Artificial intelligence
How Agentic AI Will Redefine Work by Automating Decisions, Not Just Tasks
Author
Kevin Moore
Agentic AI is shifting from a passive “copilot” to a goal-oriented digital worker capable of navigating the “gray zone” of business decisions.
Canadian business leaders don’t need another lecture about uncertainty: we’re living it. The last five years have delivered a string of shocks, and many companies are trying to plan in a world that changes week to week. At the same time, Canada’s productivity problem isn’t abstract. It shows up in how long it takes to get decisions made and how much time smart people spend coordinating work instead of doing it.
This is where agentic artificial intelligence (AI) matters. Because it can automate decision loops, not just tasks. That difference sounds subtle. It isn’t.
Agents Are Digital Workers, Not Copilots
AI agents are different. The simplest way I explain agentic AI is this: they’re digital workers, systems that can do work on your behalf inside your tools and workflows. You give them an objective, you define constraints, and they execute a process that spans multiple steps, tools, and decisions. They can operate in what I call the “gray zone,” where you can’t pre-script every move in advance.
That’s what distinguishes an agent from many “copilot” experiences (think ChatGPT or Google Gemini). A copilot responds to prompts. An agent takes a goal and makes progress toward it, finding information, moving through systems, following up, reconciling inputs, and escalating when it hits a boundary.