I think AI is going to impact PR and the media in all kinds of different ways. We are already seeing it being used more heavily for creating content and even directly communicating with the public. We are also seeing that a lot of people are being pretty outspoken about their dislike for this, as it essentially adds another barrier between the public and organizations. So, those who want to keep using AI for PR and media creation may need to look for different ways of going about that so that they don't lose trust with their audience. I also think that AI, and how readily accessible it is, will only make the public desire and expect faster communication/information.

I’m betting the blanket press release disappears. LLMs can already scan a journalist’s archive, learn their tone, and draft a pitch that reads like it was written just for them-complete with pre-formatted quotes and angles that match their beat. The first firm that feeds a model clean, well-tagged story fragments wins the inbox because every pitch arrives looking like the journalist wrote it themselves. That flips the job of PR: less time word-smithing, more time curating the raw data and insights the model pulls from. I’ve started storing product updates, founder anecdotes, and credible proof points in a structured “story vault” so an LLM can assemble a razor-specific pitch in minutes. Agencies that master data hygiene and speed will own the next media cycle; everyone else fights AI-filtered spam folders.

One significant shift I've noticed with AI and large language models entering the PR and media space is in content creation. These tools have started to handle a lot of the heavy lifting when it comes to drafting press releases, social media posts, and even first drafts of speeches. This frees up the human teams to focus more on strategy and building relationships, which are tougher for AI to manage. But it’s not just about writing; AI is also getting good at analyzing public sentiment and media trends in real-time. This means communications teams can react way quicker during a crisis or when there’s a sudden opportunity. So, the role of AI is becoming indispensable for staying ahead in a super swift media landscape. It's kind of giving everyone a chance to be on their toes, ready to tweak plans on the fly based on what the latest data or trends are showing. Trust me, it’s a game changer!

It's obvious by now that trust in what we see online will go down dramatically - AI-generated videos, voices, even fake interviews are getting harder to spot. This means the value of real trust will go up. Verified voices, transparent sourcing, and human connection will matter more than ever. At Omni, we've seen that when content is clearly made by real experts - people with names, faces, and credentials — it builds lasting credibility, if you highlight that properly.

Honestly, the biggest shift from LLMs is how fast you can test and rewrite a message before it hits the wire. You used to throw drafts around for a week to get the tone right. Now, someone can drop a prompt, edit a few lines, and have a version ready for three different audiences in under ten minutes. It cuts the lag between thinking and responding. Like trimming a board with a table saw versus hand-sawing it—same goal, way more efficient. To be honest, the main insight is this: PR is going to move at the speed of thought. Whoever gets there first with clarity and tone that feels human is going to win attention. That being said, human judgment still runs the show. All that to say, AI won't replace your voice, but it will make it sharper and faster.

When I speak to teams, I teach them to Think Like A Magiciantm by separating method from effect. The effect is what the audience feels. The method is how you make that happen. AI will impact PR and media the same way. The effect you want is trust, relevance, connection. The method is the way you use AI to get there. If your message feels canned, the effect is lost. You have to start with the feeling you want to create. Then choose the right method to make it happen.

One transformative impact of AI and LLMs in public relations and media will be the rise of hyper-personalized, data-driven storytelling at scale. Rather than crafting one-size-fits-all press releases or pitches, PR professionals will leverage LLMs to analyze a prospect's industry, company news, and social media signals in seconds, then generate tailored narratives that speak directly to each journalist's beat and readership. This means every outreach becomes deeply relevant—reference a reporter's recent articles, anticipate the angles they care about, and frame your client's news as an organic fit. On the media side, outlets will use LLMs to instantly summarize breaking developments, suggest interview questions, and even draft preliminary articles, accelerating the news cycle. By marrying human strategic oversight with AI's ability to personalize and scale content, PR teams can forge stronger journalist relationships, boost coverage quality, and deliver more impactful campaigns—reshaping how stories are discovered, shared, and remembered.