When Generative AI Meets Cross-Border E-Commerce: Should 120,000 Sellers Charge Ahead or Wait?

A while back, I grabbed dinner with some friends who run cross-border e-commerce businesses.

Several rounds in, one of them set down his chopsticks and asked me:

"Run, you know my company — a few dozen people, listing products, writing detail pages, shooting short videos every single day. The last couple of years, ChatGPT showed up, Midjourney showed up, and the platforms rolled out their own AI assistants. Should I get on board? I'm scared of getting burned if I do, and scared of falling behind if I don't."

I didn't rush to answer.

Because this isn't just his dilemma. Over the past two years, all 120,000 cross-border e-commerce companies in China — over a million people working in the industry — have been asking the same question.

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

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

What do I mean by "watershed"?

While everyone is still debating whether they should get into cross-border e-commerce, the industry has already grown to a scale you can't imagine.

Let me throw some numbers at you.

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

What does 2.38 trillion look like in context?

There are 120,000 cross-border e-commerce companies nationwide, over 200,000 independent storefronts (DTC sites), more than 1,000 cross-border e-commerce industrial parks, and over 2,500 overseas warehouses totaling more than 30 million square meters. The government approved 165 comprehensive pilot zones in one sweep.

Some predict the B2B cross-border e-commerce market will surge to 13.9 trillion RMB.

Can you still call this a "small business"?

Here's something else interesting. These sellers are no longer just fixated on big platforms like Amazon and Alibaba.com. Independent storefronts have quietly taken off. In 2024, the independent storefront market reached 3.4 trillion RMB, accounting for 35% of the entire B2C market. One brand that started out making power banks saw its independent storefront revenue grow 71.75% in 2022.

While everyone else was still fighting for traffic inside the platforms, it turned itself into the traffic.

Livestream commerce has also crashed the party. Short video apps have been the world's most downloaded app category since 2020, and cross-border livestreaming has become a new breakout channel. Sellers used to trudge from one trade show to another, grinding out deals one customer at a time. Now a single livestream session can close a whole wave of customers at once.

Now Look at This: Generative AI Is Moving Faster Than You Think

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

What exactly is generative AI?

Simply put: 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 generative AI. Those image-generation tools are generative AI. Amazon's conversational shopping assistant Rufus is generative AI, too.

It's different from the old kind of AI that "only classifies, only predicts." This one creates.

And in China, the speed is almost alarming.

AIGC (AI-Generated Content) applications have already surpassed 73.8 million users, an eightfold increase year-over-year. Some predict that by 2035, generative AI will create nearly 90 trillion RMB in economic value globally, with China capturing over 30 trillion — more than 40% of the total.

The government is paving the way, too. In August 2023, the "Interim Measures for the Management of Generative AI Services" was officially implemented, encouraging innovation with one hand while setting rules with the other. By April 2024, 117 large language models (LLMs) in China had completed service registration.

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

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

Let me break it down for you.

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

Sounds abstract? Let me give you some concrete examples.

There's a foreign trade sales rep who used to agonize over a single cold outreach email for half a day. Now he just drops the company name and product name into a tool, tweaks a few words, and a high-quality prospecting email comes out with one click.

Amazon launched an AI shopping assistant called Rufus. Overseas buyers can ask, "Is this good for camping?" or "How does this one compare to that one?" — and Rufus will make recommendations and lay out side-by-side comparisons based on the chat context.

An international trading platform rolled out an "AI business assistant." The moment a buyer posts a request, it instantly understands, auto-generates a reply, and even fills out the quotation for you.

Product detail pages, product images, livestream scripts, inventory forecasting — AI has seeped into every link of the cross-border e-commerce chain.

On Alibaba.com alone, AI-generated product information has surpassed 100 million listings. Merchants can deploy AI across more than 40 scenarios.

Think about it: if one tool can shoulder half the workload of your copywriting, design, and customer service — can you really afford to sit it out?

Hold On — Don't Rush In Just Yet

After talking with those friends, I noticed something interesting.

Everyone says AI is great, but the ones who've actually gotten the hang of it? Very few. I've identified four pitfalls that almost every small and medium-sized enterprise has fallen into.

Pitfall #1: Everything AI writes sounds exactly the same.

Think about it: the same company, the same product, listed on multiple platforms — each needs its own version of the copy. But everyone's using roughly the same large language models, feeding in roughly the same data, and some people only use a single tool.

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

The first time a consumer sees it, it feels fresh. By the third time, they're annoyed. Brand identity evaporates, and loyalty follows right behind.

Homogenization — the one gift AI gives to every person too lazy to think for themselves.

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

AI tools are popping up several a month, with features iterating as fast as phone OS updates.

Small and medium-sized businesses were already short on cross-border e-commerce talent. Now they have to chase after AI learning on top of that. What's worse, many bosses aren't confident about AI themselves — they don't know which tool to pick or how to integrate it with their business. The result: employees have no one to guide them, no one to teach them, and everyone's fumbling around in the dark.

Pitfall #3: AI talks a convincing game, but you have no way to tell if it's actually right.

AI has a problem. It doesn't guarantee that what it says is correct. It can spout absolute nonsense with a perfectly straight face.

But here's the thing: small and medium-sized businesses already lack the data and case studies to verify whether AI's marketing advice actually works. Verification costs money, time, and manpower. Cross-border e-commerce customer acquisition costs are already high — nobody wants to shell out another pile of cash for "trial and error."

So what ends up happening? The people using AI the most are mid- and lower-level employees — and they're precisely the ones least equipped to judge the quality of AI's output. The people using it and the people who can evaluate it are not the same group.

Pitfall #4: Toss your data into AI, and your secrets might walk right out the door.

Employees, for the sake of convenience, dump customer purchase records, new product specs, and even marketing strategies into AI tools for analysis. There are over a hundred LLMs on the market — today it's this one, tomorrow it's that one.

Once sensitive information lands in the hands of competitors, your product designs, customer lists, and pricing strategies get stripped bare.

You treat AI as a helping hand, and it can turn right around and act as a mover — carting away everything you've built.

So What Should Small and Medium-Sized Businesses Actually Do?

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

I've distilled their experience and my own thinking into five principles.

Principle #1: Squeeze every drop of the free stuff first before paying for anything advanced.

When resources are tight, don't start by paying for premium tools. Amazon, Alibaba.com — these platforms already have their own AI tools, complete with online courses, many of them free. If you've never touched AI, start here.

For employees who've bought their own paid tools, reimburse them within a reasonable range and encourage learning. Platform-organized skill competitions, industry exchange events — go if you can. You can also partner with universities and use their teaching software to run marketing simulation drills. You can build skills without burning through real money.

If you can learn something for free, don't go paying casino prices for the lesson.

Principle #2: Don't trust AI blindly — build a verification gate.

AI-generated content must have human oversight. How do you gatekeep it?

First, use big data. Cross-border e-commerce platforms have already accumulated massive amounts of consumer data. Start by mining that data for real consumer habits and preferences, then let AI generate content based on those insights, and finally use data feedback to verify the results.

Second, rely on your buyers. Whatever country you're selling to, find a local partner there and ask how that version of your marketing content actually feels to a native reader. Frontline feedback beats armchair guesswork every time.

Third, run simulation drills. University training facilities, livestream bases — you can use all of them to practice. Test in a safe environment first, then go out and play for real.

Principle #3: Find partners and work together — don't go it alone.

Cross-border e-commerce isn't something one person can shoulder alone. Platforms, technology vendors, peer companies — any of them can be your partners.

Build strategic alliances. Share resources, technology, and experience. In industry communities, there's a whole crowd of people researching how to actually apply AI in cross-border marketing. The hard-won lessons they've paved are worth digging into.

The government is also pushing public training data resource platforms, and companies should actively participate, willing to contribute their own data to the collective pool. 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.

Principle #4: Give AI a job description — and don't let it cross the line.

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

The company needs to think clearly: Which tasks go to AI, and which tasks must be handled by humans? Livestream scripts, product detail page copy — AI can draft them. But the final polish and brand voice must be overseen by a person. Otherwise, everything comes out tasting the same.

AI's capabilities are constantly evolving, and your evaluation of them needs to evolve too. I'd even suggest writing AI tools into your human resources planning as "virtual employees." It has a role, it has responsibility boundaries, and it gets regular performance reviews.

Principle #5: Legal compliance and data security — not a single line can slack.

Before using any AI tool, first confirm whether it has completed service registration. When using it, strictly follow the rules on consumer privacy protection, intellectual property, and anti-unfair competition.

Ideally, set up a dedicated legal role, or hire a professional lawyer, to regularly conduct compliance audits on your company's marketing activities and AI usage. At the same time, tighten up internal management — you need to know what your employees are doing online.

Compliance isn't a shackle. It's the safety rope that lets you climb higher.

Finally

After the dinner wrapped up, my friend was quiet for a moment, then said:

"After hearing 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, tangible opportunity. For companies that have transitioned from foreign trade factories, companies running multiple platforms simultaneously, and companies that also need to do livestreaming — this opportunity is especially large.

But opportunity has never equaled results. Treat AI as a miracle cure and pour it in blindly, and it becomes a landmine buried in your business. Treat it as a blade that needs a human hand to wield it, 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 bold enough to wield new tools — yet clear-eyed enough to know exactly where those tools' limits lie.

Here's to you and your company finding your own footing in this wave.