Amazon is cutting positions within its Selling Partner Services division this month to improve operational efficiency [1].
These layoffs signal a broader strategic pivot toward automation. By reducing human headcount in retail services, the company aims to enforce cost discipline and accelerate the integration of AI-driven operations across its marketplace [2, 3].
This latest round of cuts follows a period of significant downsizing. Amazon has fired nearly 30,000 employees over the last six months across various business units [4, 5]. The company continues to restructure its internal organization to meet evolving market demands.
CEO Andy Jassy addressed the ongoing changes to the company's structure. "We regularly review our organisation to ensure..." Jassy said [3].
The focus on the Selling Partner Services division suggests that Amazon is targeting the specific areas where AI can most effectively replace manual administrative or support tasks. The shift comes as the company seeks to maintain its competitive edge in the e-commerce sector while managing overhead costs.
While the company has focused on a figure of nearly 30,000 roles eliminated in the last six months [4, 5], some reports indicate that total tech-related layoffs have surpassed 45,000 [4]. This discrepancy highlights the scale of the restructuring across different tiers of the organization, from corporate retail services, to deeper technical infrastructure.
“Amazon is cutting positions within its Selling Partner Services division this month to improve operational efficiency”
The continued layoffs at Amazon reflect a wider industry trend where legacy retail and support roles are being phased out in favor of generative AI. By prioritizing AI-driven operations, Amazon is attempting to lower the cost of seller management and increase the speed of its logistics and partner ecosystem, effectively trading human oversight for algorithmic efficiency.
