Why Our AI Use Must Shift From Reactive to Proactive

Andy Jordan is President of Roffensian Consulting S.A., a Roatan, Honduras-based management consulting firm with a comprehensive project management practice. Andy always appreciates feedback and discussion on the issues raised in his articles and can be reached at [email protected]. Andy's new book Risk Management for Project Driven Organizations is now available.

  Artificial Intelligence  

A number of organizations that I speak with are finding that the use of reactive AI tools is falling in their project teams. (By reactive, I mean things like ChatGPT where the tool only provides information or answers questions when prompted.) Even in organizations that have their own private implementations of this type of solution, usage isn’t as high as it first was.

This isn’t necessarily an unexpected outcome. When any new form of technology comes along, there will be a percentage of users who try it a few times and then decide that it isn’t for them. And with AI being so accessible, there were few barriers to those exploratory attempts. But what I am seeing now is going beyond simple “tire kicking.”

It’s more about individuals, teams and sometimes entire organizations looking at what the reactive AI tools have offered them and determining that they aren’t providing value. There may be any number of reasons for that, and a lot of those reasons will be more to do with how people interact with AI rather than the tools themselves. But if that determination is made, it’s going to take a lot for the tools to be trusted again.

A part of me thinks that may be a good thing when it comes to tools like ChatGPT. The reliance on publicly available data, combined with questionable algorithms to ensure the efficacy of that data, …

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