Here’s the story of how a quirky toy transformed into a worldwide phenomenon.
Updated
November 27, 2025 3:26 PM
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Labubu vinyl figure displayed with surprise blind boxes in a store in Guayaquil, Ecuador. PHOTO: ADOBE STOCK
Trends move fast. One moment it's Dubai’s viral “Kunafa” chocolate bar, the next it’s Labubu—a mischievous-looking doll—racks up US$670 million in revenue this year, even outpacing Barbie and Hot Wheels. Celebrities like BLACKPINK’s Lisa and Dua Lipa have been spotted with Labubu dolls—whether as bag charms or in playful social posts.
For those unfamiliar, Labubu is the breakout character from the book series“The Monster” by Hong Kong-born, Belgium-based artist Kasing Lung. Alongside Labubu, the series features other quirky monsters like Zimomo, Mokoko and Tycoco—often grouped together as “Labubus”. These vinyl Labubu figures first entered the collectible scene in 2011 as “Monsters”, produced by Hong Kong-based production house How2Work. In 2019, Lung signed an exclusive licensing deal with Pop Mart, a Beijing-based toy collectible company, which further boosted the recognition and popularity of the franchise.
At first glance, Labubu might seem like just another fad. But the craze shows something deeper: in digital marketing, virality doesn’t happen by accident. It’s the result of timing, relatability and the rway global communities amplify trends.
So, what can marketers learn from the Labubu phenomenon? Let’s take a closer look.
Labubu’s unconventional aesthetics—a notorious grin, sharp teeth and wide eyes—break the traditional mold of “cute” toys. The social listening report from Meltwater, a media intelligence company reveals that from January to May 2025, mentions of “cute” outnumbered “ugly” nearly five to one. This “ugly-cute” look gave Labubu its identity and helped it stand out in a crowded market.
Marketing lesson: In a world of where everything blends together on endless feeds, uniqueness wins. Standing out with bold, even unconventional design choices can spark curiosity and desire. By leaning into what makes a product different, brands create instant recognition and give people something worth talking about.
Labubu’s surge in popularity is deeply rooted in Pop Mart’s focus on building genuine relationships with its fans. The company encourages user-generated content— unboxings, fan art, influencer stories—that fueled Labubu’s spread online and build brand engagement. Fans weren’t just buying toys; they were becoming part of a community that celebrated each new design.
Marketing lesson: Customers don’t want to feel like faceless buyers. They want to feel seen, heard and part of something bigger. By encouraging engagement and valuing contributions, brands can turn casual customers into loyal advocates who spread the word on their behalf.
While Pop Mart notes Labubu is most popular among women aged 18–30, its audience has broadened beyond that group. The design draws on influences from Nordic mythology and East Asian “kawaii” culture, making it feel both familiar and new to global audiences.
For Millennials and Gen Xers, Labubu also sparks nostalgia for toy crazes like Tickle Me Elmo and Beanie Babies that once lit up childhoods before fading away. Together, these layers of cultural resonance and cross-generational charm give Labubu an unusually broad reach.
Marketing lessons: Relatability is a powerful driver of virality. When a product can connect across generations and cultures, it expands far beyond a niche fan base. Brands that blend familiarity with novelty can build bridges to much larger audiences.
Labubu’s blind box model makes buying feel like a game. The thrill of not knowing which design you’d unwrap made collecting Labubus fun. It also turns buying into an emotional experience rather than a rational choice, fueling the urge to complete entire collections.
Besides, the suspense itself became content—millions watched unboxing videos to share in the excitement. Even BLACKPINK’s Lisa admitted she began with “only three to four” Labubus but soon wanted “a whole box” of the latest collection.
Marketing lesson: Mystery creates excitement, and excitement drives repeat purchases. By adding an element of surprise, brands can make the buying experience feels less like a transaction and more like a story unfolding. That thrill keeps customers coming back and makes the product easy to share online.
Pop Mart releases Labubus in limited drops, often tied to holidays or cultural events. Some editions include ultra-rare “chase” figures—appearing only once in every 144 boxes—creating a strong sense of urgency and fear-of-missing out (FOMO) among buyers. This strategy fuels a booming resale market, where regular figures retailing at US$25 can sell for US$200–US$300, and rare editions have even fetched prices up to US$150,000.
Marketing lessons: Scarcity isn’t just about limiting supply—it’s about building anticipation. By tying releases to events and sprinkling in rare editions, brands keep fans watching for the next drop. This combination of urgency and exclusivity transforms ordinary products into must-have collectibles.
Labubu has expanded its reach through creative brand collaborations. For instance, the Labubu x Coca-Cola series features figures in iconic red-and-white themes, while a Vans Old Skool drop merged streetwear in the clothing brand’s notable checkerboard pattern with collectibles. The One Piece collaboration blended Labubu’s quirky style with beloved anime heroes, appealing to fans of both worlds.
Marketing takeaway: Collaborations breathe fresh life into a brand and open doors to new audiences. Partnering with well-known names adds cultural weight and collectible value, while keeping the brand relevant in different communities. Done right, collaborations turn niche products into mainstream sensations.
Labubu’s phenomenal success is more than a passing craze. It’s proof that bold design, authentic community building, clever scarcity and cultural collaborations can transform a quirky idea into a global movement.
For marketers, the takeaway is simple: don’t just chase trends—create something real and let your community shape the story with you. Be bold, stay authentic and bring your fans along for the ride. That’s how brands move from fleeting hype to lasting cultural icons.
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A step forward that could influence how smart contracts are designed and verified.
Updated
November 27, 2025 3:26 PM

ChainGPT's robot mascot. IMAGE: CHAINGPT
A new collaboration between ChainGPT, an AI company specialising in blockchain development tools and Secret Network, a privacy-focused blockchain platform, is redefining how developers can safely build smart contracts with artificial intelligence. Together, they’ve achieved a major industry first: an AI model trained exclusively to write and audit Solidity code is now running inside a Trusted Execution Environment (TEE). For the blockchain ecosystem, this marks a turning point in how AI, privacy and on-chain development can work together.
For years, smart-contract developers have faced a trade-off. AI assistants could speed up coding and security reviews, but only if developers uploaded their most sensitive source code to external servers. That meant exposing intellectual property, confidential logic and even potential vulnerabilities. In an industry where trust is everything, this risk held many teams back from using AI at all.
ChainGPT’s Solidity-LLM aims to solve that problem. It is a specialised large language model trained on over 650,000 curated Solidity contracts, giving it a deep understanding of how real smart contracts are structured, optimised and secured. And now, by running inside SecretVM, the Confidential Virtual Machine that powers Secret Network’s encrypted compute layer, the model can assist developers without ever revealing their code to outside parties.
“Confidential computing is no longer an abstract concept,” said Luke Bowman, COO of the Secret Network Foundation. “We've shown that you can run a complex AI model, purpose-built for Solidity, inside a fully encrypted environment and that every inference can be verified on-chain. This is a real milestone for both privacy and decentralised infrastructure”.
SecretVM makes this workflow possible by using hardware-backed encryption to protect all data while computations take place. Developers don’t interact with the underlying hardware or cryptography. Instead, they simply work inside a private, sealed environment where their code stays invisible to everyone except them—even node operators. For the first time, developers can generate, test and analyse smart contracts with AI while keeping every detail confidential.
This shift opens new possibilities for the broader blockchain community. Developers gain a private coding partner that can streamline contract logic or catch vulnerabilities without risking leaks. Auditors can rely on AI-assisted analysis while keeping sensitive audit material protected. Enterprises working in finance, healthcare or governance finally have a path to adopt AI-driven blockchain automation without raising compliance concerns. Even decentralised organisations can run smart-contract agents that make decisions privately, without exposing internal logic on a public chain.
The system also supports secure model training and fine-tuning on encrypted datasets. This enables collaborative AI development without forcing anyone to share raw data—a meaningful step toward decentralised and privacy-preserving AI at scale.
By combining specialised AI with confidential computing, ChainGPT and Secret Network are shifting the trust model of on-chain development. Instead of relying on centralised cloud AI services, developers now have a verifiable, encrypted environment where they keep full control of their code, their data and their workflow. It’s a practical solution to one of blockchain’s biggest challenges: using powerful AI tools without sacrificing privacy.
As the technology evolves, the roadmap includes confidential model fine-tuning, multi-agent AI systems and cross-chain use cases. But the core advancement is already clear: developers now have a way to use AI for smart contract development that is fast, private and verifiable—without compromising the security standards that decentralised systems rely on.