Category: AI & Talent Tech
- Kevin Wheeler
I am old enough to remember recruiting before any ATS systems or computers. We had file cabinets, folders, and Rolodexes for contact information.
I think it was around 1990 when Resumix, one of the first ATSs, appeared. Its resume-parsing/extraction technology promised to make it easy to search resumes and connect with candidates. It was revolutionary and exciting. We felt like we were on the cusp of an easier, more automated life. It didn’t prove to be either easier or more automated. It actually created more work. Not much different in a way than some recruiters now feel about AI.
- Jacklyn Giannitrapani
When organisations talk about HR technology transformation, they often focus on the system. The features. The workflow. The timeline. All important, of course, but none of those things guarantee impact. What really makes a difference is how intentionally you design for people, for change and for measurable value right from the start.
- Jo Vohland
At ATC2026, leading Talent Tech innovators showed how AI and smarter work design are transforming hiring, mobility, and workplace health. Explore post-event resources packed with insights, stats, and tools to help you hire smarter, retain better, and build future-ready teams.
- Ian McCreery, Adam Godson, Jo Vohland
- Derek Del Simone
In 2023, Abano faced acute workforce shortages, particularly in clinician and regional roles, exacerbated by legacy systems, fragmented recruitment processes, and heavy reliance on recruitment agencies. To support business growth and access to care, Abano needed to rapidly scale hiring capacity while improving quality, reducing costs, and delivering a markedly better experience for candidates and hiring managers.
- Jo Vohland, Nick Duggal, Marrin-Boyd Andrews
Data Privacy Day 2026 is a useful moment to ask the question: do we genuinely know how candidate data is handled? Recruiters and Hiring Mangers find themselves working in a new environment – one that involves easy to use Generative AI tools installed on our phones, computers and within our hiring systems.
- Aubrey Blanche
My goal wasn’t to warn people or reassure them about the ongoing wave of AI-fueled transformation. I wanted to recalibrate everyone’s expectations about AI and what it means for workforces around the world.
- Joel Knudsen, Jo Vohland
All Front End and Back End Engineers at Canva now use AI tools daily. They leverage AI to prototype ideas, understand their large codebase, and generate code. This new way of working meant that job interviews didn’t mirror the new engineering workflows. The old model was syntax recall and algorithm drills but, the new and now ‘real’ work was prompting, code review and trade-offs. We needed better signal on engineering judgment so we evolved our hiring practices to match the new tools and practices being used.
- Marrin-Boyd Andrews
The AI conversation has shifted. One model won’t cover every need: different teams demand different strengths. Leaders now face the task of orchestrating multiple LLMs, balancing speed with safety, creativity with compliance. Success comes from governance, IP protection, and building internal systems (sometimes entire GPTs) that turn AI into a strategic capability.