"As AI reshapes the workplace, managers face an epic decision: How to identify and develop talent when onetime college degree requirements no longer guarantee job readiness. Diana Godwin, general manager of AWS Certifications at Amazon Web Services, has some insight on how certifications are bridging the skills gap and creating pathways for non-traditional candidates. In her role, she leads initiatives to make cloud and AI skills more accessible to early-career professionals and career-changers."
"The fundamental change is that AI is automating many of the routine tasks that entry-level positions traditionally relied on. Today's entry-level jobs are no longer simply about following established processes; they require problem-solving skills right from day one. This means we need to look beyond traditional four-year degrees and focus on whether candidates have developed specific, demonstrable skills that set them apart. The question isn't just "Did you graduate?" anymore; it's "Can you actually do the work?""
AI is automating many routine tasks that once defined entry-level roles, shifting expectations toward problem-solving and demonstrable technical skills rather than just four-year degrees. Employers increasingly seek cloud and AI competencies from day one. Certifications are emerging as validated, accessible pathways to bridge the skills gap and enable non-traditional candidates and career-changers to demonstrate job readiness. AWS Certifications expanded programs at scale, including a Certified Generative AI Developer credential designed to identify and upskill professionals able to implement enterprise-level generative AI solutions. Hiring practices and talent development need to prioritize measurable skills and alternative credentials.
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