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AI adoption is accelerating, but for most organisations it is still ad hoc. Tools are bought reactively, budgets keep growing, and few leaders can say with confidence what is being used, what is working, or what return they are getting. Some companies are already going further, cutting roles on the assumption that machines can simply take over tasks from people. What rarely gets examined is what those decisions do to the people who remain, the culture they work in, and the customers they serve.
So what do organisations need to understand about how work happens before they let AI reshape it?
My guest this week is Sam Naficy, Chairman and CEO of Prodoscore, a data analytics company that studies employee engagement, productivity, and collaboration in large enterprises. In our conversation, Sam shares what his data reveals about AI use and productivity, the cultural consequences of automating roles, and why visibility into work has to come before automation.
In the interview, we discuss:
Why most organisations are still in the early stages of AI adoption
The growing gap between AI spending and visibility into what is being used
What the data shows about heavy AI users and productivity
Why some employees adopt AI faster than others
The unforeseen impact of automation on workplace culture
What happens to the teams that remain when their AI replaces their colleagues
Stress-testing workforce changes before making them
