Labor Market and Skills Benchmarking with AI

A global consumer goods company processing approximately 1.8 million job applications annually across 190 countries partnered with AI recruitment and assessment providers beginning in 2016 to overhaul its talent acquisition process. The implementation combined gamified cognitive assessments with AI-analyzed video interviews to screen and benchmark candidates against role-specific competency profiles. According to case study data published by the assessment platform provider, the company saved more than 50,000 hours of candidate interview time over 18 months, achieved more than 1 million pounds in annual cost savings, reduced time to hire by 90%, and increased diversity hires by 16%. The candidate completion rate rose to 96%, compared with 50% under the prior manual process.

In the broader talent intelligence market, adoption is accelerating. A 2025 SHRM analysis found that AI use across HR tasks climbed to 43% in 2025, up from 26% in 2024, reflecting a shift from pilot programs to operational workflows. Ravio's 2026 Compensation Trends report found that AI and machine learning hiring grew 88% year over year in 2025, while the number of unique AI and ML job titles increased by 50%, underscoring the pace at which organizations are building dedicated benchmarking and intelligence capabilities. A 2024 Randstad survey of 12,429 respondents across 15 markets found that while 75% of companies are adopting AI, only 35% of workers had received AI training in the prior year, highlighting a persistent gap between organizational ambition and workforce readiness that benchmarking tools must account for.