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The way you screen candidates is failing.

The sift was built for a world that no longer exists. Your team is drowning in applications that all say the same thing. You’re moving faster and feeling less certain. Somewhere in your last 500 rejections was a candidate who could have been exceptional. You’ll never know which one. More sifting won’t fix this. More automation won’t either. This isn’t a capacity issue. It’s a flaw in the model itself.

And the longer it goes unaddressed, the more you’re left making high-stakes hiring decisions on signals you can no longer trust.

Generate great job ads and optimize your recruitment spend

Finding real talent in the age of AI applications

Application volumes are exploding and AI is accelerating the flood. Some organisations are seeing application numbers rise by over 100% year on year, with an average increase of 43%.

In this session, we broke down the gold standard for modern screening: how to cut through the noise, move fast without sacrificing quality, and isolate genuine talent in minutes, not weeks. Designed for TA teams under pressure, this was about reclaiming control of your hiring process in the age of AI-driven applications.

Can AI Make Hiring More Human?

We’ve invited Hung Lee (Recruiting Brainfood) and Madeline Laurano (Aptitude Research) to debate the findings of the new Human-Centered AI Report.

Expect strong opinions and answers to hard questions, such as why only 15% of employers trust their own AI tools to reduce bias and how to fix that?