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In this episode of ENGINEERING CH∆NGE®, I take a systems-centered look at one of the biggest conversations happening across engineering organizations and society right now: AI.

While many organizations are focused on AI models, tools, productivity, and technical readiness, this episode explores a deeper question:

What happens when AI is introduced into systems that already struggle with communication gaps, lack of trust, inequitable processes, or flawed decision-making?

Drawing on examples from industry and recent research, we'll discuss:

• The disconnects AI adoption is exposing between leaders and employees
• How AI acts as an amplifier within organizational systems
• Why “human in the loop” must involve accountability, not just oversight
• How people-centered organizational systems shape AI outcomes
• Systems-level questions leaders should be asking before scaling AI adoption

I also introduce MESA® (Measure, Evaluate, Strategize, Act), a framework we use at The PEER Group to help organizations navigate change and continuous improvement.

If you’ve been thinking about AI primarily as a technology issue, this episode invites you to consider the organizational systems shaping what AI will ultimately produce.

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