The Algorithm and the Employee: AI Workforce Disruption at Redwood Logistics

A logistics company's AI system cut 30% of dispatch roles in six weeks. The survivors are shaken, the AI is underperforming, and morale is the least of it.

Duration

70 min

Difficulty

Intermediate

Stakeholders

Company Size

Medium (100-500)

Organizational Background

Redwood Logistics is a 400-employee regional freight and delivery company founded in 1998. The CEO led a digital transformation initiative that promised efficiency gains. The AI system was implemented without a change management plan, without workforce consultation, and without retraining programs. Fourteen dispatch coordinators were laid off. The remaining staff - drivers, warehouse leads, account managers - watched it happen. The AI depends on real-time data input from those same employees. Passive data sabotage (delayed entries, errors, omissions) has become common. Senior leadership believes the problem is 'resistance to change.' The real dynamic is a trust collapse between workers and leadership.

Key Stakeholders

Learning Objectives

Analyze the organizational impact of technology-driven workforce displacement
Apply change management frameworks to a post-implementation crisis
Identify passive resistance patterns and their structural causes
Design interventions that rebuild trust between leadership and frontline workers
Develop workforce transition strategies that are both humane and operationally viable

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