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Dr. Ashwin Mehta

Dr. Ashwin Mehta

AI Strategist and Organisational Futurist Bridging Tech, Learning, and Human Behaviour

Artificial IntelligenceLeadershipExecutive Coach
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Dr. Ashwin Mehta Podcast Episodes

That Tech Pod

That Tech Pod

Interview with Dr. Ashwin Mehta

November 18, 2025

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About this episode

In this episode, Dr. Ashwin Mehta joins us to talk about how AI is quietly changing the way we think, learn, and make decisions. Drawing from his global career in pharma, government, and consulting, from building digital learning systems in West Africa to leading AI strategy at Bayer — Ashwin shares why he’s dedicated his work to keeping the “human” at the center of technology.

We explore how trust in AI can evolve from confidence to dependency, what “agentic AI” really means for the future of work, and the mental habits we risk losing as machines start thinking for us. Ashwin also reflects on what he still refuses to let AI handle, and why maintaining human judgment may be the ultimate competitive edge in an increasingly automated world.

Dr. Ashwin Mehta helps organizations adopt AI in ways that put people first. With a PhD in digital learning adoption and over 20 years across pharma, government, consulting, and international health, he focuses on the intersection of technology, human capital, and transformation. His experience includes leading AI-enabled learning at Bayer, advising enterprises and governments at Deloitte, and building digital training systems in West Africa during crises.

As founder of Mehtadology, Ashwin designs AI strategies that align technology with human potential, covering topics from large language models to intelligent automation while addressing readiness, infrastructure, and culture. His research and writing offer insights on adaptive learning, AI ROI, and the cognitive impacts of delegating decisions to machines.

Dr. Ashwin Mehta Podcast Episodes

Embracing Digital Transformation

#297 The Myth of Easy AI: What Leaders Keep Getting Wrong

Embracing Digital Transformation

Oct 2025

XTraw AI: Machine Learning and AI Applications

Interview with Dr. Ashwin Mehta

XTraw AI: Machine Learning and AI Applications

Oct 2025

The Future Of The Future

125. Human Cognition In The AI Era.

The Future Of The Future

Aug 2025

The AI for Sales Podcast

The Future of Sales in an AI-Driven World

The AI for Sales Podcast

Jul 2025

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Latest video

AI and the Future of Learning (with Theodor Panayotov)

AI and the Future of Learning (with Theodor Panayotov)

Latest episodes

Embracing Digital Transformation

#297 The Myth of Easy AI: What Leaders Keep Getting Wrong

Embracing Digital Transformation

XTraw AI: Machine Learning and AI Applications

Interview with Dr. Ashwin Mehta

XTraw AI: Machine Learning and AI Applications

The Future Of The Future

125. Human Cognition In The AI Era.

The Future Of The Future

View all episodes →

Key topics

Infrastructure and Culture: How Connectivity and Policy Decide Who Advances with AI

Drawing on his work in India, West Africa, and the Middle East, Ashwin shows how not just networks, but cultural attitudes and national investment strategies determine AI adoption rates. He explores why rural areas with 5G may outpace cities, and how governments enabling or restricting AI access shape future opportunities.

Why AI Is Changing Human Cognition

Ashwin examines the psychological side of AI adoption, discussing how reliance on intelligent systems alters attention, critical thinking, and decision-making. He shares why relying on intelligent systems can make it easier to stop questioning information and how these subtle shifts in our thinking could shape everything from personal relationships to how we navigate the world.

Why Static Learning Fails in the Age of AI

Traditional courses freeze knowledge in time, but AI is moving faster than any curriculum can keep up. Companies relying on static training risk leaving employees unprepared as roles shift under their feet. Dr. Ashwin Mehta shows how agentic, AI-driven systems can personalise learning in real time, keeping teams agile and relevant. With a career spanning pharma, consulting, and global digital learning initiatives, he explains how organisations can move beyond outdated modules to create adaptive environments where learning evolves alongside the work itself.

View all topics →