Key takeaways for employers
- Canadian workers report higher AI confidence than employers assume, creating a perception gap that affects hiring and adoption decisions
- Skills development and AI training are increasingly part of the employer–employee value exchange, alongside compensation
- Productivity gains from AI remain limited when use stays at the task level instead of being embedded into workflows
- Trust and transparency around AI use are emerging as core employer brand and compliance signals
- Workforce strategy, rather than compensation alone, will shape attraction and retention decisions in 2026
Reading time: 7 minutes
Canadian employers continue to compete for talent using familiar tools. Salary benchmarks. Market adjustments. Annual increases.
Compensation still plays a central role in hiring decisions, particularly in an economy shaped by affordability pressure. What has changed is how workers interpret opportunity. Pay alone no longer explains why candidates choose one employer over another, why internal mobility slows, or why AI investments do not consistently translate into productivity gains.
Across Canada, the more pressing issue employers are facing is workforce readiness.
That insight sits at the centre of Agilus’ 2026 Un-Salary Guide: AI and Work in Canada, informed by our national AI Readiness and Work in Canada Survey of more than 500 Canadian workers and employers.
What the Survey Reveals About Readiness
One of the clearest signals from the survey has little to do with salary.
Seventy-one percent of Canadian workers say they feel confident integrating AI into their day-to-day work. Only fifty percent of employers believe their teams are ready.
This perception gap matters. It shapes how organizations assess internal capability, how quickly they move from experimentation to adoption, and when they default to external hiring instead of developing talent already inside the organization.
At the same time, workers report limited structure and support:
- Fifty-three percent say they have no access to AI training
- Only nineteen percent receive formal instruction
- Just twenty-eight percent say AI currently makes their job easier
The issue is not hesitation or resistance. It is a lack of shared expectations about how AI should be used at work and what effective use looks like by role.
Why Pay Alone No Longer Signals Job Quality
Salary remains essential. What the survey highlights is that compensation is no longer the sole indicator of job quality.
Canadian workers increasingly assess employers based on whether skills development is supported, whether expectations are clearly defined, and whether learning is embedded into roles rather than left to individual initiative. Training access and confidence now influence attraction, retention, and engagement decisions.
This aligns with findings from LinkedIn’s 2025 Workplace Learning Report, which shows employees are significantly more likely to stay with organizations that invest in skills and career development.
In practice, development has become part of the value exchange between employer and employee. Organizations that rely primarily on pay to compete often struggle to retain talent when growth pathways and capability expectations remain unclear.
The Productivity Gap Employers Are Feeling
Many employers expected AI to deliver immediate productivity improvements. The survey data helps explain why those gains remain uneven.
Most workers are using AI at the task level. Drafting content. Summarizing information. Supporting routine work. Employers, meanwhile, tend to expect impact at the workflow level.
This difference creates friction. Leaders struggle to see return on investment. Workers experience added oversight rather than reduced effort. Capability develops unevenly across teams.
According to The World Economic Forum’s 2025 Future of Jobs Report, a substantial share of core job skills will change within the next five years. Many organizations remain early in aligning training, role design, and workflow expectations to that reality.
Until expectations are defined by role and embedded into how work is organized, productivity gains will continue to lag behind technological potential.
Craig Brown, CEO of Agilus Work Solutions, describes the challenge this way:
“Most organizations are not short on ambition when it comes to AI. Where they struggle is translating intent into capability. Talent strategy is the bridge. Without it, technology moves faster than the workforce and the gap shows up later in hiring, productivity, and trust.”
Workforce Signals Employers Should Not Ignore
As AI adoption accelerates, many organizations are seeing shifts in how work is distributed. Entry-level tasks are evolving. Mid-level roles are absorbing more complexity. Senior roles are expected to integrate technology, people, and judgment more closely.
These structural signals are explored further in our related blog on diamond-shaped organizations, which examines how AI, automation, and hiring decisions are reshaping workforce structure across Canada.
Recognizing these patterns early allows employers to make more intentional talent decisions before pressure surfaces in hiring, burnout, or capability gaps.
Trust, Transparency, and the Employer Brand
Another clear finding from the Canadian survey is the role trust plays in employer perception.
Nearly three-quarters of workers express hesitation about AI in hiring. Sixty-five percent want employers to disclose when AI is used in screening or selection.
With Ontario’s Working for Workers legislation coming into effect in 2026, transparency is becoming both a compliance requirement and an employer brand consideration. Workers want clarity about where AI influences decisions, where human judgment remains central, and how fairness is protected.
Organizations that communicate clearly build confidence earlier and reduce resistance before it emerges.
What the Un-Salary Guide Helps Employers Do
The 2026 Un-Salary Guide was developed to help employers translate these signals into practical workforce decisions.
It supports leaders in identifying where AI readiness gaps are forming, bringing structure to skills-based hiring conversations, and aligning hiring, training, and workforce planning with how work is changing. Rather than prescribing a single model, the Guide offers a Canadian lens on workforce strategy in the age of AI. It is designed to support informed decisions that hold up over time.
A Practical Question for Leaders
For leaders responsible for talent strategy, the most useful question today is whether workforce planning is keeping pace with how work is evolving.
The 2026 Un-Salary Guide offers a Canada-specific view of that question, grounded in proprietary survey data and employer insight.
Download the Un-Salary Guide to explore how AI readiness, skills development, and worker expectations are reshaping hiring and workforce strategy in Canada.
About Agilus Work Solutions
Agilus Work Solutions is one of Canada’s largest privately owned recruitment firms, supporting employers across engineering, technology, life sciences, professional, industrial, and public sector roles. With deep specialization and national reach, we help organizations access hard-to-find talent and make confident workforce decisions in a changing world of work.
We combine recruitment expertise with market insight, workforce research, and practical tools to help employers build teams that perform today and adapt for tomorrow. Our focus is not just filling roles, but strengthening capability, productivity, and long-term workforce resilience in Canada.
EMPLOYER FAQs
Q1. What is the 2026 Un-Salary Guide?
The 2026 Un-Salary Guide is a Canadian workforce research and insight report that examines how AI readiness, skills development, and changing worker expectations are influencing hiring, compensation, and workforce strategy.
Q2. Why does AI readiness matter for Canadian employers?
AI is changing how tasks are performed before it changes job titles. Employers who understand readiness gaps can better align hiring, training, and productivity expectations.
Q3. Is compensation still important in 2026?
Yes. Salary remains essential, especially in Canada where affordability remains top-of-mind. However, workers increasingly evaluate employers based on development opportunities, clarity of expectations, and long-term skill relevance.
Q4. How should employers use the Un-Salary Guide?
The Guide is designed as a decision-support tool to help employers assess readiness, inform workforce planning, and structure skills-based hiring conversations.