AI Made Your Marketing Faster, Cheaper, and Identical to Everyone Else's
Global advertising spend crossed $1 trillion in 2026. More money is being spent on marketing than at any point in human history.
And it's working worse than ever.
Shutterstock's 2025 Creative Impact Report found that while ad spend rose 33% since 2023, marketing impact on purchase intent fell nearly 20% over the same period. System1's ad testing data shows fewer than 20% of ads now score above the threshold for measurable business impact. The industry is spending more, producing more, and achieving less.The common thread? AI.
Not because AI is bad at marketing. Because AI is equally good at marketing for everyone. And when every business's output converges to the same polished, competent average, nobody stands out.
The Great Flattening Is Already Measurable
Most discussions about AI in marketing focus on what it enables. Fewer examine what it erases.
An academic study published in July 2025 (Liu, Wang & Yang, SSRN) found the answer in an unexpected natural experiment: Italy's temporary ban on ChatGPT. During the ban, restaurants in Milan were forced to write their own marketing content. The result? Content diversity increased by 15% in lexical variety, 12% in syntactic variety, and consumer engagement rose 3.5%.
When the ban lifted and AI returned, diversity dropped. Engagement dropped with it.
This isn't a one-off finding. Barron's and AlphaSense tracked corporate language patterns and discovered the phrase "not just X, it's Y" appeared in 73 corporate documents in a single quarter after barely registering across the previous two decades. A meta-analysis of 130+ studies concluded that while AI boosts individual productivity, it "subtly shapes and homogenizes human expression, thought patterns, and group creativity."
Practitioners see it too. 86% of marketers report seeing AI outputs that resemble their competitors' content. And they're right to worry: Canva's 2026 survey found 70% of consumers say AI-generated ads feel like they're "missing something." Klaviyo's 2026 consumer data is more damning: when consumers notice AI-generated content in brand marketing, they are 4x more likely to trust the brand less than more.
Rory Sutherland, Vice Chairman of Ogilvy, has a rule for this: "It doesn't pay to be logical if everyone else is being logical." AI is the most logical tool ever built. It will always give you the statistically average answer. Which is exactly the same answer your competitor's AI is generating right now.
AI Cannot Be a Competitive Moat. MIT Proved It.
In May 2025, Wingate, Burns, and Barney published a paper in MIT Sloan Management Review that should be required reading for any business banking on AI as a competitive advantage:
"If everyone has access to the same technology, even if it is new and valuable, it may move the market as a whole but will not uniquely advantage anyone. Far from being a source of differentiation, artificial intelligence will be a source of homogenization."
This isn't theoretical hand-wringing. A B2B study found 84% of respondents stated their firms had no technical advantage, noting "all competitors have the same technology."
The competitive edge, they argue, shifts to what they call "residual heterogeneity": the ability to go beyond what is accessible to everyone and create something unique. In marketing terms, this has a well-researched name. Byron Sharp and Jenni Romaniuk at the Ehrenberg-Bass Institute call it distinctive brand assets.
Romaniuk defines distinctive brand assets as the non-name elements (colours, logos, taglines, tonal qualities) that uniquely trigger a brand in people's minds. Her key insight for the AI era: "You can't rush the building of distinctive assets." They're built through years of consistent use. And they are exactly the thing AI cannot generate from a prompt.
We've written before about why distinctive brands win when AI floods the market with generic content. The MIT Sloan research confirms the economics behind it: when a technology is universally available, it stops being a competitive advantage and becomes table stakes.
The Execution Trap: You're Automating the Wrong 80%
Here's where most businesses get stuck. They use AI for the part of marketing that matters least and ignore the part that matters most.
Motion's 2026 Creative Benchmarks (based on $1.3 billion in spend across 550,000+ ads and 6,000 advertisers) found that roughly half of all Meta ads receive no meaningful spend, while approximately 6% capture most of the budget as accounts scale. Their analysis: "When everyone could produce more ads faster, the only real advantage left was knowing the right kinds of ads to make."The problem shifted from production to judgement. And most businesses didn't notice the shift.
This mirrors what software engineering teams are discovering through what the tech media company Every calls compound engineering: a development process where 80% of the time goes into planning and reviewing, and only 20% into actual building. Their most productive engineers don't write more code. They make better decisions about what to build.
The marketing parallel is exact. Les Binet and Peter Field's analysis of the IPA Effectiveness Databank shows that campaigns with high-quality creative produce large business effects up to 12 times more often than mediocre campaigns, for the same media spend. Creativity doesn't add 20% more ROI. It multiplies ROI by 10-20x.
| How businesses use AI | Time spent | Impact on growth |
|---|---|---|
| Generating ad copy variants | High | Low (converges to average) |
| Producing more content | High | Low (floods saturated channels) |
| Analysing what's actually working | Low | High (compounds over time) |
| Developing distinctive brand elements | Low | High (competitors can't copy this) |
| Strategic planning and positioning | Low | High (10-20x creativity multiplier) |
Most businesses have this inverted. They spend 80% of their AI time on execution and almost nothing on the strategic work that determines whether any of it lands. As we've explored in why AI is optimising marketing into a corner, optimising execution without improving strategy just means arriving at the wrong destination faster.
The Taste Gap: Marketing's New Competitive Divide
If execution is commoditised and strategy is what separates winners from noise, what do we call the skill that makes the difference?
Digiday called it taste: "In a world where the tools are everywhere and the output is indistinguishable, taste is the last thing that actually compounds." They define it as "the judgement to know what's good and the authority to say so." MartechCube went further: "Human distinctiveness is the only competitive advantage left as we enter 2026."Canva's 2026 survey of 1,415 marketing leaders asked what AI cannot replicate. The top answers tell you everything:
| Capability AI can't replicate | % of marketing leaders |
|---|---|
| Empathy and emotional intelligence | 42% |
| Human imperfection that sparks originality | 41% |
| Brand intuition and creative judgement | 41% |
Notice what's on that list. Not "writing headlines." Not "generating images." Not any form of execution. The irreplaceable capabilities are all forms of judgement: knowing what feels right for this brand, this audience, this moment.
This connects to what System1's Orlando Wood has been arguing about the creativity crisis. He found that contemporary advertising has become "left-brain: abstract, textual, conceptual, low in sensory input and devoid of characters." His observation: this is exactly the kind of creativity AI finds easiest to generate. It is also the least effective on the human brain, which is wired to remember stories, faces, places, and voices.
At the 2026 Super Bowl, when AI-themed messaging dominated the ad breaks, System1 found that consumers' favourites were heartfelt and human. The ads with the highest brand recognition were the ones that felt least like an algorithm wrote them.
The market is sending a signal. Your best ad didn't stop working because it decayed. It drowned in a flood of AI-generated alternatives that made everything feel unremarkable.
What Compounds Is Not Content. It's Learning.
Every's compound engineering framework offers a way out of the execution trap. Their core insight: in a system where AI handles execution, the competitive advantage belongs to whoever builds the best learning loop.
In software, this means documenting every bug and every problem-solving insight so that AI agents get smarter with each cycle. In marketing, the same principle applies:
What most businesses do: Use AI to generate 50 ad variants. Pick the one that "looks good." Repeat next month with no memory of what worked or why. What compounds: Use AI to analyse which messages, formats, and angles drove actual business results. Document the patterns. Feed them back into the system. Each cycle produces better output because it builds on validated learning, not guesswork.The difference is not the tool. It's the feedback loop.
Byron Sharp's research reinforces why this matters. Growth comes from mental availability: the propensity of your brand to be noticed or come to mind when someone enters a buying situation. Mental availability is built through consistent, distinctive, broadly-reaching marketing over time. Not through producing more content, but through producing the right content, consistently, across every touchpoint.
This is what Romaniuk means by "you can't rush distinctive assets." And it's why the businesses that win the AI marketing era aren't the ones with the most sophisticated tools. They're the ones that know what their brand stands for, what their customers respond to, and how to keep learning from every campaign. That knowledge compounds. A ChatGPT subscription does not.
What This Means for Your Business
When 87% of marketers use the same AI tools, and 74% of new web pages contain AI-generated content, execution is no longer a differentiator. Here's what is.
Invest in knowing what works, not in producing more. For every hour you spend using AI to create content, spend two hours analysing what your existing content actually achieved. Which ads drove phone calls? Which emails got replies? Which landing pages converted? Your marketing dashboard might be lying to you, but the raw conversion data doesn't. Build distinctive brand assets that AI can't replicate overnight. Your colour palette. Your tone of voice. Your visual style. Your way of explaining your service. These are the things that make a customer recognise your business before they read a word. They take years to build. They compound every month. And they are the one thing your competitor's AI cannot generate from a prompt. Use AI for analysis, not just generation. The highest-value application of AI in marketing isn't writing your ads. It's reading your data, spotting patterns you'd miss, and testing hypotheses about why certain messages resonate. The judgement is yours. The computational grunt work is the AI's. Accept that taste is a skill, not a talent. Taste in marketing means knowing what your customers value, what your brand should sound like, and which opportunities to say no to. It's developed through experience, feedback, and deliberate attention to results. It can be learned. But it can't be prompted.The businesses that thrive in the AI era won't be the ones with the best AI. Everyone has the best AI. They'll be the ones with the best judgement about what to do with it.
Further Reading
- Why AI Will Not Provide Sustainable Competitive Advantage - Wingate, Burns & Barney's MIT Sloan paper on AI as homogenisation, not differentiation
- Generative AI and Content Homogenization - The Italy ChatGPT ban study showing AI reduces content diversity and engagement
- Creative Impact in Crisis - Shutterstock's data on the growing gap between spend and impact
- In the Age of AI, Taste Is the New Competitive Advantage - Digiday on judgement as the last compounding asset
- 2026 Creative Benchmarks - Motion's analysis of $1.3B in Meta ad spend showing the AI divide
Dream Outcome is an Australian digital marketing agency helping SMEs grow through Google Ads, Facebook Ads, and Email Marketing.