Category: 3. Business

  • After ‘the change’: How menopause affects women’s labour and health outcomes

    By 2030, approximately 1.2 billion women worldwide will either be undergoing the menopause transition or be post-menopausal (Delanerolle et al. 2025). Although menopause is medically defined as the moment when a woman’s menstrual period has been missing for 12 months, hormonal changes and debilitating symptoms typically start years earlier during a period called ‘perimenopause’ and may extend for years after transitioning. Common symptoms, which can be bothersome at best and incapacitating at worst, include vasomotor symptoms (e.g. hot flushes and night sweats), sleep disruption, migraines, bone health deterioration, and emotional symptoms such as depression and anxiety (Monteleone et al. 2018). Despite the disruptive nature of this unavoidable biological process, its labour and health impacts have been understudied, particularly from a causal perspective.

    Menopause is having a moment

    As female labour force participation increases and the world population ages, middle-aged women are becoming a larger share of the workforce. Consequently, the public discussion about menopause has recently taken off in policy circles, academia, and social media, led primarily by women at this stage in their lives. Such public momentum needs to be supported by rigorous research to effectively trigger social and policy changes, as has been the case with other biological events affecting women.

    For instance, research on the effects of menstruation on schooling outcomes, such as drop-out rates and absenteeism, led to campaigns to increase school sanitation and access to menstrual technologies (Oster and Thornton 2011) and interventions to reduce period stigma (Macours 2025). On a different front, the literature documenting the ‘child penalty’ (Kleven, Landais, and Leite-Mariante 2025, Steinhauer et al. 2019) has derived into a policy debate about how to reduce the disproportionate childbearing costs borne by women and close the gender gap with paid leave, affordable childcare, or a reshaping of gender norms (Kleven, Olivero, and Patacchini 2025).

    Thus, causal evidence of the impacts of menopause on female work and health outcomes is relevant to inform policymakers and employers, support women during this transition, and potentially mitigate its costs. For instance, a notable and controversial mitigation strategy for menopausal symptoms is the use of hormone replacement therapy (HRT). HRT was commonly prescribed since the 1960s until the (now highly contested) Women’s Health Initiative Study in 2002 linked it to higher risks of heart attacks, strokes, blood clots, and breast cancer. The publication of this study led to an unexpected and abrupt decrease in HRT take-up rates, which Daysal and Orsini (2014) exploit to provide evidence on the positive impact of this medical treatment on women’s employment. However, overall, the evidence on the protective role of HRT on work and, additionally, health outcomes is still scarce.

    The emerging evidence on the hidden costs of menopause

    Most of the existing evidence on the effects of menopause on labour and health outcomes is correlational. The timing of menopause varies across women, typically occurring during the late 40s or early 50s, with an average age of 51, when women’s careers and family lives may also be undergoing major changes. Consequently, obtaining causal evidence requires disentangling the impact of menopause from other correlated factors.

    A few studies use quasi-experimental methods to provide such causal estimates, such as Bryson et al. (2022), who find that early menopause (before age 45) reduces the employment rate of women in their 50s. More recently, Conti et al. (2025) use administrative data from Sweden and Norway and an event study to estimate the ‘menopause penalty’ and find that receiving a menopause diagnosis decreases women’s full-time employment and earnings and increases public transfer receipts. Abrahamsson et al. (2025) combine register and survey data with the date of menopause from Norway and similarly find decreases in earnings for women with more severe menopause-related symptoms.

    Our recent research, part of this emerging literature, estimates the causal effects of the menopause transition on labour and health outcomes for US women (Juarez and Marquez-Padilla 2024). We use the National Longitudinal Survey of Young Women (1988-2003) and the Study of Women’s Health Across the Nation (1997-2006), two longitudinal surveys that provide information on the exact timing of menopause (the age of the last menstrual period), together with labour, health, and socio-demographic variables. Leveraging the variation in menopause age between women, we use an event study and a difference-in-difference framework, in the spirit of the child penalty literature, and set our event time as two years before a woman’s last period to capture the point at which hormonal changes and symptoms sharply increase, during perimenopause (Politi et al. 2008).

    A key advantage of our research is that we do not need to proxy for the event time (a woman’s last menstrual period) using age, genetic markers, or medical diagnoses. Thus, we can estimate the effects of menopause for all women, independent of menopause severity or access to healthcare and with little measurement error. As impacts may be heterogeneous across cohorts defined by menopause age and over time, we use the imputation procedure proposed by Borusyak et al. (2024) to estimate them.

    Our results show that menopause decreases women’s probability of employment, by about 10 percentage points, three years after menopause and increases their probability of working part-time by about 10 percentage points, if employed (Figure 1). We do not find significant effects on monthly earnings for women who remain employed but do find significant increases in the probability of receiving Social Security disability benefits (5 percentage points), and a large fall in the probability of being married or living with a partner (of up to 20 percentage points).

    Figure 1 Labour outcomes around the menopause transition

    Notes: Each graph shows the estimated average treatment effects by year, using the imputation method by Borusyak et al. (2024), with their 95% confidence intervals. The vertical dashed line indicates the reference period, two years before menopause. The reported mean dependent variable is calculated at the reference period. Data from the National Longitudinal Survey of Young Women (1988-2003). Standard errors are clustered at the individual level.

    Regarding health outcomes, we find strong detrimental effects on bone health, such as increases in the probabilities of being diagnosed with osteoporosis and experiencing bone fractures, but no significant effect on other common chronic conditions, such as diabetes or hypertension.

    We also find that HRT take-up increases around menopause, as expected, but it is significantly stronger for white and high-socioeconomic-status women, as proxied by their education, than for women who are non-white or of low socioeconomic status, suggesting inequalities in access to medical treatment during this transition.

    HRT use may be correlated with the severity of menopausal symptoms or labour market attachment. Thus, to overcome this endogeneity and provide causal estimates of the protective role of HRT on work and health outcomes, we estimate our baseline models separately for women who experienced menopause before and after the 2002 publication of the Women’s Health Initiative Study, which, as mentioned, exogenously lowered HRT uptake (Daysal and Orsini 2014). Our results show that the negative impacts of menopause are mostly significant after the publication of the Women’s Health Initiative Study, suggesting that HRT mitigates the menopause labour penalty and protects bone health.

    Changing ‘the change’: Implications for policy

    Decades after experiencing the child penalty (the median age at first birth in 1980 was 22.6; see Eickmeyer et al. 2017), the ‘menopause penalty’ comes at a time when women’s labour market outcomes could be peaking: for 1995-2005, the median income for 55-year-old men exceeded that of 45-year-olds, while the reverse is true for women (Smith 2022).

    Our findings on the protective role of HRT for work and bone health, along with the inequalities in access to HRT by race and education, underscore the need to expand menopause-related medical care to reduce labour market gaps – both between men and women and among women of different backgrounds.

    More broadly, increasing access to healthcare services and medical training about menopause, reducing social stigma, understanding social norms surrounding women’s retirement (Wang 2024), and adapting workplace and employer practices to support women’s labour market attachment are all potential avenues to mitigate the costs of menopause. Furthermore, supporting women’s labour and health during the menopausal transition could also lead to a range of long-term benefits, such as better pensions and less economic dependency in old age. Our results on the protective role of HRT on bone health suggest that expanded access to menopause-related care can protect women against frailty and physical dependency as well, which is costly for them, their families, and society as a whole.

    Editors’ note: This column is published in collaboration with the International Economic Associations’ Women in Leadership in Economics initiative, which aims to enhance the role of women in economics through research, building partnerships, and amplifying voices.

    References

    Abrahamsson, S, M Barschkett, and M Flatø (2025), “Beyond hot flashes: The career cost of menopause”, IZA Discussion Paper No. 17789.

    Borusyak, K, X Jaravel, and J Spiess (2024), “Revisiting event-study designs: Robust and efficient estimation”, Review of Economic Studies 91(6): 3253–85.

    Bryson, A, et al. (2022), “The consequences of early menopause and menopause symptoms for labour market participation”, Social Science and Medicine 293: 114676.

    Conti, G, et al. (2025), “The menopause ‘penalty’”, NBER Working Paper No. 33621.

    Daysal, N M, and C Orsini (2014), “The miracle drug: Hormone replacement therapy and labor market behavior of middle-aged women”, IZA Discussion Paper No. 7993.

    Delanerolle, G, et al. (2025), “Menopause: A global health and wellbeing issue that needs urgent attention”, The Lancet Global Health 13(2): e196-e198.

    Eickmeyer, K J, K K Payne, S L Brown, and W D Manning (2017), “Crossover in the median age at first marriage and first birth: Thirty-five years of change”, Bowling Green State University, National Center for Family & Marriage Research.

    Juarez, L, and F Marquez-Padilla (2024), “Midlife crisis: The labor and health impacts of the menopause transition”, SSRN 5264120.

    Kleven, H, C Landais, and G Leite-Mariante (2025), “The child penalty atlas”, Review of Economic Studies 92(5): 3174–207.

    Kleven, H, G Olivero, and E Patacchini (2025), “Child penalties and parental role models: How classroom exposure shapes gender gaps”, VoxEU.org, 8 February.

    Macours, K (2025), “Ending period stigma in schools”, VoxEU.org, 5 March.

    Monteleone, P et al. (2018), “Symptoms of menopause – global prevalence, physiology and implications”, Nature Reviews Endocrinology 14(4): 199–215.

    Oster, E, and R Thornton (2011), “Menstruation, sanitary products, and school attendance: Evidence from a randomized evaluation”, American Economic Journal: Applied Economics 3(1): 91–100.

    Politi, M C, M D Schleinitz, and N F Col (2008), “Revisiting the duration of vasomotor symptoms of menopause: A meta-analysis”, Journal of General Internal Medicine 23(9): 1507–13.

    Smith, T (2022), “Life cycle income profiles”, Research Highlights, American Economic Association, 9 November.

    Steinhauer, A, C Landais, J Posch, and H Kleven (2019), “Child penalties across countries: Evidence and explanations”, VoxEU.org, 14 May.

    Wang, X (2024), “The second glass ceiling for women”, International Economic Association, 12 December.

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  • The Future of Finance? Google Is Bringing Betting Odds Directly To Your Screen, Sparking Calls For ‘Addiction Warnings’

    The Future of Finance? Google Is Bringing Betting Odds Directly To Your Screen, Sparking Calls For ‘Addiction Warnings’

    Google announced earlier this month that it will integrate odds from online betting platforms Kalshi Inc. and Polymarket into its Google Finance tools amid pushback from lawmakers over the evolution of modern-day gambling.

    The integration of these “event contract” sites will enable users to “ask questions about future market events and harness the wisdom of the crowds,” according to a company blog post. The decision, however, comes as both Kalshi and Polymarket navigate a complex web of state and federal regulations.

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    Kalshi and Polymarket maintain their platforms offer “event contracts” between private parties that should be regulated like commodities rather than traditional gambling subject to state oversight; an argument that has received pushback from government officials, NBC Chicago said. Companies like Kalshi and Polymarket should “package sports betting as events contracts” to circumvent established gaming regulations, state attorneys general claimed in a lawsuit in June.

    U.S. senators including five Democrats and one Republican addressed that concern in a letter to Commodity Futures Trading Commission Acting Chair Caroline Pham September “By claiming to be federally regulated … issuers of sports event contracts can avoid myriad state [gaming] laws, including licensing and background investigations, minimum age requirements, federal anti-money laundering rules, and consumer protections such as addiction warnings and integrity monitoring,” the lawmakers wrote.

    Trending: 7 Million Gamers Already Trust Gameflip With Their Digital Assets — Now You Can Own a Stake in the Platform

    Nearly 80% of American voters support keeping prediction market regulation at the federal level rather than under state gambling authorities, according to a poll of 1,219 people nationwide commissioned by Kalshi and conducted by Axis Research. Eighty-nine percent of respondents agreed all Americans should have the freedom and ability to choose whether or not to engage in these markets regardless of their own participation.

    Among those surveyed, 75% of Republicans and 71% of Democrats supported a federal regulatory approach to prediction markets. “American voters want the freedom to choose how to invest their own money without state-level interference,” Kalshi Head of Corporate Development Sara Slane said in a LinkedIn post. “The current federal regulatory structure is best equipped to oversee this financial activity, a point underscored by Congress.”

    Prediction markets currently fall under the jurisdiction of the Commodities Futures Trading Commission, which oversees event-based contracts that allow participants to trade on the likelihood of future outcomes.

    See Also: Missed Tesla? EnergyX Is Tackling the Next $200 Billion Opportunity — Lithium

    Polymarket and Kalshi have faced criticism over controversies regarding event outcome determinations. For instance, Polymarket’s bet on whether Ukraine’s President Zelenskyy would appear in public wearing a suit before July sparked disputes about what qualifies as “a suit,” Event Horizon reported.

    Meanwhile, Kalshi users expressed frustration after the company refused to pay out bets when former X CEO Linda Yaccarino announced she was leaving the company, reported Event Horizon.

    The Trump administration has become a key player in Kalshi and Polymarket’s market dynamics. Donald Trump Jr., the president’s eldest son, serves as a formal adviser to both companies. The CFTC in May dropped a case against Kalshi initiated by Biden-era regulators, clearing the way for Polymarket to regain U.S. market access as indicated by the CFTC in September. In October, Trump’s social media platform Truth Social announced plans to launch Truth Predict, a crypto-based event betting service.

    Read Next: Wall Street’s $12B Real Estate Manager Is Opening Its Doors to Individual Investors — Without the Crowdfunding Middlemen

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    This article The Future of Finance? Google Is Bringing Betting Odds Directly To Your Screen, Sparking Calls For ‘Addiction Warnings’ originally appeared on Benzinga.com

    © 2025 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.

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  • Six huge mistakes to avoid at your work Christmas party

    Six huge mistakes to avoid at your work Christmas party

    Recruitment and workplace expert Roxanne Calder says work parties ain’t what they used to be. (Source: Getty/Roxanne Calder)

    For something supposed to be fun, work Christmas parties can be surprisingly high stakes in the modern workplace. It used to be a harmless night out, a couple of drinks, a few dance moves and a half-remembered story for the next day.

    Now, it resembles a social experiment: part celebration, part networking roulette and yes, part unspoken performance review. Add the habitual filming and posting to socials, and you have an event where your reputation unravels faster than the night unfolds.

    Twenty years ago, a Christmas party faux pas stayed in the room. Or at worst, lived on as a foggy nextday memory, mercifully free of evidence. Today, it’s broadcasted, viewed, and shared. No fog here, just a filtered soft lens blur.

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    This week, an executive at National Australia Bank’s online lender UBank was reportedly sacked after behaving inappropriately including being photographed in a mock terrorism act at the work Christmas party.

    Celebrations and parties are important physical manifestations or artefacts of an organisation’s culture. And the Christmas party remains a significant event and ritual. So how do you celebrate without courting office infamy or worse? A few guiding principles can help:

    One of the great myths of the Christmas party is that hierarchy levels out. The boss is wearing a novelty jumper and reindeer ears, colleagues are laughing more loudly than usual, and the whole event feels looser. But alcohol does not cancel power dynamics; it simply dims the lights.

    It can make the hierarchy more visible. People reveal how they really relate to authority once their guard lowers. Hybrid work has made this more complicated. After years of reduced in-person interaction, people are socially rusty. Judgment slips not because people are reckless, but because their social reflexes are not being fully exercised.

    Remember: the Christmas party is not a night off from workplace dynamics. Respect for roles, boundaries and authority should be maintained.

    Phones have become the hidden guests at every workplace event. No one means harm; they are filming a toast, a joke, or the office limbo competition, but context rarely survives the camera roll. A harmless moment can look vastly different when cropped, shared, or viewed by someone who wasn’t there.

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  • Lessons on maintaining your humanity in the world of AI technology

    Lessons on maintaining your humanity in the world of AI technology

    AI is not human. But it does a good job of acting like it.

    It is capable of replicating how we speak, how we write and even how we solve problems.

    So it’s easy to see why many consider it a threat, or at least a challenge, to our humanity. 

    That challenge is at the heart of a new book titled “AI and the Art of Being Human,” written by AI with the help of Jeff Abbott and Andrew Maynard. The book is described as a practical, optimistic and human-centric guide to navigating the age of artificial intelligence.

    “Human qualities that will become more important as AI advances are qualities like curiosity, our capacity for wonder and awe, our ability to create value through relationships and … our capacity to love and be loved,” said Maynard, a scientist, writer and professor at Arizona State University’s School for the Future of Innovation in Society. 

    Here, Maynard and Abbott, a graduate of Thunderbird School of Global Management at ASU and the founding partner of Blitzscaling Ventures, a venture capital firm investing in startups, discuss the ways that AI can challenge our individuality and how we can hold on to what makes us uniquely human.

    Andrew Maynard

    Note: Answers have been edited for length and/or clarity.

    Question: What was the inspiration behind “AI and the Art of Being Human?”

    Maynard: For me, it was the growing realization that, for the first time, we have a technology that is capable of replicating what we think of as uniquely defining who we are, and that is forcing us to ask what makes us us in a world of AI. These are questions that my students and others are asking with increasing frequency — how do I hold onto what makes me who I am and thrive when everything around us is changing so fast.

    Q: How does AI impede or infringe upon the ability to be human?

    Abbott: AI has the potential to further reduce human interaction and, with it, the opportunity to exercise compassion. Compassion broadly defined means an action-oriented concern for others’ well-being, and it is much more easily activated where direct human contact is involved. 

    When building AI, we must widen our circle of concern to include those who are not present, represented or offered a voice in the process. Those who are adversely affected by our actions in building or using AI tools should be taken into account, and in the same way, someone causing environmental harm can now attempt to offset those impacts. Those causing unintended consequences when building AI should accept their share of responsibility and contribute to some form of mitigation, whether directly or indirectly.

    Q: The idea of AI being a mirror is mentioned in the book. What does that mean and why is that a concern?

    Maynard: Because artificial intelligence is increasingly capable of emulating the things that we think of as making us uniquely human — the way we speak, our thinking and reasoning, our ability to empathize and form relationships, and to solve problems and innovate — it’s becoming a metaphorical mirror that reflects not simply what we look like, but who we believe we are. Of course, AI isn’t aware or “human” as such. But it does an amazing job of feeling human. And because of this, it has the potential to reveal things about ourselves that we didn’t know. It also has the capacity to distort what we see, sometimes without us realizing it.

    Jeff Abbott

    Q: As an antidote to AI’s threat to humanity, the book offers 21 tools that provide a practical business guide for thriving in an age of this powerful technology. Can you explain them?

    Abbott: I’m a big believer in the power of tools based on my background in corporate strategy and entrepreneurship education … and I imagined a book that was at once deeply thoughtful and values-based, while also immensely practical, something like equal parts “The 7 Habits of Highly Effective People,” “The Business Model Canvas” and daily guided meditation.

    The intent map is one of the tools that illustrates this with four quadrants. It’s a thinking tool that makes values visible and choices conscious before the momentum of AI and the actions of others make choices for you. For example, the “values” quadrant addresses the question of what we refuse to compromise when using AI, and … the “guardrails” quadrant asks where do we draw hard lines around what we will and will not compromise on. 

    The power here lies not in the quadrants, but in how someone uses the relationships between them to make decisions around AI in their life.

    Q: What is the danger in over-relying on AI for not just our work, but even in other areas of our lives?

    Maynard: We talk a lot about agentic AI at the moment — AI that has the “agency” to make decisions and complete tasks on its own, whether that’s managing your calendar and email inbox … or making strategic organizational decisions. From the perspective of increasing efficiency and productivity, this sounds great. At the same time, we risk losing our own human agency as we give it away to AI — especially if we do it without thinking about the consequences. In the book, we develop and apply four postures that are designed to help avoid this: curiosity, clarity, intentionality and care.

    Q: What human qualities do you think will become more important as AI advances?

    Abbot: Self-reliance in the Emersonian sense, because Emerson’s self-reliance wasn’t merely about independence in the mundane sense, e.g. doing your own chores. It was a spiritual and intellectual manifesto about maintaining sovereignty of mind in the face of conformity, convenience and delegation to systems of thought outside oneself. In the age of AI, that idea isn’t nostalgic; it’s necessary and it’s urgent.

    Q: What role did AI play in writing this book?

    Maynard: Rather a lot! We agreed early on in the process that, given the urgency with which the book was needed, it made sense to use AI to accelerate the writing process. But we also realized that we needed to walk the walk and use the tools we were writing about. And so we developed a quite complex and sophisticated approach to working with AI to create the first draft of the book.

    We talk a little about this process in the book, but the end result is a deeply human initiative that reflects what is possible while working with curiosity, clarity, intention and care with AI.

    What I still find amazing is that, while we guided our AI “ghost writer” very intentionally, the stories in the book and the tools they help develop are all the products of AI. They were all seeded by us, and subsequently refined by us. But they are also a testament to what is possible through working creatively and iteratively with AI.

    Q: What do you hope people will come away with after reading the book and will its contents be used by ASU students?

    Maynard: I hope people will approach the book as a practical guide. Something that they bookmark and come back to and apply in their everyday lives. More importantly, I hope people come away realizing that AI isn’t something that simply happens to them but is something that can help them learn to thrive … on their own terms and in their own way.

    The hope, of course, is that the ideas and tools here are part of every student’s journey at ASU as we equip them to thrive in an AI future. The book is … written in a way that lends itself to being integrated into curricula. In the AI world, we’re in the process of building. It’s the students who understand how to thrive without losing sight of who they are — who will be the catalysts for change. And achieving this at scale? Isn’t this part of what ASU is all about?

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  • SoftBank in Talks to Buy Data-Center Investor DigitalBridge

    SoftBank in Talks to Buy Data-Center Investor DigitalBridge

    Photographer: Kiyoshi Ota/Bloomberg

    SoftBank Group Corp. is in talks to acquire DigitalBridge Group Inc., a private equity firm that invests in assets such as data centers, as it seeks to take advantage of an AI-driven boom in digital infrastructure, according to people with knowledge of the matter.

    The Japanese conglomerate is negotiating a potential deal to buy New York-listed DigitalBridge and take it private, the people said, asking not to be identified because the information is confidential.

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    Shares of DigitalBridge, which had fallen 13% this year before Friday, rose 45% in New York trading for the their biggest-ever one-day gain. The shares closed at $14.12, giving the company a market value of $2.58 billion.

    SoftBank’s billionaire founder Masayoshi Son is trying to capitalize on soaring demand for the computing capacity that underpins artificial intelligence applications. A transaction could come together as soon as the coming weeks, though deliberations are ongoing and there’s no certainty they will lead to an agreement, the people said.

    Representatives for SoftBank and DigitalBridge declined to comment.

    DigitalBridge, led by Chief Executive Officer Marc Ganzi, had about $108 billion of assets under management at the end of September, according to its website. Its portfolio includes digital infrastructure operators such as AIMS, AtlasEdge, DataBank, Switch, Vantage Data Centers and Yondr Group.

    Raymond James research analyst Ric Prentiss said in an Oct. 30 research note that it makes sense for a larger alternative asset manager that has scale and fundraising infrastructure to buy DigitalBridge rather than it remain standalone.

    “We feel DigitalBridge would consider selling, but only at the right (and much higher than current levels) cash price and terms,” Prentiss wrote.

    SoftBank has previously done deals in the asset management space. In 2017, it acquired Fortress Investment Group for more than $3 billion. It eventually sold its stake to a group including Abu Dhabi sovereign wealth fund Mubadala Investment Co. and Fortress management in a deal completed in 2024.

    In January, SoftBank announced a $500 billion project called Stargate, alongside OpenAI, Oracle Corp. and Abu Dhabi’s MGX, to build data centers in the US. While SoftBank’s Son pledged to deploy $100 billion “immediately,” the rollout of Stargate has been slower than planned, in part because of disagreements over where the data centers should be located.

    SoftBank initially sought project financing from outside investors including insurance companies, pension funds and investment funds, but some of the conversations slowed due to market volatility, uncertainty around US trade policy and questions about the financial valuations of AI hardware, Bloomberg News reported in May.

    OpenAI, Oracle and SoftBank announced plans in September for five new sites across Texas, New Mexico and Ohio that will eventually have a capacity of 7 gigawatts of power, or as much as some cities.

    The push by SoftBank has required shifting some funds around to free up capital. Son this week said he “was crying” over his need to sell a $5.8 billion Nvidia Corp. stake to reallocate the money to other AI spending.

    –With assistance from Min Jeong Lee, Dina Bass, Mayumi Negishi, Taro Fuse, Vinicy Chan and Dawn Lim.

    (Updates with closing share price in third paragraph.)

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    ©2025 Bloomberg L.P.

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  • Fitch downgrades Hungary's outlook to 'Negative' on foggy fiscal consolidation path – Reuters

    1. Fitch downgrades Hungary’s outlook to ‘Negative’ on foggy fiscal consolidation path  Reuters
    2. Fitch Revises Hungary’s Outlook to Negative; Affirms at ‘BBB’  TradingView
    3. HUF: Moody’s holds Hungary rating, markets react positively – ING  FXStreet
    4. Hungary’s outlook revised to negative by Fitch, rating affirmed  Investing.com South Africa
    5. Fitch downgrades Hungary’s outlook to ‘Negative’  TradingView

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  • Has The Market Run Too Far Ahead Of AAR After Its 34% Rally In 2025?

    Has The Market Run Too Far Ahead Of AAR After Its 34% Rally In 2025?

    • Wondering if AAR is still a smart buy after its big run, or if the easy money has already been made? Here is a closer look at what the market is really pricing into this stock.

    • Even after slipping slightly in the last week and month, AAR is still up 34.3% year to date and 22.3% over the past year, with a 143.1% gain over five years that suggests investors have been steadily re-rating the story.

    • Those moves have been supported by ongoing optimism around aviation services demand and AAR’s role as a key maintenance and logistics partner for airlines and defense customers. Investors are increasingly treating the company as a long term, infrastructure style play on global flight activity and fleet modernization.

    • On our numbers, AAR scores just 2/6 on basic undervaluation checks, which suggests the market is already factoring in a fair amount of optimism, but that is only part of the story. Next, we will look at different valuation approaches and then finish with a more robust way to assess whether the current price really makes sense.

    AAR scores just 2/6 on our valuation checks. See what other red flags we found in the full valuation breakdown.

    A Discounted Cash Flow model estimates what a company is worth today by projecting its future cash flows and discounting them back to the present. For AAR, the model uses a 2 stage Free Cash Flow to Equity approach based on analyst forecasts and longer term extrapolations by Simply Wall St.

    AAR currently generates around negative $27.3 Million in free cash flow, but analysts expect this to turn positive and grow rapidly. Projections call for free cash flow to reach about $38 Million in 2026, then climb to roughly $203 Million by 2028 and around $589 Million by 2035, all in $. These rising cash flows, when discounted back, give an estimated intrinsic value of about $191.82 per share.

    Compared with the current share price, this implies a 56.9% discount, suggesting the market is valuing AAR well below what its projected cash generation might justify. On DCF terms, AAR appears meaningfully undervalued in this model.

    Result: UNDERVALUED

    Our Discounted Cash Flow (DCF) analysis suggests AAR is undervalued by 56.9%. Track this in your watchlist or portfolio, or discover 906 more undervalued stocks based on cash flows.

    AIR Discounted Cash Flow as at Dec 2025

    Head to the Valuation section of our Company Report for more details on how we arrive at this Fair Value for AAR.

    For profitable companies like AAR, the Price to Earnings, or PE, ratio is a practical way to gauge how much investors are willing to pay today for each dollar of current earnings. In general, higher expected growth and lower perceived risk justify a higher, or more expensive, PE multiple, while slower or riskier businesses usually trade on lower ratios.

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  • Why The Narrative Around Sanmina Is Shifting Amid AI Datacenter Deals And Execution Risks

    Why The Narrative Around Sanmina Is Shifting Amid AI Datacenter Deals And Execution Risks

    Sanmina’s stock narrative has shifted again, with a higher price target driven largely by growing conviction in its AI and communications opportunity set. While the fair value estimate per share is unchanged at $190 and revenue growth expectations are steady at 37.29%, a slightly higher discount rate of 8.50% underscores both improved positioning and heightened execution risk around key partnerships and integration milestones. Stay tuned to see how you can track these evolving assumptions and sentiment shifts before they move the story, and potentially the stock, further.

    Stay updated as the Fair Value for Sanmina shifts by adding it to your watchlist or portfolio. Alternatively, explore our Community to discover new perspectives on Sanmina.

    🐂 Bullish Takeaways

    • BofA, led by analyst Ruplu Bhattacharya, has twice lifted its Sanmina target in recent months, first to $150 from $130 and then to $180 from $150, signaling growing confidence in the companys positioning despite maintaining a Neutral rating.

    • Analysts at BofA highlight the OpenAI and AMD multi billion dollar AI datacenter partnership as a structural positive, given Sanminas role as AMDs preferred NPI partner for building, testing, and readying GPU racks for production.

    • The latest BofA note cites a strong fiscal Q4 and improving conditions in the communications end market, with inventory correction easing and ZT Systems providing full rack assembly capability, both seen as supportive of Sanminas growth and integration story.

    🐻 Bearish Takeaways

    • Despite successive price target hikes to $180, BofA continues to rate Sanmina at Neutral. This underscores concerns that much of the AI and communications upside may already be reflected in the current valuation.

    • BofA flags significant execution risk, pointing to Sanmina needing to integrate the ZT Systems business and then successfully ramp programs with AMD. This is occurring against an uncertain macro backdrop that could pressure demand or delay deployments.

    • Analysts also stress that the financial impact of the OpenAI and AMD partnership is hard to quantify, with key variables including how many GPU racks Sanmina is awarded and the possibility that customers choose competing partners for NPI testing and manufacturing.

    Do your thoughts align with the Bull or Bear Analysts? Perhaps you think there’s more to the story. Head to the Simply Wall St Community to discover more perspectives or begin writing your own Narrative!

    NasdaqGS:SANM Community Fair Values as at Dec 2025
    • Sanmina completed its previously announced share repurchase program, buying back 801,093 shares, or about 1.49% of shares outstanding, for a total of $60.8 million, with no additional shares repurchased between June 29, 2025 and September 27, 2025.

    • The company issued earnings guidance for the first quarter ending December 27, 2025, projecting revenue in the range of $2.9 billion to $3.2 billion.

    • The completion of the buyback and the new revenue outlook together indicate that management is focusing on capital returns to shareholders while supporting the current demand environment for Sanmina.

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  • Arm Holdings (NasdaqGS:ARM) Valuation Check After South Korea Chip Design School Deal

    Arm Holdings (NasdaqGS:ARM) Valuation Check After South Korea Chip Design School Deal

    Arm Holdings (ARM) just inked a memorandum of understanding with South Korea’s industry ministry to create a chip design school, a long horizon move that could quietly reshape its AI centric growth story.

    See our latest analysis for Arm Holdings.

    The chip school agreement lands while sentiment around Arm is mixed, with a 7 day share price return of 4.24% but a softer 30 day share price return of negative 11.79%, leaving the 1 year total shareholder return roughly flat and suggesting momentum is resetting after a strong year to date.

    If you are watching how Arm is positioning for the next wave of AI hardware, it could also be worth exploring high growth tech and AI stocks that may be riding similar structural trends.

    With Arm growing earnings at a healthy clip and still trading nearly 19% below the average analyst target, is the current lull a mispriced entry into an AI infrastructure king, or is the market already baking in years of future growth?

    Compared to the last close at $141.31, the narrative fair value near $70 frames Arm as a high conviction story trading at a speculative premium.

    Based on a forward earnings framework anchored to the 10-year U.S. Treasury yield, the stock’s intrinsic fair value is estimated at $70 per share. Applying a prudent 20% discount to reflect interest rate risk and macro uncertainty yields a conservative, risk-adjusted target of $56. However, recent market action suggests investor sentiment has shifted decisively beyond fundamentals.

    Read the complete narrative.

    Curious how a disciplined rates based model still arrives at a much lower value than today’s price? The narrative leans on aggressive forward earnings power, richer margins, and a future valuation multiple usually reserved for elite compounders. Want to see which specific profit and growth assumptions justify that gap? Click through and unpack the full framework behind this fair value call.

    Result: Fair Value of $70.00 (OVERVALUED)

    Have a read of the narrative in full and understand what’s behind the forecasts.

    However, sharp rate increases or an AI spending slowdown could quickly compress Arm’s valuation multiples and challenge the longer term bubble wave thesis.

    Find out about the key risks to this Arm Holdings narrative.

    Our valuation checks paint a more nuanced picture than the $70 fair value headline. On a sales basis, Arm trades at 33.8 times revenue, far richer than both the US semiconductor industry at 5.5 times and peers at 7.4 times. Yet our fair ratio sits even higher at 38 times, which means the market could still move further in either direction and leave late buyers exposed to sharp swings. Is this a calculated bet on Arm’s growth engine, or are expectations already stretched to a breaking point?

    See what the numbers say about this price — find out in our valuation breakdown.

    NasdaqGS:ARM PS Ratio as at Dec 2025

    If you see the numbers differently or want to stress test your own assumptions, you can build a customized Arm narrative in minutes: Do it your way.

    A good starting point is our analysis highlighting 2 key rewards investors are optimistic about regarding Arm Holdings.

    Arm is only one chapter in today’s market story; use the Simply Wall St Screener now so you do not miss tomorrow’s standout opportunities.

    This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.

    Companies discussed in this article include ARM.

    Have feedback on this article? Concerned about the content? Get in touch with us directly. Alternatively, email editorial-team@simplywallst.com

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