Dow to Cut 4,500 Jobs as Chemical Giant Pivots to AI and Automation

Chemical giant Dow announced on January 29, 2026, that it will cut approximately 4,500 jobs worldwide. The move is part of a massive new plan to use artificial intelligence and automation to fix the company’s high costs and boost earnings. This news comes as the company faces a tough market and falling sales. The full report on this restructuring can be found at Manufacturing Dive.

Key Facts

• Dow will eliminate 4,500 positions, which is about 13% of its global workforce.
• The company expects to pay between $600 million and $800 million in severance to departing workers.
• The “Transform to Outperform” program aims to find $2 billion in new earnings through efficiency.
• Source: Manufacturing Dive
• Additional source: CBS News

A Shift to Automation

Dow CEO Jim Fitterling told investors that the company needs to adopt new technology to stay ahead. The company plans to use AI to change how work gets done across its plants and offices. By using these tools, Dow hopes to simplify its business and cut down on complex processes that currently slow things down. The goal is to create a leaner operation that can handle economic ups and downs better.

Financial Pressures Mount

The job cuts follow a difficult end to 2025. Dow reported that sales dropped 9% in the final quarter as prices for chemicals and plastics fell. High costs for raw materials and shifting global demand have put a squeeze on the company’s profits. This is not the first time Dow has cut staff recently; the company also laid off 1,500 workers in early 2025 and closed three plants in Europe later that year.

What’s Next for Workers

The layoffs will hit various departments as Dow resets its cost structure. While the company is spending over $1 billion on the restructuring itself, it expects the long-term savings to be much higher. Impacted employees will receive severance packages, though the company has not yet specified which exact global locations will see the most cuts. The transition to an AI-heavy model is expected to be fully in place through 2026.