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Agile Gurugram & Delhi National Capital Region 2026 _ The AI Shift_ Skill Gaps & the Changing Workplace by Rahul Jain

This document outlines how AI is reshaping the world of work m- from current adoption trends to the skills gap it's creating for early-career talent.

Technology◦
Internal FUTURE OF AI IN WORKPLACE · KEYNOTE The AI Shift Skill Gaps & the Changing Workplace What it means for the next generation walking into the workforce Rahul Jain Chief Strategy Officer, PNB Housing Finance Ltd.
Internal WHERE WE STAND TODAY The Shift Is Already Here 88% of organizations now use AI in at least one business function Stanford HAI, AI Index 2026 52% of employees now use AI in their role — up from 21% three years ago Gallup, Q2 2026 The question for most workplaces isn't whether AI arrives — it's how quickly people learn to work alongside it. 02
Internal Augmentation AI takes on drafting, summarizing, and analysis so people can focus on judgment, strategy, and relationships. This is the larger share of today's AI use. Automation Some repetitive, well-defined tasks are handed over entirely — data entry, first-pass coding, routine support tickets. Whole tasks change hands, not whole jobs. NOT ONE STORY, BUT TWO Two Forces at Once PROJECTED GLOBAL IMPACT BY 2030 97M jobs created 85M jobs displaced +12M net new jobs 03
Internal NOT EVENLY SPREAD Where the Impact Is Concentrated Cognitive, desk-based work is furthest along Tech and finance lead because so much of the work is analysis, writing, and code — tasks language models handle well today. Physical, hands-on, and heavily regulated fields are catching up more slowly. 04
Internal THE PART THAT MATTERS MOST TO YOU What's Changing for Early-Career Talent 40% of working hours across all occupations could be touched by large language models Accenture ↓20% drop in employment for software developers aged 22–25 since 2024 Stanford HAI, AI Index 2026 Entry-level, highly structured tasks are exactly what today's AI tools do best — which is why graduates feel this shift first, not last. 05
Internal THE OTHER SIDE OF THE LEDGER New Kinds of Roles Are Emerging AI Workflow Designer Redesigns how a team's work gets done once AI tools are part of the process. AI Output Evaluator Checks AI-generated work for accuracy, bias, and fit before it ships. Human–AI Collaboration Lead Helps teams adopt tools well and builds trust in how they're used. AI Governance & Ethics Sets policy on responsible, compliant use of AI inside an organization. 06
Internal Distinctly Human Skills ✦ Critical thinking & judgment ✦ Clear written and verbal communication ✦ Creativity and original framing ✦ Empathy and relationship-building ✦ Ethical reasoning under ambiguity AI Fluency Skills ✦ Prompting and iterating effectively ✦ Evaluating AI output for errors and bias ✦ Basic data and statistical literacy ✦ Knowing which tool fits which task ✦ Comfort learning new tools quickly WHAT TO INVEST IN Skills That Will Matter Most 07
Internal BEHIND THE HIRING DECISIONS What Employers Are Actually Doing 63% of companies plan to reskill existing employees rather than hire new ones specifically for AI-related work. In practice, this means: – AI literacy is becoming a baseline expectation, not a specialized add-on – Internships and first roles increasingly assume comfort with AI tools – Adaptability is weighed as heavily as any specific technical skill 08
Internal Use AI tools weekly Build real fluency through hands-on use, not just reading about it. Build a visible portfolio Show projects where you used AI thoughtfully and can explain your role. Sharpen human strengths Writing, speaking, and judgment set you apart as tools get commoditized. Stay curious and flexible The specific tools will change; the habit of adapting fast will not. PRACTICAL NEXT STEPS How to Prepare, Starting Now 01 02 03 04 09
Internal BEFORE YOU GO Three Things to Remember 1 2 3 AI is augmenting far more jobs than it is eliminating — but the skills those jobs require are shifting quickly. Entry-level, well-structured tasks are the most exposed today, which is exactly why AI fluency can no longer wait until "later." The advantage goes to people who pair sound human judgment with real comfort using AI tools. 10
Internal Thank You Questions & discussion FUTURE OF AI IN WORKPLACE