The skills shift, and where we fit
Developments reshaping the AI-era workforce — each with the GoMeasure take.
AI hiring is shifting from people who build AI to people who use it well
PwC finds ~82% of Singapore’s AI job postings are AI-user roles, not developer roles. Employers now need to measure what CVs and coding tests miss: can this person use AI to improve a real business workflow?
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India is entering the “agentic workforce” era — and the enterprise question just changed
Microsoft finds 32% of Indian AI users are already “Frontier Professionals” directing AI agents — double the global rate. The question shifts from “have people learned AI?” to “can they direct, supervise and verify it?”
India is institutionalising agentic-AI skilling at national scale
NIELIT and Intel India launched two national agentic-AI programs — a first step toward training one crore youth in AI. The opportunity for GoMeasure isn’t the training; it’s the independent measurement layer around it.
Skills intelligence is becoming a business capability — not just an HR program
Bread Financial is wiring skills intelligence into workforce planning, EY is paying up to $25k for demonstrated skills, and 80% of Indian employees now use AI weekly. Skills data is becoming near-real-time decision data.
“Verified skills” is becoming the industry’s language — so the moat moves to the full lifecycle
Assessment vendors are expanding from point tools into enterprise skills-validation platforms and adopting “demonstrated ability over résumés” language. When everyone claims verified skills, the differentiation is evidence across the whole capability lifecycle.
From “give employees AI tools” to “prove they can actually work with AI”
Coforge launched its “AI Adoption Fabric” — focused on workforce readiness, operating-model redesign and measuring adoption — and India’s IT sector is shifting to outcome-based billing. The problem is moving from deploying AI to proving effective use.