The AI Interview
Artificial Intelligence (AI) isn’t just reshaping recruitment workflows – it’s also redefining how interviews are conducted, who gets evaluated and what it means to demonstrate competence in the hiring process.
AI is transforming interviews, what works and what doesn’t, and what executives need to know in a rapidly evolving labour market.
Scale, Speed and Adoption
87% of companies now use AI-driven tools in recruitment, with 58% deploying AI for video interview analysis.
We’ve seen how organisations can dramatically reduce administrative overheads and time‑to‑hire, with AI tools optimising efficiency, consistency and scale:
- AI can administer the same questions to every candidate with no fatigue and without scheduling delays
- It can process thousands of responses simultaneously, analysing patterns in language, tone and even facial cue
- Recruiters report significant reductions in screening time – by as much as 70% when AI tools are integrated end‑to‑end.
However, these capabilities come with trade‑offs.
The Candidate Lens
Emerging research shows that candidate perceptions play a critical role in hiring outcomes, with interview formats influencing application behaviour, job choice and organisational reputation. Scenario‑based studies indicate that job seekers often perceive AI‑enabled interviews as less fair.
These perceptions can negatively affect both a candidate’s willingness to apply and their overall impression of the organisation. Notably, a substantial portion of the workforce reports discomfort with AI-led interviews, particularly in contexts where human rapport and psychological safety are important.
In conversations with senior talent leaders, I’m hearing a clear strategic tension: while AI can deliver short-term efficiency and hiring gains, it also carries meaningful risks to candidate trust and long-term employer reputation.
Preparing for AI Interviews
Success in AI interviews requires a different level of readiness than traditional interview coaching typically covers. Beyond refining answers, candidates need to understand how algorithmic systems interpret responses, how structure and delivery influence evaluation, and how to perform effectively in environments with limited human feedback. I am seeing that this gap is increasingly visible among high-calibre candidates who are strong in human interviews but underperform in AI-led assessments. Interview preparation must therefore evolve.
Understanding AI Interview Formats
AI interviews commonly appear in two forms:
- One-way or asynchronous video interviews, where candidates record responses that are later analysed for content, tone, pacing and visual cues.
- Live AI or chatbot interviews, which adapt in real time, with follow-up questions generated based on responses. Some systems may also assess subtle facial movements and micro-expressions. Our coaching AI tool helps candidates develop in this space.
In sectors such as banking and financial services, these tools are now widely used at early stages of the hiring process. Their purpose is not to replace human judgment, but to identify patterns in how candidates think, communicate under pressure and demonstrate behavioural alignment before a human interview takes place.
What AI tends to assess (explicitly or implicitly):
- Clarity of thought: Can you articulate a point logically and concisely?
- Behavioural consistency: Do your examples align with stated values and decisions?
- Communication under constraint: Can you land a message without excessive context?
- Emotional regulation: We know that tone, pacing and composure weigh more heavily than charisma
- Leadership patterns: What do your answers reveal about accountability, ownership and decision logic?
Tools such as Pymetrics, used by firms like JPMorgan and Morgan Stanley, and HireVue used by Apple and Deloitte, are not simply assessing what you say, but how you think, decide and communicate. Effective preparation therefore extends beyond rehearsing answers to developing a deliberate, structured approach to performance that accounts for both human and algorithmic evaluation.
Structuring Content Effectively
AI systems perform best when your thinking is structured, so a simple, consistent framework ensures ideas are expressed logically and efficiently. A practical approach that supports accurate AI screening and human review is:
- Context
- Decision
- Outcome
- Learning
Concise responses are typically more effective; overly long or convoluted answers can dilute key points. Thoughtful use of role-specific language and weaving in relevant behavioural keywords also signals that you are aligned with both the role and organisational expectations.
Practice and Feedback
Deliberate, iterative practice is essential. At City CV, this broader perspective is embedded into interview preparation, reflecting how modern systems actually operate. Rather than focusing solely on answers, preparation integrates structure, delivery, intonation, behavioural alignment and AI-specific considerations alongside traditional human interviews.
Clients work on:
- Structuring thinking in a way that performs well across AI screening and human review
- Communicating with clarity and composure under time constraints
- Aligning verbal and non-verbal signals with leadership and behavioural expectations
- Practising in realistic, AI-style interview environments with targeted feedback
This approach recognises that interview success today requires more than rehearsed responses. It requires an understanding of how decisions are made, how signals are interpreted and how to perform confidently.
For candidates navigating AI-enabled hiring processes, this level of preparation ensures they are not only ready to be assessed but also positioned to perform at their best.