If you’re looking for a job in Toronto right now, there’s a good chance the experience feels unusually frustrating.
A recent discussion among Toronto job seekers captured that frustration. Candidates described applying to dozens, sometimes hundreds, of jobs and hearing almost nothing back.
One person described applying to 20 jobs in a day and ending it feeling “completely demoralized,” wondering whether their applications were simply being filtered out by AI.
Then came the view from the other side.
A small business employee said their company received 300 resumes on the first day of posting a job.
Candidates can’t get noticed. Employers can’t get through the noise.
And increasingly, technology sits between them.
Toronto’s Job Market Is Competitive — But Employers Are Struggling Too
The numbers reveal an interesting contradiction.
Toronto’s unemployment rate was 6.7% in August 2026, according to Statistics Canada. While that’s down considerably from a recent high of 9.0% in July 2025, the job market remains competitive.
But the hiring landscape is changing in another important way: AI is becoming part of everyday work.
Statistics Canada found that 35.9% of Canadian workers used generative AI as part of their work during the previous 12 months. Among workers in management occupations, usage reached 75.1%.
Canadian businesses are adopting AI quickly too. In the second quarter of 2026, 19.2% of businesses reported using AI to produce goods or deliver services, with adoption considerably higher among urban businesses.
AI is clearly becoming part of how we work. And increasingly, it’s becoming part of how people look for work.
That raises an interesting question:
What happens when candidates use AI to create and tailor applications, while employers increasingly rely on technology to manage and screen them?
We may be making it easier than ever to apply — without necessarily making it easier for the right people to connect.
When AI Meets AI
AI can be incredibly useful in a job search.
Candidates can use it to improve a résumé, tailor an application, research an employer or communicate their experience more clearly.
But AI has also dramatically reduced the effort required to apply to multiple positions.
Multiply that across thousands of job seekers and employers can quickly receive hundreds of increasingly polished, highly optimized applications.
Employers then turn to technology to manage the volume.
The cycle starts to look something like this:
AI-assisted applications → more applications → more automated screening → more optimization → more noise.
One commenter in the Toronto Reddit discussion captured the absurdity of it rather well:
“Robots talking to robots to select humans.”
And yet the human is the entire point.
Everyone Has a Story
For Lead Search Group founder Magdalena, that’s the part of recruitment technology can’t replace.
“Everyone has a story. When I speak with someone, I don’t just want to know where they’ve worked or what their title was. I want to understand who they are, what they’ve experienced and what they’re looking for next.
Lately, I hear a lot of frustration. People have applied over and over again and heard nothing. That silence can be incredibly discouraging. You can actually hear the difference when someone realizes they’re being listened to — when they have an opportunity to tell their story instead of trying to get through another screening process.”
Those conversations can uncover things a résumé doesn’t.
Someone’s title may not adequately describe the work they’ve actually done. Their career path may not contain the exact keywords an employer is searching for. A period that looks unusual on paper may have a perfectly reasonable story behind it.
Sometimes the person simply needs an opportunity to explain who they are and what they can do.
That’s something an algorithm has a difficult time understanding.
Screening Applicants and Searching for Talent Aren’t the Same Thing
There’s another important distinction in today’s hiring environment.
Screening begins with whoever applied. Search begins by asking who could be right.
The best candidate might be buried among 300 applications.
They might have been screened out because their experience doesn’t perfectly match a set of criteria.
Or they may be successfully employed somewhere else and never applied at all.
That’s why a large applicant pool isn’t necessarily the same thing as a strong talent pool.
Good recruitment means looking beyond the pile of résumés: researching the market, approaching people directly, asking questions, listening and understanding what someone has actually accomplished.
Technology can make that work better.
It shouldn’t replace it.
AI Isn’t the Problem. Losing the Human Connection Is.
AI isn’t going away, nor should it.
Used thoughtfully, it can make both job searching and recruitment more efficient.
Ontario’s hiring landscape is already adapting to that reality. As of 2026, certain employers are required to disclose in publicly advertised job postings when artificial intelligence is being used to screen, assess or select applicants.
The more important question isn’t whether AI belongs in recruitment.
It’s where human judgment still matters.
Hiring isn’t simply about matching keywords on a résumé to words in a job description. It’s about understanding experience, potential, motivation, personality and what someone could contribute to an organization.
And sometimes that begins with something remarkably simple:
A conversation.
As AI makes it easier to look like the right candidate on paper, knowing who the right candidate actually is becomes more valuable.
Behind every résumé is a person. And everyone has a story worth hearing.
