## Agentic AI Takes Center Stage in Business World

The biggest story this week is that agentic AI is no longer just experimental - it's becoming real technology that companies are actively using. Unlike simple chatbots that answer questions, agentic AI can work independently to complete complex tasks over hours or even days. Companies like Google, Microsoft, and OpenAI released tools that make it easier for regular businesses to build and use these AI agents in 2025.

A landmark study called the GDPVal study is helping us understand just how capable these systems have become. Researchers gave experienced professionals - people who had worked in their jobs for an average of 14 years - real tasks that normally took about seven hours to complete. The AI agents finished the same work in just 5 to 10 minutes. Most importantly, when expert judges secretly compared the human work to the AI work without knowing which was which, they preferred what the AI produced 72% of the time, up from 48% just months earlier. This represents a massive leap in AI capability.

## Companies Are Spending Trillions, But Are They Replacing Workers?

Business leaders are betting huge amounts of money on this technology. Gartner reports that global AI spending will reach $2.5 trillion in 2026, which is 44% higher than spending in 2025. But here's the interesting question: are companies using this money to replace workers, or are they cutting workers to pay for the AI?

A surprising new theory suggests companies might be laying off workers mainly to fund their AI investments, rather than because AI is already making jobs disappear. Think of it like this: if you're spending billions on new technology, you need to get that money from somewhere. Some business leaders are being honest about this. For example, Workforce's CEO said layoffs of 1,700 workers were needed to pay for AI investment. Meanwhile, Amazon announced 30,000 job cuts while its spending on computer equipment more than doubled from $53 billion in 2023 to $133 billion in 2025, with plans to spend $200 billion in 2026.

However, other company leaders are claiming that AI is already doing 50% of the work at their companies. The truth is probably somewhere in the middle - some companies may be over-hired and using AI as a reason to downsize, while others are genuinely seeing productivity improvements.

## But Has AI Actually Replaced Anyone's Job Yet?

This is where things get complicated. A careful study by Anthropic looked at real employment data and found limited evidence that AI has actually affected total job numbers so far. They did notice that young workers (ages 22-25) are finding it slightly harder to get hired into jobs that AI can do, like computer programming and customer service. But unemployment hasn't risen overall in these fields.

What researchers are seeing instead is that productivity is increasing - companies are getting more work done with the same or fewer workers. Labor productivity grew 2.8% in late 2025, and economists expect efficiency gains to continue this year with all the AI investment. This means companies can do more without hiring more people.

## The Real Changes Are Happening in How Work Gets Done

Instead of massive job losses, the bigger shift is in how work actually happens day-to-day. A growing problem is algorithmic management, where software systems decide what tasks workers do, how fast they work, and even how they're evaluated. Two-thirds of truck drivers and delivery workers in the UK report feeling anxious about their jobs because algorithms suddenly change their schedules.

Experts say the most valuable employees in 2026 will be system thinkers - people who can manage AI agents rather than just doing tasks themselves. This means the job market is shifting from "task executors" to "AI managers." Research shows that people who are better at directing AI agents have an even bigger advantage over time. Interestingly, women actually built better-performing AI negotiation agents than men in one study, which was surprising since women typically perform worse than men in traditional negotiations.

## What Happens Next?

Looking forward, Gartner predicts that by 2027, 75% of hiring processes will include testing for AI skills, just like they test for math or writing today. This means AI proficiency is becoming a basic job skill everyone needs.

Canadian companies are ahead of many others - 86% already use agentic AI to improve decision-making, and 68% expect AI agents to make some decisions on their own by the end of 2026. However, only 36% of Canadian workers are comfortable being managed by AI, which is lower than the global average of 48%.

The World Economic Forum predicts that by 2030, 40% of employers will cut jobs where AI can handle routine tasks. But they also forecast that 170 million new jobs will be created while 92 million disappear, suggesting the job market will shift rather than shrink overall. The big challenge ahead is making sure workers and companies prepare for these changes through training and planning now.