Cross-Border E-Commerce SMEs Are Being Reshuffled by AI

A data point recently stopped me in my tracks.

On Alibaba.com, over 100 million product listings are AI-generated.

100 million.

Think about what that means. The product descriptions, detail pages, and keywords that used to take a copywriting team days to produce — now a single tool handles them in minutes.

And the sellers using these tools span more than 40 e-commerce scenarios.

Mind-blowing.

I keep wondering: what is really going on here? Where do the SMEs running cross-border e-commerce actually stand in all this?

Today, I want to break it all down for you.

First Things First: Cross-Border E-Commerce Has Absolutely Exploded

Do you know how big China's cross-border e-commerce has gotten?

In 2023, China's total cross-border e-commerce import and export volume reached 2.38 trillion yuan, up 15.6% year over year. Of that, exports accounted for 1.83 trillion yuan, growing 19.6%.

What does that mean in context?

That same year, China's total import and export volume was 41.76 trillion yuan — growing just 0.2% year over year.

In other words, the overall pie barely moved, while cross-border e-commerce was sprinting ahead.

Over the past five years, this industry has grown more than tenfold. As of 2024, China has over 120,000 cross-border e-commerce companies, more than 200,000 independent DTC sites (direct-to-consumer sites operating outside major marketplaces), 165 cross-border e-commerce comprehensive pilot zones (government-designated zones with special customs and tax policies to support cross-border trade), and over 2,500 overseas warehouses.

You might say — what do these numbers have to do with me?

A lot.

Because behind these numbers stand countless SME owners who have transitioned from traditional foreign trade. They used to only know how to take bulk orders and ship containers. Now they have to learn how to open stores on Amazon, run livestreams on TikTok, and chat with global buyers on Alibaba.com.

These business owners are going through a fundamental shift — from a "factory mindset" to a "retail mindset."

And in this shift, AI has become a lever.

What Exactly Is AI Doing in Cross-Border E-Commerce?

What do we mean when we talk about AI applications in cross-border e-commerce?

Simply put, it comes down to three things.

First: it writes for you.

Product titles, bullet-point descriptions, detail page copy, ad creatives, cold outreach emails. A foreign trade salesperson used to burn out after writing 10 outreach emails a day. Now, using ChatGPT or Alibaba.com's OKKI tool, you just enter the company name and product name, and it generates high-quality client outreach emails with one click.

Alibaba.com's AI Business Assistant goes even further — the moment an overseas buyer sends a message, it instantly grasps their needs, automatically suggests replies, and even fills out the quote for you.

Second: it designs for you.

Tools like Midjourney — you type in a text description and get a product image right back. No need to hire a photographer, set up a studio, or retouch photos. An e-commerce operator who knows how to write prompts can produce dozens of detail page visuals in a single day.

Third: it sells for you.

Rufus, launched by Amazon, is a generative AI shopping assistant. When a buyer asks it "which one should I buy," it provides recommendations and comparisons based on the conversation. What does that mean? It means whether your product gets recommended increasingly depends on how well AI understands your listing.

You see — from writing, to designing, to selling, AI has penetrated every stage of the cross-border e-commerce pipeline.

Marketplace Pulse's research even found that over 40% of Amazon sellers are from China. Among these sellers, how many are using AI tools?

Almost all of them.

But wait.

Everything has a flip side.

Four Pitfalls Waiting for SMEs

From March to April 2023, someone conducted in-depth interviews with 20 cross-border e-commerce SMEs across China. They covered East China, South China, Central China, Southwest China, North China, and Northwest China — essentially hitting all the major regions where Chinese sellers are concentrated.

The interview results exposed four very real problems.

Pitfall One: AI-Generated Content Is Starting to Look the Same

This might be the most insidious problem.

A typical SME often runs stores simultaneously on Amazon, Alibaba.com, Shopee, and Lazada. The same product needs different marketing content on each platform.

But guess what?

They're all using the same AI tool, the same model, and the same dataset. So the copy for the same product across different platforms turns out nearly identical.

Think about it — if a consumer sees a product description on Amazon that's almost the same as the one on Shopee, are they going to feel that this brand has anything distinctive about it?

Homogenized content is quietly erasing brand differentiation.

Livestream selling is no different. If the scripts in every livestream room are AI-generated, then different sellers' streams sound like they were stamped from the same mold.

Consumers get fatigued. And when they're fatigued, they leave.

Pitfall Two: People Need to Learn Tools, but Tools Won't Wait for People

Hiring is already hard for SMEs.

Among cross-border e-commerce practitioners, 88.3% are sellers, and 65.4% of them work in operations. An e-commerce operator has to handle way too much: product selection, listing, ranking optimization, data analysis, ad placement, content creation. Every single one of these requires specialized skills.

Now you tell them: you also need to know how to use AI tools.

ChatGPT came out at the end of 2022, and Alibaba.com's GAI tools didn't launch until 2023. These tools are brand new and iterating at breakneck speed. What you learn today might completely change by next month.

Many SME owners haven't even figured out what AI can do themselves, let alone train their employees. The result: they've bought a pile of tools, but hardly any are actually being used.

Pitfall Three: Nobody Knows Whether the AI Is Right

This pitfall is particularly dangerous.

AI-generated content sometimes looks very professional — but you have no idea if it's actually correct.

A junior operator uses ChatGPT to write a product description and publishes it directly. Does it perform well? She doesn't know. There's nothing to compare against. She doesn't have a human-written version to use as a benchmark.

Verifying AI's reliability takes time, money, and effort. But SME marketing budgets are already tight — where is the extra money for this kind of validation?

What's more, the people primarily using AI tools are junior and mid-level operators. Senior staff actually use them less. They don't trust the tools, so they won't help evaluate the output either.

The result: whatever AI recommends, the company uses. Right or wrong, it's all down to luck.

Pitfall Four: Data Security — A Sword Hanging Overhead

As of April 2024, China already had 117 large language models that had completed regulatory filing (mandatory government registration for AI services in China).

What does this mean? There's a huge stack of AI tools available on the market. And a single employee might be using several at the same time.

Here's the problem.

Employees are feeding customer purchase records, product design specifications, and marketing strategies — core business data — into AI tools. Where does this data go? Is it being used for model training? Could it be leaked to competitors?

Nobody can say for certain.

If core business information leaks, for an SME, it could be catastrophic.

So What Should You Do?

I've talked about all these pitfalls — not to scare you away from AI.

Quite the opposite. You absolutely must get on board with AI. But you need to know how to do it.

Here are my recommendations.

First, start with the platform's free tools and courses. Both Amazon and Alibaba.com offer accompanying AI tools and online training courses. If you haven't touched AI yet, start with these free resources. Don't go spending big money on premium tools right out of the gate — build your foundation first.

Second, make data and AI work together. Big data technology excels at extracting insights from massive datasets, while AI excels at generating content based on those insights. First, use the platform's big data tools to understand what consumers want. Then, use AI to generate precise marketing materials. A two-step approach is far more reliable than trying to do it all at once.

Third, manage AI like a virtual employee. You need a clear understanding of what it can and can't do. When assigning it tasks, evaluate its capability boundaries. Don't give it work that exceeds its abilities, but don't dump everything on it either.

Fourth, compliance first. Before using any AI tool, confirm whether it has completed regulatory filing. Content involving customer privacy and intellectual property should be anonymized where needed and isolated where appropriate. China's Interim Measures for the Management of Generative AI Services took effect on August 15, 2023 — this is not optional.

Fifth, find peers to walk alongside you. In cross-border e-commerce, you won't get far working in a silo. Join industry communities, participate in platform skill competitions, and build partnerships with technology providers. The pitfalls you're hitting — someone else has already hit them. The pitfalls others have fallen into — you don't need to repeat.

In Closing

Sometimes I wonder — what does it feel like for those bosses who have transitioned from traditional foreign trade factories to cross-border e-commerce?

It's probably a bit like this: you've been driving a manual-transmission truck your whole life, and suddenly someone hands you a self-driving electric car.

The steering wheel is still there, but much of the work no longer needs your hands.

Is that a good thing or a bad thing?

I think it depends on whether you can learn to work with this "computer."

Those who figure it out — one person does the work of five.

Those who don't — can't even hold on to the five jobs they used to have.

China's cross-border e-commerce independent DTC site market reached 3.4 trillion yuan in 2024, accounting for 35% of the entire B2C market. Anker Innovation, as the first Chinese cross-border e-commerce company to go public independently, saw its independent DTC site revenue grow by 71.75% in 2022.

These numbers tell you — the track is there, and so are the opportunities.

But opportunity only favors the prepared.

Here's hoping you're the one who's prepared.