For millions of small businesses, AI isn’t an abstract conversation about the future. It’s a present-tense question with no clear starting point. The tools are available. The capabilities keep expanding. But between executive ambition and employee readiness, there’s a gap that technology alone can’t close.
In this episode of #shifthappens, Monica French, USA SMB Director at Microsoft, shares what she’s hearing directly from the founders, partners, and teams navigating that gap every day. She brings a ground-level perspective on what AI adoption actually demands when the founder sets the tone, the budget is tight, and the team needs more than a product demo to move forward.
What emerged from the conversation is a clear signal: the organizations making real progress aren’t the ones with the most advanced tools. They’re the ones that treat adoption as a leadership and culture challenge first.
The Distance Between Ambition and Readiness
Monica points to a tension surfaced in Microsoft’s Work Trend Index: 82% of business leaders call this the pivotal year to redesign with AI, while 62% of employees feel their leaders overlook the emotional cost of doing so.
That ambition is real — and so is the distance from it. At a recent AI Tour roundtable in Atlanta, Monica sat with SMB founders from industries as varied as office rental equipment, pizza delivery, real estate, and engineering. Every founder wanted to move forward, but the common thread within their organizations wasn’t excitement about agents or copilots — it was the feeling of overwhelm. Their teams weren’t resisting the shift. They just didn’t know where to start. As she puts it, “It wasn’t about the technology. It was really about how do we bring the value and overcome the fear factor with our employees.”
For Monica, what closes that gap is human intelligence — the daily leadership judgment that determines how AI is integrated into the workflow. In enterprise, that judgment is distributed across dedicated innovation teams, change management functions, and cross-functional programs. In small businesses, it’s concentrated in the founder. They define the culture, set the pace, and carry the emotional weight of bringing their teams along. AI provides the capability and human intelligence decides where it goes and whether the organization is ready to use it.
Roles Are Changing — Start Thinking in Tasks
Monica references a projection that by 2030, 70% of skills will change — which means the role you hold today will look fundamentally different within five years.
Her recommendation: stop thinking in job titles and start breaking roles down by task. Which tasks can AI augment or automate? Which ones demand distinctly human strengths, judgment, empathy, creativity, connection?
She illustrates this with a story from the roundtable. A founder of a rental equipment company described a team member with no HR background who used Copilot to design a full onboarding program for new hires. The employee didn’t want to become a learning and development expert, but he loved training people, connecting with them, and helping them build skills. AI handled the structure; the human brought the engagement.
That distinction matters. AI doesn’t eliminate the need for people. It shifts where people add value. The organizations that see this clearly are the ones enabling their teams to move toward more meaningful work through the help of AI.
The Governance Paradox
Every SMB leader will eventually face a tension that Monica frames. “Too little governance, you create the shadow AI. But then too much, then you can kill the adoption,” she mentions.
That paradox played out in real time at her Atlanta roundtable. Some participants, larger SMBs with 300–400 customers, were already classifying data in SharePoint and using Purview to protect sensitive information. Others said governance felt like a barrier for teams that hadn’t even opened the tools yet. Both realities sat at the same table.
The answer isn’t one or the other. It’s a middle ground where leaders address shadow AI head-on. The employees using unsanctioned tools aren’t being malicious. They’re trying to get work done. Those people, Monica argues, could be your strongest AI adopters. Surface them, channel their energy, and give them a managed path to do what they were already doing — but safely.
What the Frontline Signals Point To
Across Monica’s conversations with SMB founders, MSP partners, and cross-functional leaders, a consistent set of actions emerged — ones that determine whether an organization’s AI adoption accelerates or stalls.
Use It Yourself Before You Roll It Out
In small businesses, the founder is the culture. If leadership isn’t using AI in their own workflows – writing with it, analyzing with it, building with it – the team has no reference point. Monica calls this being “customer zero.” Credibility comes from doing and not just delegating. The founders who adopt first give their teams a reason to follow.
Start with Friction, Not Features
Monica pushes back hard on the instinct to lead with “tell me about Copilot.” Instead, she asks: what are the two or three friction points in your business – customer-side or employee-side – that cost you the most time, money, or trust? Build use cases around those. Design the workflow fix. The tool choice comes last. Copilot may be one answer, but not always.
Let People Build, Not Just Watch
Passive training such as video links, one-time workshops, generic e-learning, doesn‘t change behavior. What does are hackathons where teams prompt their way through real problems, promptathons that build muscle memory, and cross-functional innovation pods where the marketer, the engineer, and the operations lead sit together and solve something concrete. Monica is direct about this: skilling has to be immersive. If people don‘t touch it, it doesn‘t click.
Balance Security with Space to Experiment
Data foundations, access controls, and governance are non-negotiable but they can‘t come at the cost of momentum. Lock down the essentials, then leave room for teams to test and learn. The two can run in parallel — and for most SMBs, they have to.
From Experimentation to Operating Model
The throughline of the conversation is clear: The organizations pulling ahead aren‘t the ones running the most pilots. They‘re the ones converting early experiments into how work actually gets done — embedding AI into decision-making, team structure, and problem-solving as a sustained practice, not a one-off initiative. For small businesses, that shift starts with the founder, runs through culture, and depends on meeting people where they are.
Soundtrack of Shift
Monica’s Soundtrack of Shift, “Unstoppable” by Sia, reflects her belief that navigating today’s AI-driven transformation requires leaders to overcome self-doubt, lean into change, and move their teams from hesitation to action.
Explore more soundtracks shaping how leaders approach change and transformation today.
Episode Resources
#shifthappens Research: The State of AI Report
#shifthappens Insights:
- Shadow AI is the New Shadow IT: Why Governance Can‘t Wait
- AI Literacy Is the New Leadership Imperative for Organizations
- What’s Slowing AI Adoption and How Enterprises Can Respond | #shifthappens
#shifthappens Podcasts:
- AI in Action: From Change to Competitive Advantage
- Turning Hype Into Habit: Making AI Adoption Stick
- Build AI That People Welcome
- Zero Trust Starts with Leadership
Monica French on LinkedIn
Dux Raymond Sy on LinkedIn
Mario Carvajal on LinkedIn
