Hi MD Abul,
There was a story this week that stopped me mid-scroll.
According to a new report, while 83% of cybersecurity executives believe AI is essential to staying competitive, only 10% of analysts trust AI to work independently and just 22% say it actually improves their productivity.
That’s a serious disconnect.
And it’s one I’ve seen show up far beyond cybersecurity.
Here’s what’s happening:
Leadership sees AI as a breakthrough. Automation, efficiency, proactive threat detection it all sounds like progress.
But frontline teams?
They’re the ones dealing with false positives, shallow context, and black-box models that make decisions without clear reasoning.
And that tension between vision and reality is one of the most overlooked challenges in AI adoption.
This isn't just a tech problem.
It’s an alignment problem.
If the people closest to the work don’t trust the tools, they’ll either avoid them or overcorrect them. In either case, you lose the value.
So what can you do?
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Start with explainability. Don’t just deploy AI help your teams understand what it’s doing and why.
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Keep humans in the loop. Especially in areas like cybersecurity, AI should augment, not replace.
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Use real success stories to build confidence. Trust grows when people see how it helps them today, not someday.
AI adoption isn’t just about capability. It’s about credibility.
And that starts on the ground floor.
If you’re interested in exploring more of these challenges in depth, we’ll be covering them live this August at our Digital Stratosphere event.
Join us in Denver!
Use the code "earlybird" for 20% off your ticket(s)!
Bonus: We’re booking private advisory sessions during the event, just 15 minutes of real talk with someone who’s done this before. Reply if you’d like us to connect you with the right person.
Best regards,
Eric Kimberling
