How is AI shaping the candidate experience, from the application to the interview to signing on the dotted line? Here to brief us on the current state of AI in human resources is People AI Evangelist, Global HR Futurist, and HR Director at Avalanche Gaming Studios, Johannes Sundlo. Johannes is passionate about driving HR strategies such as workforce modeling, strategic staffing, performance calibrations, and compensation structures that impact the organization. He begins today’s conversation with his thoughts on how candidates use AI for their applications. Tuning in, you’ll learn how to distinguish between helpful AI news and background noise, how AI impacts the traditional vendor selection process, why and how Johannes developed his own ATS, and a close examination of how AI disrupts current HR workflows. We also explore the pros and cons of automating the recruiting process, the margins of error AI is expected to operate in, and the risks and rewards of making your own AI tool instead of waiting for one that you can buy.
Key Points From This Episode:
Johannes’s thoughts on candidates using AI for applications.
Insight into the subsection about AI in HR on his FullStack HR Podcast.
How he distinguishes between real AI news and inconsequential background hype.
Ways in which AI will impact the traditional vendor selection process.
Reasons that Johannes decided to develop his own applicant tracking system (ATS).
How AI disrupts and improves current HR work processes.
The highs and lows of an automated recruiter.
Understanding the acceptable margins of error for AI compared to humans.
Risks and rewards of developing your own AI tool versus waiting to buy it off the shelf.
Why your data is more valuable than you know.
Practical tips to help you create your own AI tools.
Quotes:
“[In AI], it’s hard to sort between what’s hype, what’s real, what’s tangible, [and] what we can ignore. It’s super hard to [make] that distinction, even for me.” — @jsundlo [05:28]
“If we don’t start thinking about how [AI’s] impact will look and feel in the future, we might just end up in a future which we don’t like.” — @jsundlo [09:10]
“Our data is valuable, our data is important, and we too easily give it away right now.” — @jsundlo [36:15]
Links Mentioned in Today’s Episode:
