Josh Bersin Company Research Shows AI Revolutionizing Talent Acquisition

johnbrown
Email: tejasvereigenmedia@gmail.com

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New research from The Josh Bersin Company with AMS shows AI is transforming talent acquisition: companies are hiring 2-3× faster, improving candidate match quality, and each benefit comes with expectations for transparency and fairness.

Josh Bersin Company Research Shows AI Revolutionizing Talent Acquisition

Josh Bersin Company recently released compelling new research in collaboration with AMS that demonstrates how AI is transforming talent acquisition, fast tracking hiring, improving candidate matching, and boosting recruiter efficiency in ways many HR teams haven’t yet realized.

Key Findings: What the Data Reveals

The study paints a vivid picture of talent acquisition (TA) under change:

Organizations using AI-powered TA tools are achieving 2-3× faster hiring while sourcing candidates more precisely.
Candidates report dissatisfaction with slow hiring processes roughly 60% abandon applications because of delays. Only 17% of applicants made it as far as interview stages in 2024.
Despite concerns around transparency and bias, nearly 60% of recruiters are already using AI in sourcing, screening, or nurturing candidates.

Why Organizations Are Turning to AI in Talent Acquisition

Several pressures are driving TA teams to adopt AI:

The need to reduce cost and time in hiring without compromising quality. AI helps automate administrative burdens and acceleration in matching applicants to roles.
Candidate expectations: job seekers increasingly expect clarity on how AI is used in hiring, regular communication, and faster decisions.
Business adaptability: in volatile talent markets, companies that can move quickly to find and onboard talent have a competitive advantage. AI helps deliver on this agility.

Transformative Impacts & Ripples Across the Ecosystem

The report identifies not just incremental improvements but transformational shifts in how TA operates:

Companies are redesigning role descriptions, interviews, and candidate touchpoints to be more data-driven and candidate-friendly.
Enhanced efficiency: with automation of tasks like scheduling, screening, and initial outreach, recruiters can focus more on strategy and human engagement.
Higher satisfaction: a highlighted example is Foundever, which reported a 95% candidate satisfaction rate from over 200,000 applicants in six months.
Cost savings and improved quality of hires, especially for roles that are hard to fill or require specialized skills.

What Talent Acquisition Leaders Should Do Next

For those looking to keep up or get ahead in this evolving landscape, here are recommended actions:

Audit current hiring workflows to find bottlenecks where AI could help (e.g. candidate screening, interview scheduling, repetitive tasks).
Prioritize transparency with candidates: explain how AI tools are used, ensure communication is consistent, set expectations.
Train TA teams for new skills: using AI tools, understanding bias mitigation, interpreting data.
Measure impact rigorously: time-to-hire, candidate satisfaction, cost-per-hire, and quality of match are good initial metrics.

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johnbrown

Vereigen Media is a global B2B demand-generation company focused on delivering high-quality, privacy-first leads through proprietary first-party data and Verified Content Engagement. By combining technological precision with human validation and in-house operations, they ensure compliance, transparency, and strong conversion rates empowering marketers to connect confidently with decision-makers across tech-driven industries.

Email: tejasvereigenmedia@gmail.com