In our recent Wisconsin School of Business alumni survey, 87% of respondents reported using AI for work in the last three months. But adoption and readiness are very different things.
While three‑quarters of respondents said their company encourages AI use, only half said their company has a formal AI strategy. Just 39% have a governing body for AI, and only 17% have embedded AI into core workflows.
Most teams are still in pilot mode, experimenting without the guardrails needed to support responsible, confident use. That isn’t a mature AI strategy. It’s improv with a software budget.
Employees feel that gap. They’re enthusiastic about AI’s potential—81% say it improves their productivity, and 73% feel confident using it. However, they’re far less confident in its output. Accuracy, privacy, and loss of judgement top their concerns. Nearly half won’t rely on AI for anything significant. As one respondent put it:
“I can’t help but wonder if the AI’s simply being wrong in more subtle ways I simply can’t currently understand.”
Without a real enterprise strategy, employees are left largely on their own.
The Divide: Fluency, Confidence, and Capability Are Uneven
Beginners reported using AI for an average of three tasks: writing, research, and summarization. Power users reported sixteen, adding brainstorming, data analysis, coding, and agentic workflows. For them, AI has become a new way of working.
This gap means AI training can’t be a one‑and-done workshop. It needs to be an intentional investment to build skill at every level of the organization.
Employees are asking for this level of support:
- 57% want industry‑specific use cases
- 55% want help deploying AI more broadly within their team or company
- 48% want deeper technical understanding
These employees aren’t resisting AI, they want to use it but don’t know how. As one respondent noted:
“My industry is in the stone ages. We’re still on paper for most tasks.”
The Imperative: Organizations Need Real Strategy, Not Encouragement
Today’s workforce is enthusiastic but cautious. They’re asking for guidance their companies aren’t giving them. Encouraging employees to “use AI” is not a strategy. It’s a green light without a roadmap.
Real business impact requires more than experimentation. It requires:
- Specific, practical use cases
- Practical, role‑specific training
- Governance that builds trust
Organizations that invest in these will outpace those hoping employee tinkering eventually gets them there. As one respondent put it:
“It is a tool and should be used as an enhancement to human outputs, not as a replacement for human work and creativity.”