CHRO Dialogues: Q2FY27 Bangalore
When
12 August 2026
Time
9:00AM-12:30PM
Arrival
9:00 AM
Where
The Oberoi, Bangalore
For whom
CHRO Forum
Departure
12:30 PM
Overview
Key Takeaways
Speakers
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CHRO Dialogues: Q2FY27 Bangalore
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Session 1: Jobs, Tasks and the AI Transition: What Workforce Strategy Gets Wrong
9.00 am – 10.30 am
Almost daily, the headlines scream about how many jobs AI will eliminate, yet most organisations still lack a clear framework for what work may transition to AI, when, and why. Reskilling budgets, headcount plans and org-design decisions are being made on the basis of forecasts that are often wrong, in both direction and magnitude.
In this session, Sridhar Krishna will outline a model he has developed at the Takshashila Institution for assessing which functions are ready to transition to AI, based on technology maturity, return on investment, the cost of errors and explainability. Drawing on his work leading Takshashila's 20 Million Jobs project and its AI Governance research, he will map what this means for HR: which roles will change first, what new oversight functions may emerge to manage AI systems and how reskilling investment should be sequenced rather than front-loaded.
Session 2: From Framework to Practice: An Open House on AI, Tasks and Workforce Planning
11.00 am – 12.30 pm
Frameworks are only useful once applied to a real organisation. This open house, guided by Sridhar Krishna, gives CHROs room to test their own task inventory in real time: where their functions actually sit on the AI-readiness curve, and where reskilling and role redesign decisions should happen first.
The session will explore:
Mapping your own task inventory
Which processes in your organisation genuinely meet the AI-readiness bar today, and which only appear to do so?
How do you weigh ROI against the cost of errors when deciding whether to automate a task?
What internal signals suggest a task is closer to AI transition than your leadership currently assumes?
Reskilling and role redesign
Where should reskilling budgets go first, and how do you sequence this without disrupting delivery?
What does the ‘new role to manage AI’ actually look like inside your organisation, and who owns it?
How do you communicate this shift to employees without triggering unnecessary anxiety?
Making the case to the board
How should CHROs frame AI-linked workforce decisions to secure board-level buy-in?
What metrics show responsible, evidence-based AI adoption rather than reactive cost-cutting?
How much of this is a technology conversation versus a change-management one?
Key Takeaways
Tasks, not jobs: why headline job-loss forecasts overstate near-term disruption, and what determines whether a function transitions to AI
Where AI hits first: how technology maturity, ROI, error-cost and explainability together define which functions are (or are not) AI-ready
The new roles being created: why managing and overseeing AI systems is likely to offset some of what gets automated, and what that means for org design
Sequencing reskilling: where upskilling investments should go first, and how to pace the transition without disrupting delivery
Speakers