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Self-growth requires two things parents often lack: time and energy. Between cleaning messes, cooking meals, and managing extracurriculars, the average parent gets just two hours a week to focus on personal development. Growth doesnt stop when you become a parent. Raising children offers lifelong learning. Yet, for parents used to measuring their success in qualifications and promotions, it often doesnt feel like growthespecially when youre sleep-deprived and energy-drained. To them, professional development and personal development are one and the same. Its no wonder 50% are left feeling as if parenthood has hijacked or delayed their growth. As Headways productivity coach, Ive seen this situation play out all too many times. Working parents worry theyre falling behind, so they spend every spare second they have trying to catch up, often sacrificing their sleep, social life, and self-care. Its mentally taxing and typically leads to self-doubt, burnout, and parents putting their career growth on pause rather than any meaningful progress. Ambition on hold: Self-improvement is designed for the childless Growing by almost 5% annually, the global personal development market is on track to reach $69 billion by 2032. With a constant flow of new material from leading experts, its never been easier to improve yourself. Unless, of course, youre a parent. When the best self-help books span hundreds of pages, for those lucky to find two hours a week for themselves, its a nonstarter. Parents arent excluded from growth by ability or desire, but by design. The booming self-improvement industry simply wasnt built for those without free evenings and quiet weekends. Parents might not be reading a book a week or asking for career development funding, but they still want to learn. They do, and they try, sneaking in learning while the children are napping, during their commute, or over the weekend instead of resting. But it rarely sticks. And when it doesnt, it can feel like failure. That sense of falling behind fosters frustration, discouragement, and hopelessness. While the most laborious moments of parenthood are temporary, 41% admit that having children has sapped their ambition, and 18% say it has destroyed their career prospects. But it doesnt have to be that way. With the right tools and approach, parents can keep learning and growing without burning out or putting their children second. Burp, feed, learn, repeat: Making self-growth possible for parents Traditional approaches to self-growthlong courses, bulky books, and complicated appsarent compatible with the realities of raising children. What parents need is short and flexible content and tools that enable micro-learning, enabling them to make progress in small pockets of time without making learning draining or burdensome. Studies show its no less effective. In fact, micro-learning can boost knowledge retention by as much as 20%. Even small amounts of consistent learning add up, making progress possible for parents without feeling like theyre sacrificing in other areas of life or constantly falling behind. How to maintain your self-growth during parenthood (without losing sleep) If it feels like you have to choose between parenting and personal development, heres how you can banish the self-doubt and get your self-growth back on track: Set realistic goals: Hustle culture insists we should sleep less and do more, but it doesnt work. Burnout isnt effective for learning. Youll just spend your free time worrying about your job performance, stressing over your home life, and questioning whether you should give up. Speak to your employer: Your productivity may slump, but your employer already knows youre capable. Have the conversation and ask how they can support you. They might offer a few hours out of the workday each week for personal development or cover the cost of a micro-learning subscription. Show yourself compassion: Parenthood is never easy, despite what some claim. You will face interruptions, skip days, and completely forget things you learned five minutes ago. Thats normal, so show yourself some compassion. Learning to be kinder to yourself is still a form of growth, even if it doesnt come with a certificate or qualification. Remember, this isnt forever: My career is over, The person I was is gone, Ill never achieve my goals. Its easy to fall into a mindset of doom and gloom, but thats the sleep deprivation talking. Kids grow up, demand less time, and normalcy resumes.
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E-Commerce
On Tuesday, SoftBank, the Japanese financial giant, announced plans to dump all 32 million of its shares in Nvidia, the AI chip maker. The news wont be the needle that pops the AI bubble, but it did cause enough of a stir to make Nvidias shares drop 2% Tuesday morning. The bad vibes were muted somewhat by news of what SoftBank says it will do with the proceeds of the sell off, along with those from the sale of some of its $9.17 billion T-Mobile stake: The firm will double down on another big bet in the AI spaceOpenAI. SoftBank expects to directly invest $30 billion in OpenAI this year, according to its second-quarter financial statement in September. And it had already committed $19 billion to the $500 billion Project Stargate infrastructure initiative (with OpenAI and Oracle). To bankroll these commitments, Masayoshi Son, SoftBank’s CEO, likely needed to free up funds. Hence the Nvidia sell-off. For years, Son has talked about SoftBank’s strategy to invest in the computing platforms of the future, including AI. His firm amassed a reported $4 billion stake in Nvidia back in 2017, only to dump the shares in 2019. At the time Son had called Nvidia the the core company of the AI revolution. He now believes that OpenAI will be that core company. During SoftBanks annual general meeting in June, Son declared he is all in on OpenAI. Hed always wanted to be an early major investor in the AI super-startup, he said, but Microsoft beat him to the punch. OpenAI, he predicted, will one day go public and eventually become the most valuable company in the world, he said. Nvidia reported $46.7 billion in revenues during its July-ending quarter (and crossed $4 trillion in market cap), while OpenAI doesnt expect to turn a profit until 2029. But by divesting of Nvidia and doubling down on OpenAI, Son can play a more active role in the platforms expansion via initiatives like the Stargate Project, which will finance a major buildout of AI infrastructure. SoftBank is still indirectly entwined in Nvidias fortunes, which also rest on the broad expansion of AI. The entire stock market is being propped up by confidence in big tech companies that are investing huge amounts in AI. Investors are placing a lot of faith in the idea that generative AI, a mostly unproven technology, will create valuable new efficiencies for businesses in the coming years. Compounding the concern is the fact that a relatively small group of wealthy companiesSoftBank, Nvidia, and OpenAIare investing in each other, which has fed fears that theyre involved in a sort of self-inflating bubble. Its unclear if or when that bubble will popThat bubble may well pop at some point. For nowUntil then, Son has made his preference clear: software over hardware, a bet that feels like a big vote of confidence for AI.
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E-Commerce
When Amazon proposed building its Project Blue data center in Tucson, Arizona, the company faced intense pushback. Residents raised concerns about the enormous amounts of water and electricity that the data center would need, two major ways such projects impact the environment, especially in a desert city. Ultimately, Tucsons town council rejected the proposal (though its developer hasnt given up). But the story highlights both the growing environmental impacts of data centers, and how location matters to that impact. A study published this week in the journal Nature Sustainability makes that connection even clearer. Led by researchers at Cornell University, the study analyzed the environmental impact that data centers could have in the U.S. as their growth continues, and created a state-by-state look at where those data centers should go to avoid the worst effects. The growing impact of AI Data centers demand a lot of electricity, so much so that they are straining our energy grid. In order to quickly meet that growing energy demand, developers are building more fossil fuel infrastructure, like natural gas power plants. The data center surge has also delayed the planned retirements of coal plants. The current rate of AI growth in the U.S. would put 24 to 44 million metric tons of carbon dioxide into the atmosphere by 2030, the study authors found. Thats equivalent to adding 5 to 10 million cars to the countrys roads. That growth would also drain 731 to 1,125 million cubic meters of water every yearas much as 6 to 10 million Americans annual average household water usage. All together, that means the AI industry is unlikely to meet its net-zero aspirations by 2030, the study reads, without massively relying on carbon offsetswhich the researchers call highly uncertainor water restoration efforts. Still, researchers didnt only want to see the environmental trajectory that this AI boom would take. They also wanted to figure out what choices could steer it toward sustainability, Fengqi You, a Cornell engineering professor who led the study, said in a statement. How location matters The location of data centers matters to those impacts, and developers could cut data centers environmental footprints by building them in different places, the researchers found. Some data centers are being planned in regions that are already water scarce, like Arizona or Nevada, even though data centers require a lot of water themselves. Instead, locating projects in regions with lower water-stress and improving cooling efficiency could cut water demands by 52%, per the study. In other places, the massive surge of data centers can strain the grid or water resources; Virginia, for example, is the biggest data center market in the world, with more than 600 facilities clustered around Washington, D.C., and Richmond. Data center companies have wanted to be close to workers in D.C., but continuing to build data centers there just adds to that strain. What powers the grid that supports a data center matters too. Some states like New York may have energy grids powered by more renewables or may be investing in more clean energy, which means fewer carbon emissions. But just focusing on reducing a projects carbon footprint could actually increase its water footprint, the researchers found. Conversely, putting data centers in the best locations for water use reduced their overall carbon footprint, too. Researchers used a combined carbon- and water-focused strategy to find the best places to build data centers to minimize their environmental impact. And those states are clustered in the midwest, specifically Texas, Montana, Nebraska, and South Dakota. The researchers acknowledge that certain technologies, like better liquid cooling and improved server utilization, could bring down data centers environmental impact toopotentially removing 7% of carbon dioxide and lowering water use by 29%. Those are just more decisions, like location, that companies could consider when building more data centers. This is the build-out moment, You said. The AI infrastructure choices we make this decade will decide whether AI accelerates climate progress or becomes a new environmental burden.
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E-Commerce
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