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Featured: Women in Tech Global Conference 2026 Virtual-first
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Women in Tech Conference

12-15 May 2026
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WOMEN IN TECH GLOBAL CONFERENCE 2026

Maham Khalid

CEO/ Founder at Revohub

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"The Invisible Career Gap in the Green Grid: How Women Can Use AI to Lead the Fastest Transitions of the Next Decade"

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Session: The Invisible Career Gap in the Green Grid: How Women Can Use AI to Lead the Fastest Transitions of the Next Decade

As AI embeds itself into the DNA of workforce planning, career mobility is no longer governed by individual effort, it is governed by systems. Despite record levels of education, a structural "Invisible Career Gap" persists, where high-potential women remain under-positioned because they are misaligned with how AI-driven systems now evaluate capability and leadership.

This session moves beyond the "skills accumulation" trap. We examine the critical shift from talent to signal clarity, exploring how AI-mediated labor markets convert experience into decision-making inputs. Simultaneously, we look at the Green Grid economy, clean tech, ESG, and digital operations as a high-velocity frontier for leadership.

In this session, we will decode:

- Systems vs. Skillsets: Why traditional advancement strategies fail in an AI-governed hiring landscape.
- The Role Readiness Framework: Moving from "qualified" to "execution-ready" for high-growth sectors.
- Decoding Demand: Using workforce intelligence to identify leverage points in the sustainability and digital transformation sectors.

Attendees will gain a systems-level framework to navigate the next decade of work, transforming AI from a barrier into a tool for intentional, future-aligned career acceleration.


Key Takeaways

  • Women who understand how AI-driven labour-market systems evaluate readiness, signal capability, and allocate opportunity can move faster, lead earlier, and design careers with far greater leverage in the Green Grid economy.
  • The fastest career transitions no longer come from accumulating more credentials, but from aligning existing experience to emerging roles using labour-market intelligence and AI-driven role mapping.
  • The Green Grid economy offers a structural advantage for women because its roles are cross-functional, outcome-oriented, and still being defined—creating space for leadership without legacy gatekeeping.
  • Career resilience in the next decade will depend on treating careers as systems, not ladders—continuously reassessing readiness, recalibrating skills, and positioning for demand as roles evolve.


Bio

Maham Khalid is an award-nominated innovation leader and strategic changemaker with 15+ years of leadership experience spanning workforce development, technology, sustainability, and ESG-aligned transformation. Over the course of her career, she has designed and led large-scale talent and workforce initiatives focused on employability, reskilling, and aligning human capability with rapidly evolving labour-market demands.

Maham has held senior leadership roles across the public, private, and nonprofit sectors, delivering workforce programs in collaboration with organizations such as the University of Toronto, The Home Depot, and The Salvation Army. This cross-sector experience has given her deep, practical insight into how skills gaps emerge and how they can be systematically addressed through data-driven, role-aligned workforce design.

She currently serves as Vice President of CIPS, Canada’s IT professional body, where she advances ethical technology adoption, professional standards, and future-ready workforce practices. Recognized as a credible ecosystem builder, Maham brings together employers, institutions, and communities to translate learning into measurable workforce outcomes.

She is the founder of Revohub, a workforce intelligence platform created from firsthand exposure to a persistent global challenge: individuals invest in learning, yet systems fail to convert that effort into real job readiness. Revohub exists to close that gap, aligning skills, pathways, and opportunity with what economies actually need.


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