Here’s the story of how a quirky toy transformed into a worldwide phenomenon.
Updated
January 8, 2026 6:35 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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The IT services firm strengthens its collaboration with Google Cloud to help enterprises move AI from pilot projects to production systems
Updated
February 18, 2026 8:11 PM

Google Cloud building. PHOTO: ADOBE STOCK
Enterprise interest in AI has moved quickly from experimentation to execution. Many organizations have tested generative tools, but turning those tools into systems that can run inside daily operations remains a separate challenge. Cognizant, an IT services firm, is expanding its partnership with Google Cloud to help enterprises move from AI pilots to fully deployed, production-ready systems.
Cognizant and Google Cloud are deepening their collaboration around Google’s Gemini Enterprise and Google Workspace. Cognizant is deploying these tools across its own workforce first, using them to support internal productivity and collaboration. The idea is simple: test and refine the systems internally, then package similar capabilities for clients.
The focus of the partnership is what Cognizant calls “agentic AI.” In practical terms, this refers to AI systems that can plan, act and complete tasks with limited human input. Instead of generating isolated outputs, these systems are designed to fit into business workflows and carry out structured tasks.
To make that workable at scale, Cognizant is building delivery infrastructure around the technology. The company is setting up a dedicated Gemini Enterprise Center of Excellence and formalizing an Agent Development Lifecycle. This framework covers the full process, from early design and blueprinting to validation and production rollout. The aim is to give enterprises a clearer path from the AI concept to a deployed system.
Cognizant also plans to introduce a bundled productivity offering that combines Gemini Enterprise with Google Workspace. The targeted use cases are operational rather than experimental. These include collaborative content creation, supplier communications and other workflow-heavy processes that can be standardized and automated.
Beyond productivity tools, Cognizant is integrating Gemini into its broader service platforms. Through Cognizant Ignition, enabled by Gemini, the company supports early-stage discovery and prototyping while helping clients strengthen their data foundations. Its Agent Foundry platform provides pre-configured and no-code capabilities for specific use cases such as AI-powered contact centers and intelligent order management. These tools are designed to reduce the amount of custom development required for each deployment.
Scaling is another element of the strategy. Cognizant, a multi-year Google Cloud Data Partner of the Year award winner, says it will rely on a global network of Gemini-trained specialists to deliver these systems. The company is also expanding work tied to Google Distributed Cloud and showcasing capabilities through its Google Experience Zones and Gen AI Studios.
For Google Cloud, the partnership reinforces its enterprise AI ecosystem. Cloud providers can offer models and infrastructure, but enterprise adoption often depends on service partners that can integrate tools into existing systems and manage ongoing operations. By aligning closely with Cognizant, Google strengthens its ability to move Gemini from platform capability to production deployment.
The announcement does not introduce a new AI model. Instead, it reflects a shift in emphasis. The core question is no longer whether AI tools exist, but how they are implemented, governed and scaled across large organizations. Cognizant’s expanded role suggests that execution frameworks, internal deployment and structured delivery models are becoming central to how enterprises approach AI.
In that sense, the partnership is less about new technology and more about operational maturity. It highlights how AI is moving from isolated pilots to managed systems embedded in business processes — a transition that will likely define the next phase of enterprise adoption.