An agentic AI interview is not a recorded video interview. It is a live, two-way conversation with an AI that asks questions, follows up based on your answers, and evaluates your responses in real time. No human is in the room. The AI runs the entire screening round on its own.
This is the newest layer of AI in hiring, and it is arriving fast. Korn Ferry's 2026 Talent Acquisition Trends survey of more than 1,674 global talent leaders found that 52% plan to add autonomous AI agents to their recruiting teams this year. Not considering. Planning. Eighty-four percent intend to use AI in some capacity in 2026. AI adoption in HR jumped from 26% to 43% in a single year, according to SHRM's 2025 Talent Trends report. KPMG's Q3 2026 AI Pulse survey shows 62% of billion-dollar organisations are now building, deploying, or developing AI agents, up from 42% a year earlier.
For graduates entering the job market in 2026, this means the first interview round for a growing number of companies will be a conversation with software. Here is what an agentic AI interview actually looks like, how the evaluation works, and how to prepare so you are ready when you encounter one.
What an Agentic AI Interview Actually Is
Agentic AI is different from the AI hiring tools you may already know. A CV screening tool like an Applicant Tracking System filters your application before anyone reads it. A one-way video interview platform records your answers to pre-set questions for later review. An agentic interview is neither of these.
During an agentic AI interview, an AI agent conducts a live conversation. It asks a question, listens to your answer, and decides what to ask next based on what you said. It can follow up on a gap in your response, ask you to elaborate on a specific project, or probe your motivation for the role. The conversation adapts in real time, similar to how a human interviewer would, but without a human in the loop at that moment.
Platforms like Paradox's Olivia and HeyMilo are already running these conversations at scale. Paradox's conversational AI handles everything from initial screening questions to interview scheduling, used by companies including Unilever, McDonald's, and Pfizer. HeyMilo conducts automated phone and video interviews, scores candidates against recruiter-defined rubrics, and returns ranked shortlists to hiring teams. InterviewAgent.ai conducts first-round interviews by voice or video and delivers a scored, ranked candidate list.
The key difference from earlier AI interviewing is autonomy. Previous tools followed a fixed script: question, response, next question. Agentic tools make decisions about the conversation as it unfolds. Gartner predicts that by 2028, at least 15% of day-to-day work decisions will be made autonomously by AI agents, and recruiting is one of the fastest-moving use cases.
What to Expect During an Agentic AI Interview
If you are invited to an agentic AI interview, here is what the experience typically looks like.
You will be told it is AI. Under the EU AI Act, which began full enforcement of its high-risk AI rules on August 2, 2026, candidates must be informed when AI is part of the interview process. Article 13 of the Act requires transparency: if AI is used to assess qualifications, screen applications, or evaluate interview responses, you have the right to know. In the UK, which is developing its own AI regulatory framework alongside the EU rules, many employers are applying the same standard voluntarily, particularly multinational companies that operate across both jurisdictions.
The interview may be by voice, video, or text. Some platforms run a phone-style interview where the AI asks questions out loud and you speak your answers. Others use video, where you talk to a screen. Some, like Paradox, conduct the entire screening through text chat. The format depends on the employer and the platform they use.
The AI will adapt its questions. Unlike a pre-recorded interview where every candidate answers the same questions in the same order, an agentic interview changes based on your responses. If you mention a specific project, the AI may ask follow-up questions about it. If your answer is vague, it may ask you to give a concrete example. This adaptivity is what makes it agentic rather than just automated.
The AI scores you in real time. Platforms like HeyMilo score each response against a rubric defined by the recruiting team, generating a per-question score with AI-generated rationale. The recruiter then reviews these scores, along with transcripts and recordings, to decide who progresses. The AI does not make the final hiring decision. Under the EU AI Act's Article 14, human oversight is required at key decision points. The AI's role is to gather, structure, and surface information, but a person makes the call.
The interview is usually the first round. Agentic interviews are typically used as a screening step before you speak to a human. If you perform well, the next stage will be a conversation with a recruiter or hiring manager. Some platforms report filling roles in an average of 14 days with 83% candidate acceptance rates, which suggests agentic screening is designed to move quickly and compress the early stages of the pipeline.
How Agentic AI Evaluates Your Responses
Understanding how the AI scores you changes how you prepare. The evaluation model is not mysterious, but it is different from what you might expect.
Content matters more than delivery. Most agentic interview platforms evaluate the transcript of your responses, not your tone, accent, or facial expressions. HeyMilo explicitly states that scoring is based on the content of what you say, not accents, facial expressions, race, gender, or other characteristics. HireVue dropped facial analysis entirely after criticism, and a 2025 CHI study found that camera eye contact has no statistically significant effect on interview scores. The practical implication: focus on what you say, not how you look saying it.
Structure is scored explicitly. Recruiters define rubrics for each question, and the AI scores your response against those rubrics. If the rubric asks for a specific example, a clear description of your role, and a measurable outcome, an answer that includes all three will score higher than one that covers two. The STAR method (Situation, Task, Action, Result) aligns naturally with this evaluation model, which is why many platforms recommend it. Practising STAR responses before your interview, as we cover in our guide to AI mock interviews vs real coaching, gives you the structure the AI is looking for.
Specificity beats generality. AI evaluation models reward concrete detail. "I led a team project at university" scores lower than "I led a team of six students on a market research project for a local business, delivering a 40-page report with three actionable recommendations." The AI extracts claims from your response and checks them against the rubric. Vague statements give it little to work with.
Consistency matters. Because the AI asks follow-up questions based on your answers, inconsistency will surface quickly. If you claim leadership experience in one answer and then struggle to describe a situation where you led others when probed, the AI will follow the thread. Your answers across the interview need to hold together as a coherent picture.
How to Prepare: A Step-by-Step Guide
Preparing for an agentic AI interview requires a different approach from preparing for a human interview. Here is how to get ready.
1. Practise with AI before you interview with AI
The best preparation for an agentic AI interview is to experience one before the real thing. Use a tool like ChatGPT, Claude, or Google Gemini to simulate the interview. Give the AI a job description and ask it to conduct a screening interview for that role, adapting its questions based on your responses. This gets you comfortable with the cadence of an AI-led conversation and the experience of being asked follow-up questions by software rather than a person.
2. Prepare STAR stories, not scripted answers
Do not memorise answers to common questions. An agentic interview will adapt based on what you say, so scripted responses will fall apart when the AI takes the conversation in an unexpected direction. Instead, prepare 5 to 7 STAR stories that cover your most significant experiences: a leadership moment, a challenge you overcame, a team conflict, a project you are proud of, a time you failed and learned from it. Each story should be concise, specific, and include a measurable outcome. When the AI asks a question, map it to the nearest story and tell it naturally.
3. Be specific and quantifiable
AI evaluation models extract specific claims from your responses and score them against rubrics. Replace every vague phrase with a concrete detail. Instead of "I improved the process," say "I redesigned the data collection form, reducing completion time from 20 minutes to 8 minutes." Instead of "I worked with a team," say "I collaborated with four other students across two departments." The more specific data points you include, the more the AI has to score in your favour.
4. Speak in complete, self-contained answers
Unlike a human interviewer who might nod or smile to encourage you, an AI does not provide social cues. You will not know if you have said enough until the AI moves to the next question. Make each answer complete and self-contained: context, what you did, and the result. Do not rely on the interviewer to prompt you for the outcome. State it clearly.
5. Prepare for follow-up questions
Because the interview is adaptive, you should expect follow-up questions on any answer you give. If you mention a project, the AI may ask what your specific role was. If you mention a metric, it may ask how you measured it. Think one step ahead for each story: what would a good interviewer probe, and do you have the details ready?
6. Treat it like a real interview
The most common mistake candidates make with AI interviews is not taking them seriously. Only 26% of job applicants trust AI to fairly evaluate them, according to a Gartner survey of 2,918 candidates in Q1 2025. Whether you trust it or not, the outcome determines whether you progress to the next round. Treat the AI interviewer with the same respect and preparation you would give a human one.
7. Ask for the interview format in advance
If you are invited to an agentic AI interview, ask the recruiter what platform they use and what format to expect (voice, video, or text). Knowing whether you will be speaking out loud, recording video, or typing answers changes how you prepare. It also signals professionalism, which matters because the recruiter reviews the AI's scores alongside your application.
Your Rights as a Candidate
Candidates have more rights in AI interviews than most realise. The EU AI Act, which began full enforcement for high-risk AI systems on August 2, 2026, gives candidates several specific protections:
- The right to be informed. Employers must tell you when AI is being used to assess you, what it is evaluating, and how it works at a high level.
- The right to human oversight. AI cannot make the final hiring decision. A human must review the AI's output before any decision is made. The EU AI Act explicitly requires this under Article 14.
- The right to request an explanation. If you are rejected, you can ask how the AI assessed you. Under Article 12, AI systems must log events so decisions are traceable and auditable.
- Protection from certain AI uses. Emotion recognition systems and biometric categorisation inferring protected characteristics like race or sexual orientation are banned in employment contexts.
In the UK, while the EU AI Act does not apply directly, the UK government is developing its own AI regulatory framework and many employers follow EU standards for cross-border hiring. The Equality Act 2010 also applies: if an AI screening tool produces discriminatory outcomes, the employer is legally responsible.
For a broader look at your options when AI screening goes wrong, our guide on opting out of AI CV screening covers what you can do if you believe an AI system has unfairly rejected your application.
What Agentic AI Interviews Mean for Your Job Search
The shift toward agentic AI in hiring is part of a larger transformation. McKinsey's 2026 State of AI report found that 40% of large organisations are now scaling AI agents, up from 27% a year earlier. Korn Ferry's survey shows 52% of talent leaders plan to add autonomous agents in 2026. This is not a future trend. It is happening in this hiring cycle.
For graduates, the implication is clear. The first interview round at a growing number of companies is no longer a conversation with a person. It is a conversation with software that evaluates the content of your answers against a structured rubric. The candidates who understand this system and prepare for it will have a measurable advantage.
Practising with AI tools, structuring your answers with the STAR method, and preparing specific, quantifiable examples are the most effective ways to prepare. For a broader understanding of how AI is changing every stage of the hiring process, read the Complete Guide to Getting Hired in the Age of AI. And if you want expert help preparing for your next interview, including agentic AI interviews, Alessandra offers one-to-one career coaching tailored to graduates and early career professionals.
Frequently Asked Questions
What is an agentic AI interview?
An agentic AI interview is a live, two-way conversation with an autonomous AI agent that asks questions, follows up based on your answers, and scores your responses in real time. Unlike recorded video interviews where you answer pre-set questions, an agentic interview adapts as it goes, similar to a conversation with a human interviewer but without a human present.
How is an agentic AI interview different from a regular AI interview?
A regular or one-way AI interview records your answers to fixed questions for later AI analysis. An agentic AI interview is a live conversation where the AI decides what to ask next based on your previous answers. The AI has autonomy in how it runs the screening, which is why it is called agentic.
Can the AI make the final hiring decision?
No. Under the EU AI Act, which began full enforcement for high-risk AI systems on August 2, 2026, AI cannot make autonomous hiring decisions. Human oversight is required at key decision points. The AI gathers information, structures evaluations, and surfaces insights, but a recruiter reviews the scores and makes the final call.
Do I have the right to know if AI is interviewing me?
Yes. Under the EU AI Act's transparency requirements, candidates must be informed when AI is used to assess qualifications, screen applications, or evaluate interview responses. In the UK, many employers apply the same standard voluntarily, particularly those operating across the EU and UK.
How should I prepare differently for an agentic AI interview vs a human interview?
The biggest difference is that you get no social cues during an agentic interview. The AI will not nod, smile, or prompt you to continue. Your answers need to be complete and self-contained. Focus on content structure (the STAR method works well), specific quantifiable details, and practise with an AI tool beforehand to get comfortable with the format.
Does body language matter in an agentic AI interview?
Less than you might think. Most agentic interview platforms score based on the transcript of what you say, not your facial expressions or body language. HireVue dropped facial analysis entirely, and a 2025 CHI study found that camera eye contact has no statistically significant effect on interview scores. Focus on the substance of your answers, not on how you look delivering them.
What should I do if I think the AI unfairly rejected me?
You can request an explanation. The EU AI Act requires AI systems to maintain logs so decisions are traceable and auditable. You can also ask for a human review of the decision. For more on what to do when AI screening goes wrong, read our guide on opting out of AI CV screening in the UK.
Are agentic AI interviews used for graduate roles specifically?
Yes. Agentic AI interviews are particularly common in high-volume hiring, which includes graduate schemes and entry-level roles. Companies like Unilever and McDonald's use Paradox's conversational AI for screening at scale, and platforms like HeyMilo and InterviewAgent.ai are designed for the kind of high-volume first-round screening typical of graduate recruitment.
