AI is making agency work faster.
Research that once consumed hours can be accelerated. First drafts arrive in seconds. Monitoring can be automated. Translation, transcription, summarization and routine content production are becoming increasingly efficient.
That creates an obvious question for the communications industry: if technology makes more of the work easier to produce, where does an agency bring value?
As routine execution becomes faster and cheaper, value moves toward judgment, senior counsel, trusted relationships, category experience and genuine knowledge of local markets.
“Answers are cheap,” said Roger Hurni of Off Madison Ave. He argues that “the expensive part is knowing which problems deserve solving. Judgment comes from experience, and experience sits with senior leaders.”
The distinction between speed and expertise will become increasingly important in 2027. After a period marked by consolidation, restructuring and staff reductions across the communications industry, brands are evaluating not only what their agencies produce, but how they produce it.
Brands know that AI in the mix, but they will want to know who is actually doing the thinking. In essence, AI will not eliminate the agency premium. It may relocate it. Those are areas where independent agencies have an opportunity to compete on something other than scale.
AI changes the economics of execution
Much of the communications work that historically required significant human time can now be accelerated with AI. AI can help gather information, draft material and improve production efficiency. It cannot provide the unique insight that makes communications worth paying attention to.
Serge Beckers of Wisse Kommunikatie sees a clear implication for the agency business model. His prediction is stark: “Content creation will become a commodity, consultancy will become the primary revenue model.”
That doesn’t mean content stops mattering. It means producing something is no longer enough to justify a premium. If every agency has access to powerful research, drafting and analytical tools, the competitive advantage cannot simply be possession of those tools. It becomes how they are used.
What should the client say? What should it not say? Which opportunity matters? Which finding is a distraction? When should a company move quickly? When does experience say to wait?
These are judgment calls.
“Leaner agencies are the result of AI integrations,” said Tony Fanizi of True Digital Communications. “whether they use AI as an amplifier or eliminator will separate the authentic specialists from the volume-driven agencies.”
Senior access becomes part of the product
For independent agencies, that creates a structural opportunity. Susie Horgan of Springboard Communications says clients increasingly value the personal model independents can offer. She predicts “that means direct access to senior, experienced advisers who know our clients’ businesses and stay involved from beginning to end. This is what sets independent agencies apart from others. “
As AI absorbs more routine work, she expects those years of experience to become even more valuable. At an independent agency, there model is not simply about senior people attending a pitch and then handing the work down.
Engaged leadership means it reduces the distance between the client problem and the people with the experience to interpret it.
Smaller, independent organizations can often make that access central to their operating model. Decisions do not necessarily have to travel through the same number of organizational layers. Senior leaders can remain closer to the work, the client and the market.
In an environment where technology makes production easier, that proximity becomes part of the service.
Stefan Pollack of The Pollack Group muses, “after 25+ years in Worldcom, I have seen firsthand that practitioners with deep local relationships can distinguish between a truly global campaign and a global copy-and-paste. The winning model for 2027 is clear: independent agencies equipped with advanced AI tools, senior talent, and trusted local partners. Technology delivers the scale; people deliver the judgment.”
Experience is context accumulated over time
The same principle applies to specialization. Kayleigh Hanlin of True Digital Communications believes independent agencies become particularly valuable when they bring deep expertise in an industry.
Understanding a category means more than learning its terminology. It means knowing the buying cycle, audience expectations, commercial pressures, common objections and recurring problems. It means recognizing patterns because you have seen variations of them before.
AI can process an enormous amount of information. But Hanlin argues it doesn’t replace “years of context, pattern recognition and industry knowledge.”
This suggests a different agency model for the AI era. Instead of selling access to production capacity, the most valuable agencies may increasingly sell deep knowledge of a specific industry sector.
As global execution gets easier, local knowledge gets more valuable
AI makes it easier to distribute communications internationally. It can translate copy, summarize market research, adapt content and produce variations for different channels almost instantly.
But translation is not the same as localization.
Imma Folch of LF Channel points to Spain as an example of why. Spain has four official languages, powerful regional media ecosystems and 17 autonomous communities with distinct institutions, business networks and cultural dynamics. A message that works in Madrid may not land the same way in Barcelona or Bilbao.
“No AI tool and no global template can tell a client which journalist in Barcelona will actually take the call,” Folch says, or understand every circumstance in which cultural nuance could turn a promising campaign into a mistake.
That is where local experience stops looking like an operational detail and starts looking like intellectual property.
Caroline Prince of Yucatan frames the point another way: “AI amplifies what you give it. Feed it noise and you get louder noise. Feed it real on-the-ground knowledge of each market and it becomes a lever for international programs.”
Give the system generic assumptions and it can create generic output faster. Give it deep on-the-ground knowledge and it can amplify something much more valuable.
The technology scales information. It does not manufacture experience of a place.
Relationships remain stubbornly human
There is another part of local communications that resists standardization: relationships.
Johannes Martschin of Martschin & Partner argues “what remains is precisely what corporations find structurally difficult to scale when entire PR brands disappear in a restructuring: local practical knowledge, personal relationships with editorial offices and government agencies, and a deep understanding of how communication actually works.”
Pollack makes a similar distinction. AI can help produce a communications plan. It cannot necessarily determine which journalist in Denver, Düsseldorf or Singapore can genuinely move a narrative. It doesn’t instinctively know why an idea will resonate in one market and fall flat in another.
Those judgments come from repeated interaction with press and editorial contacts. That matters because PR is not purely an information business. At its core, it is a relationship business.
AI may reduce the effort required to identify a journalist. However, it cannot manufacture years of professional trust and experience with that journalist. As machine capabilities become more pervasive, the assets you cannot scale become more distinctive.
Local depth no longer has to mean limited reach
When evaluating options, brands often face trade-off when choosing agencies. A large global network offers geographic coverage and operational scale. A local independent agency provides proximity and market knowledge but could appear more limited internationally.
Networks of independent partner agencies offer a different model.
Martschin describes his agency’s position as locally rooted in the German-speaking market while working internationally through Worldcom PR Group. Folch makes a similar case for combining genuine local depth with a global network.
That combination may be especially relevant in an AI-enabled agency environment.
Shared technology can provide some of the scale that once depended on large centralized organizations. Independent partners can use common tools, exchange knowledge and coordinate international programs while retaining direct ownership of relationships in their own markets.
The result is not a choice between global and local. It is finding pr agencies who are in a partnership with a model designed to combine them.
Transparency will matter more as AI changes the work
If AI can level some of the content generation playing field, agencies will face greater pressure to demonstrate where human value enters the process. They will be transparent about:
- Who is actually working on the account?
- What is automated?
- Where is senior judgment being applied?
- What expertise is the client paying for?
Elizabeth Marshall Black of K Harvey Brand Partners expects the consolidation and restructuring of large agency groups to show why “genuine local knowledge of the media, culture and people in a market becomes the one thing a template can’t replace. That’s exactly where independent networks like Worldcom win.”
That does not mean every independent agency automatically has an advantage. Independence by itself is not expertise. A smaller organization can still over-automate, under-resource or produce undifferentiated work.
With automation, there is also another group in the mix that represent growing competition – the independent consultant. They “claim to have experience and subcontracted teams for a given service,” explains Luis Felipe Sánchez Lam of Estrategia Relaciones Públicas. “But when difficult moments arrive, such as sensitive issues or even ones that escalate into crises, those consultants don’t have teams capable of responding effectively, because they lack what is essential to an agency: its knowledge not only of the local market, but of how that client behaves in that market and how each audience responds to it.”
Technology standardizes the tools, not the judgment
By 2027, capable agencies of every size will have access to powerful AI. That will make the technology itself less differentiating.
The more interesting questions will be human ones. It will be important to have team members who know how to respond to have an intimate knowledge of a client.
“Clients increasingly need people who understand not only what is happening, but why it matters locally,” Stephanie Phillips of Phillips Group. She continues, “how different audiences may respond and where the reputational or stakeholder risks sit.”
If that happens, the independent agency opportunity will not come from trying to replicate the scale of a holding company with fewer people. It will come from competing on something different: access, specialization, judgment and local knowledge.
AI can make communications faster. A direct connection to the best thinking will make companies navigate the shift environment.
The premium will increasingly be knowing what to do when companies need something more than speed.
