Journalists are using AI more than ever, and trusting it less in the one place PR teams keep reaching for it. What the data shows, and what it means for media relations in Cairo and beyond.
Journalists are using AI more than they ever have. Research, verification, first drafts, it's become part of the daily workflow in most newsrooms.
There's one place they don't want it: the pitch landing in their inbox.
New survey data this month confirms what a lot of working PR people already suspected but couldn't quite prove, journalists are adopting AI faster than ever for their own work, while actively distrusting it when it shows up in the pitches sent to them.
The same audience getting more comfortable with AI everywhere else is penalizing brands for using it here. For agencies working the Cairo media landscape, where relationships with editors are often the actual asset, that penalty lands harder than the survey headline suggests.
That contradiction is worth taking seriously, because it points at exactly what a pitch is supposed to do, and why AI, used carelessly, quietly breaks it.
What a pitch is actually for
Strip away the format and a media pitch has one job: prove that a specific journalist, covering a specific beat, should care about a specific story, right now, more than the other forty pitches in their inbox that day.
That proof only works if it's personal. A good pitch references the journalist's recent work, understands their beat's actual angle, and explains why this story fits them specifically, not just their outlet in general.
It's a small, deliberate signal: someone did the homework.
That's precisely the signal AI-written pitches tend to erase. Generic phrasing, interchangeable framing, the sense that the same message could have landed in five hundred other inboxes with the names swapped, journalists have gotten fast at recognizing it, and the recognition itself is the damage.
The moment a pitch reads as AI-generated, it stops signaling "I understand your beat" and starts signaling "I didn't bother." That's a worse outcome than a mediocre pitch. It's actively earning distrust in the middle of the one interaction meant to build a relationship.
Why the tools are making this worse, not better
The instinct to reach for AI here is understandable. Pitching at volume is genuinely tedious work, and a tool that drafts faster looks like an obvious win.
But the tools built to save PR teams time are the same ones training journalists to spot the pattern. As AI-assisted pitching spreads, the tells become more familiar, the same structural rhythm, the same slightly-too-smooth transitions, the same absence of anything a journalist couldn't have guessed before opening the email.
What was meant to compress the work ends up compressing trust instead, because the audience on the receiving end is getting better at recognizing the shortcut in real time.
This isn't a case for avoiding AI in PR altogether. It's a case for being precise about where it belongs.
Where AI genuinely helps, and where it doesn't
The useful distinction isn't "AI in PR: yes or no." It's before the pitch versus inside the pitch.
Behind the scenes, AI is a legitimate advantage. Researching a journalist's recent coverage, building and maintaining media lists, drafting internal briefing documents, summarizing background for a spokesperson before an interview, none of this reaches the journalist directly, and none of it carries the same risk. This is where AI should be doing the heavy lifting.
In the pitch itself, the judgment has to stay human. The sentence a journalist actually reads is the one place where the appearance of personal attention is the entire value of the interaction. Drafting it with AI and lightly editing isn't a shortcut, it's outsourcing the one part of the job that was never supposed to be outsourced.
The agencies that will hold up well through this shift aren't the ones avoiding AI. They're the ones using it everywhere it doesn't touch the moment of human contact, and nowhere it does.
The principle underneath this
This connects to an argument we've made before, from a different direction, in our recent piece on Generative Engine Optimization: brands now have to write for two audiences at once, machines and people, and the two demand almost opposite things.
Content built for AI search wants to be structured, explicit, and machine-readable. A pitch built for a journalist wants the opposite: it wants to read as unmistakably, specifically human.
Confuse the two and a brand ends up over-engineering the one moment that was supposed to feel personal.
The operating principle is simple to state and harder to hold onto under deadline pressure: AI should compress the work behind the message, never the judgment inside it.
What this means for Cairo
Cairo's media scene runs on the same dynamic in a more concentrated form: a relatively small circle of editors and journalists who know PR contacts by name, built over years of accurate, well-targeted pitching rather than volume.
In a market where the relationship already carries more weight than the press release itself, an AI-flattened pitch likely costs more here than in newsrooms where the relationship was already transactional.
The same holds across the wider Gulf media landscape. The agencies protecting that rapport carefully now are the ones who'll still have it when the rest of the industry catches up to what journalists are already telling researchers.
Frequently asked questions
Can PR teams use AI to help write a pitch at all? Yes, for research and a rough starting draft, but the version a journalist actually receives should be shaped by someone who knows that specific journalist and can supply the detail AI can't: a real reason this story fits their beat, right now.
How can journalists tell a pitch was AI-written? Through patterns that repeat across pitches from different senders, generic framing, an absence of specific reference to the journalist's actual recent work, and phrasing that could apply to almost any recipient.
Does this mean AI has no place in PR? No. It's a strong tool for research, media list-building, and internal drafting. The distinction is between work that happens before the pitch and the message the journalist directly reads.
Is this trend specific to any region or media market? The underlying survey is global, but the effect is likely sharper in relationship-driven media markets, including much of the Middle East, where personal rapport with journalists carries more weight than it does in more transactional press ecosystems.
MKYCOMM is a principle-led marketing communications agency in Cairo. We build reputation and media relations strategy for brands across 15+ countries and four continents.