It’s 3:52 on a Tuesday, and you finally have time to focus on that press release that’s been on your list. You open your favorite AI tool, write a prompt, and seconds later there’s a ready-to-send draft on your screen. If you’re a comms or marketing leader, using AI for PR work like this is probably already part of your workflow. The structure works, the quotes sound reasonable, and the release could, technically, go out.
But you’re not sure if it should. That pause - the one before you hit send - is where the real PR work actually starts, and it’s the part AI doesn’t touch.
You’re probably already using AI somewhere in your workflow - drafting releases, summarizing pitches, putting together talking points, writing first-pass bios. The real question is what AI is actually good at, where it falls short, and how to use it without losing the strategic thinking that determines whether any of it lands.
Here’s an honest look at the pros and cons of using AI to create PR materials - and where senior judgment fills the gap between fast output and the right output.
What does it mean to use AI for PR?
For a lot of communications teams, using AI for PR has become quietly central - it’s running in the background of nearly every draft, pitch, and statement, even when no one’s calling it out. The producing part used to take hours. Now it takes seconds.
What hasn’t changed is the importance of the thinking around the draft, which you can’t necessarily trust AI for.
According to the 2025 Cision State of the Media Report, half of journalists now receive 50+ pitches per week, and 86% reject pitches outright for lack of relevance. The same report found that 53% of journalists use generative AI in their own work, but 72% cite factual inaccuracy as their biggest concern with AI-generated pitches. Getting to a first draft faster doesn’t help if the draft you’re sending is the wrong one - or the inaccurate one.
What are the pros of using AI for PR?
AI is genuinely strong at the mechanics. It produces clean structure, standard formatting, and workable first drafts fast enough to take the weight and burden of content creation off your plate.
A short list of what AI handles well across PR materials:
- Standard press release structure (headline, dateline, body, boilerplate)
- First-pass media pitches and outreach emails
- Talking points and Q&A prep
- Executive bios and speaker briefs
- Workable summaries of complex topics
- Plausible quote drafts based on context
- First-pass headlines, subject lines, and social copy
If you’re starting from a blank page, AI can compress what used to be hours of drafting into minutes. Any comms or marketing leader not using these tools at all is leaving meaningful capacity (and sanity) on the table.
What are the cons of using AI for PR?
The drafting is the easy part. The harder calls - the ones that determine whether PR materials actually land and are good - are where AI misses, because it doesn’t have the context or judgment to make them.
Five places this shows up:
1. Story selection. AI tends to lead with whatever’s most obvious in the prompt - usually the surface-level announcement, not the angle that’s actually going to earn coverage. The strongest stories often live one or two layers deeper than the thing you typed in.
2. News judgment. There’s a difference between real news and an internal milestone dressed up to look like news. AI doesn’t reliably know if your announcement is newsworthy. Pitching the second kind costs you credibility with reporters - the kind that takes years to build and a single bad pitch to chip away at.
3. Voice authenticity. AI writes quotes that sound like quotes. If you’re lucky, they sound like the actual person being quoted. Often they don’t. The same problem shows up in talking points and bios that don’t sound like the leader they’re meant to represent.
4. Scrutiny risk. Every announcement, statement, or pitch has a flip side. The leadership transition that reads as fresh energy to one audience reads as instability to another. AI doesn’t pause to consider what’s waiting on the other side of the story.
5. Timing. AI doesn’t know what else is happening in the news cycle this week, what your team is already managing, or whether holding the announcement another week would change how it lands. Those are context calls AI doesn’t have the context for.
How should comms and marketing leaders use AI for PR?
The approach we recommend (and use) is human-led, AI-assisted. AI handles the drafting and production work. Senior PR judgment handles everything around it - the story call, the timing call, the scrutiny call, the should-this-even-go-out-right-now call.
In practice: AI produces a fast first draft from a well-built prompt - whether it’s a release, a pitch, talking points, or a bio. A senior PR person reviews it against the questions that matter: story selection, news value, voice authenticity, scrutiny risk, and timing. The draft gets edited, reshaped, or scrapped based on those answers.
Many comms and marketing leaders are using AI for PR well, but are still finding that the strategy is harder than the execution. The senior judgment layer is what turns serviceable AI output into a strategic PR approach that drives awareness, influence, and growth.
When should you bring in senior PR judgment alongside AI?
The answer comes down to stakes. Any time getting the announcement wrong would cost you more than getting strategic support, senior judgment is the move. For most mission-driven organizations and companies, that threshold is lower than they think.
Some questions to sit with: Is this material going to a reporter relationship you’ve spent years building? Is there a public-facing risk if the story gets framed wrong? Does your team have the bandwidth to think through second-order effects, or just the first-pass version? If you’re answering yes to any of those, senior judgment alongside the AI tools is the move.
Six questions worth running through before sending anything AI helped you draft - a release, a pitch, talking points, a statement, a bio:
- Is this the right story to lead with, or just the most obvious one?
- Is this actually news, or an internal milestone dressed up to look like news?
- Are the quotes and voice things your spokesperson would actually say?
- What headline would a reporter write from this (and is that the one we want)?
- What scrutiny does this draft invite that you haven’t accounted for?
- Is now the right time to send this, or is the right call to hold?
Using AI for PR isn’t going anywhere, and it shouldn’t. What matters is getting clearer on what AI is for, and who’s doing the thinking around what it produces. The teams that get that part right are the ones who’ll build momentum faster, cut through the noise, and get their organizations the attention and support they deserve.