AI is moving fast. And while tools grab the headlines, it’s how we use them and how we organise around them that will separate the leaders from the laggards.

Let’s be clear: you don’t need to become a machine learning expert. But you do need to understand how AI can shift how your team works, what you prioritise, and where you place your bets.

• 57% of UK B2B marketers now rank AI understanding as the most important skill for future success – above data analytics and collaboration (Marketing Week).

• McKinsey found organisations with AI-literate marketing leaders are significantly more likely to see ROI from their investments.

• And the EU AI Act puts responsibility firmly on business users, not just developers, to ensure AI is used safely, ethically, and effectively.

That means marketing leadership must understand how, where and why to adopt these tools and scale them across their marketing operations.

The role of marketing leadership

We need to build a growth culture focused on establishing the value of the tools available to us or that we want to test. We need to ask better questions, set smarter, measurable expectations, and create space for our teams to experiment without fear of failure.

Here’s what that looks like in practice:

• Working within test-and-learn frameworks grounded in clear hypotheses

• Equipping teams with the training and guardrails to operate and maintain tools confidently and correctly

• Building prompting best practice

• Understanding the biases and blind spots in models

• Creating an AI adoption roadmap tied to your commercial priorities

• And developing the instinct to spot vendor nonsense a mile off

But here’s the catch: AI only delivers value if your ways of working are actually built for it.

Agile ways of working are crucial

It’s hard to get value from AI if your processes are broken.

If your team is stuck in long planning cycles, siloed roles and perfection paralysis, AI won’t help you, it’ll confuse the hell out of them!

Agile marketing unlocks the value. It gives teams the frameworks needed to successfully test and learn. It’s data driven and customer centric, so it can help leaders spot what’s working and scale it quickly. It reduces risk while speeding up results.

Being agile allows you to use:

• Short sprints to test value

• Early indicators of success (or failure)

• Data to scale what works, fast

• The confidence to stop what doesn’t.

It’s not about moving faster. It’s about moving smarter and proving value as you go.

A brighter approach

At Bright, we believe this is another challenge for marketing leaders and the importance of reshaping how we work so we can lead confidently in an AI-enabled world

We’re not AI evangelists. We’re practical optimists. We help teams:

• Cut through the hype and find where AI can genuinely add value to their marketing

• Build business cases that stand up in the boardroom

• Use agile ways of working to integrate new tools, data and tech in a systematic and scalable way.

Because if we don’t, we risk falling into the same trap that’s caught us many before: investing in the latest tech, without the strategy, mindset or muscle to show it adds value.