AI doesn't just pattern-match words; it converts language into mathematical vectors that capture meaning, so when you describe your skills semantically—not just your job title—the AI can find connections you wouldn't naturally make. This is why describing what you actually do matters more than listing credentials; the deeper representation catches subtle skill overlaps.
Embeddings are a way AI systems represent words, skills, and ideas as mathematical relationships, allowing the AI to recognize that concepts like leadership, mentoring, and team development are closely connected even when the exact words differ.
For career pivoters in midlife, this matters because AI tools using embeddings can surface transferable skills and hidden connections between your past experience and new roles you have never considered, revealing opportunities that a simple keyword search would miss entirely.
Peri can explain this concept, give practical examples, help you decide whether it applies to your situation, or recommend a journey if appropriate.
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