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The Year of AI Agents: From a Tool That Answers to an Employee That Acts

Writer: Alain Paquin
Alain Paquin
Sep 21
2 min read

There's a phrase you hear everywhere lately: AI agents. La Presse ran a feature on it on September 14, 2026, summing up the idea better than most: with agentic AI, you're no longer only in a logic of answering, the agent acts and helps execute the process. That's the whole novelty, and it's worth pausing on for a minute.

Until now, the AI most owners know was an assistant. You ask it a question, it answers. You ask for a piece of writing, it writes it. Useful, but passive: nothing happens until a human prompts again. An agent is something else. You hand it a task with a goal, and it strings the steps together itself: it fetches the information, processes it, produces a result, sometimes triggers the next action. The difference between the two is the difference between an advisor and an employee.

This shift is real, and it explains the excitement of 2026. But it also brings its share of vertigo. You read that agents will do everything, replace entire teams, run alone overnight. For an SME owner, that noise is more paralyzing than useful. The right way to take the news isn't "will this change everything," but "which specific task of mine would benefit from being handed to something that acts rather than something that answers."

Because that's where the change becomes concrete. An assistant helps you draft a quote; an agent can gather the prices, build the draft and file it for review. An assistant answers a question about an order; an agent can track the order, spot the delay and warn the customer. The value doesn't come from magic, it comes from the fact that a series of repetitive steps stops depending on a person doing them by hand.

But handing a task to an agent isn't installing software. It's delegating. And you don't delegate blindly: the task has to be clear, the information reliable, and you have to be able to tell a good result from a bad one. In other words, the arrival of agents doesn't replace the deep work of an AI transformation — it makes it more necessary, because a mistake by an agent that acts costs more than a mistake by an assistant that merely answers.

At Paquin & Co., we help Quebec SMEs choose the right first task to hand to an agent — and frame it so it pays off instead of going off the rails. paquinco.com

 
 
 

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