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Steps to building a skills-based hiring strategy
Traditional hiring methods—relying on resumes, experience, and outdated job descriptions—are no longer effective. With 85 million jobs projected to be unfilled by 2030, companies need a skills-first hiring approach to stay competitive. However, 92% of organizations lack reliable workforce skills data, making it difficult to identify skill gaps, match talent to roles, and make informed hiring decisions. A skills-based hiring strategy starts with accurate, AI-driven workforce data to map job roles, define skill-based job descriptions, and optimize hiring decisions. Companies that adopt this approach can reduce hiring costs, improve internal mobility, and ensure fair, skills-based compensation.
March 15, 2025

Why traditional skill gap analysis is broken—And how AI fixes it
Traditional skill gap analysis is outdated, unreliable, and too slow to keep up with today’s evolving workforce. It relies on self-reported assessments, manager bias, and static surveys—leading to inaccurate data, misaligned reskilling efforts, and costly external hiring. AI-driven skill intelligence eliminates bias, updates workforce skills in real time, and predicts future talent needs to ensure businesses stay competitive. By automating skill tracking and workforce planning, AI helps organizations proactively reskill employees, reduce hiring costs, and optimize talent mobility.
March 14, 2025

Closing the skills gap: A playbook for reskilling in large enterprises
Hiring isn’t enough—closing skill gaps requires a skills-first approach powered by AI. Learn how AI-driven reskilling helps enterprises reduce hiring costs, improve workforce agility, and future-proof their talent strategy.
March 13, 2025
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