For the past few years, business leaders have heard a consistent message about artificial intelligence: Move quickly. Experiment. Learn. Don’t get left behind.
Recent calls from AI industry leaders to slow down and be more deliberate about the pace of development have understandably attracted attention and shifted the narrative. What does it mean when the people building the most advanced AI systems are urging caution?
For organizations that have spent the last several years figuring out how to adopt AI, it would be easy to interpret the conversation as a reason to pump the brakes.
But there’s an important distinction.
The debate over how quickly increasingly powerful AI models should be developed isn’t the same as how businesses should be using the available AI capabilities.
Moving forward doesn’t have to mean moving recklessly.
If anything, the current conversation reinforces that organizations should be moving beyond AI experimentation and becoming more intentional about where, why and how they use it.
Early AI adoption often focused on relatively simple questions, such as “Can it summarize this document?” or “Can it help me generate some ideas?” As AI has become embedded in more consequential work, the questions must be more nuanced and strategic.
Is this an appropriate use case for AI? Are we giving it the context and direction it needs? How will the output be reviewed? What happens if it gets something wrong? And, perhaps most importantly, does using AI here actually improve the work?
Asking these questions is part of the natural progression for an organization maturing in its use of AI.
Not every use case carries the same risk
There’s a significant difference between prompting AI to generate 20 headlines and prompting it to draft a response to a sensitive employee issue. Using it to summarize publicly available research isn’t the same as feeding it confidential business information.
Communications teams must think about AI not simply as a tool that can make them faster and more efficient, but as one that requires judgment about where human context, empathy, expertise and accountability matter most.
Sometimes AI can do much of the heavy lifting, with a person making the final product substantially better. Other times, the most valuable decision a communicator can make is that AI shouldn’t be doing the work at all. Knowing the difference is becoming a critical skill.
The goal is better, not just faster
Speed and efficiency are easy to measure, which is why they’ve dominated the AI conversation. But some of the most promising applications aren’t about doing the same work faster.
AI allows us to analyze information at a scale that wasn’t previously practical, empowering communications professionals to explore more scenarios before recommending a course of action, pressure-test communications with simulated audiences and identify patterns across large volumes of stakeholder feedback. Used this way, AI can provide more information and perspective to inform judgment.
That’s a much more interesting proposition than shaving 30 minutes off a task.
Caution and adoption can coexist
The debate about the pace of AI development deserves attention. The technology is evolving quickly, and questions about safety, governance and accountability matter.
But organizations don’t need to choose between taking those concerns seriously and continuing to explore what AI makes possible. We can encourage experimentation while recognizing that some applications require greater scrutiny. The technology can be embraced without assuming every task needs an AI solution.
For most organizations, the next stage of AI adoption should be about knowing where it creates value, where it introduces risk and where human judgment is critical. That kind of thoughtful, deliberate adoption is essential.
At Dix & Eaton, we’re helping clients think through what AI means for their communications teams and providing training to help teams build their knowledge and confidence with the growing number of tools available.
If your organization is considering what’s next on its AI journey, contact us today. We’d be happy to help serve as your thought partner.
