Average is approaching
AI: the New Gold Rush
Reflections from the GLG CMO Leadership Summit
I recently had the opportunity to spend time with a group of global CMOs at a leadership summit hosted by GLG. The room included marketing leaders from some of the world’s largest brands across the F200.
The conversations were candid, strategic, and refreshingly honest. And there was strong representation from companies navigating the same questions many of us are facing: “How do we move faster with AI without losing the distinctiveness of our brands?”
Two presentations stood out in particular.
Ian Beur from Sooth shared an insightful perspective on “Your Data Is Lying,” to a room packed with senior marketing leaders. The premise was simple: the data infrastructure our industry relies on is producing hallucinations, confident answers built on modeled assumptions that nobody is pressure-testing.
And fellow Aussie, Karen Stanton delivered a powerful talk on how building a modern brand requires using the senses, especially flavors and fragrances. The feeling you get when you walk into a hotel, and the warmth embraces you!
But the most valuable part of the summit was not the presentations. It was the workshops and breakouts. The format allowed CMOs and CCOs to step away from theory and start assembling real frameworks for what comes next. I captured a number of the themes on the whiteboard during our session.
The Mood: Cautious Optimism
Across the room, the mood was not fear. It was optimism; but cautious optimism. AI is clearly going to reshape marketing, creativity, and operations. But most leaders are still working out how to apply it responsibly and effectively.
The principles that emerged were surprisingly consistent:
Embrace AI broadly, not just in isolated tools
Maintain cautious optimism
Recognize this moment as a gold rush
Avoid tool overload
Question legacy processes
Build security and governance from the start
Implement guided control
Most importantly: fight the sameness that AI will bring
AI Is the 1849 Gold Rush
During one session, I shared an analogy that resonated with the room. AI today feels a lot like San Francisco in 1849.
Thousands of people are rushing toward the opportunity. Tools are launching daily. Everyone believes there is gold in the hills. But here is the truth about gold rushes:
Some people get rich.
Many do not.
And at the beginning, it is nearly impossible to tell who will win.
History tells us something interesting though. Most of the lasting fortunes from the gold rush did not come from mining. They came from building the infrastructure around it.
Levi Strauss sold durable clothing.
Samuel Brannan sold supplies.
Banks financed the expansion.
The lesson for marketing leaders is clear. The winners in AI will not necessarily be the companies that experiment the most. They will be the companies that build the right operating systems around it.
The Danger: AI Can Make You Average
During my keynote, I talked about a risk that doesn’t get enough attention. AI does not just accelerate creativity. It also accelerates convergence.
When everyone trains on similar data and uses similar tools, the outputs begin to look the same. You can already see it happening:
Brand imagery starts to converge.
Language patterns become similar.
Campaign structures begin to repeat.
AI is incredible at producing competent work at scale. But competence is not the same as distinctiveness. And distinctiveness is where brand value lives.
The companies that thrive in this new era will understand something fundamental:
AI can generate the average.
Humans must create the exceptional.
The Path Forward
The most productive conversations at the summit centered on how to operationalize AI inside organizations. Not experimentation. Operationalization. A few themes emerged repeatedly:
1. Focus matters.
Thousands of AI tools are emerging. Only a handful will actually drive enterprise advantage.
2. Governance must come early.
Security, brand controls, and data policies cannot be retrofitted later.
3. Process redesign is required.
AI is not just automation. It requires rethinking how work actually happens.
4. Creativity becomes more important, not less.
As AI increases content supply, brand differentiation becomes the competitive advantage.
The Real Opportunity
If you step back, this moment is extraordinary for marketing leaders. We are witnessing the biggest shift in creative production, marketing systems, and brand storytelling in decades.
But the challenge is not technology. The challenge is leadership.
The companies that succeed will:
embrace AI
build the right systems around it
protect brand distinctiveness
and refuse to optimize themselves into sameness.
Because in a world where machines can generate infinite content…
....original thinking becomes the scarcest asset in business.
And that is where great brands will continue to win.
