Artificial intelligence has reached a strange moment.
On one hand, itβs everywhere β embedded in customer service, workflows, analytics, and decision-making. On the other, many leaders still talk about AI as if itβs optional, experimental, or something to βwait and see.β
In this episode of Canada Now, I sit down with Karen Olsson β tech entrepreneur, fractional CEO, and principal at Atomic47 β to talk about whatβs really happening beneath the surface of the AI conversation, and why leadership (not tools) is now the differentiator.
This wasnβt a conversation about hype. It was a conversation about responsibility, readiness, and what comes next.
TUNE IN! βΆ YouTube | Apple Podcasts | Spotify | + more
π©βπ» AI Isnβt a Tool Anymore β Itβs Infrastructure
One of the clearest throughlines in this conversation is that AI has quietly moved from novelty to infrastructure.
Karen has spent years working with organizations in highly regulated and operationally complex sectors β healthcare, energy, municipal government β where βtrying things outβ isnβt an option. In those environments, AI isnβt about flashy demos. Itβs about whether systems work, data is trustworthy, and workflows can scale without breaking.
The shift isnβt theoretical. Itβs operational. And itβs already underway.
The landscape of business is changing. AI is going to be everywhere β and we donβt even realize how much it already is.
π€ Losing the Tedium β Not the Humans
One of the most persistent fears around AI is job loss. But Karen reframes this concern in a way thatβs both practical and human.
Across the organizations she works with, AI is most effective when it removes low-level, repetitive work β not people.
In pharmacies, for example, structured AI workflows can reduce human error and compliance issues, freeing professionals to focus on higher-value clinical care. In healthcare and municipal services, AI agents can handle repetitive inquiries, allowing humans to spend more time on meaningful interaction.
The outcome isnβt replacement β itβs reallocation of human energy toward work that actually matters.
AI is going to make our jobs better. Itβs going to take away the low-level work people donβt want to be doing.
π§ Tune In to the Full Episode
Canada Now | Episode 11: AI Is Not a Bubble β Itβs a Leadership Test
π YouTube
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π All Platforms
β Why Governance is No Longer Optional
If there was one message Karen returned to repeatedly, it was this: AI governance is now a leadership responsibility.
Not later. Not once things βsettle.β Now.
As organizations rush to experiment with AI, many are discovering internal friction β workers adopting tools on their own, middle management trying to block usage, and executives calling for innovation without clear guardrails.
Karen argues that successful organizations resolve this tension by treating governance as an enabler, not a constraint.
She describes this as βminimum viable governanceβ: understanding where data lives, who can access it, how models are trained, and where human oversight must remain in the loop.
βYou canβt be a leader in a company β particularly a tech company β and not be paying attention to AI governance. Itβs hugely important.β
π₯ AI is Not a Bubble β Itβs a Wildfire
Midway through the conversation, Karen shares the metaphor that has shaped how she thinks about this moment.
In 2023, she and her family were evacuated during a wildfire. Like many others, they were initially told the fire wouldnβt spread β until it did.
That experience became a lens for understanding AI.
βA bubble bursts and disappears.
A wildfire reshapes the landscape.β
AI, in her view, isnβt something that will peak and vanish. Itβs something that will change how business operates permanently β clearing out inefficiencies and forcing organizations to adapt, whether theyβre ready or not.
π¨π¦ Canadaβs Opportunity: Adoption, Sovereignty, and Trust
The conversation also stayed grounded in a Canadian context β particularly around risk aversion, investment patterns, and innovation culture.
Karen makes a compelling case that Canadaβs biggest opportunity isnβt inventing the next global AI platform. Itβs building niche applications, data infrastructure, and sovereign systems that reflect Canadian values and priorities.
She also points to growing momentum: increased focus on buying Canadian tech, greater awareness of procurement practices, and meaningful leadership emerging from Indigenous-owned organizations that have long understood sovereignty and stewardship.
This is where leadership, policy, and culture intersect β and where Canada still has a chance to lead.
We need to think about where our data lives, how we compute, and how we build systems we can trust.
π Final Thought
This episode isnβt about predicting the future. Itβs about recognizing whatβs already here.
AI isnβt a bubble to speculate on.
Itβs not a tool to delegate.
And itβs not something leaders can afford to ignore.
Itβs a leadership test β one that asks whether organizations are willing to align strategy, governance, and human judgment in a rapidly changing environment.
And as Karen makes clear, the organizations that get this right wonβt just be more efficient β theyβll be more resilient, more trusted, and better prepared for what comes next.
π€ About the Guest
Karen Olsson is a tech entrepreneur, fractional CEO, and strategic advisor with decades of experience building and guiding technology-driven organizations. She is a principal at Atomic47, a venture lab and technology consultancy working at the intersection of AI, emerging technology, and business transformation.
Karen is also deeply engaged in ethical innovation and AI governance, and has completed all three levels of the Innovation Governance Program through the Council of Canadian Innovators.
Learn more:
Karen on LinkedIn | Atomic47 Labs - Company Website | Substack

β Episode Show Notes
π Resources
AI Is Not a Bubble, Itβs a Wildfire β Atomic47 Substack article by Karen Olsson
Canadaβs CEO Summit β by CCI
π₯ Episode Chapters
(Jump straight to the parts you care about.)
β° Timestamps
00:00 INTRO: Why responsible AI is now a leadership responsibility
00:16 Welcome to Canada Now with Ashley Smith
00:29 Introducing Karen Olsson and the real-world AI conversation
01:48 Karenβs path into AI and human-centered tech
03:19 From early AI moderation to emerging technologies
04:04 What agentic AI actually means (and why orchestration matters)
05:51 Explaining agentic AI in plain language
07:18 Real-world AI use cases in healthcare, pharmacy, and energy
09:27 Why AI wonβt replace jobs β it replaces tedium
10:39 Measuring ROI when AI is still early
11:25 The internal tension: workers vs. managers vs. leadership
12:21 The strategic questions leaders should ask before adopting AI
13:34 Starting with business goals, not tools
15:23 AI readiness, workflows, and data integrity
17:12 Preparing organizations for AI-driven transformation
18:01 βMinimum viable governanceβ and responsible AI adoption
19:35 Why data is the next major AI bottleneck
21:16 How organizations engage AI experts effectively
22:23 Building bespoke AI systems β with humans in the loop
24:35 Leadership engagement and staying ahead of regulation
25:46 Why AI governance canβt be ignored anymore
26:23 Training, governance programs, and credible AI education
28:28 AI is not a bubble β itβs a wildfire
29:28 The wildfire metaphor and why AI wonβt go away
31:18 How AI reshapes business and human connection
32:32 Preparing the next generation for AI-powered work
35:34 Canadaβs AI opportunity: niche apps, data, and infrastructure
36:43 The need for AI sovereignty and Canadian innovation
38:16 Shifting Canadaβs innovation and procurement culture
40:12 Buying Canadian tech and building momentum
43:25 Indigenous leadership and AI sovereignty
45:14 What Karen is focused on heading into 2026
46:19 Funding early-stage AI founders in Canada
47:50 Why 2026 could be a breakout year for innovation
48:14 Where to find Karen, Atomic47, and AI readiness tools
If youβre a fan of Canadian innovation and curated Canadian content, check out some of my other favourite newsletters on Beehiiv! ππ
β Ashley Smith (@ashleysmithnow)

