Companies around the world are using artificial intelligence agents to do work that people used to do. These AI agents can work without waiting for human approval and can handle many tasks automatically. Big companies like Amazon are cutting thousands of jobs because AI is doing more work. However, there is a problem: companies are not teaching employees how to work with AI properly, and some AI-created work is useless and wastes money. Research shows that only 14% of employees are actually seeing real productivity benefits from AI, even though the technology is saving them time. In the United Kingdom, AI job losses are hitting harder than anywhere else, with companies cutting 8% of their workforce in the past year. Business leaders are learning that AI will only work well if they invest in teaching their workers new skills and building trust with them.

The year 2026 is being called a turning point for agentic AI, which means AI that can make decisions and complete entire projects by itself. About 62% of companies are already testing this technology, and nearly 70% plan to use it in their regular work. These AI agents are becoming part of the tools companies use every day to do jobs like managing budgets, fixing computer problems, and checking for security issues. Companies like Meta are spending huge amounts of money—between $115 billion and $135 billion—to build AI systems that learn about what people like and want. But here is what matters most for workers: companies that are winning with AI are the ones that train their employees, listen to what workers think, and make sure workers feel like part of the change, not replaced by machines.