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Skills-first is the new rule: hire for capability, map work to skills, and learn, unlearn, relearn. Practical steps: skill inventories, AI fluency, and metrics that track impact.

Categorized in: AI News Human Resources
Published on: Dec 07, 2025
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The Skills-First Era: Redefining Talent in an AI-Transformed Workplace

Bhubaneswar, 6 December 2025 - XIM University's School of Human Resource Management, in association with XIMAHR, hosted an HR Symposium focused on a clear message: a skills-first approach is now central to hiring, development, and mobility.

The session opened with Dr. Andrew Dutta, Dean, who called out shifting skill gaps created by AI and the need to rethink HR practices at their core. Father S. Antony Raj urged students and professionals to build self-reliance and balance degrees with demonstrable capability. Bobby Pattnaik, President of NHRDN Bhubaneswar Chapter and AVP & HR Business Leader at Infosys, warned against complacency and encouraged proactive action in a VUCA context. Vice Chancellor Father Dr. K. S. Casimir S.J. reinforced a simple rule: learn, unlearn, relearn - and do it often.

Keynote speaker Priyadarshi Mohapatra, Founder and CEO of CureBay, detailed how to stay relevant by anchoring careers and talent systems in skills, not titles.

What "skills-first" means for HR

  • Hire for capability, prove with evidence: portfolios, projects, and practical tasks over pedigree alone.
  • Replace static roles with skill building blocks: map work to skills, not just job descriptions.
  • Work with adjacencies: upskill close-to-role skills to accelerate internal mobility and reduce time-to-productivity.
  • Short learning cycles: frequent, focused training tied to live projects beats long courses detached from work.
  • AI fluency for everyone: baseline literacy for HR, managers, and teams to collaborate with AI safely and effectively.

Speaker highlights you can act on

  • Dr. Andrew Dutta: Closing skill gaps requires new HR systems - skill taxonomies, capability academies, and skill-based mobility.
  • Father S. Antony Raj: Encourage self-reliance; value demonstrable skills alongside degrees.
  • Bobby Pattnaik: Don't be the frog in warm water. Spot weak signals early and pivot fast.
  • Father Dr. K. S. Casimir S.J.: Three shifts: automation, fluid skills, and organisational agility. Those who learn, unlearn, and relearn will lead.
  • Priyadarshi Mohapatra: Relevance comes from skill currency, not job titles. Keep building, show results.

Your 90-day HR playbook

  • Map the work: Identify 10 priority roles. List top skills, critical adjacencies, and current gaps with hiring managers.
  • Rewrite job posts: Convert five roles to skills-first descriptions. Keep must-have degrees only where legally required.
  • Stand up a skills inventory: Tag employee profiles with core skills and proficiency. Start with one function and expand.
  • Pilot skills-based assessments: Add work samples, structured interviews, and practical tasks to two hiring pipelines.
  • Launch an AI upskilling sprint: 6-8 hours for HR and people managers covering prompts, evaluation, policy, and bias checks.
  • Internal gigs: Post short projects that let employees apply and grow adjacent skills. Recognise outcomes publicly.
  • Policy and guardrails: Publish acceptable use guidelines for AI, data privacy, and human review for critical decisions.

Hiring and development that reflect skills

  • Evidence over claims: portfolios, Git repos, case write-ups, or simulations tied to real work.
  • Assess for "learnability": quick problem-solving tasks and reflection on how candidates learn new tools.
  • Short-cycle learning: micro-courses tied to project deliverables, with manager feedback loops.
  • Alternative pathways: apprenticeships, returnships, and bridge programs to widen the funnel.

Metrics that matter

  • Time-to-productivity for new hires and internal movers.
  • Internal fill rate for priority roles.
  • Skill gap delta: before/after proficiency for targeted skills.
  • Learning completion and on-the-job application within 30-60 days.
  • Quality-of-hire: first-90-day outcomes tied to skill signals used in hiring.

Responsible AI, practical steps

  • Human-in-the-loop: keep people accountable for hiring, promotion, and performance decisions.
  • Bias checks: review data sources, prompts, and outputs for adverse impact.
  • Transparency: tell candidates and employees where AI assists and where humans decide.

Useful resources

Build AI fluency for HR teams

If your HR function needs a structured way to get hands-on with AI tools and safe-use practices, explore practical course paths by job role.

The message from XIM University's symposium was clear: skills are the unit of value. Treat them as your system of record, and your hiring, learning, and mobility will follow.


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