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Employees aren’t using AI the way leaders expect, and productivity suffers. Most teams use AI only to double-check work, not for research, planning, or analysis. This gap comes from weak training, unclear guidance, and fear of mistakes. Employers overestimate AI’s impact as a result. Clear use cases, hands-on training, and embedding AI into daily workflows close the gap and unlock real productivity gains for teams across the organization today globally.
Executive Summary:
Employees aren’t using AI the way leaders expect, and productivity suffers. Most teams use AI only to double-check work, not for research, planning, or analysis. This gap comes from weak training, unclear guidance, and fear of mistakes. Employers overestimate AI’s impact as a result. Clear use cases, hands-on training, and embedding AI into daily workflows close the gap and unlock real productivity gains for teams across the organization today globally.
Employees Aren’t Using AI How Leaders Intended — And It’s Slowing Down Productivity Gains
63% of employees use AI in the workplace to double-check their work. That’s it.
Not for research. Not for workflow management. Not for data analysis.
Your teams are using AI as a proofreader while you’re paying for a strategic tool. Here’s why that gap matters and how to close it.
The Employer vs. Employee Gap

What employees actually do:
63% use AI primarily to double-check their work

1. Lack of Training
Only 23% of employees feel fully trained on the AI tools you provided. They don’t know how to incorporate AI into research, planning, or analysis workflows. So they fall back to the safest use case: verification.
2. Lack of Transparency
Your teams have questions that go unanswered:
Without clear guidance and best practices, they hesitate.
3. Fear of Getting It Wrong
Your employees view using AI for research or analysis as riskier than for proofreading. Doubt leads to under-utilization — and ultimately, lost productivity.

60% of employers say AI significantly increases productivity…
…but only 44% of employees agree — and 10% say it doesn’t help at all.
The result?
Companies believe AI is doing more for the organization than it actually is.
To unlock the real power of AI in the workplace:
Step 1: Create Clear Use-Case Expectations: Show employees exactly where AI should be used with examples and templates. Don’t assume they’ll just figure it out.
Step 2: Provide Real Training, Not Guidelines: Hands-on workshops outperform policy documents every time.
Step 3: Make AI Part of the Workflow: Embed AI into tools people already use, like Slingshot’s AI:
This removes friction and increases adoption.
Employees want to use AI — but they need training, clarity, and confidence to use it the way employers expect.
The organizations that close this gap the fastest will see the biggest productivity lift.
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