"As technology like generative AI reshapes the workplace, it's easy to assume that pursuing greater technical competence will help ensure a long and lucrative career. Additionally, by this logic, firms should be searching for those with specialized knowledge when seeking to fill entry level roles amid a tough market. But according to our new research, foundational skills-like collaboration, mathematical thinking, and adaptability-may prove much more important for both individuals and companies."
"Moh Hosseinioun is an Alfred P. Sloan Foundation Postdoctoral Fellow in Management & Organizations at Kellogg School of Management. His research shows how the organization of skills and technologies shapes firm performance. He applied computational methods to translate large-scale data into actionable insights for leaders on structuring people and technology, and for individuals navigating changing career paths, particularly, in AI era."
Technology such as generative AI is reshaping workplaces and prompting assumptions that greater technical competence and specialized knowledge will secure long, lucrative careers. Large-scale data analysis using computational methods translates labor and skills patterns into actionable insights for structuring people and technology. The organization of skills and technologies directly shapes firm performance. Foundational skills—collaboration, mathematical thinking, and adaptability—offer stronger advantages for individuals and companies than narrowly specialized technical expertise, especially for entry-level roles in tight labor markets. Firms prioritizing employees with foundational cognitive and social skills can improve resilience and adaptability amid technological change.
Read at Harvard Business Review
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