E-commerce risk 2026: how AI exploits brand success

AI now exploits a brand’s success

In e-commerce, growth has long been a good sign for a brand. It meant more customers and bigger markets.

In 2026, that formula no longer holds.

A brand’s success is no longer just the result of growth. It’s also where new risks start. Counterfeits, brand impersonation and copied content existed before, but generative AI has changed everything. Threats that could once be kept under some control are now created and spread in volume, in very little time.

Crucially, these threats aren’t random. The faster a brand grows and the more attention it gets, the sooner and harder it is targeted. In today’s market, success itself is what draws the attack.

The AI tax: the more you grow, the more you pay

The concept that explains this is the AI tax.

What is the AI tax? Generative AI gives counterfeiters and impersonators the ability to create content, spread it and disguise themselves, all at once. As a result, brands keep paying costs that have nothing to do with growth, out of their revenue and marketing investment.

Brands invest in marketing and new channels to grow. But not all the demand they create reaches their official channels. Some goes to counterfeits, some to impersonator channels, and it’s lost before it turns into revenue.

This isn’t a one-off. It happens again and again, and the longer growth continues, the more this invisible cost adds up.

Real data (see the 2026 State of Brand Integrity Report) makes this clearer:

89% of brands have experienced AI-driven threats
78% estimate losses of 5% or more of revenue
46% feel they are losing 10% or more of revenue

The AI tax is no longer just an idea. It’s a real cost eating into how brands perform.

How the AI tax affects e-commerce revenue

The AI tax isn’t just a counterfeit problem. It affects the entire return on what a brand invests:

Lower conversion for the same marketing effort
Price distortion across channels
Lost revenue as demand is siphoned off
Damage to brand trust and the customer experience

What matters most is that these losses are hard to see. Each incident looks small, but together they add up and keep dragging down the efficiency of growth. The more a brand grows, the more it ends up paying.

Why brands always seem to respond too late

Many brands already deal with counterfeits and impersonation. They monitor, report problems when they find them, and enforce.

Yet the problems keep coming back. The reason is simple: today’s response only kicks in after a problem has occurred.

With AI, threats are created and spread much faster. Content is generated automatically, impersonator accounts appear instantly, and counterfeits circulate quickly. According to the 2026 State of Brand Integrity Report, 57% of brands saw impersonator accounts or sites within a week of going viral, and some appeared within 24 to 48 hours.

In that environment, by the time a response starts, the demand has likely already moved. The problem isn’t that brands fail to respond. It’s that the way they respond is structurally bound to be late.

Why brands need control, not just enforcement

Traditional brand protection has focused on finding and removing individual cases. But that doesn’t solve recurring problems at the root.

Sellers come back under new accounts, and content is regenerated in new forms. It becomes an endless game of whack-a-mole.

Many brands experience the same problems:

Wasted resources
Repeated enforcement
Slow response
Little visibility into the overall picture

The question brands ask has to change:

“What matters now is not how many problems you removed,
but how steadily you are managing the market as a whole.”

You already have enough data. What’s missing is action

Most brands already have enough data. The problem is that it doesn’t lead to real decisions and action.

Without a clear view of where problems are occurring, which risks matter more and what to tackle first, action is slow and the response has limited effect.

From now on, competitiveness will depend not on how much data you have, but on how quickly you can interpret it and act.

[Seminar preview] How is AI changing decision-making?

On April 30, MarqVision will share practical answers to these changes at our seminar, How AI is changing e-commerce in 2026.

The seminar covers how e-commerce is changing in the AI era, how the AI tax arises, and how data-driven decisions can address it.

You’ll also see MarqVision’s new AI agent update: a decision-making system that understands the whole market and connects that understanding to action.

The point is simple: move from looking at data to acting on it.

The question has to change

“Should we adopt AI?” is no longer a meaningful question. Instead, ask:

How fast can we decide, and how fast can we act?

That difference will decide which brands grow.

E-commerce risk in 2026: how AI exploits brand success, and how to fight the AI tax