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For years, companies have been told to prepare for the future by chasing youth, digital fluency, and technical skills. They have been urged to bet on high potentials and to focus on the next generation. At the same time, they have spent years overlooking one of the most strategic talent pools already available to them: women over 50. This blind spot now looks increasingly dangerous. The future of work is arriving amid inflation, oil crises, wars, and all sorts of geopolitical tensions, economic anxiety, demographic aging, climate disruption, and the destabilizing effects of AI. In such a world, organizations need people who can handle ambiguity, navigate transitions, sustain relationships, and make sound judgments under pressure. That is one of the reasons women over 50 matter so much. They are among the most underused sources of resilience, intelligence, and practical capability in the labor market. If companies are serious about survivingand growingin an age of volatility, here are nine reasons why they need to stop overlooking them. {"blockType":"mv-promo-block","data":{"imageDesktopUrl":"https:\/\/images.fastcompany.com\/image\/upload\/f_webp,q_auto,c_fit\/wp-cms-2\/2026\/01\/PhotoLVitaud-169.jpg","imageMobileUrl":"https:\/\/images.fastcompany.com\/image\/upload\/f_webp,q_auto,c_fit\/wp-cms-2\/2026\/01\/PhotoLVitaud-11.jpg","eyebrow":"","headline":"\u003Cstrong\u003ESubscribe to Laetitia@Work\u003C\/strong\u003E","dek":"Women power the worlds productivity its time we talked more about it. Explore a woman-centered take on work, from hidden discrimination to cultural myths about aging and care. Dont miss the next issue subscribe to Laetitia@Work.","subhed":"","description":"","ctaText":"Learn More","ctaUrl":"http:\/\/laetitiaatwork.substack.com","theme":{"bg":"#2b2d30","text":"#ffffff","eyebrow":"#9aa2aa","subhed":"#ffffff","buttonBg":"#3b3f46","buttonHoverBg":"#3b3f46","buttonText":"#ffffff"},"imageDesktopId":91472264,"imageMobileId":91472265,"shareable":false,"slug":""}} 1. Demography is on their side The first reason is demographic reality. In aging societies, women over 50 are an expanding part of the population and, increasingly, of the available workforce. Women live longer than men, often work longer than previous generations, and represent a growing share of experienced talent. Yet they remain underrepresented in hiring pipelines, in leadership tracks, and in strategic workforce planning. Companies speak often about talent shortages while ignoring one of the biggest reservoirs of talent in plain sight. 2. They are veterans of career transitions Women over 50 are often veterans of career transition. Long before everyone started talking about the end of linear careers, a majority of women were already living that reality. Their working lives have frequently included interruptions, pivots, reinventions, periods of part-time work, freelance activity, caregiving, and reentry into employment. What traditional employers have too often interpreted as instability is, in fact, a deep familiarity with change. In a world where careers are less and less predictable, those who have already navigated multiple transitions have a head start. 3. They know how to learn This leads to a third advantage: They know how to learn. In the age of AI, the most valuable workers are not simply those who possess knowledge, but those who can update themselves continuously. Women over 50 who have had to change sectors or rebuild confidence after setbacks often develop a powerful capacity to learn, unlearn, and relearn. They are used to adapting. They are used to having to prove themselves again. They are often much more agile than employers assume, precisely because life has not allowed them the luxury of rigidity. 4. They bring judgment in an automated world A fourth reason is judgment. AI is very good at generating text, summarizing information, and automating routine cognitive tasks. But organizations do not thrive on information alone. They thrive on discernment: the ability to read a situation, understand context, weigh trade-offs, and anticipate consequences. These are not purely technical skills. They are human ones, and they tend to deepen with experience. Women over 50 often bring a kind of seasoned judgment that becomes especially valuable when the environment is uncertain. They are more likely to have seen management fashions come and go, to recognize false urgency, and to distinguish between real innovation and empty hype. 5. They bring emotional intelligence to organizations As work becomes more digital, more hybrid, and more fragmented, organizations depend even more on people who can create trust, resolve tension, and keep teams functioning. Women over 50 often bring strong interpersonal skills forged not only through formal work experience but through years of invisible labor: coordinating, listening, mediating, caring, anticipating needs, and managing relationships. These capacities are still routinely undervalued because they are associated with femininity and because they are difficult to quantify. Yet they are central to organizational performance. In chaotic times, the people who can keep human systems working are indispensable. 6. They strengthen intergenerational workplaces Many companies now employ several generations at once, but few know how to turn age diversity into an advantage. Too often, the focus remains fixated on attracting younger workers, as though experience were a burden rather than an asset. Women over 50 can play a crucial role here. They can mentor younger colleagues without reproducing rigid hierarchies. They can transmit knowledge, stabilize teams, and provide historical perspective. They can also help bridge cultural and professional differences between generations. In organizations where everyone is encouraged to learn from one another, this is a strategic asset. 7. They are often deeply motivated to contribute Contrary to cliché, many women over 50 are not winding down. Quite the opposite. Midlife often brings a sharper understanding of ones strengths, limits, and aspirations. Many women at this stage are more interested in meaningful contribution than corporate theater. They know what they care about, what they are good at, and what nonsense they no longer wish to tolerate. This often makes them highly effective. They may be less ready to play status games, but they are frequently deeply motivated by usefulness, autonomy, and impact. In a period when so many organizations are struggling with disengagement, that matters. 8. They are agile in times of crisis With an oil shock, economic turbulence, and geopolitical instability loomingor already unfolding depending on where you sitcompanies need people who know how to operate when the script no longer works. Women over 50 have often spent years adapting to scarcity, uncertainty, and institutional dysfunctionwhether at work, at home, or both. They know how to do more wth less. They know how to reprioritize, improvise, and keep going when systems fail. They are often pragmatic rather than ideological, flexible rather than brittle. In an economy shaped by repeated shocks, that kind of agility could be a growth strategy. Companies looking for new sources of resilience and invention should start betting on those who have already learned how to survive upheaval. 9. They help companies understand the society they serve Finally, women over 50 help organizations understand the world they actually operate in. Consumers are aging. The workforce is aging. Families are changing. Needs around health, finance, care, mobility, and everyday life are increasingly shaped by midlife and older adults, especially women. And yet these women remain strikingly absent from leadership teams, innovation departments, media representation, and product design. This makes companies less intelligent. It narrows their imagination and weakens their ability to serve real markets. Hiring women over 50 is therefore a way to become more lucid about society itself. These are some of the reasons why they are (and should be) the future of work. The conditions of the coming economy favor the kinds of strengths they have too often been forced to develop in silence. Sci-fi author Ursula K. Le Guin captured this idea beautifully in her essay The Space Crone. Asked to imagine whom humanity should send to represent itself to extraterrestrials, she proposed not a president or a great scientist, but an old womanbecause she alone has lived through the full arc of the human condition. She has known youth, change, loss, reinvention, and resilience. In many ways, the same logic applies to the workplace (albeit with older women rather than old women). In an economy defined by disruption and transformation, the people who have already navigated the most change may be the ones best equipped to face what comes next. Women over 50 are guides to our future. {"blockType":"mv-promo-block","data":{"imageDesktopUrl":"https:\/\/images.fastcompany.com\/image\/upload\/f_webp,q_auto,c_fit\/wp-cms-2\/2026\/01\/PhotoLVitaud-169.jpg","imageMobileUrl":"https:\/\/images.fastcompany.com\/image\/upload\/f_webp,q_auto,c_fit\/wp-cms-2\/2026\/01\/PhotoLVitaud-11.jpg","eyebrow":"","headline":"\u003Cstrong\u003ESubscribe to Laetitia@Work\u003C\/strong\u003E","dek":"Women power the worlds productivity its time we talked more about it. Explore a woman-centered take on work, from hidden discrimination to cultural myths about aging and care. Dont miss the next issue subscribe to Laetitia@Work.","subhed":"","description":"","ctaText":"Learn More","ctaUrl":"http:\/\/laetitiaatwork.substack.com","theme":{"bg":"#2b2d30","text":"#ffffff","eyebrow":"#9aa2aa","subhed":"#ffffff","buttonBg":"#3b3f46","buttonHoverBg":"#3b3f46","buttonText":"#ffffff"},"imageDesktopId":91472264,"imageMobileId":91472265,"shareable":false,"slug":""}}
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Every morning, people fasten their watch, slip on a bracelet, and head out the door without thinking much about what they might encounter along the way. The air they breathe, the dust on their hands, and the surfaces they touch all feel ordinary. Yet many chemical exposures happen quietly, without smell, taste, or warning. What if something as simple as a silicone band around your wrist could help track those invisible exposures? Environmental monitoring has traditionally relied on snapshots of exposure from a water sample collected on a single day, a blood sample drawn at one point in time, or soil tested from a specific location. But exposure unfolds gradually as people move through different environments and come into contact with air, dust, and surfaces throughout the day. New noninvasive monitoring tools aim to capture that longer-term picture. As synthetic chemicals such as forever chemicals, known as perfluoroalkyl and polyfluoroalkyl substances (PFAS), become more widespread in everyday environments, scientists are increasingly focused on understanding how exposure to these substances occurs in daily life. PFAS are called forever chemicals because they take a very long time to degrade in the environment. Traditional monitoring misses everyday reality Traditional monitoring methods are essential for identifying contamination, but they capture exposure as a moment rather than something that unfolds over time. In studies involving people, measuring exposure often requires invasive procedures such as blood draws, which can be expensive, logistically challenging, and, for some participants, uncomfortable enough to discourage involvement. Early in my environmental chemistry research, I noticed something that didnt quite add up. People living in the same agricultural community, or animals sharing the same landscape, often showed very different chemical profiles even when environmental measurements looked similar. The surroundings hadnt changed much; daily behavior had. Movement through different spaces, time spent indoors or outdoors, contact with treated surfaces, and interactions with consumer products all shape exposure in ways a single sample cant fully capture. That realization raised a larger question: If exposure unfolds gradually, how can scientists measure it using tools designed for specific moments? Answering that question requires a shift away from isolated measurements and toward approaches that reflect lived experience. What noninvasive tools change That question led me to work with passive, noninvasive monitoring tools, including silicone wristbands. Rather than actively collecting samples, these tools absorb chemicals from the surrounding environment over time, similar to how skin or fur interacts with air, dust, and surfaces. Silicone wristbands work because they are made of a silicone polymer called polydimethylsiloxane, or PDMS, that can absorb many organic chemicals from the surrounding environment. As the band is worn, compounds from air, dust, and surfaces gradually diffuse into the silicone over time. The material acts somewhat like a sponge, passively collecting traces of chemicals the wearer encounters during daily activities. After the wristband is worn for several days or weeks, researchers can extract those compounds in the laboratory and analyze them to better understand patterns of exposure. Silicone wristbands are one example of a broader group of passive, noninvasive monitoring tools designed to observe how chemicals accumulate over time. Other approaches, including passive air samplers placed in homes or small wearable devices, follow similar principles by absorbing compounds from the surrounding environment. Researchers have used noninvasive tools in community studies to track exposure without medical procedures, lowering barriers to participation and reducing the burden on volunteers. For example, scientists have applied these approaches to study exposure among adolescent girls in agricultural communities, firefighters, and occupants in office buildings. Researchers have also adapted similar ideas for animal and wildlife studies. Instead of drawing blood, scientists may use wearable tags, collars, or passive samplers placed in an animals environment, such as nesting areas or habitats, to understand how chemicals accumulate over time. These approaches can offer insight into exposure across different ecosystems while minimizing stress on animals. Like any method, passive monitoring has limitations. Some chemicals are more difficult to capture than others, and environmental conditions such as temperature, sunlight, or airflow can influence how efficiently samplers absorb pollutants. Wearable devices also reflect exposure over a specific period, meaning they cannot provide a complete lifetime record. These approaches do not replace traditional monitoring. Instead, they add context, showing how exposure accumulates across time and space rather than appearing suddenly at a single sampling point. Why this matters now In the United States, PFAS contamination has become a growing public concern, from drinking water advisories to product restrictions and cleanup efforts. Federal agencies, including the Environmental Protection Agency, have highlighted the persistence of these chemicals and their widespread presence in the environment. Much of the public conversation focuses on where PFAS are found in water systems, soils, or consumer products. Understanding exposure, however, also requires attention to ow people and ecosystems encounter these chemicals in everyday settings. Noninvasive monitoring tools may help fill that gap. They offer ways to better understand cumulative exposure, identify overlooked pathways, and inform environmental health and conservation decisions. For wildlife, these methods may allow researchers to detect emerging risks earlier without adding pressure to species already facing habitat loss and climate stress. Although these approaches are becoming more common in environmental health research, they are still emerging compared with traditional sampling methods. Costs, the need for standardized protocols, and differences in how various chemicals interact with passive materials can slow wider adoption. As researchers continue refining these tools, they can complement rather than replace established monitoring strategies. Yaw Edu Essandoh is a PhD student in public and environmental affairs at Indiana University. This article is republished from The Conversation under a Creative Commons license. Read the original article.
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Earlier this week, social media was wowed by images from the streets of Chinese cities showing senior citizens lining up to have OpenClaw, the always-on AI assistant, installed on their laptops, desktops, and other devices. Areas like Shenzhen and Wuxi offered subsidies to try to scale up adoption of the tool and capitalize on its capabilities. An enormous proportion of all OpenClaw instances installed worldwide, as tracked by public dashboards, emanate from China. China is adopting tech at an absolute breakneck pace. A ridiculous amount of people turned up into a public event in Shenzhen today to install the OpenClaw.Some devs who work at Chinese big tech companies threw a free public event right outside the Tencent Building in pic.twitter.com/2t4y2ancyz— Rohan Paul (@rohanpaul_ai) March 8, 2026 But just as quickly as China adopted OpenClaw, it now appears to be shunning it. The countrys internet emergency response center has issued an official warning about the risks the technology poses. The central government has sent out diktats to government agencies and state-owned enterprises, warning them against installing OpenClaw on their systems. The private sector has also responded. The same pop-up providers of installation services are now offering to uninstall unwanted OpenClaw instances for a fee. Its almost a notice from the Department of Stating the Bleeding Obvious, says Alan Woodward, a cybersecurity professor at the University of Surrey in England. Everyone has been saying ‘dont be so silly as to give agentic AI access to any valuable data. Yet Woodward points out that Chinas response is more than thatthey appear to recognize that AI adoption has been so rapid that it presents a prime target for supply chain attacks. Attackers were bound to produce malicious add-ons and plug-ins, he says. China cant seem to make up its mind about what to make of OpenClaw, says Ryan Fedasiuk, a fellow at the American Enterprise Institute covering China and its tech development. Beijing is simultaneously banning OpenClaw on government networks while local governments in Shenzhen and Wuxi are subsidizing companies that build on top of it, he says. That points to a dual focus, Fedasiuk reckons. The Chinese government aims to capture the economic upside of agentic AI while keeping it out of the party-state’s own bloodstream, Fedasiuk says. However, how long that balance can hold is debatable, not least because of the way every private-sector actor is trying to adopt agentic AI, he adds. Banning agents in 2026 is like trying to ban spreadsheets in 1985, or Google Sheets in 2013, he says. The productivity gains are enormous, and the opportunity cost of abstaining from the use of agents will eventually become untenable. Still, Fedasiuk points out that Chinas OpenClaw ban seems eminently sensible. Governments should be alarmed by the cybersecurity implications of AI agents, he says. Social norms around the technology are progressing such that many hackers will soon no longer need to crack the encryption that guards valuable files or digital services, but merely gaslight a piece of software that has already been given access to them. The problem is that its out of step with current thinking about AI. Nevertheless, it appears that China has decided that widespread use of OpenClaw could cause safety headaches in the months to come. Prompt injections and plug-in poisoning are still the thorn in a chatbots side, and it isnt surprising China is flagging it, when you consider that every layer of the AI stack has a commercial incentive to push the tools far and wide, says Jake Moore, a cybersecurity expert at ESET. There are also the same structural risks with agentic AI tools that are granted high-level system permissions before anyone has properly stress-tested what an attacker can do with them. Moore says the on-and-off relationship with OpenClaw reflects how different the pace of development is between the bleeding edge of artificial intelligence and those trying to roll it out responsibly. AI is clearly built to be fast and invasive, but it is outpacing security standards and reviews, he explains. For Fedasiuk, that dysfunction between the speed of development and the speed of security patching is evident in how Chinas Central Cyberspace Affairs Commission announced its change in policy. [It] has watched agents proliferate across government networks and moved to restrict their use within days or weeks, he says. Usually the commission would study the issue as a policy problem, issue a white paper or road map, and then come to a conclusion on which it acted. The fact that it didnt suggests preexisting anxiety within the CCP [Chinese Communist Party] about what autonomous AI means for information securityand possibly a more sophisticated understanding of where the technology is headed than many Western observers give them credit for, Fedasiuk says.
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