How AI is reshaping recruiting efforts and strategies
- Key insight: AI may be the reason why all surveyed employers are abandoning traditional recruitment strategies.
- What’s at stake: HR departments struggling to source candidates as experienced technology professionals are scarce.
- Support data: 72% of employers surveyed experience a specific category of talent shortage.
Source: AI generated bullets with editorial review
Content processing
In the race to create an AI-savvy workforce, many organizations are being forced to rethink their entire strategy for recruiting talent and HR leaders.
Ninety-seven percent of organizations
“The biggest question right now is how do we acquire these AI capabilities and how can we ensure that we build a skill set for the future through inbound talent,” said Anastasia Pshegodskaya, director of talent acquisition at Remote. “We need to bring in not just people who can do the job right now, but people who have the AI and automation know-how to make the company successful in the longer term.”
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According to Pshegodskaya, AI has fundamentally changed
Pshegodskaya said HR and benefits departments are not prioritizing AI in their recruiting efforts. Leaders are also leading by example with confidence on their own
“The nature of our roles is changing and evolving,” Pshegodskaia said. “And while I don’t think every role will be replaced by AI, I really do think the work of HR and benefits professionals will be different.”
New recruitment strategies to better support benefit leaders
Beyond recruiting, prioritizing AI is also transforming HR
After experimenting with a range of AI tools over the past year, Remote has seen the benefit of having its team focus on AI. According to survey findings, the company has increased HR productivity by 30%, allowing leaders to make more hires than a year ago.
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“I really believe that AI can help make better informed decisions and solve procurement issues and problems because they were so complex,” Pshegodskaya said.
However, Pshegodskaya recognized this
“It really starts with making sure you’re constantly experimenting as a team,” Pshegodskaya said. “Acknowledge that not all experiments will bring you the results you expect and try and fail and try again until you succeed.”
