Every generation of technology changes how companies hire. The internet did it. Mobile did it. And now AI is becoming the next major force; one that’s influencing how organizations across Waterloo Region think about roles, skills and team structure.
Leaders are preparing for a future where AI becomes as fundamental to work as email or search engines, and that has implications for hiring.
Artemis, a Waterloo Region–based executive search firm, works with growth-stage founders across North America. To keep up with rising demand for AI-related roles, Artemis has expanded its own team.
According to Senior Executive Recruitment Consultant Tara Stevens, five AI talent trends will define 2026:
1. AI is now a baseline skill across the tech workforce
AI has become an expected part of daily work. It’s no longer a tool being applied among engineering teams, but also throughout every department, including sales, marketing, operations and product.
Stevens says this expectation appears in almost every search Artemis runs.
“We’ve noticed a lot of AI curiosity, and AI has become a foundation skill.”
She says Artemis isn’t seeing many roles where AI doesn’t matter in some way.
The strongest candidates, she says, are the ones who experiment. Many learn AI outside their day jobs because their current employer hasn’t given them the tools or permission to use AI, or it’s just not part of their day-to-day role or job duties. That’s especially true in highly regulated environments, where employees may only be allowed to use a narrow set of approved tools in their “9 to 5,” and do their real AI learning on side projects.
“Think about something as simple as transcription. Without AI, that workflow would take weeks longer than it does today. That’s why AI has become such an inevitable foundational skill.”
For founders and hiring managers, that means 2026 job descriptions in Waterloo Region will have to treat AI not as a “nice to have,” but as table stakes for most knowledge roles.
2. Almost every job description now includes AI
AI is no longer limited to technical jobs. It’s now a standard part of job descriptions across the board.
“I would say probably 100 per cent. We're seeing AI in every job description.”
Stevens says this has accelerated over the past year, as tools like ChatGPT and other generative platforms moved from novelty to daily habit. What used to be a differentiator — comfort with AI — is quickly becoming a minimum requirement.
The hiring funnel is also being affected. Candidates use AI to scan job boards, apply in high volume and adjust their resumes to match postings. Employers then use AI to screen those applications.
The result is an overwhelming volume of inbound candidates.
“Internal talent teams are seeing huge volumes of applications when they post a job, and many are using AI to screen those resumes. But at a certain point, it becomes garbage in, garbage out, essentially AI screening AI.”
More companies are moving away from open job postings and asking recruiters to identify talent directly.
“Many companies engage us because their internal teams can no longer manage the volume of applications. With AI flooding the hiring process, it’s difficult to tell which candidates are genuinely qualified. Instead of posting a job, they come to us with a clear mandate: to find the best person in Canada or North America who can do this role. It’s extremely hard to break through the noise in today’s market.”
3. Companies want hybrid AI leaders who can think and build
Many founders are hiring for roles that combine strategy, product and hands-on technical work. These are the hardest jobs to fill.
In Artemis’s searches, AI leadership roles are showing up in two main categories: internal operations (AI program manager, AI ops manager, AI enablement manager roles focused on using AI inside the business) and product-facing leadership roles (Head of AI, AI architect and similar titles) that own vision and deep technical execution.
“The most difficult talent to find is the technical leader who can be both the AI visionary and the strategic thinker, and who can also prototype AI models. They need hands-on experience building AI agents and, increasingly, deploying those agents into production. Very few companies have actually done that today, which is why this skill set is so scarce.”
Stevens notes that this “unicorn” profile is especially scarce: think PhD-level depth, enterprise-grade engineering experience and the ability to tell a compelling product story to customers, investors and boards.
These roles often require advanced education and a mix of research and engineering experience. Companies want leaders who understand the future of AI and can build toward it while managing risk and complexity.
4. AI augmented teams can deliver more with fewer people
Companies are reassessing what team size is required to reach important milestones. Leaders are focused on outcomes rather than headcount growth.
Tara hears this often from founders and CTOs.
“We speak with tech leaders all day long, and I’ve never heard anyone say they plan to replace building a team with using AI. AI isn’t capable of that. What it is doing is increasing efficiency, and that changes how leaders think about scaling. Five years ago, the instinct might have been to hire 100 engineers to hit a milestone. Today, it’s more about the outcome than the headcount.”
“Across almost every function, we’re seeing AI-augmented marketers, developers and product designers. Teams can move faster and reach milestones sooner, often without needing to grow as much as they once did.”
AI is creating more efficiency in the work that used to take days or weeks. Tara says this does not necessarily mean leaders want to fully replace teams with AI.
“Today, as it stands, AI is actually not good enough to completely replace our jobs.”
Instead, AI allows teams to move faster and stay lean. Stevens expects 2026 to bring more “nimble, AI-augmented” teams — smaller groups that can pivot faster, react to uncertainty and still hit ambitious product and revenue milestones.
5. AI governance is the next major talent need
Tara expects companies to invest in roles that manage AI accountability and risk. Governance is becoming a larger part of internal conversations, even if most companies haven’t hired dedicated teams yet.
“We haven’t seen a lot of them yet, but we do expect AI governance roles to emerge. They’re not showing up often in our searches today, but as AI becomes more widespread inside organizations, governance is going to become an important consideration.”
These roles may focus on privacy, model performance, compliance and internal policies. Some companies will build full governance functions. Others will give responsibility to whoever leads AI strategy.
Stevens expects that, over the next 12 months, more companies will formalize who owns AI risk, ethics and policy — whether that lives in product, security, legal or a new governance function.
What this means for all businesses in Waterloo Region
AI isn’t necessarily replacing entire careers. It’s reducing the time spent on repetitive work and increasing expectations for how people use technology. It’s also raising the bar on what strong leadership looks like in product, engineering and operations.
The future tech worker in Waterloo Region will need curiosity, adaptability and comfort using AI tools. The future tech leader will need both vision and technical credibility.
As Tara says, AI can improve the inputs but not the leadership.
“What AI is really good at today are the mundane and tactical parts of our work. Things like transcription, summarizing conversations and organizing information. What it can’t do is the relationship-building, the vision, the strategy and the human nuance of leading an organization. It’s not replacing a boardroom full of executives anytime soon. Maybe it will evolve, but that will be the very last piece.”
The human work still matters. In fact, it matters even more. AI is simply expanding what teams can accomplish. In 2026, the companies that treat AI as a core capability will pull ahead of those still waiting to figure it out.
Building an AI-ready team doesn’t have to happen alone. Join the Communitech community to tap into shared learning and trusted local expertise. Whether you’re experimenting with AI for the first time or evolving your team’s capabilities, we can help you take the next step.