Skills-based workforce planning failed 92% of organisations because static taxonomies, self-reported data, and snapshot approaches couldn't keep pace with AI-driven change. Work intelligence is the missing data layer that completes it.

60% of HR leaders plan to increase AI workforce planning investment by 2027, but most organisations can't answer a basic question: which skills do we have? Learn why skills intelligence is the missing foundation.

72% of companies are increasing investment in talent intelligence, yet most implementations stall. The problem isn't the concept. It's that talent intelligence is a decision layer built without its data foundation: skills intelligence.

Traditional hiring methods—relying on resumes, experience, and outdated job descriptions—are no longer effective.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.

Many organizations have a wealth of skill data, but fragmented systems prevent them from using it effectively. A resilient skill ecosystem enables companies to gain a real-time, unbiased, and actionable view of workforce skills, improving agility, internal mobility, and workforce planning.

Work is changing faster than ever, and traditional workforce planning based on job roles is no longer enough to keep up with disruption. Skills-Based Strategic Workforce Planning (SWP) provides the agility businesses need to adapt to evolving job requirements, emerging technologies, and talent shortages.