Generative AI Has Arrived at the Door of Cross-Border E-Commerce: Do You Charge In or Sit It Out?

A while ago, a few friends who run cross-border e-commerce businesses invited me to dinner.

A few drinks in, one of them suddenly set down his glass and asked me:

"Run, my company has a dozen or so people — every day they're listing products, writing detail pages, shooting short videos. These past couple of years, ChatGPT, Midjourney — one after another they keep popping up. And the platforms themselves have rolled out a whole pile of AI assistants. Should I get on board or not? If I do, I'm afraid of stepping into a trap. If I don't, I'm afraid of getting left behind."

I didn't answer right away.

Because this question isn't just his alone. Over the past two years, more than 120,000 cross-border e-commerce companies and over a million practitioners nationwide have all been stuck at the same crossroads.

Generative AI is here, and cross-border e-commerce is standing at a watershed moment.

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First, a Fact: Cross-Border E-Commerce Has Quietly Grown Tenfold

What do I mean by "watershed"?

While everyone is still arguing about "should I get into cross-border e-commerce," the scale of this industry has already grown beyond what you'd dare to imagine.

Let me give you a few numbers.

Over the past five years, China's cross-border e-commerce import and export volume has grown tenfold. In 2023, total import and export value reached 2.38 trillion yuan, up 15.6% year over year. Of that, exports accounted for 1.83 trillion yuan — nearly a 20% increase.

What does this mean?

There are now more than 120,000 cross-border e-commerce companies nationwide, over 200,000 independent stores, more than 1,000 cross-border e-commerce industrial parks, and over 2,500 overseas warehouses with a total area exceeding 30 million square meters. The government has approved 165 comprehensive pilot zones in one go.

Some say that by 2025, the B2B cross-border e-commerce market will surge to 13.9 trillion yuan.

Can you still call this a "small business"?

What's more interesting is that sellers are no longer just staring at the big platforms like Amazon and Alibaba.com. Independent stores have been quietly emerging — in 2024, the independent store market reached 3.4 trillion yuan, accounting for 35% of the entire B2C market. One brand that started out making power banks saw its independent store revenue grow 71.75% in 2022.

While others were still fighting for traffic on the platforms, it had already turned itself into a traffic gateway.

Livestream selling has crashed in too. Short-video apps have been the most-downloaded app category globally since 2020, and cross-border livestreaming has become the new breakout hit. Sellers used to trudge from one trade show to another, grinding through one customer at a time — now a single livestream can close deals with a whole batch of buyers at once.

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Generative AI Is Moving Faster Than You Think

Cross-border e-commerce is surging, and generative AI is moving even faster.

What is generative AI?

In plain terms: you give it a sentence, and it can generate a paragraph of text, an image, a video, or even a line of code. ChatGPT is one kind; those image-generation tools are another; Amazon's conversational shopping assistant Rufus is yet another.

Unlike the previous generation of AI that "could only classify and predict," this generation of AI can create.

Its speed of adoption in China is almost startling.

AIGC application users have already surpassed 73.8 million, an eightfold increase year over year. Some predict that by 2035, the economic value created by generative AI worldwide will approach 90 trillion yuan, with China capturing over 30 trillion — more than 40%.

The government has been racing to lay the groundwork too. In August 2023, the "Interim Measures for the Management of Generative Artificial Intelligence Services" officially took effect — encouraging innovation on one hand while setting rules on the other. By April 2024, 117 domestic large language models (LLMs) had completed their service filings.

This isn't the future. This has already happened.

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

Let me break it down for you.

Right now, AI is mainly doing three things in cross-border e-commerce: personalized recommendations, insight mining, and content creation.

Sounds abstract? Let me give you a few concrete examples.

There's a foreign-trade sales rep who used to agonize for half a day over a single prospecting email. Now? He tosses the company name and product name into a tool, tweaks the wording a little, and out comes a high-quality prospecting email.

Amazon launched an AI shopping assistant called Rufus. When an overseas buyer asks, "Is this good for camping?" or "How does this one compare to that one?" Rufus can make recommendations and build comparisons based on the conversation.

Another international trading marketplace introduced an "AI business assistant" — the moment a buyer sends a request, it instantly reads it, automatically generates a reply, and even fills out the quotation form for you.

Building product detail pages, generating product images, writing livestream scripts, forecasting inventory... AI has seeped into every capillary of cross-border e-commerce.

On Alibaba.com alone, AI-generated product information has surpassed 100 million entries. Merchants can use AI in more than 40 scenarios.

Think about it — when a tool can eliminate half the workload of your copywriting, design, and customer service, can you really afford not to use it?

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But Hold On — Don't Just Charge In

After chatting with those friends, I noticed a pattern.

Everyone says AI is great, but the ones who've actually gotten the hang of it? Not many. I've identified four pitfalls that almost every SME has stumbled into.

Pitfall #1: What AI writes all looks the same.

Think about it — a company puts the same product on several platforms and needs multiple versions of copy. But the AI tools everyone uses are more or less the same, the data they're trained on is similar, and some people only use a single tool.

The result? The product description on Amazon, the description on the independent store, and the pitch in the livestream all look like they came from the same mold.

Consumers find it fresh the first time. By the third time, they're annoyed. Brand distinctiveness vanishes, and loyalty goes with it.

Homogenization is AI's gift to every lazy person — the exact same gift.

Pitfall #2: Not enough people, not enough skills.

New AI tools pop up every month with new features, updating more frequently than your phone's OS.

SMEs were already short on cross-border talent, and now they have to chase AI learning on top of it. What's worse is that many bosses can't decide — they don't know which to choose or how to connect it to their business. The result: employees with no one to guide them, no one to teach them, fumbling around in the dark.

Pitfall #3: AI sounds convincing, but you can't tell if it's actually right.

AI has a problem. It doesn't guarantee that what it says is correct — sometimes it confidently makes things up.

And SMEs are precisely the ones who lack the data and case studies to verify. Verification costs money, time, and headcount. Cross-border e-commerce sales costs are already high enough — no one wants to pay extra "trial-and-error costs."

So what happens? The people who use AI the most are junior and mid-level employees, but they're also the least equipped to judge quality. The users and the judges are not the same people.

Pitfall #4: Toss your data into AI, and your whole playbook might leak out.

For convenience, employees toss customer purchasing records, new product specs, and even marketing strategies into AI tools for analysis. There are over 100 domestic LLMs on the market — the same person might use one today and switch to another tomorrow.

Once sensitive information flows to a competitor, your product designs, customer lists, and pricing strategies are all laid out on the table.

You treat AI as a helper, and it can turn around and act as a mover, carting your playbook right out the door.

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So What Should SMEs Actually Do?

I told those friends: don't panic. The pitfalls are real, but so is the path forward.

Drawing on their actual situations and some thinking of my own, I've laid out five strategies.

Strategy #1: Squeeze every drop of value out of the free stuff before you pay for anything fancy.

When money's tight, don't start by throwing cash at paid tools. Platforms like Amazon and Alibaba.com all have their own AI tools, many with online courses — and quite a few are free. If you haven't touched AI yet, start here.

If employees buy paid tools with their own money, reimburse them within reason and encourage learning. Platform-organized skill competitions and industry networking events — go if you can. You can also partner with universities and use their teaching software to run marketing sandbox simulations — practice without spending real money.

If you can get it for free, don't pay to roll the dice.

Strategy #2: Don't trust AI blindly — build a verification system.

AI-generated output needs human oversight. How do you check it?

First, use big data. Cross-border e-commerce platforms already hold massive amounts of consumer data. Use that data to mine consumers' real habits and preferences, then let AI generate content based on those insights, and finally use data feedback to verify the results.

Second, rely on buyers. Wherever your goods are sold, find a partner in that country and ask them how the marketing content feels to them. Frontline feedback beats gut-feel guesswork.

Third, run sandbox simulations. University training bases and livestream studios can all be used for practice. Test in a safe environment first, then take it out into the real world with real stakes.

Strategy #3: Find partners and move together — don't try to carry it all alone.

Cross-border e-commerce is not a solo game. Platforms, tech providers, and peer companies can all be your partners.

Form strategic alliances to share resources, technology, and experience. In industry communities, plenty of people are studying "how to actually use AI in cross-border marketing" — the lessons they've carved out are worth mining.

The government is pushing public training-data resource platforms, and companies should actively participate, willing to put their own data on the table. An industry that wants to move forward doesn't rely on one or two heroes — it relies on a group of people willing to blaze the trail together.

Strategy #4: Give AI a job description — don't let it overstep.

AI can do a lot of things, but it can't do everything.

Companies need to be clear about which tasks go to AI and which must stay with humans. Livestream scripts, product detail page copy — AI can produce a first draft, but the final polish and tone control must have someone watching. Otherwise everything that comes out tastes the same.

AI's capabilities are changing, and your evaluation has to change with them. I'd even suggest writing AI tools into your human resources plan, treating each one as a "virtual employee." It has a position, it has boundaries of responsibility, and it gets regular performance reviews.

Strategy #5: Legal and data security — not a single line can slip.

Before using an AI tool, confirm whether it has completed its service filing. During use, the rules on consumer privacy protection, intellectual property, and anti-unfair competition — not one can be broken.

Best to set up a dedicated legal role, or hire a professional lawyer, to regularly conduct compliance reviews of the company's marketing activities and AI usage. At the same time, tighten internal management and monitor employees' online operations.

Compliance isn't a shackle — it's the safety rope that lets you go farther.

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One Last Thing

After that dinner, my friend was quiet for a moment, then said:

"Listening to all this, AI isn't a question of whether to use it. It's a question of how to use it."

Exactly right.

What generative AI brings to cross-border e-commerce is a genuine opportunity. For companies that have pivoted from foreign-trade factories, that operate across multiple platforms, and that also need to run livestreams — this opportunity is especially large.

But opportunity never equals results on its own. Pour AI into your business like a cure-all, and it becomes a landmine buried under your operation. Treat it as a blade that needs a human hand to wield, and it can help you carve open new markets.

Tools will change. Industries will change. But one thing won't change. The people who win in the end are always the ones who dare to use new tools and who clearly understand where those tools' boundaries lie.

Here's wishing you and your company a place of your own in this wave.