AI trends reshaping high-volume hiring without the hype

AI trends reshaping high-volume hiring without the hype

By In-house Recruitment
Online event

Overview

In this webinar, you’ll learn practical, compliant AI tactics that speed up high-volume hiring, cut no-shows and boost candidate quality.

In a labour market squeezed by rising costs, volatile demand and shifting candidate expectations, TA teams hiring for high-volume blue-collar roles are under pressure like never before. At the same time, AI legislation is tightening, new technologies are emerging monthly, and hiring teams are expected to deliver more with less. This session cuts through the noise to show what actually works in real-world, frontline hiring. You’ll learn the tactics, tools and trends that genuinely move the needle… without the jargon or over-promising.

What to expect:

• How practical, compliant AI tools can streamline frontline hiring without overwhelming busy teams
• Actionable tips, tricks and best practices for reducing no-shows, improving candidate quality, and hiring fast during economic uncertainty
• The trends that matter now, from upcoming AI regulations to labour market shifts, automation, and the new candidate behaviours reshaping high-volume and blue-collar recruitment

Webinar agenda

10:00 – Opening announcements

10:05 – Guest speaker presentation

10:15 – Case study presentations

10:45 – Live Q&A session

10:55 – Closing comments

11:00 – Event close

Total duration: 1 hour

Event partner

Kiku helps companies hire faster and fairer at scale by instantly screening applicants, surfacing the best candidates, and empowering hiring teams with clear, consistent shortlists. The result: reduced time-to-hire, stronger candidate experiences, and a more efficient hiring process for high volume frontline hirers.

Category: Business, Career

Good to know

Highlights

  • 1 hour
  • Online

Refund Policy

Refunds up to 7 days before event

Location

Online event

Organised by

In-house Recruitment

Followers

--

Events

--

Hosting

--

Free
Jan 27 · 02:00 PST