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Accenture CEO Julie Sweet asks new hires what they’ve learned in the last 6 months: ‘If they can’t answer that question, we know they’re not a learner’

 


In today's rapidly evolving business landscape, particularly with the rise of artificial intelligence, employers are developing innovative approaches to identify candidates who can adapt and thrive. A notable example comes from Julie Sweet, the CEO of Accenture, who employs a remarkably straightforward yet revealing interview question.

During her appearance on the *In Good Company* podcast, hosted by Norges Investment Bank CEO Nicolai Tangen, Sweet shared her universal screening question: "What have you learned in the last six months?" The beauty of this question lies in its simplicity and flexibility. Whether interviewing consultants or technology specialists at the $64 billion technology company, every candidate faces this crucial inquiry. Sweet emphasizes that the specific content of the learning isn't what matters – it could be as simple as learning to bake a cake. The key is the candidate's ability to articulate any learning experience at all.

The significance of this approach becomes clear when we consider the current business environment. When Sweet herself was asked about her recent learning experiences, she focused primarily on artificial intelligence, reflecting its growing importance in corporate strategy. This aligns with her recent activities, including discussions with 30 CEOs over two months, where AI applications dominated the conversations. Interestingly, she also mentioned learning to bake bread, demonstrating that learning can span both professional and personal domains.

This shift in recruitment strategy reflects a broader transformation in how companies approach hiring in the age of generative AI. Traditional job specifications are being redefined across all departments, necessitating employees who can evolve with technological advances. This perspective is echoed by other industry leaders, such as LinkedIn's COO Daniel Shapero, who specifically probes candidates about their AI usage. Shapero believes that comfort with AI technology indicates a candidate's potential to contribute to an organization's AI-centric future. He notes that acceptable responses can range from using AI for personal tasks like planning family trips to professional applications like meeting note summarization and creative ideation.

The evolving nature of work has elevated the importance of human resources departments. As Sweet points out, talent management and training methodologies require complete reformation to address these new challenges. This places HR at a crucial intersection of technology adoption and workforce development, making it one of the most vital fields in today's business environment. The focus on both AI integration and talent development has become a top priority for CEOs, highlighting the strategic importance of effective human resource management in navigating this period of technological transformation.

This evolution in hiring practices reflects a fundamental shift in how businesses evaluate talent, moving from static skill assessments to measuring a candidate's capacity for continuous learning and adaptation – essential qualities in our rapidly changing technological landscape.

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