Internal communications professionals play a crucial role in keeping organizations informed and engaged. They are responsible for crafting messages that resonate with employees, ensuring that everyone is on the same page and working towards the same goals.
However, as the number of employees and communication channels grows, the challenge of creating effective and personalized communication becomes more difficult. This is where generative AI comes in, as your new intern, to help you be your best self. But first…
What Is Generative AI?
Unless you have been living under a rock, you’ve likely heard of ChatGPT in the last few months. It is based on “generative AI” which is a technology that allows machines to create content on their own based on input data. It uses algorithms and models that learn patterns from large sets of data, allowing it to generate new content that is similar to the input data.
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In the context of internal communications, generative AI can be used to create messages, newsletters, and other forms of communication that are tailored to the needs and preferences of individual employees. Here are some ways generative AI can help internal comms professionals be more effective:
The Use of Generative AI in Internal Comms
Automating the process of creating messages:
Just like an intern who takes on repetitive and time-consuming tasks, generative AI can automate the process of creating first drafts of messages. This frees up internal comms professionals to focus on more strategic and creative work.
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Translating and changing the tone to match the audience:
Anyone who works in internal communications in a large multi-national organization knows that it is anything but easy to get messages to resonate with a diverse workforce. AI can help with this by not just translating the content word for word, but making slight changes to it to match the expectations of the audience based on their backgrounds.
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Improving over time:
Similarly to how an intern can develop new skills and knowledge over time, generative AI can improve its output as it receives more data and feedback. As internal comms professionals use generative AI, they can provide feedback and refine the machine learning algorithms, leading to more accurate and effective messaging. This means that generative AI can become an increasingly valuable asset to internal comms professionals over time.
Ideation and new perspectives:
Like an intern who can bring new perspectives and ideas to a project, generative AI can help internal comms professionals find new angles for their communication. By generating new ideas and approaches based on the data it has been trained on, generative AI can help internal comms professionals break out of traditional communication patterns and find new ways to engage employees. For example, generative AI can be used to find analogies that are relevant to the topic at hand.
In this way, generative AI can be like an intern for internal comms professionals, automating tasks, improving over time, streamlining workflows, providing real-time updates, and promoting innovation thereby allowing internal comms professionals to offload some of the operational burden.
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Conclusion
This is just the tip of the iceberg as we find creative ways to use this new technology and integrate it into our daily working lives, similar to what happened with the proliferation of the internet over two decades ago. That said, AI is not a replacement for the human element but instead a tool to make us more efficient and better at communication. Like any tool, its value is determined by the abilities of its user to use the tool correctly.
While there may be concerns about the use of AI in the workplace, generative AI has the potential to revolutionize the way internal communications are created and delivered. As with any technology, it is important to ensure that generative AI is used ethically and responsibly. However, the benefits of this technology are clear, and it may be a game-changer for internal comms professionals who are looking to work smarter, not harder.
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This blog article was co-authored by a human and ChatGPT.
