Canada Added 75,000 Jobs. Why the Job Market Still Feels Broken

Part 1: 75,000 New Jobs Sounds Great. So What's the Problem?

Canada's latest jobs report looks like exactly the kind of news economists and job seekers have been waiting for.

The country added 75,000 jobs in July, an increase of 0.4%. The unemployment rate fell from 6.5% to 6.4%, its lowest level since July 2024. Employment has now increased by 181,000 since April, with most of that recent growth coming from full-time work. Statistics Canada

That's a strong report.

It's also a good reminder that economic headlines can hide what's happening underneath.

Because if you ask someone who already has a stable job in a growing industry how the labour market feels, you might get one answer.

Ask someone applying for their first professional job, trying to switch industries or working in a sector facing weaker demand, and you might get a very different one.

Both experiences can be true.

That's because the Canadian job market isn't really one market anymore.

It's a collection of industries, skills, regions and experience levels moving at different speeds.

Wholesale and retail trade added 21,000 jobs in July. Finance, insurance, real estate, rental and leasing added 18,000. Professional, scientific and technical services added 17,000, while construction added 16,000.

But monthly gains don't necessarily mean an industry is thriving.

Some of those sectors remained below their employment levels from a year earlier.

That's the first lesson from this report:

Don't just look at how many jobs were created. Look at where they're being created.

Part 2: The Entry-Level Problem Isn't Fixed

The most revealing number in the report might not be the 75,000.

It might be 12.6%.

That's Canada's youth unemployment rate in July.

It's down significantly from the recent peak of 14.3% in April and 1.9 percentage points lower than a year earlier. That's good news.

But it's still well above the 10.8% pre-pandemic average for July.

And this matters because young workers are often the first people to feel changes in the labour market.

They have less experience.

They have smaller professional networks.

They are more likely to be competing for entry-level positions.

And they don't have the accumulated credibility that makes changing jobs easier later in a career.

The Bank of Canada has been watching this closely. In May, Deputy Governor Nicolas Vincent described Canada's labour market as being caught between normal economic cycles and deeper structural changes. He pointed to low hiring, elevated long-term unemployment and the particularly difficult conditions facing young workers. Bank of Canada

That's an important distinction.

A normal slowdown eventually fixes itself when demand returns.

A structural change requires people and companies to adapt.

And that's exactly what seems to be happening.

The entry-level job isn't necessarily disappearing.

It's being redesigned.

That's a theme I explored in The Entry-Level Job Is Being Rewritten Right in Front of Us.

AI is one part of that story.

But so are changing business models, slower hiring, higher expectations and companies trying to get more output from smaller teams.

A new graduate might once have been hired primarily to do repetitive research, prepare reports, update spreadsheets or organize information.

Those tasks are increasingly easy to automate or accelerate.

So employers can start asking a different question:

If AI can handle the repetitive work, what else can this person actually do?

That's a much harder question for an entry-level worker to answer.

Part 3: AI Isn't Killing Jobs. It's Raising the Bar.

The easiest story about AI and employment is also the least useful:

AI will take everyone's jobs.

The data doesn't support that conclusion.

At least not yet.

The Bank of Canada says AI adoption among Canadian businesses remains relatively early. In its research, around 12% of Canadian businesses reported using AI in 2025, although adoption varies significantly by industry.

And the Bank's research on firm adoption found that companies expect limited employment effects over the next year, although they anticipate modest net negative employment effects over the next three years as adoption becomes more widespread. Bank of Canada

That's a much more nuanced picture than mass replacement.

AI is changing tasks before it changes entire occupations.

Writing becomes faster.

Research becomes faster.

Data analysis becomes faster.

Documentation becomes faster.

Customer support becomes more automated.

Coding becomes more assisted.

But here's the catch:

When producing something becomes easier, deciding what should be produced becomes more valuable.

If everyone can generate a presentation in five minutes, the presentation itself isn't the competitive advantage.

Knowing what belongs in the presentation is.

If everyone can generate ten business ideas, generating ideas isn't particularly impressive.

Knowing which one is worth pursuing is.

If everyone can build a dashboard, building the dashboard isn't necessarily the hard part.

Knowing which metrics actually matter is.

That's why the future of work isn't simply about becoming faster.

It's about becoming better at judgment, prioritization and execution.

I've explored that idea in AI Made Output Cheap. Judgment Is Now Expensive.

The workers who benefit most from AI won't necessarily be the people who know every new AI tool.

They'll be the people who understand their business well enough to use AI where it actually matters.

Part 4: Stop Asking If the Job Market Is Good

Here's where I think workers and companies should take a different approach.

Stop asking:

"Is the job market good?"

It's too broad a question.

Instead ask:

"Where is demand moving?"

That's much more actionable.

1. Watch industries, not headlines

One month of strong employment growth doesn't tell you everything.

Look at several months of data.

Is your industry consistently adding jobs?

Are companies increasing investment?

Are job postings growing?

Are wages rising?

Those signals tell you more than one headline number.

2. Build transferable skills

Your job title isn't your career.

Your skills are.

Can you analyze data?

Improve a process?

Manage stakeholders?

Run a project?

Communicate clearly?

Use AI effectively?

Solve ambiguous problems?

Those skills can travel with you when an industry changes.

That's why I believe Why Generalists Are Winning in the Age of AI is becoming increasingly relevant.

The more technology automates individual tasks, the more valuable it becomes to understand how those tasks fit together.

3. Learn AI without chasing every tool

You don't need to become an AI engineer.

You need to understand how AI affects the work you already do.

The goal isn't collecting AI tools.

It's using technology to remove low-value work so you can spend more time on high-value work.

4. Follow what companies actually pay for

Job descriptions tell you what companies say they want.

Hiring tells you what they're willing to pay for.

That's an important difference.

If demand keeps rising for a particular skill, pay attention.

If a role suddenly requires AI fluency, data skills or cross-functional experience, that's a signal about where the market is going.

5. Keep your network active

In an uncertain labour market, information becomes valuable.

Your network can tell you which companies are hiring, which teams are expanding and which skills are suddenly becoming important.

You don't need hundreds of contacts.

You need people who can help you understand what's happening outside your immediate bubble.

As I wrote in You're Not Bad at Making Connections. You Just Haven't Done Enough Reps, networking isn't a personality trait.

It's a skill you build through repetition.

The Sharp Start

Canada's July jobs report is genuinely good news.

75,000 new jobs is a meaningful improvement.

But it doesn't mean Canada's labour-market problems are solved.

Youth unemployment remains elevated.

Hiring conditions are still uneven.

AI is changing the tasks inside jobs.

Trade and demographic changes are reshaping business decisions.

And employers are becoming more selective about the value they expect from each hire.

That's why the Canadian labour market can simultaneously be improving and becoming more competitive.

The Bank of Canada has described this as a period where cyclical pressures are colliding with structural forces such as AI, trade disruption and demographic change. Bank of Canada

For workers, that means the goal shouldn't be predicting the next recession or finding the mythical "recession-proof" job.

It should be building the ability to adapt.

The safest career isn't necessarily the one with the safest job title.

It's the one where your skills remain useful when the job changes.

So don't just ask:

"Is the job market good?"

Ask:

"Where is demand moving, and am I moving with it?"

That's a much better question to build a career around.

📚Further Reading

If you're trying to understand where Canada's labour market is heading, these are worth reading:

1. Canada's Labour Market: Between Cycles and Structural Change — Bank of Canada
   An overview of Canada's labour-market slowdown, low hiring, long-term unemployment and challenges facing younger workers.

2. AI Is Knocking: Canada's Next Productivity Story — Bank of Canada
   A useful look at how AI is changing tasks, productivity and employment without yet causing widespread worker displacement.

3. Productivity in the Age of AI — Bank of Canada
   Explores how AI could affect productivity, jobs and economic growth as adoption expands.

4. Potential Output in Canada: 2026 Assessment — Bank of Canada
   Examines Canada's slower potential growth and the effects of demographics, tariffs, investment and AI.

5. Survey Evidence on Firm AI Adoption and Its Implications — Bank of Canada
   Provides a deeper look at how Canadian businesses are adopting AI and what they expect it to mean for employment.

6. Canada Posts Monster Jobs Gain in July, Unemployment Rate Hits Two-Year Low — Reuters
   A concise overview of the latest July employment numbers and the market's reaction.

TL;DR

• Canada added 75,000 jobs in July 2026, while the unemployment rate fell to 6.4%.

• The headline is encouraging, but the recovery isn't being felt equally across workers, industries or age groups.

• Youth unemployment remains elevated, showing that getting into the labour market can still be much harder than the headline suggests.

• AI isn't causing mass unemployment, but it is changing the tasks companies hire people to perform.

• The real career advantage in 2026 isn't simply job security. It's the ability to stay useful as the market changes.

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