"While experience has always been a key factor for job seekers, education level matters less and less compared to skill set, enabling companies to "expand their talent pipelines and keep pace with roles that evolve faster than traditional education can," says Lauren Winans, CEO at human resources consulting firm Next Level Benefits. AI is accelerating the trend, as more organizations seek data science, machine learning, data analytics, and related skills - skills that you essentially learn through doing and repetition, not by going to class."
"Indeed, several companies, including Google and IBM, have dropped their degree requirements for some roles in favor of skills-based hiring. Plus, a quarter of employers said they planned to stop requiring bachelor's degrees this year, instead prioritizing relevant experience, according to a 2025 ResumeTemplates survey of 1,000 US hiring managers. Skills-based hiring benefits both companies and job-seekers Skills-based hiring is an "operational necessity," as organizations adopt AI initiatives and require staff to design, build, and manage AI systems and processes,"
AI is reshaping hiring by shifting emphasis from formal degrees to practical, hands-on skills such as data science, machine learning, and data analytics. Employers are increasingly valuing candidates who demonstrate applied experience and the ability to learn through practice and repetition. Major firms including Google and IBM have removed degree requirements for some roles, widening talent sources and accelerating hiring. A 2025 ResumeTemplates survey of 1,000 US hiring managers found a quarter of employers planned to stop requiring bachelor's degrees this year, prioritizing relevant experience. Skills-based hiring shortens time-to-fill, improves productivity through job-ready hires, and enhances organizational agility for evolving AI initiatives.
Read at Business Insider
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