GoMeasure has published The 16 Most Significant HR Struggles in the AI Era — a synthesis of recent global and India-relevant research (WEF, Deloitte, Microsoft, McKinsey, Gallup, Workday, Deloitte-Nasscom). The central finding: HR's biggest AI-era problem is not training people to use AI, but determining how jobs are changing, what people can genuinely do with and without AI, and whether adoption produces measurable value.
The numbers frame a capability-evidence crisis: 63% of employers cite skills gaps as a major transformation barrier, 39% of current skill sets may change or become outdated by 2030, yet only 54% of leaders report a clear view of workforce skills.
The report details all 16 struggles with the required response for each, how the problem differs across 12 industries, and a six-step measurement architecture — Discover, Diagnose, Develop, Demonstrate, Decide, Govern.
Every one of the 16 struggles reduces to the same missing layer: trusted evidence of human capability. Skills data (titles, credentials, course completions) is not skills evidence — and you cannot redesign work, verify AI-readiness, prove reskilling ROI or defend a people decision on data you don't have.
That layer is what GoMeasure is built to be. We baseline and re-verify capability from demonstrated work — assessments, AI interviews, work simulations, 360° and telemetry — and measure the human contribution when AI is allowed (framing, inspection, correction, judgement), so HR can move from administrative records to continuous, evidence-based capability intelligence.
The strongest market opportunity isn't another assessment catalogue or course library — it's a workforce capability-evidence layer. GoMeasure measures whether your people can perform, decide and remain accountable in an AI-enabled workplace.