Is it really getting harder to sell on Amazon? Or are there any other factors affecting this?
- AI’s reading into your listing images 🖥️
- Selling on Amazon isn’t getting harder—it’s getting uneven 👀
AMAZON NEWS
A lot of people think Amazon’s marketplace growth just “happened.” That more sellers joined, more products showed up, and over time it became what it is today. But the reality is more deliberate than that.
Someone who spent years inside Amazon shared how the shift actually played out—and why it matters for anyone building on the platform.
👀 What actually changed
In the early days, Amazon sold a large portion of products itself. They owned inventory, managed supply, and operated like a traditional retailer. But over time, that model started to shift. Instead of scaling inventory, Amazon started scaling sellers. And that decision changed everything.
Why Amazon leaned into third-party sellers
Owning inventory comes with risk. You have to forecast demand, manage storage, deal with unsold stock, and operate on tight margins. Third-party sellers remove most of that. They bring the products, take on the risk, and handle sourcing. Amazon provides the infrastructure—and takes a cut at every step.
The result is a system where growth doesn’t require Amazon to take on more risk. It just requires more sellers.
✨ What that created
Today, most products sold on Amazon come from third-party sellers. On the surface, that looks like a win for sellers. More opportunity, more access, more reach. But the structure behind it tells a different story.
Every seller operates inside a system Amazon controls. Fees, fulfillment, storage, advertising—each layer adds cost. And as more sellers enter, competition increases. That usually leads to more aggressive pricing, higher ad spend, and lower margins.
What looks like growth on the outside often feels like pressure on the inside.
Where the real leverage sits
Amazon doesn’t need to win on individual products. It wins on volume. More sellers means more listings. More listings means more competition. More competition drives more ad spend and more reliance on Amazon’s tools.
That’s where the model becomes clear. Amazon isn’t just a marketplace. It’s infrastructure that monetizes activity.
The shift sellers are starting to make
Some sellers are starting to look at Amazon differently. Not as the business itself, but as one channel within a larger strategy. They use it for visibility, demand, and distribution, while building brand, audience, and customer relationships outside of it.
Because relying entirely on Amazon means operating inside rules you don’t set.
The takeaway
Amazon didn’t lose control by letting sellers take over. It restructured the system so it could scale without owning the downside.
And for sellers, that changes the question. It’s no longer just how to win on Amazon. It’s what you’re building beyond it.
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BITES OF THE WEEK
- EU–US Trade Deal Moves Forward (With Conditions): EU lawmakers approved a major trade deal cutting tariffs on US industrial goods, but added safeguards—including expiry clauses and enforcement conditions—amid concerns over imbalance and future US policy risks.
- Shopify Launches “Tinker” AI App: Shopify introduced Tinker, a free mobile app bundling 100+ AI tools for product images, videos, and branding—lowering the barrier for merchants to create and iterate faster.
TRENDING TOPIC
ICYM: Image listings might be affecting your rankings now
A seller recently pointed out something unusual. They noticed Amazon might be using AI to read listing images—not just display them. And it changes how listings work more than most sellers realize.
What sellers are seeing
In the thread, the seller explained that Amazon seems to extract information directly from images—things like product features, text overlays, and visual cues. Not just for customers, but for the algorithm itself. That means your images aren’t just for conversion anymore. They’re part of how Amazon understands your product.
Why this matters
For years, listings were text-first. Titles, bullets, backend keywords—that’s where optimization lived. Images were there to convert. Now that line is blurring. Amazon’s AI systems can scan visuals to understand product use, features, and context—and feed that into search and recommendations. So if your images are unclear, inconsistent, or generic, you’re not just losing conversions. You might be losing visibility.
What’s actually changing
Amazon has already been pushing AI into listings. Sellers can now generate listing content from minimal inputs, including images. That same shift is happening in reverse. Instead of just creating listings from images, Amazon is starting to interpret them too. Which means images are no longer just creative assets—they’re data inputs.
The real implication
This isn’t just about better creatives. It’s about a new layer of optimization. Your images now need to communicate clearly to two audiences: the customer and the algorithm. Clean visuals, clear use cases, readable text, and strong context all matter more. Because the AI isn’t guessing—it’s extracting.
What sellers are starting to realize
The old way of thinking was simple: images help convert. The new reality is different: images help Amazon understand your product. And that shift changes how you approach design, messaging, and structure.
The takeaway
Amazon listings are becoming multimodal. Not just keywords and copy, but visuals that machines can read. And if your images don’t communicate clearly, you’re not just behind on conversion—you’re behind on discovery too.
