From cave paintings to hieroglyphs, to the alphabet to quill and paper, to the printing press, the telegraph, telephone, radio, TV, computer, internet, email, smartphones and social media, communication has evolved. Generative artificial intelligence is the next evolutionary step in communication and in many other industries.
Today, we already use AI in communication. In social media, we watch trending hashtags, track conversations and monitor online mentions. In PR and crisis management, we monitor news media conversations to detect potential crises. We can analyze sentiment in real-time to create proactive responses to emerging issues, protecting an organization’s reputation.
Three ways generative AI benefits communication
- Data insights
AI can produce actionable insights from large sets of data. As AI tools become more powerful, we will be able to understand public opinion better and create messages for specific audiences. We’ll receive even more insights into audience preferences, demographics, pain points, goals, behaviors and trends (now and next). These insights will help us craft more personalized messaging to groups of people.
- Personalized messaging and experiences
AI can help us personalize communications to audiences. We can create personalized content based on audience data, providing a more tailored and engaging audience experience. For example, AI can predict a journalist’s interest and sentiment. A press release can be tailored to a journalist’s interest, increasing the changes of media coverage.
- Optimized content
AI can help us tailor communications for different communication channels. For example, a communication or press release can be summarized for a social media post or website copy. An employee town hall or longer communication can be summarized into key points.
AI can help us choose the best words for search engine optimization (SEO).
AI can also help us refine messages to a specific word count.
Five things to watch out for with generative AI
- Privacy and security: Don’t input sensitive, confidential, or personally identifiable information into AI tools.
- Bias and facts: Humans need to review AI-generated content.
- AI isn’t truly intelligent: AI tools don’t write well with emotion.
- Copyright: You may not own the copyright, so don’t input your next great American novel. Read the terms of AI tools. Over time, the courts and government will figure out copyright laws.
- Ethics: Organizational policies are needed.
AI tools aren’t perfect, but they may be powerful sooner than we think. Right now, they can make our lives easier by reducing mundanity in media lists, research, PPT decks, reports and more.
Won’t all content look and sound the same? Original content is still the Mecca, and it’s our job to make content unique.
The most important part is that we experiment with these tools. ChatGPT, Bard, Midjourney and Stable Diffusion are good places to start.
PS – This blog post is original, written content inspired through experimentation and research.
PPS – The image is created in Stable Diffusion.
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