When Will AI Replace Responsables du transport, du stockage et de la distribution ?

AI's impact on transportation, storage, and distribution management will unfold in waves. By 2028, expect around 40% of tasks to be automated. Early disruptions, particularly for junior roles, are anticipated as soon as 2026, with a 25-30% reduction in entry-level supervisory positions.

The initial wave of automation will target routine tasks like route optimization, inventory forecasting, workforce scheduling, and operational reporting. These are the 'first casualties' of the AI logistics revolution, setting the stage for broader changes across the sector.

More experienced managers with strategic skills can extend their careers. Senior roles (8+ years) focused on vendor relationships, crisis management, and strategic planning can see viable careers through 2031, potentially extending to 2033 with AI upskilling.

Junior managers with 0-3 years of experience, primarily focused on operational execution and basic scheduling, are most at risk. These roles are projected to shrink by 25-30% as early as 2026 due to AI automation.

Senior managers (8+ years) with deep vendor relationships, crisis management expertise, and strategic supply chain planning skills are more secure. Proactive upskilling in AI logistics platforms can realistically extend their viable careers significantly.

You have a realistic 4-7 year window to adapt before mass automation impacts most traditional logistics management positions. Proactive upskilling is crucial for long-term career viability in this evolving field.

The key differentiator for success lies in mastering AI-powered logistics platforms. Focus on learning tools like Blue Yonder, Manhattan Associates, Kinaxis, and SAP IB to remain competitive and valuable in the AI-driven logistics revolution.