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2026-01-30 10:00:00| Fast Company

Back on February 6th, 2017, a teenaged Sabrina Carpenter tweeted, Is there a way to look attractive while eating Pringles asking for a friend.  Is there a way to look attractive while eating Pringles asking for a friend— Sabrina Carpenter (@SabrinaAnnLynn) February 6, 2017 Now, nine years later, the pop star is doing exactly thatin the brands Super Bowl ad campaign. Created by agency BBDO New York, the teaser shows Carpenter treating her Pringles like a flower bouquet, plucking chips while saying, He loves me, he loves me not . . .  For Pringles, the spot represents the perfect formula for celebrity partnership. Our partner talent has to be a genuine brand fan! says Sarah Reinecke, senior vice president of Mars Snackings salty portfolio and brand, which oversees Pringles. Sabrina is the biggest thing in culture right now and is a fan of Pringles, so having the opportunity to work with her and engage her fan base in all the fun we have planned for the big game is an exciting partnership that hits all the right factors for us. Pringles’ celebrity strategy Pringles is no stranger to the celebrity Super Bowl ad game. The brand tapped Meghan Trainor in 2023, Chris Pratt in 2024, and last year, a seemingly random collection of stars like James Harden, Adam Brody, and Nick Offerman. But Reinecke says the brand’s strategy isnt some game of big name roulette.  Each partnership has sharpened our approach, she says. Weve learned that the most effective talent isnt just recognizableit has to authentically align with both the audience and the brands voice.” Reinecke points to Carpenter as an example of this. “She connects deeply with Gen Z while naturally embodying the self-aware, unhinged internet humor that defines how the brand shows up today,” Reinecke says. “The partnership has really embodied a shared sense of play, which we hope ultimately makes it resonate with our fans. Beyond the Game Given the level of investment required to just get a spot in the game, most brands now extend Super Bowl-related work to run long before and after the final whistle. For Pringles, that means tying its work with Carpenter into an existing campaign that launched last fall to resurrect its 90s ad slogan Once You Pop. Pringles Super Bowl teaser was one of the first to drop back on January 14th. Reinecke says that they knew partnering with someone like Carpenter would spark a ton of conversation, so the goal was to capitalize early and often in order to allow the brand to be at the center of the conversation for as long as possible.  That level of conversation and enthusiasm is a key metric for the brand. Of course, we would be lying if we said we didnt care about ROI and metrics, says Reinecke. Its incredibly important for us to measure success across both the marketing funnel and the impact on business. But while reach is important, what may be even more important is how much people care. So, we track everything from awareness, consideration, sentiment and purchase intent, and our impact to go beyond where a snack brand is expected to show up.  Celebrity Q&A There are three key questions every marketer should ask themselves before deciding whether to use celebrity talent and who to choose for a Super Bowl ad, according to Reinecke: Does the partnership feel authentic to the brand and relevant to the audience youre going after? The face of the campaign on one of the largest stages in brand marketing of the year is a crucial piece, according to Reinecke. How will this ad positively impact the business? For us, the Big Game is the biggest snacking occasion of the year, so having a presence directly ties back to business objectives, she says. Does the partnership have the potential to expand beyond the game? While the move to social media as a newsfeed grows, think about how the partnership and creative could extend to the small screen, and relevant ways to tap into the narrative your brand builds with your partner beyond game day, Reinecke adds. 


Category: E-Commerce

 

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2026-01-30 09:30:00| Fast Company

At least three-quarters of the speaking invitations I get these days are about AI. But lately, theyre for different reasons. Companies used to bring me in under the assumption that artificial intelligence was going to change everything. So theyd ask me to talk about the jobless future, prompt engineering, or automating marketing online. Today, theyre asking a different kind of question: What went wrong? Where are the promised productivity gains? In other words, why isnt AI helping our company do stuff?  And if I were to answer honestly, Id tell them the simple truth: Its because you and your people dont know what you want to do with it! This is not a technology problem or even a people problem, but an organizational one. Most companies are trying to run 21st-century AI-enabled companies on 20th-century industrial age architectures. The goals and the values are simply not aligned.  {"blockType":"mv-promo-block","data":{"imageDesktopUrl":"https:\/\/images.fastcompany.com\/image\/upload\/f_webp,q_auto,c_fit\/wp-cms-2\/2025\/10\/adus-labs-16x9-1.png","imageMobileUrl":"https:\/\/images.fastcompany.com\/image\/upload\/f_webp,q_auto,c_fit\/wp-cms-2\/2025\/10\/anduslabs.png","eyebrow":"","headline":"Get more insights from Douglas Rushkoff and Andus Labs.","dek":"Keep up to date on the latest trends on how AI is reshaping culture and business, through the critical lens of human agency.","subhed":"","description":"","ctaText":"Learn More","ctaUrl":"https:\/\/www.anduslabs.com\/perspectives","theme":{"bg":"#1a064b","text":"#ffffff","eyebrow":"#9aa2aa","subhed":"#ffffff","buttonBg":"#ffffff","buttonHoverBg":"#3b3f46","buttonText":"#000000"},"imageDesktopId":91420531,"imageMobileId":91420530,"shareable":false,"slug":""}} Weak returns The failure of AI to increase productivity isnt just cherry-picked anecdote or idle speculation. According to Microsofts own study, only 25% of AI initiatives achieved expected returns over the past three years. Computer scientist Gary Marcus has been writing about the hype and misplaced hope around large language models (LLMs) for just as long. But the problem here is not that AI cant do great stuff; its that organizations are not yet thinking in a human-first way about technology.  Its what Chris Perry, my partner at Andus, calls the Human OS. Companies are trying to integrate AI into their existing workflows without considering the human systems that can not only utilize it, but also grow and improve with it. This means more than training workers on AI interfaces or running trials of AI-derived ads. It means remaking the very structure of your organization around these new opportunities.  Its a transition less technologically focused than the term OS may imply. You dont reprogram your workforce around the needs of AI. Rather, you develop a different kind of workplace. Who thought up how a bank works, with a safe in the back and tellers behind special windows? It was a way of creating an interface between lenders and borrowers in a new economic system. Now it seems obvious. Or take the grocery store, with aisles, shopping carts, and cashiers. It is an operating system designed to allow humans to browse, gather, purchase, or even socialize (in the fruit section). These are architectures for human interaction under capitalism and then industrial production. And they worked, largely because the people designing them were taking the human consumers into mind.   Lessons from the Industrial Age  We dont generally devise our operating systems for labor with the same considerations for the people trying to function within them. Industrial age values of efficiency and productivity led to the assembly line, the sweatshop, and the typing pool. These are environments in which humans are cogs in a machine, and the more repeatable and uniform their tasks, the better.  If anything, the values of the industrial age were to remove human beings from the value equation altogether. Assembly lines allowed for unskilled, replaceable workers to replace higher-paid craftspeople. New machines were always valued for their ability to replace labor, or at least allow labor to be outsourced to less expensive labor in Asia.  This approach to new technology wont work in the age of AI. And even talking this way will make workers less likely to consider the possibility that you are trying to do anything other than replace them with this stuff. You are trying to augment instead of replace them, right? I sure hope so, because the alternativea world where you are using AIs instead of peoplemeans your only competitive advantage is the size of your contract with the AI company.  Moving from “more to better” Assuming you are on Team Human here, then the object of the game is to help your people come to terms with how their own capabilities can be enhanced with this stuff. Sure, they can churn out more PowerPoints or spreadsheets in an hour, but thats not the enhancement on offer here. The possibility is for them to do categorically better, more considered, and more developed work. Instead of using AI to create more volume of what already is (industrial age efficiency), what about using it to help imagine what does not yet exist?  Again, this is the opposite of industrial age repeatability and workforce reduction. We have that one down. Its time to move on from more to better. But to do that, your company needs to retrieve its core competencies, rediscover its values, and reclaim its culture. Oddly enough, this is the real AI opportunity: to double down on the human creativity driving your enterprise. Its the very opposite of what weve been doing with technology until recently.  But this means building a different kind of human readiness into the very architecture of your organization. You can buy a bunch of AI capabilities, but you need to match them with human processes that can benefit from them in real and sustainable ways over time. It will take more than one article to explain how that works, because it covers everything from talent development and workflows to rituals and incentives.  For now, think of it this way: Machines process data fast and accurately. Humans dont process so much as respirate and metabolize. In a successful organization, these two functionsprocessing and metabolizingcan support each other. The way to get there is not simply to buy more AI capability and work on training, but to engage with your people in a way in which they know what they want to do better. They must understand that their nervous systems and sensibilities are going to be valued and trusted as they explore uncharted territory, and that their explorations are being integrated into the companys institutional memorywhatever their apparent contribution to growth or efficiency.  {"blockType":"mv-promo-block","data":{"imageDesktopUrl":"https:\/\/images.fastcompany.com\/image\/upload\/f_webp,q_auto,c_fit\/wp-cms-2\/2025\/10\/adus-labs-16x9-1.png","imageMobileUrl":"https:\/\/images.fastcompany.com\/image\/upload\/f_webp,q_auto,c_fit\/wp-cms-2\/2025\/10\/anduslabs.png","eyebrow":"","headline":"Get more isights from Douglas Rushkoff and Andus Labs.","dek":"Keep up to date on the latest trends on how AI is reshaping culture and business, through the critical lens of human agency.","subhed":"","description":"","ctaText":"Learn More","ctaUrl":"https:\/\/www.anduslabs.com\/perspectives","theme":{"bg":"#1a064b","text":"#ffffff","eyebrow":"#9aa2aa","subhed":"#ffffff","buttonBg":"#ffffff","buttonHoverBg":"#3b3f46","buttonText":"#000000"},"imageDesktopId":91420531,"imageMobileId":91420530,"shareable":false,"slug":""}}


Category: E-Commerce

 

2026-01-30 09:30:00| Fast Company

A major winter storm is expected to bring heavy snow to parts of the East Coast this weekend. Amid freezing temperatures, many will be hunkering down and sipping hot cocoa by the fire or trying out new warming winter recipes.  Others will be getting creative with an ingredient that wont be in short supply: snow.  First snow of the year means SNOW CREAM, one TikToker posted earlier this month. This is literally my childhood, another wrote in the caption of her video, combining fresh snow with milk, sugar, and vanilla to make a bowl of dessert.  Other snow-based recipes that have gone viral in light of the recent weather include using snow as a way to freeze ice cream, adding whipped cream, vanilla, and icing sugar to a mixing bowl pressed into the snow. Another is sugar on snow, also known as maple taffy, made by pouring hot maple syrup directly onto snow and rolling it onto a stick for a simple cold-weather treat. While many of these concoctions arent new, comments online are mixed. Ohhhh girlfriend you’re not supposed to make snow cream with the first snow of the season, one warned. Another wrote, Hey so I saw an under the microscope of snow and Id just put that back on the ground. These fears arent entirely unfounded. The National Snow and Ice Data Center suggests avoiding ingesting the first layer of snow covering the ground. “As snow falls through the sky, it can lock in pollutants into its intricate latticework. The most common is black carbon from coal-fired plants and wood-burning stoves, the organization explains. Snow acts like a scrubbing brush as it falls through the atmosphere. So, the longer the snow falls, the cleaner the air, and also the snow.”  If you do want to try your hand at making snow cream this weekend, avoid any discolored or yellow-tinged snow (for obvious reasons) and anything that could have been in contact with chemicals, such as salt or ice melt. City snow is also more likely to be contaminated than rural snow. If you live in Manhattan, perhaps you should sit this one out.


Category: E-Commerce

 

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