How AI is Re-Wiring Creativity: Lessons from WPP’s Reinvention

Start From First Principles: What Do Agencies Actually Do?

Strip away the jargon and the glitter of Cannes, and advertising boils down to a simple invariant:

Agencies connect brands to consumers in ways that drive growth.

Everything else, media buying, CRM, influencer campaigns, production, is just a different lever to pull. The real problem is an optimisation puzzle:

1. Where should brands invest?
2. What content should flow through those channels?
3. How do we know what works?

AI thrives on exactly this type of ecosystem problem: multiple competing choices, large data flows, and constant feedback.

Why Old Workflows Broke Down

Traditionally, marketing was a relay race:

1. Research team → delivers a report
2. Creative team → makes a concept
3. Production → shoots the ad
4. CRM team → adapts it
5. Media team → runs it

Every handover added cost, time, and information loss.

Causal lever: The sequential pipeline fragmented decision-making. No one could optimise the whole system, only their slice.

AI Collapses the Pipeline Into One Loop

With AI platforms like WPP Open, the workflow compresses into a single loop:

1. Define the business problem
2. Encode consumer knowledge into AI agents
3. Generate and test ideas
4. Adapt for channels
5. Launch and get feedback

Effect: The work isn’t just faster; it’s systemically different. What used to be six agencies in series is now one multidisciplinary team, using the same tools, working in parallel.

Smaller Teams, M-Shaped People

Pretorius describes the future workforce as M-shaped:

1. Breadth across marketing disciplines
2. Depth in multiple specialisations (media, AI, creative, product)

Why M and not T? Because one deep skill is no longer enough, AI has amplified productivity so much that people can afford to go deep in several areas.

Causal lever: Productivity gains from AI let individuals span more domains → demand shifts to multi-specialists.

Creativity as Vector Embeddings

The wildest shift Pretorius highlights: creativity itself is becoming computational.

Take WPP’s Creative Ideation Canvas. It lets strategists throw in a persona, a sound file, an image, and a script. The system recombines them into a storyboard, interpreting style, tone, and context.

Under the hood? Just vector embeddings, mathematical representations of media.

First principle: If ideas can be embedded, then creativity is just the smart recombination of embeddings.

Implication: The boundary between “strategy” and “production” blurs. Creativity is now both human taste and algorithmic assembly.

Leadership Lessons From the Trenches

Pretorius likens transformation to warfare:

1. Propaganda: Repeat a clear, simple message endlessly (until you bore yourself).
2. Trench warfare: Block, tackle, and grind through daily adoption.
3. Show, don’t tell: Demo tools live, don’t just theorise.
4. Give hope: People create best when they feel safe and optimistic.

Causal levers here are psychological, not technical: clarity, repetition, and emotional safety.

The Big Picture: From 450 Agencies to 5 Platforms

WPP simplified from 415 fragmented agencies to 5 global platforms. Why? Because AI rewards integration, not silos.

1. One platform
2. One product organisation
3. One technology stack

Effect: WPP can now charge not just for time spent (old T&M model) but for outputs and outcomes. When you control the whole pipeline, you can price on results.

What It Means for Entrepreneurs

Here’s the causal chain every founder should internalise:

1. Fragmented systems → inefficiency
2. AI conflates workflows → faster, cheaper, higher quality outputs
3. Smaller expert teams + M-shaped talent → competitive advantage
4. Outcome-based pricing → agencies (and startups) can capture more value
5. Creativity = embeddings → the frontier shifts from execution to taste and judgment

Takeaway

AI isn’t making advertising “push button, make ad.”

It’s collapsing silos, amplifying talent, and turning creativity into a recombination game.

For entrepreneurs, the real opportunity isn’t to replace humans, but to build AI-native workflows where strategy, creativity, and execution flow as one.

That’s how you move mountains with smaller, sharper teams.