For decades, we’ve trained students to compete for their first work term.
Polish the résumé.
Scan the job board.
Apply to 40 roles.
Wait.
Repeat.
And then we wonder why they’re overwhelmed.
This past year, while conducting an environmental scan, a student said something that stopped me in my tracks:
“I’m so busy. It’s a lot to manage. Why can’t you just match me?”
I laughed.
“You would never allow that to happen.”
He looked at me and said:
“Why not? I don’t have experience. You have my résumé. You have the job postings. Kick-start this for me.”
And that has lingered. What if, we did a quantum leap?
We Already Know the System Isn’t Neutral
When I was a director, we ran a trial using AI to test human bias in matching students to jobs.
With résumés and job ads alone, the machine could:
- Match & evolve competencies
- Screen qualifications
- Identify alignment
- Shortlist candidates
And it did it without the unconscious bias humans bring to the table. It was impressive.
Tools like Senseloaf are already capable of this level of screening.
So let’s ask the uncomfortable question:
If the machine can match and screen…
Why are we still asking first-year students with no experience to compete like seasoned professionals?
What If We Matched for the First Work Term?
Not forever.
What if we scaffolded the process? A true learning experience?
But for that first work term — the one where confidence is fragile and experience is thin.
What if:
- Students were matched based on skills, strengths, and potential.
- Employers received curated, AI-informed shortlists?
- Institutions reduced inequities baked into self-selection?
- We freed up staff time from resume triage to deeper coaching?
Remember when employers used to ask us for curated lists?
“Send us your top candidates.”
The concept isn’t new. It’s better. It’s system-wide access – not just who knows the coordinator.
What Would Happen?
- Would employers push back — or appreciate the efficiency?
- Would students feel relieved — or anxious about losing control?
- Would universities worry about optics — or celebrate equity gains?
- Would this improve access for underrepresented students?
Most importantly:
Would it produce better outcomes?
This Is a Quantum Leap Moment
Higher education is in a period of systemic disruption.
Workplaces are shifting.
AI is not coming — it’s here.
We cannot keep applying a 1990s competition model to a 2026 ecosystem.
This isn’t about removing agency.
It’s about redesigning friction.
If we can:
- Automate screening
- Reduce bias
- Increase equity
- Improve employer experience
- Decrease student overwhelm
Why wouldn’t we?
Join Us: Disruptors Series – Quantum Leap #1
🗓 1-Hour Free Online Event
🎯 Topic: What If Students Didn’t Apply to Co-op Jobs?
🌎 Audience: Higher Education Leaders, WIL Practitioners, Employers, HR Leaders
We’ll explore:
- AI-enabled matching models
- Bias data from pilot projects
- Employer reactions to curated lists
- Equity implications
- Institutional risk vs. innovation
- What a pilot could look like in 2026
This is not a webinar.
This is a design provocation.
If this idea makes you uncomfortable — good.
If it excites you — even better.
If it intrigues you — come join us.
Because disruption isn’t reckless.
It’s intentional.
And quantum leaps don’t happen by accident.
Register Now: https://the-disruptors-series.eventbrite.ca
—
The Disruptors Series
From The Apiary Inc. (formerly The Talent Strategy Collective)
Where bold ideas meet practical action.
