ABOUT KIM SEELING SMITH

Kim Seeling Smith is an award-winning keynote speaker, Business Futurist and AI strategist helping leaders build relevant, adaptable and AI-ready organizations. A former KPMG-trained CPA with a double major in Accounting and Computer Science, and recent executive study on AI at MIT Sloan School of Management, Kim brings a rare blend of commercial acumen, technical grounding and human insight to the AI conversation. Most AI speakers focus on the technology; Kim focuses on the people who have to use it, because that is where AI strategy succeeds or fails.

She delivers live, bespoke AI demonstrations on stage and draws on research from 5,000+ exit interviews. Her keynotes help leaders understand what is changing, build confidence with AI, rethink the Future of Work, and develop the human capability required to stay valuable in a decade of radical change. Australia-based, speaks globally.

WHAT SETS KIM APART

KIM COMES AT AI FROM THE PEOPLE SIDE.

A former KPMG-trained CPA with two decades in workforce strategy and talent, and research from 5,000+ exit interviews. Almost no senior AI voice has that grounding.

AND SHE IS GENUINELY TECHNICAL.

A double major in Accounting and Computer Science, and recent executive study on AI at MIT Sloan School of Management's Executive Program on AI and its Impact on Business and Society.

SO KIM CAN BE TECHY WITHOUT BEING GEEKY.

She wows audiences with live, bespoke AI demonstrations built for the audience, then connects each demo straight to what it means for their business, their people and their bottom line.

CREDENTIALS AND RECOGNITION

SECTORS AND AUDIENCES

Kim speaks for engineering organizations, banking and financial services, professional services, professional associations, government leadership forums, corporate leadership events and industry bodies across Australia, New Zealand and globally.

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SEE Kim Seeling Smith ON STAGE

Inspiring leaders with practical strategies to future-proof themselves and their businesses
Wowing audiences with AI Demonstrations