InsightsAI & People

Why AI Adoption Is a People Challenge Before It Becomes a Technology Challenge

AI value is unlocked by people who feel able to use it — not by licences alone.

Ten observations from leading enterprise AI enablement for more than 900 colleagues at Banglalink.

The hook01

Most AI programmes don’t stall at the model. They stall at the moment a person decides whether to use it.

The common assumption02

The evidence03

Data

75%

of global knowledge workers reported using AI at work — yet 60% of leaders worried their organisation lacked a clear plan and vision to implement it.

79% of leaders said their company needed to adopt AI to remain competitive.

What I observed04

The turning point was never access to a tool. It was the moment someone saw AI solve a problem from their own job.

From leading AI Ascend and Digi-Ignite

My take05

AI adoption is a confidence problem disguised as a technology problem.

People adopt what they understand, trust and see others like them using.

A framework06

The practical implication07

Data

39%

of AI users said they had received AI training from their company. Most are learning on their own.

PwC (Global AI Jobs Barometer, 2025): skills are changing 66% faster in jobs most exposed to AI.

The leadership question08

If your AI licences doubled tomorrow, would your organisation’s ability to use them double too?

The bigger takeaway09

AwarenessExperimentationFluencyRole transformation

Capability is built in stages. Skipping one shows up later as low adoption.

Closing10

AI is becoming the new Excel. The organisations that win will be the ones that teach everyone to use it well.

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The insight in ten cards