2026 Peakwell × BFH Report

Closing the AI Adoption Gap

Where Swiss organisations stand today, and how they can move forward. Based on interviews with the people responsible for AI adoption in 25 organisations.

25 Swiss organisations230,000 employeesWith Berner Fachhochschule
By Dr. Joël Krapf and Mel Nikolic
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Pages from the report: the current landscape, the most common adoption blockers, closing the AI adoption gap, from sandbox to factory, five building blocks
At a glance

Usage is up. Capability often isn't.

  • 75%measure licences and usage
  • 6%measure behaviour change
  • 25organisations interviewed
  • 230kemployees represented
What's inside

From summary to take-aways.

  1. Chapter 0Executive SummaryThe key findings at a glance.p. 4
  2. Chapter 1The Current LandscapeWhere Swiss organisations stand today, and why most are concluding experimentation.p. 5
  3. Chapter 2What’s Getting in the WayThe most common adoption blockers: uneven skills, shadow AI, lack of time, fear and uncertainty, lack of governance.p. 10
  4. Chapter 3What Good Looks LikeHow organisations make AI stay alive long-term, from sandbox to factory: ambassadors, communities and clear structures.p. 17
  5. Chapter 4Measuring Adoption75% measure licences and usage, only 6% measure behaviour. What to measure instead.p. 24
  6. Chapter 5The Path ForwardFive building blocks for a genuinely AI-enabled enterprise, and how to start.p. 28
  7. ConclusionKey Take-AwaysWhat to act on first.p. 36
In AI, standing still means falling behind.
Rolf · Lead Strategic Organizational Development, CSS

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