As AI reshapes tech, soft skills may trump coding expertise

In the evolving landscape of artificial intelligence and automation, tech leaders are reevaluating the value of traditional computer science degrees. Some now argue that skills in communication, creativity, and adaptability may be more crucial in the AI-driven future than technical coding expertise. Kelley Steven-Waiss, Chief Transformation Officer at ServiceNow, has raised this point in conversations with human resources professionals, suggesting that degrees in communications could be more valuable in a world increasingly managed by intelligent systems. These soft skills—such as conflict resolution and the ability to influence and inspire—could become essential as AI takes over more technical tasks [1].

Steven-Waiss has proposed a model that emphasizes adaptability and problem-solving in early-career roles. Her concept involves a two-year program where new hires, described as digital natives, rotate across departments in a “problem-solving pool.” This approach aims to identify where individuals can contribute most effectively while fostering innovation through collaboration. Unlike traditional career paths, this model removes the need for predefined roles, allowing for greater flexibility in how companies allocate resources and talent. Steven-Waiss argues that this system benefits both the company and the employees, as individuals learn more about the company’s operations and mission [1].

This shift in perspective aligns with broader industry observations. Anton Osika, CEO and co-founder of the AI-driven development platform Lovable, has also noted that computer science degrees are no longer the sole gatekeepers to success in the tech field. Osika emphasizes curiosity, flexibility, and the ability to deliver high-quality products quickly over formal credentials. While he acknowledges that CS degrees remain relevant in theoretical and system-level research, they are less necessary for practical applications where AI tools can streamline development processes [2].

The accessibility of AI-driven platforms is further reducing the barrier to entry in tech. Lovable, for example, allows individuals with minimal coding experience to build software using AI-assisted tools. The company has already attracted significant investment, with venture capital firm Accel reportedly leading a $1.5 billion funding round. This development underscores a growing trend in which AI is democratizing software creation and diminishing the necessity of traditional coding knowledge [2].

As AI continues to reshape the workforce, the focus in hiring is shifting from formal credentials to soft skills and adaptability. Osika highlights the importance of learning quickly and remaining flexible in a rapidly changing environment. In interviews, he looks for candidates who can engage in meaningful conversations and bring fresh perspectives to the table. This approach reflects a broader industry move toward hiring for potential and growth mindset rather than fixed skill sets [2].

The changing perception of computer science degrees does not imply their obsolescence but rather a redefinition of their role in a tech ecosystem increasingly influenced by automation and AI. As AI tools take on more routine and technical tasks, the demand for individuals who can navigate and lead in complex, human-driven environments is likely to grow. The future of tech careers may hinge not on who can code best, but on who can best collaborate, adapt, and innovate in an AI-augmented world [1].

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[1] In the Age of AI, some tech leaders think communications degrees more valuable than computer science degrees (https://fortune.com/2025/08/25/in-age-of-ai-tech-leaders-think-communications-degrees-more-valuable-than-computer-science-degrees/)

[2] Computer Science Degrees Losing Ground in Tech Careers, Says Lovable (https://www.techtimes.com/articles/311672/20250825/computer-science-degrees-losing-ground-tech-careers-says-lovable-ceo.htm)