Your Employees Aren’t Resisting AI. They Just Have No Idea What to Do With It.

There’s a conversation happening in boardrooms and conference rooms across Rochester right now. A leader — maybe it’s you — stands up and says something like, “We need to get our people up to speed on AI.” Everyone nods. Someone asks if a program can be built in house. Someone mentions free links available from Microsoft or Anthropic. A team- usually L&D - takes an 'action item' to come back with a rollout plan.

Sound familiar?

Here’s what the data says is actually happening on the other side of that conversation.

According to a recent Harvard Business Review study of 1,400 U.S.-based employees, 76% of executives reported that their employees feel enthusiastic about AI adoption in their organization — but just 31% of individual contributors actually expressed that enthusiasm. Leaders are more than twice as optimistic as the people doing the work. That’s not a communication problem. That’s a clarity problem. And for SMBs and nonprofits in the Rochester area, where you don’t have enterprise-sized L&D departments or a dedicated AI transformation team, that gap has real consequences.

The Silence Is Louder Than You Think

One of the more striking findings in recent workforce research is how quiet AI adoption has become — and not in a good way.

Even as 80% of U.S. employees use artificial intelligence at work, 57% say they’re reluctant to tell their manager or colleagues they do. And rather than being driven by embarrassment, shame, or fear of job loss, workers are staying silent because they lack training. Only 44% of U.S. employees have received AI training, and just 16% received that training often.

Let that sink in. The majority of your team is quietly using AI tools — or quietly avoiding them — without any real foundation for either choice. They’re making it up as they go. That’s not empowerment. That’s exposure.

Nearly half of workers say they don’t receive sufficient resources and support to use AI effectively, and 42% report a lack of clear AI-use policies. For a small business or a nonprofit running lean, those aren’t abstract statistics. That’s your operations manager googling “how to use ChatGPT” on their lunch break, or your development director quietly wondering whether using AI to draft a grant proposal is allowed.

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The Leadership Divide Is Getting Wider

Here’s the part that should worry every Rochester business owner and nonprofit ED reading this.

AI literacy isn’t evenly distributed . While 82% of executives and 68% of managers say they use AI, only 35% of individual contributors report using it at all. The people closest to your customers, your donors, your mission work, are the least connected to the tools that could help them do it better.

BCG’s global AI at Work survey found that the share of employees who feel positive about AI rises from 15% to 55% with strong leadership support — yet only about one-quarter of frontline employees say they receive that support.

Strong leadership support doesn’t mean forwarding a LinkedIn article about AI. It means building a path. More on that in a minute.

They’re Not Confused Because They’re Slow. They’re Confused Because Nobody Defined the Problem.

Ask ten employees at your organization what AI is and you’ll get ten different answers. Some will say it’s ChatGPT. Some will say it’s a chatbot. Some will reference a news headline about robots. A few will shrug.

Only one-third of employees understand how AI tools actually function. But when workers are well-informed and familiar with these tools, apprehension turns into enthusiasm — they begin viewing AI less as a threat and more as a collaborative partner that enhances their work.

That’s the unlock right there. Understanding precedes adoption. Adoption precedes results.

The EY 2025 Work Reimagined Survey, which covered 15,000 employees across 29 countries, found a similar pattern: while nearly 88% of employees use AI in their daily work, usage is mostly limited to basic tasks like search and summarizing documents, with only 5% using it in advanced ways to transform how they work.

We have a massive workforce using the surface of a very deep tool. That’s like buying a garbage plate and only eating the bread.

The L&D Problem Nobody Wants to Name

Learning and development teams — and at most Rochester SMBs and nonprofits, that’s one person wearing several hats — are being asked to solve an AI literacy problem they weren’t trained for, with a budget that wasn’t designed for it.

But the deeper issue isn’t resources. It’s that most organizations have confused “access to content” with “training.” Pointing employees to a vendor’s learning library — even a good one — is not a development strategy. It’s the organizational equivalent of dropping someone off at the library and hoping for the best.

Workers who feel supported to upskill are 73% more motivated than those who report the least support, making access to learning one of the strongest predictors of motivation overall. That number should hang on every L&D professional’s wall in Rochester.

What employees actually need isn’t a course catalog. They need:

A definition. What does AI mean in the context of our work? Not generically — specifically. What tools are we using or considering, and why?

A policy. What can employees do? What’s off-limits? What happens when they’re unsure? Ambiguity breeds avoidance.

A starting point. Not “here are 47 modules.” One thing. One use case relevant to their role. A quick win that builds confidence before we talk about transformation.

A path forward. Where does this go? What does AI competency look like at your organization in 12 months? What’s the career value of building these skills?

This Isn’t Just an HR Problem. It’s an Everything Problem.

When employees lack clarity about AI, the effects aren’t contained to L&D. They ripple.

Operations can’t improve what people won’t use. Workflows that could be streamlined stay manual. Staff work longer hours to do things that could be automated, then burn out and leave.

Finance can’t get ROI on AI investments when adoption is spotty and unmeasured. You end up with subscriptions nobody’s using and no story to tell your board.

Customer-facing teams stay inconsistent in their outputs — some using AI to draft responses, others not, no standard in place, and no way to know if quality is going up or down.

Nonprofit development teams leave grant opportunities on the table because they don’t know whether or how to use AI to research funders, draft narratives, or manage donor communications.

The clarity problem isn’t a soft skill issue. It’s a business performance issue.

What “Enough” Actually Looks Like

This is where most conversations about AI training go wrong. Organizations treat it as a one-time event — a lunch-and-learn, a vendor webinar, a “resources” page on the intranet. Then they wonder why nothing changes.

BCG’s survey found that regular AI usage is sharply higher for employees who receive at least five hours of training and have access to in-person training and coaching. Five hours. That’s not a weekend bootcamp or a semester-long certification. It’s a focused, intentional few sessions that actually connect the tool to the work.

The difference between “here are some links” and “here’s your path” is the difference between compliance and competence.

For Rochester’s SMBs and nonprofits, that path doesn’t have to be expensive. But it does have to be intentional. It has to answer the three questions every employee is quietly asking:

What is this AI stuff, really? What does it mean for me? What do I do first?

A Final Thought

The organizations navigating AI well right now aren’t the ones with the biggest technology budgets. They’re the ones who took the time to be honest with their people about what’s changing and why, who built a real path forward instead of pointing to a portal, and who understood that clarity is not a luxury — it’s the prerequisite for everything else.

Rochester has always done more with less. We’ve built world-class companies, research institutions, and community organizations without Silicon Valley budgets. We know how to be resourceful.

But resourcefulness without direction is just busyness. And your people deserve better than that.

RochesterAI helps SMBs and nonprofits across the Greater Rochester area build practical, people-first AI strategies — starting with clarity. Reach us at RochesterAI.org.