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From Job Titles to Capability

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As AI reshapes roles faster than job descriptions can track, organisations are discovering that titles no longer reflect what their people can actually do. This whitepaper from the Beamery Work Intelligence Series makes the case for building a "skills layer" beneath the org chart: grounded in observable work, run as shared infrastructure, and wired into the systems where decisions get made.

Drawing on research from the World Economic Forum, McKinsey, Gartner, and SHRM, this paper covers:

  • The Cost of Getting It Wrong: why decisions made on title-level data lead to bad hires costing up to $240k each, and replacement costs of 50 to 200% of salary.
  • The AI Impact: how 39% of workers' core skills are projected to transform by 2030, leaving static job descriptions out of date before they are even live.
  • The Task-Based Solution: why only 8% of organisations trust their own skills data, and how inferring skills from observable tasks makes the data credible enough for pay, hiring, and mobility decisions.
  • The Transformation Agenda: how a verified skills layer lets CHROs answer the board's AI-readiness question with precision, and a five-stage maturity model to locate where your organisation sits today.

Learn why a skills framework in a spreadsheet is "a photograph, not a system", and how to build a living, auditable capability infrastructure instead.

Keen to see how Beamery can help? Get in touch with us today.