Originally published July 24, 2015. Updated September 25, 2026.

 

In 2026, a smart AI content strategy isn’t about producing more. It’s about using AI to create better, more distinctive content without losing the thinking, taste and voice that make a brand worth paying attention to.

 

For years marketers told us that “content is king.”

Then content became emperor.

Then every company on earth hired a content team, opened six social accounts, started a podcast, experimented with TikTok and eventually asked an intern to explain Discord.

Now we have AI.

So perhaps it’s time to retire the monarchy altogether.

In 2026, content is something much more important: it is the interface between your brand and the world.

It is what your customers see. What Google understands. What an AI assistant may quote or summarize. What someone sends to a colleague. What establishes whether your company knows what it is talking about—or has simply discovered the “Generate” button.

That changes the job considerably.

The Content Problem Has Flipped

A decade ago, creating enough good content was difficult.

Today, creating content is extraordinarily easy.

AI can draft an article, create images, generate video, turn a webinar into ten social posts, summarize a research report, write three versions of an email and probably offer some unsolicited suggestions about your tone while it’s at it.

And marketers are using it.

Content Marketing Institute found that 81% of B2B marketing teams were already using generative AI tools, although only 19% said AI had been systematically integrated into their daily workflows. Interestingly, just 4% reported a high degree of trust in AI-generated output.

That combination tells us quite a lot.

We love AI.

We just don’t entirely trust the little bastard yet.

Nor should we.

AI has dramatically lowered the cost of producing competent content. But when everyone has access to essentially the same extraordinary tools, competence itself stops being much of a competitive advantage.

The scarce resource becomes something else:

Perspective.

Original experience. Taste. Expertise. Judgment. Personality. Research. Access. A recognizable point of view.

In other words: the things your competitors cannot reproduce simply by typing a better prompt.

Welcome to the Age of Commodity Content

There is about to be more reasonably good content created than at any moment in human history.

That sounds wonderful.

It is also a problem.

If ten competitors ask an AI system to explain the same topic using the same publicly available information, we shouldn’t be terribly surprised when the resulting articles all sound like cousins.

Perfectly pleasant cousins.

Well structured.

Grammatically impeccable.

Absolutely exhausting at Thanksgiving.

This is why a modern content strategy can’t simply be a production strategy.

Your goal isn’t to create more content. Your goal is to create content worth finding.

Google itself is increasingly explicit about this. Its guidance for both traditional and AI-powered search encourages publishers to create unique, useful, non-commodity, people-first content, particularly content containing firsthand experience or a distinctive point of view rather than information that simply restates what already exists online.

That’s not an anti-AI position.

Quite the opposite.

AI should be used aggressively where it makes the work better: research assistance, ideation, analysis, versioning, repurposing, editing, visualization, production and personalization.

But the machine should multiply your thinking.

It shouldn’t replace the need to have any.

Search Is Changing Too

For years, the basic content-marketing transaction was fairly straightforward:

Create useful information → rank in search → earn a click → build a relationship.

That transaction is changing.

Google’s AI Overviews now synthesize answers directly inside search results, and Google says AI Overviews have reached more than 1.5 billion users across 200 countries and territories.

The consequences for publishers are already measurable.

A Pew Research Center analysis of U.S. browsing behavior found that when a Google search produced an AI-generated summary, users clicked a traditional search result 8% of the time, compared with 15% when an AI summary was not present. Links contained inside the AI summaries themselves were clicked in only about 1% of visits.

That doesn’t mean SEO is dead.

SEO has survived approximately 14,000 previous declarations of its death and appears irritatingly healthy.

Google itself says conventional SEO fundamentals remain relevant to AI-powered search.

But the objective is expanding.

Brands now need to create content that can be:

Found. Understood. Trusted. Referenced. Shared. Remembered.

The last one may ultimately matter most.

Brand Voice Just Became More Valuable

When production was expensive, brands often struggled to create enough material.

When production becomes cheap, they struggle to remain recognizable.

That makes brand voice increasingly valuable.

Not “brand voice” in the old corporate-brand-guidelines sense:

Innovative. Approachable. Trusted. Forward-thinking.

Congratulations. You have just described approximately every company ever created.

A real voice means someone should be able to read a paragraph without seeing the logo and have some chance of knowing who wrote it.

It can be intelligent.

Funny.

Opinionated.

Generous.

Technical.

Provocative.

Understated.

Human.

But it should be something.

This becomes particularly important as AI allows brands to produce exponentially more material. Without strong editorial judgment, more content doesn’t create more brand.

It creates more beige.

One Idea. Many Expressions.

The old content strategy often looked something like this:

Write a blog post.

Post the link everywhere.

Hope.

The modern model is different.

Start with a strong idea.

Then determine how that idea should behave in different environments.

The same underlying thinking might become:

• a substantive article on your website
• a 60-second video
• a LinkedIn post
• an infographic
• an email
• a podcast conversation
• a customer case study
• an interactive tool
• a series of short social posts
• sales enablement material
• source material that AI systems can understand and reference

The important distinction is that these aren’t simply copies of one another.

Each platform has its own language, expectations and reason for existing.

Your 1,500-word article should not become an Instagram caption because someone removed 1,420 words.

AI makes this kind of intelligent repurposing considerably easier. HubSpot’s marketing research found content creation is one of marketers’ most common AI applications, with repurposing content across formats becoming a particularly useful workflow.

That’s a place where AI is genuinely transformative.

Create the thinking once.

Express it intelligently many times.

Video Is Now Part of the Basic Vocabulary

Video has also moved from “nice to have” to an expected part of the content ecosystem.

Wyzowl’s 2026 research found 91% of businesses use video as a marketing tool. Among video marketers surveyed, 82% said video delivers good ROI, 85% said it has helped generate leads and 83% said it has directly increased sales.

Short-form video remains particularly important. HubSpot’s research found it was the content format marketers most frequently identified as producing the highest ROI.

But once again, abundance changes the equation.

AI-generated video will make video production faster and cheaper.

That does not mean audiences will suddenly develop a burning desire to watch more mediocre corporate videos.

The creative standard doesn’t disappear because the production cost does.

Quite possibly the opposite.

Think Editorially, Not Algorithmically

One idea from our original piece has aged particularly well:

Every channel is its own property with its own rules of engagement.

That remains true.

But brands also need a coherent editorial worldview running across those properties.

Before deciding what to publish, ask:

What do we actually know?

What do we believe?

What can we show people that they can’t easily get somewhere else?

What questions does our audience genuinely need answered?

What stories can only we tell?

Those questions lead to dramatically better work than:

What should we post on LinkedIn Tuesday?

The calendar should follow the ideas.

Not the other way around.

The 2026 Content Marketing Mix

A modern content program typically sits across several interconnected disciplines.

Original Editorial Content
Articles, research, opinions, interviews, case studies and other material that builds genuine authority rather than simply filling a publishing schedule.

AI-Assisted Content Production
Using AI for research, development, editing, transformation, personalization and production while maintaining human editorial ownership of the underlying idea.

Video & Visual Storytelling
From short-form social video to explainers, demonstrations, interviews, branded entertainment and increasingly AI-assisted production.

Search + AI Discovery
Traditional SEO remains important, but content must also be clear, credible and distinctive enough to function in AI-driven search and answer environments.

Social Media
Not simply distributing links, but participating in the conversations and formats native to each platform.

Thought Leadership
Giving knowledgeable people inside the company an actual point of view—and occasionally allowing them to say something a committee would not have written.

Community & User-Generated Content
Customers, employees and advocates can communicate credibility in ways traditional advertising cannot.

Email & Owned Audiences
Algorithms change. Platforms change. An audience that has explicitly chosen to hear from you remains extraordinarily valuable.

Digital PR & Earned Media
Original research, strong opinions, data, expertise and genuinely interesting ideas give journalists, creators and industry voices something worth referencing.

Reputation & Conversation Management
Listening and responding remain part of publishing. Brands don’t simply broadcast anymore; audiences answer back.

Some Numbers Worth Paying Attention to

A few current statistics put the landscape into perspective:

81% of B2B marketers use generative AI tools.

But only 19% say AI is systematically incorporated into their workflows.

Only 4% report high trust in generative AI output.

91% of businesses use video for marketing.

82% of video marketers report good ROI from video.

And HubSpot’s blogging research found 65% of marketers work for companies that still maintain blogs, while 93% of those marketers consider blogging important or very important to their strategy.

So no, content marketing isn’t disappearing.

It is becoming more sophisticated.

The Competitive Advantage Is No Longer Content

There was a time when simply producing useful digital content could distinguish a company.

That advantage is disappearing.

Nearly everyone can produce content now.

Increasingly, nearly everyone can produce pretty good content.

The competitive advantage is becoming the combination of:

Original thinking + authentic expertise + distinctive storytelling + intelligent technology + consistent execution.

AI makes every piece of that equation more powerful.

But there’s an important irony here.

The more capable the machines become, the more valuable the genuinely human parts of a brand become: judgment, experience, curiosity, humor, taste and a point of view.

So use AI.

Use the hell out of it.

Just don’t let it turn your company into everyone else.

Because in a world capable of generating nearly infinite content, the brands people remember will be the ones that still have something to say.