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For most of my career at LOréal, I sold confidence in a tube: lipstick. But lipstick isnt just about applying color to your lips. Its about identity. Ritual. Power. Beauty has never been superficial. Its always been about self-esteem, self-confidence, and self-expression, knowing that how youre feeling inside is reflected on the outside. Today, the boldest expression of that confidence comes from beyond the makeup bag: Its a full nights sleep working with a skincare routine, balanced hormones supporting a healthy glow, nutrients fueling both energy and radiance, and gut health supporting complexion. The truth is simple: Health is the new lipstick. Health amplifies beauty, and beauty reflects health. HEALTH AND BEAUTY: ONE SYSTEM Beauty and health have always been collaborators, even when industries treated them separately. Both are rooted in science, innovation, and empathy. And both rely on trust, with the aim of helping people feel good in their bodies and confident in their lives. Its not a coincidence that the same ingredients work in products from both sectors. Hyaluronic acid hydrates skin while supporting joint comfort and gum health. Collagen strengthens hair, nails, skin, and bones. Omega-3s reduce inflammation that affects both your complexion and your cardiovascular system. Vitamin C brightens skin while boosting immunity. Consumers already see what brands are beginning to acknowledge: Health and beauty are inseparable. Their retinol serum sits next to their vitamins in the medicine cabinet. They use SPF and track their vitamin D. They meditate and hydrate, move their bodies and manage stressnot as separate rituals, but as one integrated practice of self-care. Younger generations, especially Gen Z, are leading this shift. For them, wellness is identity and self-expression. Their routines blend skincare with supplements, mindfulness with makeup. They dont distinguish between looking good and feeling goodboth are expressions of confidence and authenticity. This mindset is reshaping how the health and beauty industries must operate, not just as parallel markets, but as two sectors converging into a single wellness ecosystem. A CALL-TO-ACTION FOR BRANDS Its time for us not to redefine wellness but embrace it in its entirety. Our consumers arent just investing in their well-being, theyre investing in confidence, energy, and vitality that cant be replicated by the latest shade. That means that as leaders of health, wellness, and beauty brands, we must: 1.Celebrate holistic confidence. Emphasize that outer beauty and inner well-being are inseparable pieces of the same puzzle. 2. Invest in inclusive science. Diverse clinical research ensures that efficacy and safety reflect every skin tone, identity, and body typeand empowers each consumers sense of self. 3. Measure what matters. Lets show impact not just in numbers, but in the confidence, comfort, and care we help people achieve. 4. Align, not compare. Beauty and health brands can share insights, language, and purpose to meet people where their needs intersect. As brands, we should be guided by the consistent actions consumers follow when developing new products: fueling their body with the right nutrients, getting a good nights sleep, managing pain before it interferes with life, and yes, applying that favorite shade of lipstick before stepping out the door. When health and beauty work in harmony, confidence isnt just worn, its lived. Nathalie Gerschtein is the CEO USA and president North America of Haleon.
Category:
E-Commerce
If youre thinking of buying your kid a talking teddy bear, youre likely envisioning it whispering supportive guidance and teaching about the ways of the world. You probably dont imagine them engaging in sexual roleplayor giving advice to toddlers about how to light matches. Yet thats what consumer watchdog the Public Interest Research Group (PIRG) found in a recent test of new toys for the holiday period. FoloToys AI teddy bear Kumma, which uses OpenAIs GPT-4o model to power its speech, was all too willing to go astray when in conversation with kids, PIRG found. Using AI models voice mode for childrens toys makes sense: The tech is tailor-made for the magical tchotchkes that children love, slipping easily onto shelves alongside lifelike dolls that poop and burp, and Tamagotchi-like digital beings that kids want to try and keep alive. The problem is that unlike previous generations of toys, AI-enabled gizmos can veer beyond carefully pre-programmed and vetted responses that are child-friendly. The issue with Kumma highlights a key problem with AI-enabled toys: They often rely on third-party AI models that they dont have control over, and which inevitably can be jailbrokeneither accidentally or deliberatelyto cause child safety headaches. There is very little clarity about the AI models that are being used by the toys, how they were trained and what safeguards they may contain to avoid children coming across content that is not appropriate for their age, says Christine Riefa, a consumer law specialist at the University of Reading. Because of that, childrens-rights group Fairplay issued a warning to parents ahead of the holiday season to suggest that they stay away from AI toys for the sake of their childrens safety. Theres a lack of research supporting the benefits of AI toys, and a lack of research that shows the impacts on children long-term, says Rachel Franz, program director at Fairplays Young Children Thrive Offline program. While FoloToy has stopped selling the Kumma and OpenAI has pulled FoloToys access to its AI models, thats just one AI toy manufacturer among many. Whos liable if things go wrong? Riefa says theres a lack of clarity here, too. Liability issues may concern the data and the way it is collected or kept, she says. It may concern liability for the AI toy pushing a child to harm themselves or others, or recording bank details of a parent. Franz worries thatas with big tech companies racing to one-up each other the stakes are even higher when it comes to child products by toy firms. It’s very clear that these toys are being released without research nor regulatory guardrails, she says. Riefa can see both the AI companies providing the models that help toys talk and the toy companies marketing and selling them to children being liable in legal cases. As the AI features are integrated into a product, it is very likely that liability would rest with the manufacturer of the toy, she says, pointing out that there would likely be legal provisions within the contracts AI companies have that shield them from any harm or wrongdoing. This would therefore leave toy manufacturers who, in fact, may have very little control over the LLMs employed in their toys, to shoulder the liability risks, she adds. But Riefa also points out that while the legal risk lies with the toy companies, the actual risk fully rests with the way the LLM behaves, which would suggest that the AI companies also bear some responsibility. Its perhaps that which has caused OpenAI to push back its AI toy development with Mattel this week. Understanding who really will be liable and to what extent is likely to take a little while yetand legal precedent in the courts. Until thats sorted out, Riefa has a simple suggestion: One step we as a society, as those who care for children, can do right now is to boycott buying these AI toys.
Category:
E-Commerce
For 50 years, Americas generosity has been stuck in neutral with charitable giving frozen at 2.5% of GDP. But not because people stopped caring. In 2024, total giving hit record highs, and food banks saw donations surge as families faced delays in SNAP benefits. The heart is there. Whats missing is technology that turns generosity into lasting impact. We cant solve todays biggest problems, from food insecurity to climate change to health inequity, without unlocking the full potential of AI. For the first time, technology connects data across causes, predicts needs before they arise, and turns generosity into measurable progress. If generosity is the fuel, AI is the engine. As we look to reignite that engine, the clear path forward is to empower the social good ecosystem with smarter, more human technology. Enter the Generosity Generation. Its not an age group, but a global movement of people across every generation using innovation to turn compassion into scale. The movement is built on the belief that connection beats competition, collaboration beats control, and impact grows when information flows freely. Achieving that scale requires a shift in how technology serves people. The next leap wont come from software that asks humans to do more work, but from AI that helps them do more good. Human-led AI doesnt replace purpose; it amplifies it. Its how we break 50 years of stagnation and build a more generous world. THE HIDDEN COST OF SOFTWARE IN THE SOCIAL SECTOR Software is meant to save time. Instead, for many organizations, it feels like one more task to manage before the real work begins. In the corporate world, software transforms productivity. In the social sector, those same gains often require a level of investment, in time, training, and expertise, that smaller nonprofits cant afford. Every new platform promises efficiency, but the cost of setup and maintenance may outweigh the benefits. Time meant for impact gets traded for time spent logging impact. Picture a grant-writing team adopting a streamlined new tool. Weeks later, theyre back in spreadsheets because the learning curve was too steep, the data entry too heavy, the payoff too slow. Agentic AI works quietly in the background, scanning thousands of grant opportunities overnight, drafting proposals, surfacing insights, and freeing people to do hands-on work: building relationships, telling stories, and driving missions forward. Thats the real shift, from software that creates work to software that creates capacity. But transformation doesnt start with automation. It starts with trust. And thats where every organization, from a grassroots nonprofit to a Fortune 500, must now lead. TRUST: THE REAL METRIC FOR AI AIs most important metric isnt speed or scale. Its trust. Even the most tech-oriented nonprofits must ensure that the tools they use reflect their own values: transparency, security, and accountability. In the social sector, trust is currency. For nonprofits, a single breach undermines years of donor confidence. For companies, it erodes brand equity overnight. Across every mission-driven organization, trust is the shared foundation, and every tool must protect it. Thats why human-led AI matters. Agentic systems act, recommend, and adapt, but they should never act alone. Keeping people in the loop ensures every decision reflects human judgment, not just machine logic. When AI earns that trust, the impact multiplies. Fundraisers find the right message faster. Corporate teams see where volunteer hours matter most. Foundations match funding in days, not months. And when its guided by transparency and accountability, AI not only protects trust, but deepens it. WHEN AI ELEVATES HUMAN IMPACT Data has always told us what happened. AI finally shows us whats possible. In the nonprofit world, every community, cause, and donor is different. Yet, most tools still offer one-size-fits-all answers. Agentic AI changes that by turning data into understanding, helping every organization communicate with its community in the language of shared values, rather than generic outreach. For decades, personalization has helped businesses build trust with customers. Now, it helps the social sector establish trust with its constituents. Because personalization here isnt about selling more, its about seeing more: who needs help, what inspires them, and where generosity has the most impact. The real turning point is when understanding shifts into empathy, and that empathy fuels action. When data builds transparency, people engage. When they engage, generosity grows. Thats how trust translates into impact. Pair human purpose with autonomous tools, and giving doesnt just scale, it transforms. Thats how we turn information into action, and generosity into a movement. Across every generation, people want to do more good. Now they finally have the means to do it. Human-led AI gives us back what every mission needs most: time, connection, and trust. Imagine if Americas giving rate rose by just half a point, from 2.5% to 3%. That single shift would unlock $141 billion in new annual giving. Enough to lift every American above the poverty line. Enough to make college tuition-free. Enough to prove whats possible when technology empowers human purpose instead of replacing it. Thats the power of the Generosity Generation, proving that when human purpose meets the right technology, possibility becomes progress. Whether you lead a nonprofit, a foundation, or a Fortune 500 CSR team, your mission is the same: turn information into measurable action. Use technology not to automate generosity, but to amplify it. AI wont build the Generosity Generation. People will, with the freedom, insight, and tools to lead it. Scott Brighton is the CEO of Bonterra.
Category:
E-Commerce
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