Brand Is the Last Moat in an AI Commodity Market

A strange thing happens when a technology gets easier to use. At first, everyone thinks the winners will be the people with the best access to the technology. A few years later, that assumption starts looking childish. The winners turn out to be the people who understand how the technology affects human behaviour. If you look at history, you'll realise that Railroads not only moved freight but also shaped how distance felt. Television not only transmitted pictures but also changed aspirations, status, and domestic rhythms. AI is doing something similar to products. It is making creation cheaper, imitation faster, and differentiation harder to defend, which is exactly why brand is becoming more important, and not less.

The common belief in boardrooms right now is simple: If AI can help write code, generate design, accelerate research, reduce support load, and compress product development cycles, then the best product should win faster. This sounds reasonable until you look at what actually happens in markets flooded with similar products. Features spread. Interfaces converge. Pricing gets squeezed. Messaging starts sounding like it was written by cousins raised in the same suburb. The category fills with what I would call polished sameness. Everyone looks competent yet very few feel distinct.

Andreessen Horowitz put this tension plainly in a 2025 piece on enterprise AI. After ChatGPT, a common refrain was that all AI software would be commoditised because it was little more than a wrapper. Their update says the landscape evolved, yet the core issue remained familiar: flashy demos are easy, substantive products are hard. That sentence matters because it explains why the early advantage of building fast rarely stays exclusive for long. McKinsey’s 2025 State of AI survey points to a similar reality. AI use is spreading, yet scaled value remains concentrated among organisations with stronger strategy, operating models, data practices, and leadership commitment. In other words, access to AI is widening, while durable advantage remains selective. (Andreessen Horowitz)

This is where brand enters the conversation, and this is also where many leaders become oddly uncomfortable. They are happy to invest in product, distribution, and automation because those feel tangible. Brand feels softer to them, too atmospheric, too difficult to pin down in a spreadsheet for the next review meeting. That instinct made some sense in eras when scarcity was a matter of supply. It makes far less sense in an era where abundance belongs to content, features, and even software behaviour. When the market is saturated with competent alternatives, a brand becomes the shortcut the human mind uses to reduce effort.

Edelman’s 2025 special report on brand trust found that 80% of people trust the brands they use, and that this level of trust exceeds trust in business, media, government, NGOs, and even employers among employees. The same report argues that people now look to brands for personal stability, calm, confidence, and practical hope. This is a profound shift. Price still matters. Quality still matters. Yet trust is entering the purchase equation as a force that reduces hesitation. Brand stops being a decoration and becomes decision infrastructure. (Edelman)

Many executives still miss this because they confuse brand with surface aesthetics. They think brand is the logo, the colour palette, the campaign line, the ad film, the sponsored panel, and the carefully lit founder shoot. That is branding. Brand is something else. Brand is the memory that remains in the buyer’s mind when product pages start to look interchangeable. Brand is the answer to a simple internal question a customer rarely says aloud: If all these options seem good enough, which one feels safer, smarter, sharper, more aligned with who I think I am?

History offers useful clues here. Coca-Cola survived generations of formula debates, media shifts, and distribution battles because it sold familiarity and emotional continuity. Nike built a portable identity around footwear demand. Apple turned design discipline into a trust signal strong enough that customers routinely pay a premium before they fully understand the feature list. None of these companies became powerful because their products lacked substance. They became powerful because substance alone rarely travels far without meaning attached to it.

The AI age intensifies this. McKinsey’s older estimate that generative AI could add between $2.6 trillion and $4.4 trillion annually to the global economy remains widely cited because it captures the scale of the shift. Yet large economic potential has a hidden consequence. It attracts crowds. Crowds create categories. Categories create clones. Clones create commodity pressure. That sequence is already visible. A product launches, screenshots spread, adjacent teams replicate the UX, AI closes the design gap, copy starts sounding suspiciously familiar, and what felt novel in January feels ordinary by June. (McKinsey & Company)

This is why product-led growth, by itself, starts to weaken in AI-heavy markets. Product can get you discovered. The product can get you a trial. The product can even give you delight. But once the category matures, product advantages shrink in half-life. A brand carries the memory of why you mattered in the first place. It helps the market choose you before the feature spreadsheet opens, and it helps the customer forgive small misses after purchase. Edelman’s 2023 brand trust report made a useful point here, too. The purchase funnel no longer reflects the modern relationship between brands and people because purchase is often the beginning, with attraction and loyalty deepening afterwards through ongoing engagement and brand action. That is another way of saying brand compounds beyond conversion. (Edelman)

There is also a budget angle that smart leaders ignore at their own risk. Gartner’s 2025 CMO Spend Survey says marketing budgets have flatlined at 7.7% of company revenue, the same level as 2024, while CMOs continue to face pressure to do more with less. In that environment, many firms rush toward AI for productivity gains. This is logical. It is also dangerous when interpreted lazily. If tighter budgets push companies to flood the market with cheaper, faster, AI-assisted content, then the market fills with more clutter and less distinction. Efficiency helps the firm produce. It does not guarantee the firm will matter. Brand matters even more under budget pressure because it improves the return on every message, every launch, every sales conversation, every hiring pitch. (Gartner)

I sometimes think the easiest way to understand this is by looking at a supermarket shelf. Imagine ten jars with nearly identical ingredients and similar pricing. One features a familiar story, a clear promise, maybe even a feeling inherited from past experience. The other 9 are competent strangers. Most buyers will call this a rational purchase, then reach for the familiar one. Human beings do this everywhere. In software. In hiring. In media. In politics. Trust is a labour-saving device for the mind.

This is also why leaders who say, “AI will help us do marketing without marketers,” usually reveal that they never understood marketing in the first place. AI can draft copy. It can test variants. It can summarize voice-of-customer data. It can speed up asset production. It can even simulate strategic language. Yet it cannot independently decide what place your company should occupy in a customer’s memory. It cannot choose which trade-off will make your brand sharper. It cannot protect coherence across product, founder behaviour, pricing, customer support, and public story without human judgment. The companies that treat AI as a substitute for brand thinking will learn a rough lesson. They will produce faster, cheaper irrelevance.

The real moat, then, is not awareness alone. It is something deeper. I would call it Perception Equity. It is the accumulated advantage created when people know who you are, what you stand for, what they can expect from you, and why choosing you says something useful about them. Perception Equity grows slowly, then starts acting like leverage. It lowers acquisition friction. It improves retention. It buys forgiveness. It increases pricing power. It attracts talent. It sharpens partnerships. It turns communication from explanation into reinforcement.

So what should companies do in an AI commodity market?

They should stop treating their brand as a campaign output and start treating it as a strategic operating system. They should define one or two beliefs they want associated with their name and repeat them until the market can repeat them back. They should align product behaviour with brand promise so that the story survives contact with reality. They should use AI generously in production and cautiously in positioning. They should ask a harder question than “How fast can we generate?” They should ask, “What will still feel distinct when everyone else can generate too?”

That is the whole game now.

As AI keeps compressing the cost of building, the premium shifts elsewhere. It shifts to judgment, trust, coherence, memory, and meaning. It shifts, in other words, to THE brand.

And that is why brand is the last moat in an AI commodity market.