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Faster Hiring with AI in Interview Preparation

Sace cut 3-hour processes to 30 minutes, Vodafone creates interview lists 90% faster. How AI accelerates hiring speed.

Farah MitchellFarah Mitchell·
Faster hiring with AI visual

In today's competitive job market, "speed" has become one of the most critical success factors for companies. Discovering the ideal candidate before competitors do and closing the process quickly has turned into a never-ending marathon for Human Resources departments. Technology, however, is giving HR professionals a tremendous boost in this race. Recent research conducted by Gugulothu Venkanna and team (2025) proves that using generative AI tools in interview preparation and candidate screening processes reduces preparation time by approximately 70%. This striking figure enables HR departments to become far more agile and dynamic in their operations.

Time savings: Hours become minutes

In traditional interview processes, HR professionals spend hours per candidate reviewing resumes, matching them against job descriptions, and preparing the right questions. The AI-powered interview simulator developed by Venkanna and colleagues compresses this administrative burden into mere seconds. The tool demonstrates that AI can analyze a candidate's resume and job description to generate personalized interview questions within seconds. This automation lifts the manual workload off HR teams and opens up strategic breathing room.

Sahu's (2025) study supports this by noting that AI does more than just generate questions; it can also design real-time technical tests and behavioral analyses. As a result, the recruiter has a comprehensive data set on a candidate's technical and communication profile before even entering the interview. The research indicates that such advanced preparation tools improve the quality of candidate evaluation while eliminating uncertainties in the preparation process.

Real-world examples: The Sace and Vodafone experience

The time advantage delivered by AI manifests not only in laboratory settings but also within large corporate environments. A study by Davide Marchetti and Rita Scardovi (2024) documents how the Italian export credit institution Sace used an AI-powered chatbot to accelerate its operational processes. Sace reduced information gathering and data preparation processes that previously took 3 hours down to just 30 minutes thanks to AI. This represents over 80% acceleration in process management.

Another example featured in Marchetti and Scardovi's (2024) research is Vodafone, which uses AI at the candidate pre-screening stage to optimize interview preparations. According to the data in the same study, Vodafone creates interview shortlists 90% faster by leveraging AI-generated "suitability scores" rather than manually screening thousands of resumes. This enables recruiters to focus exclusively on the highest-potential candidates, driving efficiency to its peak.

Operational agility and competitive advantage

In competitive markets, being the "first to reach" talent is of paramount importance. Research conducted by Diyin, Bhaumik, and Wang (2024) demonstrates that AI-powered recruitment processes significantly reduce companies' operational costs while increasing decision-making speed. The research argues that these technologies free HR departments from cumbersome administrative structures, transforming them into "agile" units capable of responding instantly to market changes.

A study by Karolina Drela and team (2025) states that AI liberates HR professionals from routine tasks, enabling them to take on more creative and strategic roles. Drela et al. (2025) emphasize that this allows HR teams to dedicate far more time to areas requiring a "human touch," such as building emotional connections with candidates and conducting cultural fit analyses.

The impact of faster candidate response on employer brand

Candidates do not appreciate waiting weeks for a response to their applications. Research by Luciana-Floriana Poenaru and Vlad Diaconescu (2025) notes that Gen Z candidates in particular expect fast feedback and technological transparency. Poenaru and Diaconescu (2025) state that companies that shorten preparation time through AI can respond to candidates much faster, thereby strengthening their employer brand.

Nicole Jurado's (2025) study reveals that candidates perceive a company's use of AI for efficiency as an "indicator of innovation." According to Jurado's data, candidates who experience a fast and structured AI interview process report 85% greater trust in the company's professionalism.

Thus, AI interview tools are transforming recruitment from a "burden" into a "strategic advantage." The 70% preparation time advantage demonstrated by Venkanna et al. (2025) represents not just time savings but also higher-quality decisions and more satisfied candidates. Adopting AI solutions for your organization boosts operational speed while positioning you at the forefront of tomorrow's talent wars. The data shows that HR leaders who integrate technology into their operations are reshaping not just efficiency but the entire future of their organizations.

References

  • Diyin, Z., Bhaumik, A., & Wang, D. (2024). Artificial Intelligence's Impact on Hr and Talent Acquisition. Journal of Electrical Systems, 20-11s, 4879-4885.
  • Drela, K., Grabowska, A., & Brojak-Trzaskowska, M. (2025). The Future of AI in HRM. A Case Study of the HR Decision-Making. Proceedings of the International Conference on Computer Science and Communication Engineering.
  • 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.
  • Marchetti, D., & Scardovi, R. (2024). Artificial Intelligence and Human Resources: innovative trends and main impacts. Master Thesis, Politecnico di Milano.
  • 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.
  • Sahu, A., Khare, R. K., Singh, Y. R., & Sahu, Y. (2025). AI Interviewer Using Generative AI. International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025).
  • Venkanna, G., Yogesh, D. M., Rao, J. Y., & Preetham, K. S. (2025). AI Interview Simulator: An Intelligent Hiring & Preparation Assistant. International Conference on Computer Science and Communication Engineering (ICCSCE 2025).
  • Zalaris. (2024). AI in HR management: Leverage technology to slash costs in 2025.