AI In Marketing Isn’t About Speed. It’s About Scope.

Let’s be honest, no marketing conference in 2026 is complete without a few AI talks.

Some are a bit “look what this tool can do” salesy. Others actually change how you think about your work.

The two AI sessions at The Marketing Meetup Conference definitely fell into the second camp.

And the mindset change for me?

AI isn’t really about speed.

It’s about scope.

AI doesn’t make you faster – It makes you more capable

One of the most useful reframes I heard was this:

AI doesn’t just help you do the same work quicker.
It helps you do work you probably wouldn’t have done at all.

That really landed.

Because yes, you can use AI to speed things up. But the real opportunity is using it to expand what’s possible, especially if you’re in a lean team (or, let’s be honest, just constantly short on time).

A great example of this was from Chima Mmeje on how AI is being used across a full content ecosystem:

Creating webinars

Writing email marketing

Developing thought leadership

Editing guest content

Analysing research data

Not as isolated tasks—but as part of a joined-up system.

Start with one strong idea and stretch it as far as it will go

One of my favourite takeaways was how webinars are being used as a content engine.

Instead of constantly chasing new ideas, the focus is on making one thing do more.

So a single webinar becomes:

A blog post

A series of short-form videos

Social content

A downloadable lead magnet

An email nurture sequence.

It’s simple. But it’s incredibly effective. And AI plays a really useful role here; not by replacing the thinking, but by helping you repurpose, reshape, and scale that core idea without starting from scratch every time.

The quality of the output depends on what you put in

This came up again and again.

AI is only as good as the information you give it.

If you give it vague prompts, you’ll get vague results.
If you give it detailed, thoughtful input—you’ll get something you can actually use.

A practical example I loved was around writing landing page copy.

Instead of asking AI to “write a webinar landing page”, the approach was:

Give it a strong example of a landing page you like

Explain what specifically works (tone, structure, flow)

Provide clear context (audience, topic, goals)

Set constraints (style, sections, format)

Then iterate.

Tweak. Refine. Push it further.

The three-step framework that stuck with me:

1. Give it a model (a good example)

2. Give it constraints (tone, structure, audience)

3. Give feedback (until it’s actually usable)

It sounds obvious. But most people skip at least one of these.

Watching AI solve real marketing problems live…

The second session with the brilliant (and brave) Heather Murray took a more hands-on approach, solving real marketing problems in real time.

The demo covered things like:

Writing LinkedIn posts

Generating new ideas

Researching and building a pitch deck.

And the big takeaway?

Again, it all comes back to input.

The more context, detail, and direction you give AI, the better it performs.

A few practical tips I’ve taken away:

If you’re writing copy, try different tools (for example, Claude is better suited to copywriting than Chat GPT).

Use deep research modes to go beyond surface-level answers.

Use tools like Gamma to quickly turn ideas (from a Letterly brain dump for example) into structured presentations.

None of this replaces thinking. But it massively reduces the friction between idea and execution.

So, how should we actually be using AI in marketing?

Here’s where I’ve landed (for now):

1. Use it to expand, not just accelerate
Don’t just ask “how can this save me time?”
Ask “what could I now do that I couldn’t do before?”

2. Build systems, not one-offs
The real value comes when AI is part of a repeatable process (like turning a webinar into 10+ assets).

3. Be specific (painfully specific)
The more detail you give, the better the output. Context is everything.

4. Stay involved
AI can get you 70–80% of the way there. The last 20%—the bit that makes it good—still needs you.

5. Don’t outsource your thinking
This is the big one. AI is a tool, not a strategy.

View from The Den

AI is raising the bar.

Because the people who use it well won’t just be faster, they’ll be able to do more, test more, create more, and connect more dots than ever before.

And the ones who don’t? They’ll still be doing things the hard way.

The opportunity isn’t to hand everything over to AI. And it certainly isn’t to replace your creatives or your strategist. Human input remains essential for distinctiveness.

It’s to use it to do the kind of work that actually moves things forward.