the interview at any time, from any location, without the stress of scheduling or waiting. The experience is consistent — every candidate gets the same questions and the same level of attention.
For organizations, AI interviews improve hiring quality by enforcing structured evaluation. Every candidate is assessed against the same criteria, reducing the influence of individual interviewer biases. Results are standardized and comparable, making it easier to identify top talent.
Common Concerns
The most frequent concern about AI interviews is the candidate experience. Will candidates feel comfortable talking to a machine? In practice, acceptance has been higher than many expected, particularly among younger candidates who are accustomed to text-based communication. The key is transparency — candidates should know they are interacting with AI and understand how their responses will be used.
Another concern is accuracy. Can AI reliably evaluate candidate responses? Current AI models are strong at assessing factual content, relevant experience, and structured criteria. They are less reliable at evaluating soft skills, cultural fit, or nuanced communication styles. This is why AI interviews work best as a screening tool — handling the initial filter — rather than as a replacement for human interviews entirely.
The Future of AI Interviews
AI interviewing technology is evolving rapidly. Models are becoming more conversational, better at follow-up questions, and more accurate at evaluation. The trend is toward AI handling more of the routine evaluation work while freeing human recruiters to focus on relationship-building, final decisions, and candidate experience — the areas where human judgment matters most.