
Rethinking the Value of Education in an AI-Driven World
In a world increasingly dominated by artificial intelligence, the traditional value of certain degrees is being called into question. During a recent dinner hosted by The Shiro Copr and presented in partnership with ServiceNow, Kelley Steven-Waiss, Chief Transformation Officer at ServiceNow, posed a thought-provoking question to a room full of Chief Human Resources Officers (CHROs): What if computer science degrees were not as valuable as everyone believed?
This idea might seem surprising in a tech-centric environment, but it’s worth considering. As AI continues to reshape industries, the demand for technical skills is evolving. Some experts argue that soft skills—often developed through fields like communications—are becoming more critical than ever.
Steven-Waiss highlighted the importance of skills such as conflict resolution, influence, persuasion, and inspiration, which are typically honed by those with communications degrees. These abilities, she suggested, could become even more essential in an era where machines handle many of the technical tasks.
The conversation comes at a time when tech job postings remain significantly lower than pre-pandemic levels. According to a recent study by Indeed, tech job postings are 36% below pre-pandemic levels, with entry-level tech roles down by 34%. This decline has led to concerns about the future of entry-level positions, especially with the rise of AI technologies that could further reduce the need for human workers in certain roles.
A New Approach to Hiring and Career Development
In response to these challenges, Steven-Waiss proposed an innovative solution: a two-year, entry-level career program designed to help new hires find their place within a company. This program would involve creating a “problem-solving pool” where early-career professionals rotate through different departments to identify where their strengths and passions lie.
She described this model as a modern version of the hustle that previous generations experienced when climbing the corporate ladder. Instead of starting in a fixed role, participants would gain exposure to various areas of the business, allowing them to discover their true potential.
“This is like the new hustle,” Steven-Waiss explained. “People will figure out, ‘I’m really good at engineering,’ or ‘I’m really good at inbound product management’ or ‘I’m really good at finance.’ It’s a problem-solving team with a mission, and they will learn how to collaborate, and we will likely see innovative new solutions that existing teams wouldn’t have come up with.”
Benefits for Companies and Employees
This approach could offer significant benefits for both companies and employees. By creating a flexible workforce, companies could avoid the need to budget for specific jobs in each department. Instead, all members of the problem-solving pool would receive the same salary, making financial planning more predictable for finance departments.
Moreover, this model encourages a broader understanding of the company’s operations. Steven-Waiss emphasized that individuals in the pool would wear the “jersey of the company” rather than a specific department. This perspective allows them to learn about the dynamics of how the company generates revenue and operates across different functions.
Embracing Change and Innovation
As the business landscape continues to evolve, organizations must be open to new ideas and approaches. The concept of a problem-solving pool represents a shift from traditional career paths to a more dynamic and adaptable model. By focusing on collaboration, innovation, and a deeper understanding of the company’s goals, this approach could help businesses thrive in an uncertain future.
Ultimately, the key takeaway is that while technical skills remain important, the ability to solve problems, work effectively with others, and adapt to change may be just as crucial. As AI reshapes the workplace, the value of soft skills and a diverse range of educational backgrounds is becoming increasingly clear.





