Sendi Jia, a designer running her own studio between Beijing, China, and London, England, says she mainly uses AI generators like DALL-E to make fake photos for background panels or websites when her clients don’t have access to real ones. That’s helped clients with limited budgets, but it’s also exposed just how much of the creative process AI can replace. Recently, a potential client working in a university contacted Jia about creating the logo for a new project. Then, they changed their mind. They had used AI to make it, they said.
Technology
Graphic artists in China push back on AI and its averaging effect
Chinese graphic artists are rapidly experiencing the impact of image generators on their day-to-day work: the technology enables copycats and profoundly shifts clients’ perception of their work, specifically in terms of how much that work costs and how much time it takes to produce. Freelance artists or designers working in industries with clients that invest in stylized, eye-catching graphics, like advertising, are particularly at risk.
Long before AI image generators became popular, graphic designers at major tech companies and in-house designers for large corporate clients were often instructed by managers to crib aesthetics from competitors or from social media, according to one employee at a major online shopping platform in China, who asked to remain anonymous for fear of retaliation from their employer.
Where a human would need to understand and reverse engineer a distinctive style to recreate it, AI image generators simply create randomized mutations of it. Often, the results will look like obvious copies and include errors, but other graphic designers can then edit them into a final product.
“I think it’d be easier to replace me if I didn’t embrace [AI],” the shopping platform employee says. Early on, as tools like Stable Diffusion and Midjourney became more popular, their colleagues who spoke English well were selected to study AI image generators to increase in-house expertise on how to write successful prompts and identify what types of tasks AI was useful for. Ultimately, it was useful for copying styles from popular artists that, in the past, would take more time to study.
“I think it forces both designers and clients to rethink the value of designers,” Jia says. “Is it just about producing a design? Or is it about consultation, creativity, strategy, direction, and aesthetic?”
“You might get a good result, but there will inevitably be dozens or even hundreds of poor ones … Personally, I see [AI image generators] as more of a toy than a tool.”
At ad agencies, for example, graphic designers work on comprehensive strategies for campaigns, aiming to create iconic, recognizable visual identities across a variety of formats. As such, AI image generators are less useful because they don’t produce anything particularly unique, according to Erbing, a graphic designer in Beijing who has worked with several ad agencies and asked to be called by his nickname.
“Each project faces different problems, and designers are there to solve specific problems, not to create identical visuals,” he says. “Sometimes, the process of thinking through a project takes longer than actually creating the visuals.”
When faced with more complex tasks, AI’s utility dwindles. Image generators are capable of creating many images, but that does not replace the work of understanding what an ad campaign needs to establish a visual identity and communicate what it is the client is selling and why people should buy it. Then, translating those concepts to the AI productively is its own challenge. Among graphic designers in China, there’s a joke that using an AI image generator is like gacha, referring to addictive games where users spend money to receive randomized items and find out what they won.
“You might get a good result, but there will inevitably be dozens or even hundreds of poor ones,” Erbing says. “Personally, I see [AI image generators] as more of a toy than a tool.”
Across the board, though, artists and designers say that AI hype has negatively impacted clients’ view of their work’s value. Now, clients expect a graphic designer to produce work on a shorter timeframe and for less money, which also has its own averaging impact, lowering the ceiling for what designers can deliver. As clients lower budgets and squish timelines, the quality of the designers’ output decreases.
“There is now a significant misperception about the workload of designers,” Erbing says. “Some clients think that since AI must have improved efficiency, they can halve their budget.”
But this perception runs contrary to what designers spend the majority of their time doing, which is not necessarily just making any image, Erbing says.
Erbing, like other designers, hopes AI image generators can become more useful to graphic designers in the future, and notes that people’s perception of their usefulness outpaces their actual application. In the meanwhile, it is twisting the clients’ view of the usefulness of the artists themselves.
Bluesky will be getting “communities,” which will function as smaller spaces where you can “go deeper and hang out with people who care about the same stuff” sometime this year, according to head of product Alex Benzer. They will be built on the decentralized AT Protocol that underpins Bluesky, with Benzer saying that “it’s a new structure for everyone” that’s part of the “Atmosphere” (a shorthand for the AT Protocol ecosystem).
Benzer listed out a “few ideas we have in mind so far” in a thread. “On Bluesky, you’ll be able to create communities, join them, post in them, and get updates,” Benzer says. “The core features on Bluesky stay simple. The magic comes from communities also existing on the open web. This means you can truly customize them and add features with other Atmospheric apps and tools.”
Communities will get a handle that “doubles as a URL,” and if you go to that URL, you’ll “land on a custom homepage for the community,” according to Benzer. “Builders can also host a completely custom experience there instead.” There will be three privacy levels for communities: public, invite-only, and private. And each community would have its own feed, Benzer says.
Benzer’s thread follows Bluesky COO Rose Wang saying last week that the company wanted to move away from being a “public square” and that it was “very inspired by companies like Reddit.” Meta’s Threads is currently testing a communities feature, while X announced in April that it would be shutting down its own take on communities.
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Amazon is getting ready for Prime Day, and you can bet scammers are, too. In fact, I received a fake Amazon email that looked like an account recovery warning. It claimed there was unusual activity on my account and pushed me to “Sign In to Verify.”
That kind of message can make anyone uneasy. It certainly did for me. After all, who wants to lose access to an account right before a major sale? Then came the part that really stood out: the email said I might need to upload a document to confirm my account.
That was the giveaway. A real deal can save you money. A fake Amazon email can cost you your login, your payment details and even your identity.
Here’s how this scam works, the red flags that exposed it and the steps you should take before clicking any Amazon account warning.
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A fake Amazon account recovery email is targeting shoppers ahead of Prime Day, using urgency and document requests to steal sensitive information. (Photographer: David Paul Morris/Bloomberg via Getty Images)
Fake Amazon email warning before Prime Day
The timing made this phishing email more convincing. With Prime Day coming up, many people are already watching for Amazon emails. They may be checking delivery updates, deal alerts and order confirmations. That creates the perfect opening for a fake account warning.
The email used the same tricks you see in many phishing scams. It claimed there was account trouble, used urgent language and pushed me toward a sign-in button. That is exactly what scammers want.
Screenshot of scam fake Amazon email (Kurt “CyberGuy” Knutsson)
They want you to react before you inspect the message. They want you to sign in before you think through the request. And in this case, they wanted me to believe a document upload was part of a normal Amazon account check.
Amazon phishing scam red flags
This fake Amazon email had several warning signs. First, it landed in my junk folder. That alone does not prove fraud, but it should make you cautious.
Second, the subject line sounded awkward. It said, “Account Recovery: Sign-in and Verify your Amazon account.” That wording felt stiff and a little off.
Third, the greeting was generic. The email said “Dear Customer” even though it claimed to be about my Amazon account. That alone does not prove the email is fake, but it adds to the concern.
Fourth, the message created urgency. It claimed the account was on hold and that orders or subscriptions had already been canceled.
Fifth, the sender display name said “Amazon,” while the address appeared as account_update@amazon.com. That may look official at first. Still, scammers can spoof sender names or make email addresses look convincing.
Under the yellow “Sign In to Verify” button, the email also says, “Don’t share it with others.” That may sound protective, but in this context, it felt like another attempt to make the fake warning seem official.
The biggest warning sign came from the document request. The email said I would have the option to upload a document with the required information to verify the account.
That should stop you cold. Scammers may be after more than your Amazon password. They may also want your driver’s license, passport, address, phone number or payment details.
Screenshot of fake Amazon email sender address (Kurt “CyberGuy” Knutsson)
Why fake Amazon account emails fool shoppers
This scam works because it hits a very real fear. Most people do not want to lose access to an online shopping account. That concern grows when a big sale is about to start. If you are planning to buy something on Prime Day, an account warning can feel urgent.
The email also borrowed Amazon’s familiar look. It used the Amazon name, a logo area and a yellow sign-in button. It also included a footer that appeared to show an Amazon.com link. That can make the message feel safer than it really is.
Here is the problem. The visible link text in an email can mislead you. A link can appear to point to Amazon while sending you somewhere else. It can also pass through tracking links, redirects or look-alike pages. That is why you should avoid signing in through any account warning email.
120,000 FAKE SITES FUEL AMAZON PRIME DAY SCAMS
Scammers are impersonating Amazon with convincing account alerts designed to capture login credentials, payment details and personal documents. (Photographer: Michael Nagle/Bloomberg via Getty Images)
What happens if you click a fake Amazon link
If you click the link, you may land on a fake Amazon sign-in page. It may look close enough to fool you. Once you enter your email and password, scammers can try to access your real Amazon account. They may check your saved payment methods, shipping addresses and order history.
They may also try that same password on other websites. That becomes a bigger risk if you reuse passwords.
The document request adds another layer of danger. If a fake page asks for your ID, scammers could use that information for identity theft, account takeovers or other fraud. That is why one quick click can turn into a much bigger mess.
Ways to stay safe from fake Amazon emails
A fake Amazon email can look convincing at first, so the best move is to slow down and use these simple checks before you click, sign in or share anything.
1) Do not click the sign-in button
Skip buttons like “Sign In to Verify,” “View details” or “Restore access.” Open the Amazon app or type Amazon.com into your browser yourself.
2) Check Amazon’s Message Center
After signing in directly, go to Your Account > Message Center. If the alert is real, you should see a matching message there.
3) Watch for pressure language
Scammers often say your account is locked, your orders were canceled, or you must act right away. That pressure is designed to make you click before thinking.
4) Never upload ID through an email link
If an email asks for a passport, driver’s license or other document, stop. Contact Amazon through the app or website before sending anything.
5) Use a password manager
A password manager can help you spot fake login pages. If the page is fake, your saved Amazon password usually will not autofill. Check out the best expert-reviewed password managers of 2026 at CyberGuy.com.
6) Turn on two-step verification
7) Use strong antivirus software
Install strong antivirus software on your computer, phone and tablet. Good security software can help detect malicious links, phishing pages, malware and other threats before they do damage. This is especially important if you clicked a suspicious link or downloaded anything from a fake email. Security software should back up your smart habits, not replace them. Get my picks for the best 2026 antivirus protection winners for your Windows, Mac, Android and iOS devices at CyberGuy.com.
8) Use a data removal service
Scammers often build more convincing attacks with information they find about you online. That can include your name, address, phone number, relatives, old usernames and other personal details from people-search sites and data brokers. A data removal service can help remove your personal information from many of those sites. That makes it harder for scammers to personalize phishing emails and identity theft attempts. Check out my top picks for data removal services and get a free scan to find out if your personal information is already out on the web by visiting CyberGuy.com.
9) Report the suspicious email
Forward suspicious Amazon emails to reportascam@amazon.com. Then delete the message from your inbox or junk folder.
JANUARY SCAMS SURGE: WHY FRAUD SPIKES AT THE START OF THE YEAR
Cybersecurity experts warn consumers to avoid clicking links in Amazon account warning emails and verify alerts directly through Amazon. (David Paul Morris/Bloomberg via Getty Images)
Kurt’s key takeaways
Prime Day is a great time to find real deals, but it is also a busy season for fake Amazon emails. Scammers know shoppers are checking delivery updates, watching for discounts and hoping nothing gets in the way of a good buy. That is what made this email so sneaky. It used a familiar fear at the perfect moment: losing access to your account right before a major sale. The safest move is to slow down before you click. Do not trust the button. Do not trust the sender name alone. Open the Amazon app or type Amazon.com into your browser and check your account yourself.
Have you ever received an email that looked official enough to make you click, and what finally made you stop? Let us know by writing to us at CyberGuy.com.
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HOW TO DETECT FAKE AMAZON EMAILS AND AVOID IMPERSONATION SCAMS
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Anthropic just released Claude Fable 5, calling it the most powerful AI model it has ever made widely available and praising its skills in biology, among others. But the model won’t answer basic biology questions — the kind you’d expect a high schooler to handle. Instead, it hands off the query to the former flagship model, Claude Opus 4.8.
It isn’t because Fable doesn’t know the answers. It’s because Anthropic won’t let it, by design.
Fable is a public-facing, Mythos-class model, a family so capable at cybersecurity tasks Anthropic said it was too dangerous to release publicly. But while Anthropic has spent much of the extended Mythos rollout warning about cybersecurity, it is biology where Fable’s guardrails are the most obvious — and most limiting.
When I tried the model, it refused to answer a range of basic biology questions, many that felt about as far away from any plausible safety risk as any question could be. It would not respond to “tell me about cell membranes” or answer “what are mitochondria,” that famous powerhouse of the cell. It refused to explain “what is a prion,” the proteinaceous particles behind mad cow disease, or “how mRNA vaccines work.”
“We made this tradeoff so customers could benefit from the model’s capabilities sooner without the risks.”
The restrictions applied to ordinary and objectively rather harmless medical queries too. Fable would not answer “what causes hay fever,” explain how asthma medicine works, explain how antibiotic resistance arises, or tell me what Ebola is and how it spreads. Some of my basic queries occasionally got through, with Fable answering questions like “what is cancer” and “what is DNA.” When Fable refused, Opus 4.8 generally answered perfectly well.
Anthropic says the broad biology filters are an intentional choice and are deliberately conservative, with bioweapons the primary concern. “With the launch of Claude Fable 5, our first Mythos-class model, we believe models now have a greater ability to accomplish real-world scientific tasks and for malicious actors to potentially use our models for highly risky biological research,” spokesperson Paruul Maheshwary told The Verge. “We have always used classifiers to block our models from helping with bioweapons-related requests. To deploy Fable 5 safely, we believe it was necessary to be overly conservative with our safeguards so they block most queries tied to biology work.”
Anthropic has previously highlighted four key areas where it would throttle Fable’s responses for safety: chemistry, biology, cybersecurity, and distillation, a technique for training smaller AIs using the outputs of larger ones. The company has accused Chinese rivals like DeepSeek of using distillation on its models on an “industrial” scale.
While I could not meaningfully test distillation, Fable seemed more willing to answer questions about chemistry and cybersecurity. For example, it gave a basic overview of the explosive TNT, though withheld synthesis instructions “for obvious reasons.” It readily answered questions on the use of chlorine gas as a chemical weapon, common password threats, and nuclear fusion and fission, as well as explaining how to secure an iPhone from hackers. It still limits: Fable deferred to Opus when I asked it about sarin gas, a highly toxic nerve agent. Fable and Opus both refused the prompt “how to make anthrax,” and Claude paused the chat entirely. That made sense. The mitochondria prompt refusal seems like a false positive.
“We made this tradeoff so customers could benefit from the model’s capabilities sooner without the risks,” Maheshwary explained, adding that Anthropic is working hard to improve its detection and reduce the false positives. “We intend to make Mythos-class models available without these safeguards to the broader biology and life sciences community so these capabilities can be used to accelerate biomedical research and drug discovery.”
Anthropic did not answer questions about whether this kind of restricted release will become the new norm for future models.
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