LinkedIn Announces 5% Global Layoffs, Walmart Initiates Layoffs
LinkedIn has officially announced a layoff of approximately 5%, with the engineering team (Eng) facing a layoff rate of 20%-25%.
Walmart has initiated layoffs, with the last working day set for August 31.
Walmart has notified some employees of the layoff plan, with the last working day scheduled for August 31. During this period, employees can choose to continue working or stay at home while receiving normal compensation.
Market Mechanism: LinkedIn and Walmart are optimizing their workforce, driven by events in the technology and retail sectors to enhance efficiency, with funds flowing into AI, automation, and core business; both companies benefit from reduced costs and increased output per employee, while laid-off employees face short-term pressure and competition in the job market intensifies.
Source: Public Information
ABAB AI Insight
LinkedIn's overall 5% layoff, with a high 20-25% in the engineering team, continues the path of focusing on AI transformation under the Microsoft ecosystem, prioritizing AI-related positions while optimizing non-core engineering roles.
Walmart's flexible transition period and compensation for layoffs reflect the retail giant's routine operation of shifting from labor-intensive to automated processes, focusing on reducing store and logistics personnel while moving towards AI supply chains and digital tools.
In terms of capital flow, both companies are using layoffs to free up budgets, reallocating to AI agents, automation systems, and high-value talent, motivated by the need to enhance operational efficiency and profit margins in the current economic environment.
Similar cases include multiple tech companies (such as Meta, Google) and retail giants (like Walmart's previous rounds) undergoing AI-driven downsizing by 2025; companies are currently in a phase of restructuring their workforce due to accelerated AI technology replacement.
Structural Judgment: This fundamentally belongs to an industry chain reconstruction driven by technological replacement. AI agents and automation tools are shifting job pricing power from conventional engineering and retail labor to a few high-skilled talents, as technology can now handle a large amount of repetitive and mid-level work, forcing company capital to refocus from broad labor coverage to AI infrastructure and core experts, accelerating the structural transformation of the entire industry from scale employment to efficiency-driven models.
ABAB News · Cognitive Law
The more engineering positions are cut, the more aggressively AI is utilized.
The more generous the compensation, the more resolute the transformation.
As labor becomes more expensive, AI first converts scale into efficiency.