The 2026 ECM Trends: What Was Right, What Was Hype, and What Made Us Roll Our Eyes

At the beginning of 2026, TechTarget published its list of the top six content management trends for the year: generative AI, agentic AI, platform expansion, line-of-business involvement, predictive analytics, and automated information security.

Now that we're three-quarters of the way through 2026, it seems like a good time to check in.

What did they get right? What turned out to be a little overblown? And which "new" trends made those of us who have been working with ECM for a while roll our eyes?

To be fair, TechTarget got quite a bit right. AI has clearly influenced the direction of the ECM market. Vendors are expanding their platforms. Security and governance are becoming more complicated. Business users are more involved in automation.

But there's another interesting pattern in the list.

Some of the things the industry is presenting as the future of ECM look remarkably similar to what actual ECM users have been doing for years.

Generative AI: Right, With an Asterisk

This was the easy prediction.

Generative AI has continued to move into ECM platforms, particularly around search, summarization, classification, extraction, and interaction with unstructured information.

The more interesting development is what organizations are discovering as they try to use it.

AI doesn't make information management less important. It makes good information management more important.

An AI tool still needs trustworthy information. It needs appropriate access. It needs context. It needs security. And the organization needs some confidence that the information being returned is actually the information it should be using.

In other words, AI has made metadata, classification, governance, and security interesting again.

We didn't see that coming.

Well, maybe we did.

Agentic AI: Everybody Calm Down

Agentic AI is real, and the potential is significant. The idea of software agents performing tasks across applications, initiating processes, and taking action based on information rather than simply retrieving it is genuinely interesting.

But autonomous agents managing the enterprise content lifecycle?

We're not there yet.

There is a big difference between demonstrating that an AI agent can initiate an approval and trusting one to make decisions involving records, retention, security, compliance, and business rules.

The technology will continue to develop. There will be useful applications. But organizations still need to answer some fairly unexciting questions.

What is the agent allowed to do? What information can it access? Who approved that authority? What happens when it gets something wrong? Can we see what it did afterward?

Those aren't AI questions.

They're governance questions.

So we'll put agentic AI in the "watch this space" category while keeping the humans employed.

Platform Expansion: Absolutely Right. We Have the 2010 PowerPoint.

TechTarget predicted that ECM vendors would continue expanding beyond traditional document and records management into workflow automation, intelligent document processing, electronic signatures, document generation, and other capabilities.

Absolutely.

Except many ECM customers have been doing this for a very long time.

Another reason some of us might roll our eyes at calling platform expansion a new trend is that we've been doing it for years.

Back in 2010, Laserfiche was already teaching account managers to stop thinking about ECM primarily as document storage and start thinking about the larger platform: records management, workflow and business process management, electronic forms, integrations, transactional content management, and information lifecycle management. Their job, in turn, was to take that thinking to partners and customers.

And plenty of people rolled their eyes then.

That's worth remembering now.

It doesn't mean the 2026 prediction is wrong. In fact, it may mean the prediction is finally right at scale. There is a difference between an idea existing, early customers putting it into practice, and the broader market finally behaving as though it is normal.

But let's give those early users some credit. They didn't spend the last 15 years waiting for the ECM industry to discover that documents are part of business processes.

They were busy running those processes.

The technology has improved enormously. Cloud has changed the architecture. APIs have made integration easier. Low-code tools have made automation accessible to more people. AI adds another important capability.

But the underlying idea is that ECM is a platform rather than simply a place to store documents?

Customers figured that out a long time ago.

Sometimes it feels as though the industry periodically forgets the user experience, waits a decade, gives it new terminology, and announces it as a trend.

Line-of-Business Involvement: Records Managers Would Like a Word

This may be our favorite.

The prediction is that line-of-business leaders are becoming more involved in

ECM as organizations identify processes to automate.

Becoming?

Anyone who has worked with ECM in local government may be forgiven for raising an eyebrow.

City clerks, records managers, finance departments, HR teams, police departments, public works, and other business units have been driving ECM projects for decades.

They didn't suddenly discover in 2026 that documents are connected to business processes.

They live those processes.

In fact, some of the best ECM projects have always started with someone in a department saying, "There has to be a better way to do this."

IT remains essential, particularly as ECM has become part of broader enterprise architecture. But the center of gravity for an ECM project has always shifted among IT, Records, the Clerk's office, Finance, HR, and other departments, depending on the problem being solved.

What's changing isn't whether line-of-business involvement exists.

What's changing is that technology makes it easier for those users to participate directly in building solutions.

That's an important distinction.

Predictive Analytics: Interesting. But Let's Not Fire the Records Manager.

Predictive analytics is another area with genuine potential.

Using analytics to identify patterns, surface unusual activity, predict bottlenecks, or identify information that deserves review could be extremely useful.

But one example in the original prediction illustrates why some caution is warranted: AI noticing that employees rarely access records after three years and suggesting that a seven-year retention requirement be reconsidered.

That's an interesting observation.

It isn't a retention decision.

Organizations don't retain records because people keep looking at them.

Retention requirements can be driven by legal, regulatory, operational, and historical needs that have nothing to do with access frequency.

Usage analytics and records governance answer different questions.

AI can give a records professional additional information with which to make a decision. That's valuable.

It doesn't mean the software understands why the retention rule exists.

Automated Information Security: Right Problem, Bigger Question

The prediction that AI would play a larger role in identifying anomalous behavior and potential security threats makes sense.

But in 2026, the conversation has grown beyond using AI to protect content.

Now organizations also have to protect content from inappropriate AI use.

What information can an AI assistant access?

Can an agent act on information simply because it can retrieve it?

Do existing permissions translate correctly when AI is searching across multiple sources?

Can an organization reconstruct what information an AI system accessed and what it did with it?

Once again, the exciting new AI conversation has somehow led us back to some very familiar ECM concepts: access controls, audit trails, information governance, records management, and accountability.

Funny how that keeps happening.

The Trend We Would Add: Reality Caught Up With the Hype

If we were adding a seventh trend to the list, it wouldn't be another AI category.

It would be this:

Organizations are rediscovering the importance of information architecture.

For the past several years, much of the technology conversation has focused on what AI can do.

The more useful question is increasingly becoming: What can AI safely and reliably do with our information?

That's a very different question.

Answering it requires organizations to understand how information enters the organization, how people find it, what processes depend on it, which other systems need to exchange it, how it is governed, and, eventually, how AI should interact with it.

Capture.

Find.

Work.

Connect.

Cloud.

Control.

AI.

The technologies change—the terminology changes. The vendor presentations definitely change.

But the experience of the people actually using these systems didn't disappear while the industry was inventing the next acronym.

Perhaps that's the most useful lesson from the 2026 trend list.

The future of ECM isn't replacing everything organizations learned over the past 20 years.

It's building on it.