The fluorescent hum of another vendor demo, another AI tool promising to shave seconds off campaign setup, flickered across my tired eyes.
Look, I’ve been wading through Silicon Valley hype cycles for two decades. And here’s the thing: the shiny new AI toys are here, and they’re good at making things faster. Like, ridiculously faster. Every marketing team is buzzing about it. But here’s where my BS detector starts pinging: speed isn’t the same as impact. We’re so busy optimizing for ‘more, faster, cheaper’ that we’re forgetting what actually moves the needle. The real danger isn’t that AI won’t work; it’s that it will work too well, for everyone.
This whole situation reminds me of the Red Queen hypothesis from Lewis Carroll’s Through the Looking-Glass. Alice and the Queen are running, legs pumping, but they’re just standing still. Evolutionary biologists even nabbed the name for a theory: in any arms race, you have to keep evolving just to tread water. That’s exactly what’s happening in marketing tech right now. Everyone adopts the same AI tools, everyone optimizes for the same efficiencies, and poof! — competitive advantage evaporates. Markets just drift toward commoditization.
The Efficiency Trap: Running Without Moving
Many companies are framing this AI moment as an efficiency play. And sure, AI is a godsend for churning out more content, analyzing data faster, and generally making the gears grind smoother. We can go faster. But here’s the kicker: so can every single one of your competitors. You’re all buying the same AI-powered hammers, so you’re all building slightly faster versions of the same houses. The Red Queen effect, plain and simple. You sprint, they sprint, and you’re all still standing in the same spot, just a little more out of breath.
The problem with a laser focus on efficiency is that it’s a symmetric gain. It’s like a tidal wave – it lifts all boats equally. If your grand AI strategy is “we’ll use ChatGPT and Gemini more,” congratulations. So will everyone else. You’ll find yourself locked in a commoditization spiral, with shrinking margins and the only winners being the cloud providers you’re paying by the token.
Now, to ignore these technologies entirely would be sheer lunacy. But if your strategy stops at ‘being more efficient,’ buckle up. You’re heading for a commodity market where differentiation is a distant memory.
Beyond Speed: Finding Your Asymmetric Edge
So, what’s the antidote? You’ve got to find a way to create an asymmetric impact. This means you possess or know something your competitors simply can’t replicate. It’s not about outrunning them on the same track; it’s about building your own track, or even better, making their track obsolete. Instead of obsessing over being the most efficient widget seller, ask yourself: what makes widgets irrelevant? And how can I accelerate that future?
Think about disruption not as adding something new, but as understanding loss aversion in reverse. Psychologically, people hate losing things more than they like gaining them. But I find a more useful reframing: If I saw this new ‘widget’ on a shelf at a thrift store, would I actually buy it? This shifts the focus from ‘do I want to keep this?’ to ‘would I actively choose to acquire this again?’ It forces a brutally honest assessment of true value.
The Hard Questions for True Marketing Evolution
The questions that truly matter for the next wave of marketing growth are less about shaving milliseconds off a process and more about fundamental business evolution. Every company needs to be wrestling with these: If I were starting this business from scratch today, with all the current tech and market dynamics, would I even build it this way? And if the answer is yes, how would I build it, and what’s radically different now that wasn’t possible a decade ago?
We should be focusing less on running the existing business more efficiently and more on evolving the business with the agility of a startup. Because if you’re not doing it, you can bet your bottom dollar someone else is. And they’re probably using AI to do it faster.
The Red Queen hypothesis is an excellent metaphor for what’s happening in our industry right now. It suggests that when everyone adopts the same tools and optimizes for the same efficiencies, competitive advantage erodes and markets drift toward commoditization.
Those who cling to efficiency alone will end up like the Red Queen, running furiously but going nowhere. The ones who dare to ask and answer the harder questions about genuine disruption? They’re the ones charting a course for asymmetric impact and real evolution. The rest? They’re just optimizing their own obsolescence.
What About Those AI Tools, Though?
Okay, so if efficiency is the trap, what do we do with all these powerful AI tools flooding the market? It’s not about abandoning them. It’s about using them as a foundation, not the entire building. Think of AI as the ultimate assistant for your strategic thinking, not a replacement for it. Use it to automate the drudgery, yes, but then use the reclaimed time and insights to dig into those harder questions about disruption and unique value. The tools are there to help you see the forest and the trees, not just to count the leaves faster.
🧬 Related Insights
- Read more: Omnicom Creative Chief Exits Post-IPG Deal | Analysis
- Read more: Universal Ads & Koddi: CTV’s Commerce Integration Explained
Frequently Asked Questions
What is marketing commoditization? Marketing commoditization occurs when products or services become indistinguishable from competitors due to similar features, benefits, and pricing, often driven by widespread adoption of similar technologies and strategies, leading to reduced differentiation and squeezed profit margins.
Will AI make marketing jobs obsolete? While AI will undoubtedly automate many repetitive tasks, it’s more likely to reshape marketing roles than eliminate them entirely. Jobs requiring strategic thinking, creativity, complex problem-solving, and the ability to interpret and act on AI-generated insights will become even more critical. The focus will shift from execution to strategy and high-level oversight.
How can a small business compete with large companies using advanced AI? Small businesses can compete by focusing on niche markets, personalized customer experiences, and building strong community relationships – areas where AI can be a powerful enabler but not a complete substitute for human touch. They can also use AI tools for efficiency to punch above their weight, but their core strategy should lie in unique value propositions and agility, not just matching big players’ tech stacks.
