Consumers are increasingly outsourcing the miserable part of online shopping to AI, but giving a chatbot your credit card is a whole different story. According to Adobe Analytics, AI-referred traffic to retail sites is skyrocketing, but the actual checkout experience hasn't quite caught up yet. In this episode, we break down the frustrations of e-commerce and pick up five B2+ expressions perfect for describing tedious tasks, bad design, and healthy skepticism.
⚡ 5 Key Expressions
Expression 01
Wade through (something)
To spend a lot of time and effort reading or dealing with a large amount of boring or complex information. The literal meaning is to walk with effort through shallow water. Metaphorically, you wade through documents, emails, or in this case, "sponsored clutter." It implies that the process is slow, requires effort, and there is resistance.
- "The lawyers had to wade through hundreds of pages of contracts before the trial."
- "I spent the whole weekend wading through old boxes in the attic trying to find my diploma."
Expression 02
A drag
A very common, slightly informal noun used to describe something that is boring, annoying, tedious, or a "buzzkill." The article points out that "online shopping today is a drag." It is a highly versatile phrase for daily conversation when expressing mild to moderate frustration with an activity or situation.
- "It's a real drag that it rained on the only day we planned to go to the beach."
- "Having to commute an hour each way every single morning is such a drag."
Expression 03
Clunky
Heavy, awkward, or badly designed. It can describe physical objects (like heavy boots) or digital experiences. In business and tech English, it is heavily used to describe software, interfaces, or systems that are not user-friendly or intuitive. It is the direct opposite of "sleek" or "seamless."
- "The app's new update is so clunky, it takes five clicks just to log in."
- "The dialogue in that movie felt pretty clunky and unnatural."
Expression 04
Stumble (noun)
Literally, a trip or a loss of balance. When used as a noun in a professional context, it means a mistake, an error, or a temporary problem during a rollout or process. It highlights a flaw or a hiccup without meaning total failure.
- "The company's stock dropped after a few early stumbles in their new marketing campaign."
- "Despite a minor stumble during the interview when she forgot a name, she still got the job."
Expression 05
Take (something) with a grain of salt
To not completely believe something or to be skeptical about a piece of information. The phrase likely originates from an ancient Roman recipe for a poison antidote that required a literal grain of salt. Today, it means to apply a little skepticism to protect yourself from being fooled, exaggerated to, or misled.
- "You should take online reviews with a grain of salt; a lot of them are fake or paid for."
- "He exaggerates a lot, so I generally take his stories with a grain of salt."
🎭 The Dialogue: The AI Shopping Cart
Maya is exhausted from looking at laptop specs online, and Alex thinks he has the perfect high-tech solution. But Maya isn't quite ready to hand over her credit card.
📍 The office breakroom. Maya is staring blankly at her phone screen when Alex walks in.
Maya: I just spent an hour wading through sponsored products trying to find a decent laptop, and I'm exhausted.
Alex: Online shopping today is such a drag. You should really use an AI shopping assistant to narrow it down.
Maya: I tried one last year, but the interface was so clunky, it just confused me more.
Alex: They've gotten way better! Although, to be fair, they still have some real stumbles when it comes to the checkout process.
Maya: Yeah, my friend's AI ordered her the wrong size shoes. So, I'll take your glowing recommendation with a grain of salt.
Alex: Fair enough. You definitely shouldn't let the bot hold your credit card just yet.
Maya: Exactly. I'll let the AI do the searching, but I'll do the buying.
Alex: Smart move. Best of both worlds right there.
🧠 Episode Quiz
Can you answer this?
According to Adobe Analytics data analyzing over 1 trillion visits to US retail sites, AI-referred traffic saw a massive jump in the first quarter of the year. How much did that traffic rise year over year?
✅ Answer: C — Nearly 400 percent. To be exact, it rose 393% year over year. The data suggests that consumers are arriving at retail sites already knowing roughly what they want, having used AI chatbots and agents as personalized shopping assistants to cut through the noise before they even click a link.
