🚧 7 Barriers to AI Adoption in Mid-Sized Companies
(Insights from the AMPER Conference panel discussion)
AI is everywhere—but in most companies, real usage is still near zero.
Here’s what’s holding teams back 👇
1. Lack of Awareness
Most employees don’t know what AI can actually do for their role. No context = no adoption.
2. Cultural Resistance
“If it’s not broken, why change?”
People fear AI or see it as irrelevant—until they experience personal value.
3. No Practical Use Cases
Starting big often fails. The best results?
Tiny wins: document search, email drafts, spreadsheet checks.
4. Generic Tools, Bad Results
Engineering teams struggle with models mixing US/EU standards.
➡️ Specialized models beat general ones every time.
5. Poor Integration
If AI lives in a separate app, forget it.
Users want one-click tools inside the tools they already use.
6. Limited Training
Most training is too technical or abstract.
Practical, role-based workshops make a real difference.
7. Unclear ROI
AI may save 2 hours—but does the implementation scale?
Without a clear value case, adoption stalls.
⸻
✅ Want adoption?
Start small. Make it easy. Show value fast.
Treat AI like Excel in the 90s: train, integrate, repeat.
(Insights from the AMPER Conference panel discussion)
AI is everywhere—but in most companies, real usage is still near zero.
Here’s what’s holding teams back 👇
1. Lack of Awareness
Most employees don’t know what AI can actually do for their role. No context = no adoption.
2. Cultural Resistance
“If it’s not broken, why change?”
People fear AI or see it as irrelevant—until they experience personal value.
3. No Practical Use Cases
Starting big often fails. The best results?
Tiny wins: document search, email drafts, spreadsheet checks.
4. Generic Tools, Bad Results
Engineering teams struggle with models mixing US/EU standards.
➡️ Specialized models beat general ones every time.
5. Poor Integration
If AI lives in a separate app, forget it.
Users want one-click tools inside the tools they already use.
6. Limited Training
Most training is too technical or abstract.
Practical, role-based workshops make a real difference.
7. Unclear ROI
AI may save 2 hours—but does the implementation scale?
Without a clear value case, adoption stalls.
⸻
✅ Want adoption?
Start small. Make it easy. Show value fast.
Treat AI like Excel in the 90s: train, integrate, repeat.
