Companies cutting jobs as investments shift toward AI

• Companies announcing AI-related layoffs include Amazon (16,000 cuts), Dow (4,500 jobs, 13% of workforce), HP (4,000-6,000 by 2028), and WiseTech (2,000 jobs, nearly one-third of workforce)
• Job cuts span diverse industries including technology, manufacturing, insurance, retail, and telecommunications as firms redirect resources toward AI initiatives and automation
• SEB projects up to 2,100 job impacts worldwide by 2027, while Pinterest is cutting up to 15% of its workforce to focus on AI-focused roles and strategy

Summary: AI-Driven Job Cuts Accelerate Across Global Industries

Key Development: Goldman Sachs warned on February 25 that accelerating AI adoption could elevate U.S. unemployment in 2025, with the technology already responsible for 5,000-10,000 monthly net job losses in highly exposed industries during 2024. AI accounted for 7% of all planned layoffs last year.

Major Companies and Job Cuts:

• Amazon: 16,000 corporate positions (January 28)
• Dow Chemical: 4,500 jobs, representing 13% of workforce (January 29)
• HP Inc: 4,000-6,000 jobs by fiscal 2028
• WiseTech (Australia): 2,000 jobs, nearly one-third of global workforce (February 25)
• SEB (France): Up to 2,100 jobs worldwide by 2027 (February 25)
• Allianz: Up to 1,800 positions in travel insurance division
• Autodesk: ~1,000 jobs, about 7% of workforce (January 22)
• Pinterest: Up to 15% of workforce
• Nike: 775 employees
• Telstra (Australia): 650 jobs

Affected Sectors: Technology, e-commerce, manufacturing, insurance, telecommunications, media, consumer goods, and design software are experiencing widespread automation-driven restructuring.

Market Implications: Companies are redirecting resources from traditional operations toward AI infrastructure, cloud platforms, and efficiency initiatives. This represents a fundamental shift in workforce composition as manual processes become automated. The trend spans multiple industries and geographies, suggesting AI-related displacement is accelerating beyond early predictions.

Timeline: Most announcements occurred between October 2024 and February 2025, indicating an intensifying pace of AI-driven restructuring entering 2025.