AI That Actually Improves Performance: Where’s the Measurable Impact? 

AI adoption across recruitment is no longer optional — it’s expected. From sourcing tools to automation, content generation to data analysis, most firms are now “using AI” in some form. But beneath the surface, a critical gap remains: measurable impact.

Are your tools genuinely improving fill rates, increasing consultant productivity, and strengthening decision quality? Or are they adding noise, duplicating effort, and creating the illusion of innovation without commercial return?

This session moves beyond AI theatre and focuses on performance. We’ll examine where AI is demonstrably improving outcomes; faster shortlists, stronger candidate matching, improved outreach conversion, better forecasting, and sharper client insight, and where adoption is still fragmented or superficial.

We’ll explore:

• Where AI is materially improving fill rates, productivity, and quality of decision-making
• Common adoption gaps that limit measurable commercial return
• How to embed AI into daily workflows rather than one-off use cases
• Metrics that demonstrate real performance impact (not just activity)
• Clear, practical AI commitments that drive measurable outcomes

This isn’t about chasing every new tool or replacing human judgement. It’s about using AI deliberately to strengthen performance where it counts.

The Recruitment Network is committed to protecting and respecting your privacy, and we’ll only use your personal information to administer your account and to provide the products and services you requested from us. From time to time, we would like to contact you about our products and services, as well as other content that may be of interest to you.