The Case for Digital Twins in an AI-First World with AI expert Manuj Aggarwal - Ep20
Mon Jan 26 2026
In this episode of Data and Confused, Manuj Aggarwal joins Glen Kendell for a wide-ranging conversation on why AI adoption feels chaotic, dangerous, and transformative all at once. Manuj, a 30-year technology veteran with multiple AI patents, explains why artificial intelligence is fundamentally different from every technology that came before it. Unlike tools that enhanced physical labor, AI enhances human cognition, and that changes everything. They explore why most organizations are deploying AI without strategy or oversight, how uncontrolled AI agents create data chaos, and why traditional software systems like CRMs and ERPs may not survive the next five years. The conversation dives deep into Manuj’s concept of a “digital twin” an AI reflection of the human mind that helps individuals and teams use AI safely, purposefully, and at scale. This episode goes beyond prompts and productivity hacks to ask bigger questions about identity, purpose, data ownership, and what it means to stay human in an AI-driven world.
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In this episode of Data and Confused, Manuj Aggarwal joins Glen Kendell for a wide-ranging conversation on why AI adoption feels chaotic, dangerous, and transformative all at once. Manuj, a 30-year technology veteran with multiple AI patents, explains why artificial intelligence is fundamentally different from every technology that came before it. Unlike tools that enhanced physical labor, AI enhances human cognition, and that changes everything. They explore why most organizations are deploying AI without strategy or oversight, how uncontrolled AI agents create data chaos, and why traditional software systems like CRMs and ERPs may not survive the next five years. The conversation dives deep into Manuj’s concept of a “digital twin” an AI reflection of the human mind that helps individuals and teams use AI safely, purposefully, and at scale. This episode goes beyond prompts and productivity hacks to ask bigger questions about identity, purpose, data ownership, and what it means to stay human in an AI-driven world.