By Stephanie McGuirk, Account Director at Interdependence
Artificial intelligence has become incredibly useful in communications. It can scan a reporter’s recent coverage, summarize a beat, identify patterns across outlets, and help teams get to a stronger first draft much faster than before. In the right hands, it’s a genuine advantage. It gives communications teams more time to think strategically, sharpen an angle, and focus on what really makes a story matter.
But there is a line AI cannot cross.
It can help draft the pitch, but it can’t build the relationship behind it.
That distinction matters more now because the temptation is not just to use AI to work smarter, but to use it to do more volume. More outreach, emails, follow-ups, lists. And that is where the value starts to break down. Media relations has never been a numbers game in the way some marketers wish it were. The best results rarely come from sending the most messages. They come from knowing who should receive one, why it matters to them, and why now is the right time.
Better Outreach Starts with Better Preparation
The most effective use of AI in PR is not automation for its own sake, but better preparation.
Used thoughtfully, AI can help teams arrive at outreach with more context. It can quickly surface whether a reporter has covered a topic recently, the angle is already crowded, a publication is leaning toward trend reporting or company-specific news, and if a story genuinely fits the journalist’s audience. It can also help identify weak assumptions before they reach someone’s inbox. That alone is valuable. Too many pitches fail not because they are badly written, but because they were never relevant in the first place.
AI can help improve relevance. It can’t manufacture it.
Personalization Only Works When It’s Real
AI certainly can’t fake trust, either. Reporters know when they are receiving something that was assembled for scale rather than for substance. They know when the reference to their work is superficial or when a pitch was personalized by inserting a publication name and a generic compliment into the first sentence. None of that creates goodwill. If anything, it does the opposite. It signals that the sender used technology to appear thoughtful instead of doing the work required truly be thoughtful.
That’s the real danger in the current AI conversation around media outreach. The issue is not whether teams should use it. Of course they should. The issue is whether they are using it to deepen judgment or bypass it.
The Most Effective Use of AI Happens Upstream
The best communications teams are using AI upstream, not indiscriminately at the point of contact. They are using it to accelerate research, organize inputs, compare themes, and pressure-test a story angle before outreach begins. They are not handing over the relationship itself. They still rely on experienced people to decide whether a story is timely, a pitch is respectful of a reporter’s beat, an exclusive is warranted, follow-up is appropriate, and whether the idea offers anything genuinely useful.
That last point is easy to overlook. Journalists are not looking for more polished noise. They’re looking for clarity, access, perspective, and relevance to their audience. If AI helps a team deliver those things with more precision, it is doing its job. If it helps them send fifty slightly different versions of the same mediocre pitch, it is making the problem worse.
Human Judgment Is Still the Differentiator
AI can help produce better workflows and do the heavy lifting on information gathering, pattern recognition, and first-pass drafting. Then people need to do what they are still best at: judgment, restraint, empathy, timing, and relationship management. Before anything goes out, someone should still be asking the basic questions that no tool can answer on its own. Is this actually newsworthy? Is this the right reporter? Is this useful to their readers? Are we adding value here, or just adding to the pile?
AI can help answer those questions, but only a human communications professional can align the right strategy to make sure the message lands and sticks.
Every Pitch Affects Brand Credibility
People also protect something far more valuable than efficiency: reputation. Every media interaction either adds to a relationship or takes something away from it. A smart pitch sent to the right person can open a door for future conversations, even if the answer is no this time. A lazy one can close that door quietly and for a long time. That is why the rush toward AI-generated outreach should concern any communications leader who cares about long-term brand credibility. Speed has value, but not when it comes at the expense of trust.
The Goal Is Not More Automation. It’s More Relevance.
AI in media relations can’t end with the fastest automation. Brands that use AI effectively become more relevant, more precise, and more respectful because they use the technology well. They will use AI to understand journalists better, not to flood them more efficiently. They’ll recognize that outreach is not successful because it was personalized by a machine, but because it reflects real understanding.
AI is a powerful assistant. It can shorten the distance between a blank page and a solid draft, help teams see patterns they might have missed and move faster when the moment calls for speed.
But media relations still runs on something older and harder to scale. Trust. And trust is built through judgment, consistency, timing, and respect for what journalists actually need.
