A few years ago, I was on the in-house product marketing team at a large consulting organization during a period where almost everything was in flux.
Leadership priorities were evolving, the company was repositioning itself in the market, new initiatives kept appearing, and teams were launching campaigns constantly. Everyone was under pressure to move faster, do more, ship constantly.
Around the same time, AI tools started showing up everywhere. Different teams were experimenting with different platforms, workflows, and drafting approaches on their own. Content production accelerated almost overnight.
From the outside, the organization probably looked incredibly productive. Inside the company, though, I started noticing a strange kind of friction. The more communication we produced, the harder it became to maintain a shared understanding of who we were, what we offered, and how different teams were supposed to talk about it.
At first, I assumed this was just part of working inside a large corporation.
Then I sat in on a sales enablement presentation for a new solution offering. That meeting completely changed my view of messaging.
The moment things clicked
Before the enablement session, I had already spent weeks working with subject matter experts and executive stakeholders to help shape the marketing narrative around the solution. Campaign planning was already underway, and content was already being developed.
Then I listened to the sales presentation.
The positioning was different. The USP was something I’d never heard before. Even the explanation of why the solution mattered felt disconnected from the narrative Marketing was relying on.
Two groups inside the same company were preparing to take two completely different stories into the market.
Now this is an important point:
Nobody involved was careless, and nobody was trying to create confusion. The disconnect existed because each team was operating within its own workflows, pressures, priorities, and assumptions.
It wasn’t anyone’s fault, really. I guess, in a way, it was everyone’s fault.
But, in product marketing, it hit especially hard.
Once I noticed it, I started seeing similar disconnects everywhere. Leadership messaging drifted away from campaign messaging. Sales conversations took a different slant than product positioning. Thought leadership claimed very different points of view than active GTM motions.
The organization had talented people throughout every department. The challenge came from how difficult it had become to maintain shared interpretation as execution accelerated.
And that changed the way I thought about how messaging works across complex organizations.
The fragmentation problem organizations quietly struggle with
Over time, I realized the same dynamics were showing up in many other organizations I interacted with.
The details varied, but the underlying patterns felt very familiar. Fast-moving companies were producing ridiculous amounts of campaigns, launch materials, sales enablement assets, thought leadership, executive communication, and customer-facing content. At the same time, many of them were struggling to maintain continuity across all that activity.
One team would optimize messaging for engagement while another optimized for objection handling, and never the twain shall meet. Product teams would introduce new terminology. Leadership priorities would pivot constantly. Campaigns would move blindingly fast.
Then AI accelerated everything further.
That’s when things really went off the rails.
AI accelerates existing organizational friction
Small interpretation differences that once spread gradually started multiplying rapidly. Customers began hearing different versions of the same company depending on which team, channel, or asset they encountered. And these dramatic shifts in voice, tone, core narrative—even the most foundational understanding of who the company is and what they’re in business for—became so blatantly obvious because so much content was being produced and published so quickly.
Most organizations do not notice this fragmentation immediately because the process happens incrementally. But the increments can now be measured in weeks rather than quarters.
And that level of inconsistency is impossible to ignore.
It really comes down to AI’s ability to relentlessly hold the gas pedal to the floor.
Teams that once needed days to create messaging can now create dozens of variations in minutes. Sales teams have the ability to generate outreach instantly. Marketing teams can scale content production faster than ever, and executives can refine communication in real time.
Nearly everyone has gained publishing capability, which can be genuinely useful. At the same time, many organizations have expanded communication output much faster than they expanded alignment systems.
If I can step out on a (pretty sturdy and low) limb, I’d say nearly all organizations face this issue.
AI amplifies inconsistencies that already existed beneath the surface, and that amplification creates unavoidable operational side effects.
- Simultaneous campaigns compete with one another.
- Sales materials drift away from broader positioning.
- Different AI tools and prompting habits reinforce slightly different versions of the same narrative.
- Customers encounter inconsistent explanations depending on which touchpoint they entered through.
Meanwhile, internal teams get more and more frustrated because execution gets harder as content volume increases. But what’s that content doing for the company’s bottom line?
In many cases, next to nothing.
Let’s just say it:
Organizations today already produce more than enough content.
What they need are stronger ways to maintain continuity across distributed teams, workflows, and communication environments to ensure that content tells a strong, cohesive, and recognizable story at every touchpoint.
The moment alignment started feeling real
Let’s go back to me at my desk, so thunderstruck I forgot to leave the Teams meeting for 10 minutes after it ended.
After recognizing these disconnects, I became increasingly focused on improving alignment between Marketing and Sales around shared messaging.
Several months later, I was invited to participate directly in a broader sales enablement initiative around another new solution launch. For the first time, Product Marketing was helping communicate the same narrative framework across both Marketing and Sales simultaneously.
From the outside, the shift probably looked fairly ordinary.
Inside the workflow, though, the difference was huge. People were finally speaking the same language across the customer journey. Not perfectly, but consistently enough that communication started reinforcing itself instead of pulling in different directions.
After the campaign had been running for six weeks, I got some news that brought it all together for me.
A positioning white paper developed by the content marketing team—and they were pretty proud of it—eventually became one of the most shared content assets inside the Sales organization. They loved it. Said it bolstered conversations dramatically. Marketing valued it because it supported lead generation and nurturing. Sales valued it because it helped facilitate early customer conversations.
The same narrative was creating value across both teams because both teams were finally operating from a more unified understanding of the offering itself.
That experience taught me a powerful lesson about high-value messaging work.
The biggest opportunities rarely come from producing more disconnected assets. They emerge when organizations create enough continuity that communication compounds instead of fragmenting.
Messaging shapes how organizations coordinate
So what does that mean for the modern org in 2026?
Well, the situation certainly hasn’t improved.
Most companies still think about messaging primarily through the lens of campaigns, branding, or content creation. But in the real world, messaging influences how organizations coordinate execution.
It affects:
- Sales consistency
- Campaign continuity
- Product interpretation
- Executive alignment
- Customer trust
- Launch coordination
- Cross-functional collaboration
- Asset reuse
- Organizational clarity
When teams lose the narrative continuity thread, friction pops up everywhere, not just in the Content team.
So, is it a personnel issue? Is it an AI adoption or enablement problem? Are companies not throwing enough money at the situation?
In most cases, none of the above.
The companies dealing with these issues already have highly capable people. Most of those people have gotten over their initial resistance to the inevitable impact AI is having on nearly every industry, worldwide. And increasing AI budgets or slashing headcount hasn’t fixed the situation either.
The difficulty still lies in maintaining alignment while communication environments become faster, more distributed, and increasingly AI-assisted.
As content creation becomes easier, strategic clarity becomes more valuable. Human judgment becomes more important. Shared interpretation becomes operationally vital.
The future challenge for most organizations revolves around preserving context, continuity, trust, and coordination while execution keeps accelerating.
Scaling clarity alongside execution
I don’t fear AI. And I don’t think organizations should either.
But I know for a fact that most companies have completely underestimated how much communication complexity AI would introduce into already fast-moving environments.
The companies that navigate the next decade most effectively will, in part, be the ones that can scale clarity alongside execution.
They will create systems that help distributed teams maintain shared understanding while communication volume continues increasing. They will use AI to support human judgment, collaboration, and decision-making.
They will recognize that communication continuity affects much more than marketing performance.
It shapes how organizations understand themselves.