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“The sense of curiosity for any marketer to go, how’s this working? Or how do I make this thing better, should be ingrained in us. So if you’ve got that mindset, AI is just another application for making stuff better performing, faster, outsmarting competitors.” shared Pete Markey, former CMO of TSB & Boots.

While 88% of CMOs report AI efficiency gains, the most successful teams are discovering there’s an even bigger opportunity beyond operational tasks, using AI for strategic advantage.

The 88% Efficiency Ceiling, Why Operational AI Has Limits

Most marketing teams begin their AI journey in the efficiency lane, and rightly so. They generate content faster. Create more variations. Automate repetitive tasks. These operational gains create immediate value and free up time for high-level thinking.

But here’s where it gets exciting: AI provides the opportunity to elevate creative outputs, strengthen strategies and connect deeper with your audience while transforming your processes, not just accelerating them.

As Pete explains: “If you don’t change how you operate and work, then funnily enough, nothing changes. And the same is true here.”

The teams pulling ahead are those who’ve mastered operational efficiency and are now exploring what’s possible when AI becomes a strategic partner, not just a productivity tool.

Process Automation to Outcome Innovation

“While GenAI tools can help generate content with remarkable efficiency, without the right inputs they can miss the nuance, and humanity that makes a brand connect and be recognised.” Tom Claridge, Head of Strategy, U-Studio OLIVER*

Here’s where that marketing curiosity Pete mentioned really comes into play. Strategic AI use looks fundamentally different from operational efficiency. Instead of just making current processes faster, it shifts your entire approach from outputs to outcomes.

The Evolution:

  • Output focus: Your team uses AI to produce more social posts, more campaign variations, more content at scale.
  • Outcome focus: Your team uses AI to identify which strategic themes will drive business growth before creating anything.

Here’s what strategic transformation looks like in practice:

  • Operational approach: Generate 50 social posts instead of 10.
    Strategic approach: Use AI insights to identify which 5 messages will drive actual engagement. For example, embedding the right tools, like Pencil, help predict creative performance.
  • Operational approach: Create campaign variations 10x faster.
    Strategic approach: Use AI to discover positioning gaps competitors haven’t filled.
  • Operational approach: Automate email sequences.
    Strategic approach: Use AI to predict which customer journey moments create lasting brand loyalty.

The difference is exciting: strategic AI doesn’t just speed up your existing processes, it reveals entirely new ways to create value and connect with your audience.

The Strategic Imperative

The AI revolution in marketing isn’t about doing more things; it’s about doing better things. The most successful marketing teams of tomorrow won’t be distinguished by how many AI tools they use, but by how fundamentally they’ve reimagined their approach to value creation.

The journey from operational to strategic AI is a continuous evolution. Start by identifying one high-impact area where AI could transform outcomes, not just outputs. Experiment with new ways of working. And most importantly, give your team permission to question everything about what’s possible.

At OLIVER, we’ve helped teams navigate this exact transformation. Ready to make the shift? Our Marketing AI Efficiency Framework shows you how to identify your highest-impact opportunities and build strategic AI capabilities.

The question is no longer whether your team will adopt AI, but whether you’ll use it to merely improve your current processes or completely reimagine your future possibilities.
Get the Framework

*Little Black Book Editorial: What It Takes To Build Brand Personality Into AI Agents

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