Culture, AI, and the Future of Work with Julie Kniseley

·30 min·2 clips

Julie Kniseley explains why AI is widening the skills gap and leaving many companies behind.

Start by asking. The conversation keeps returning to a basic management habit that still gets missed: leaders need to hear from the employees doing the work before deciding what needs to change. Assumptions can do real damage. The guest says communication matters because employees often know which steps are unnecessary, what is not working, and where improvement is possible. AI does not get a special pass. Whether the change involves AI or something less technical, the rule is the same: do not sit behind a desk and assume the answer is obvious. Trust has to come first. When people believe their input will be heard fairly, they are more likely to name the problem and offer something useful. Surveys can help. So can committees, focused teams, and small competitions built around a specific problem. The point is to make improvement practical, not heavy. One example is cutting twenty steps down to three when the people doing the work can show what they need and why it works. Listening is not the same as nodding along. Leaders have to take in ideas without judgment first, then sort through cost and limits honestly. The follow-up matters. If employees make suggestions and hear nothing back, trust takes the hit. Close the loop. Even when an idea cannot happen right away, leaders should explain why and show that the recommendation was considered. That is the HR lesson here: ask clearly, listen carefully, answer directly, and keep change from feeling like something dropped on people from above.

As heard by us

Julie Nicely turns workplace culture into a practical conversation about employee feedback, trust, and better processes.

Culture comes across here as something closer to daily management than office language. Julie Nicely draws on human resources experience to make a clear case for asking the people closest to the work what is actually happening.

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Why you'd press play

You will hear a practical case for asking the people doing the work where the process is breaking down, then closing the loop with a real response.

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