The AI comfort gap and how to close it

78% of Canadians believe workplace AI adoption is inevitable, yet 75% give their own AI abilities a grade of C or lower.

Only 37% say they’ve received adequate AI training from their employer, while nearly one in three admit they’ve exaggerated their AI skills to colleagues.

These findings come from the 2026 TD AI Insights Report, conducted by Ipsos among 2,501 Canadian adults.

The contradiction is clear: most of us believe this technology is becoming unavoidable. Most do not feel prepared to use it. And many feel enough pressure to quietly pretend otherwise.

That is not simply a technology gap. It is a comfort gap.

The encouraging part is that comfort can be built. It does not require becoming a programmer. It begins with understanding what AI can and cannot do, setting clear boundaries and finding one practical reason to use it.

Why AI suddenly feels different

Here’s the simplest way I know to explain why everyone is suddenly talking about AI. For decades, computers only understood precise, structured commands. You had to speak their language. Then, almost overnight, generative AI changed that relationship. Now we can describe what we need in our own words.

Ask it to summarize an email chain, organize notes or suggest dinner from what is in the refrigerator, and within seconds it can produce a useful starting point.

AI is not all-knowing. It is better understood as a bright, tireless and occasionally overconfident assistant. It can generate ideas and drafts quickly. It can also misunderstand instructions, miss context and present incorrect information with remarkable confidence.

Trust it like a new assistant

In living rooms, community spaces and corporate boardrooms, people often begin by asking which tool they should use. But the real question is usually: Can I trust this?

Trust AI the way you would trust a capable new assistant in their first week. Give it meaningful work, but review what it produces. Let it create the first draft, but keep the final decision.

Privacy deserves the same care. Treat a public AI tool like a text conversation with someone you have just met. Client names, confidential documents and sensitive financial or health information are not casual prompt material.

You do not need to trust AI blindly. You need to remain informed and in control.

My accidental bliss story

I spent more than 15 years in consulting and banking, and by the end of that chapter the burnout was real. I eventually left and co-founded bestow, a company modernizing monetary gifting for life’s milestone events.

Building a business changed my relationship with AI. It became something I opened every day to organize ideas, challenge my thinking and move projects forward while running a company and raising an energetic seven-year-old with my husband. 

The AI Tutor began with a question: why were so many intelligent, capable people convinced they had already fallen behind?

I invited a few friends into my living room. They brought friends. The questions kept coming.

What surprised me most is that my bliss turned out not to be the technology. It is the moment someone’s shoulders drop, when a person who arrived apologizing for being “bad at this” uses a tool successfully and realizes they were never behind.

Do not begin with the technology

One common mistake is opening an AI tool and asking, “What can this do?” The answers are nearly endless, which can make the technology feel more overwhelming.

A better question is: What is taking up my time, attention or mental energy right now?

In my workshops, I use a three-part framework: the audit, the shift and the return.

The audit

Most daily work falls into three categories. Create is the judgment, ideas and relationships that depend on you. Manage is the email, scheduling and coordination that keep life moving. Process is the repeatable work of drafting, organizing and summarizing.

Start with managing or processing. Find the task sitting in the back of your mind: meeting notes, a long email thread or recipes saved across five apps.

Your first use case does not need to be strategic. It needs to be specific, low-risk and useful.

The shift

Once you find one successful use case, you can begin changing how the task gets done.

A 50-message email thread becomes a short briefing before a call. A folder of research becomes a structured comparison. A collection of articles becomes an audio summary for a walk.

None of these examples is revolutionary. But small tasks become difficult because they accumulate, each one demanding attention and occupying mental space.

Using AI well does not mean handing over your creativity or judgment. It means reducing the clutter surrounding them.

The return

Suppose AI gave you back five hours each week. What would you do with them?

Without an intentional answer, those hours may simply become more meetings, more email and more work.

The real return is not measured only in productivity. It may be finishing a proposal by 5 p.m. instead of reopening it at 9. It may be exercising, thinking without interruption or being more present with the people around you.

AI has value when the time and capacity it creates are used deliberately.

Your first AI experiment

You do not need to automate your life or exaggerate what you know. Nobody was born with AI skills.

Pick one low-risk task this week. Leave the sensitive details out. Explain what you need clearly. Treat the response as a draft. Then notice what it gives back.

Comfort does not arrive before you begin. It develops because you begin - one practical, well-guarded win at a time.

Finding my bliss did not mean leaving the world of work behind. It meant discovering that helping people feel capable is meaningful work in itself.

The technology may be artificial, but the relief can be very real.