EXPLAINERNews|Business and EconomyIs artificial intelligence to blame for Amazon job cuts?
Amazon confirms 14,000 layoffs after CEO says AI likely to lead to job losses.

Corporate Restructuring
Amazon has confirmed a workforce reduction involving approximately 14,000 employees. This decision was communicated via a message on the company’s website following initial reports suggesting a larger scale of layoffs.
Details of the Workforce Reduction
Reports indicated that Amazon planned to lay off 30,000 corporate employees. However, a statement from Beth Galetti, Senior Vice President of People Experience and Technology, clarified the actual number to be 14,000. The company is providing support to affected employees, including a 90-day period to find internal opportunities.
Reasons for Layoffs
The layoffs are part of a broader strategy to reduce overhead and adjust the workforce after an extensive hiring period during the COVID-19 pandemic. In 2020, Amazon significantly increased its workforce to meet the surge in online shopping demand.
Impact of Job Cuts
The job reductions, affecting corporate departments, represent approximately 4% of Amazon’s 350,000 corporate employees. This is the largest cut since 2022 when the workforce was reduced by 27,000 employees.
Operational Adjustments and AI Implementation
CEO Andrew Jassy has initiated an “inefficiencies initiative” aimed at reducing bureaucracy and streamlining operations. The initiative includes measures such as increasing the employee-to-manager ratio. Additionally, the rollout of AI technology is expected to change job requirements, potentially reducing the need for certain roles.
Future Workforce Considerations
As AI systems are implemented, Amazon anticipates efficiency gains that may lead to further workforce adjustments. The company is aligning its workforce structure to accommodate these technological advancements.
Vulnerability of Jobs to AI Advancements
Research indicates that roles such as interpreters, sales representatives, and customer service representatives are more susceptible to automation through AI. Conversely, roles like nursing assistants and surgical assistants are considered less vulnerable.















