Category: 3. Business

  • A Major Leak Spills a Chinese Hacking Contractor’s Tools and Targets

    A Major Leak Spills a Chinese Hacking Contractor’s Tools and Targets

    The United States issued a seizure warrant to Starlink this week related to satellite internet infrastructure used in a scam compound in Myanmar. The action is part of a larger US law enforcement interagency initiative announced this week called the District of Columbia Scam Center Strike Force.

    Meanwhile, Google moved this week to sue 25 people that it alleges are behind a “staggering” and “relentless” scam text operation that uses a notorious phishing-as-a-service platform called Lighthouse.

    WIRED reported this week that the US Department of Homeland Security collected data on Chicago residents accused of gang ties to test if police files could feed an FBI watchlist—and then, crucially, kept the records for months in violation of domestic espionage rules.

    And there’s more. Each week, we round up the security and privacy news we didn’t cover in depth ourselves. Click the headlines to read the full stories. And stay safe out there.

    China’s massive intelligence apparatus has never quite had its Edward Snowden moment. So any peak inside its surveillance and hacking capabilities represents a rare find. One such glimpse has now arrived in the form of about 12,000 documents leaked from the Chinese hacking contractor firm KnownSec, first revealed on the Chinese-language blog Mxrn.net and then picked up by Western news outlets this week. The leak includes hacking tools such as remote-access Trojans, as well as data extraction and analysis programs. More interesting, perhaps, is a target list of more than 80 organizations from which the hackers claim to have stolen information. The listed stolen data, according to Mrxn, includes 95 GB of Indian immigration data, three TB of call records from South Korean telecom operator LG U Plus, and a mention of 459 GB of road-planning data obtained from Taiwan, for instance. If there were any doubts as to whom KnownSec was carrying out this hacking for, the leak also reportedly includes details of its contracts with the Chinese government.

    The cybersecurity community has been warning for years that state-sponsored hackers would soon start using AI tools to supercharge their intrusion campaigns. Now the first known AI-run hacking campaign has surfaced, according to Anthropic, which says it discovered a group of China-backed hackers using its Claude tool set extensively in every step of the hacking spree. According to Anthropic, the hackers used Claude to write malware and extract and analyze stolen data with “minimal human interaction.” Although the hackers bypassed Claude’s guardrails by couching the malicious use of its tools in terms of defensive and whitehat hacking, Anthropic says it nonetheless detected and stopped them. By that time, however, the spy campaign had successfully breached four organizations.

    Even so, fully AI-based hacking still isn’t necessarily ready for prime time, points out Ars Technica. The hackers had a relatively low intrusion rate, given that they targeted 30 organizations, according to Anthropic. The AI startup also notes that the tools hallucinated some stolen data that didn’t exist. For now, state-sponsored spies still have some job security.

    The North Koreans raising money for the regime of Kim Jong Un by getting jobs as remote IT workers with false identities aren’t working alone. Four Americans pleaded guilty this week to letting North Koreans pay to use their identities, as well as receiving and setting up corporate laptops for the North Korean workers to remotely control. Another man, Ukrainian national Oleksandr Didenko, pleaded guilty to stealing the identities of 40 Americans to sell to North Koreans for use in setting up IT worker profiles.

    A report from 404 Media shows that a Customs and Border Protection app that uses face recognition to identify immigrants is being hosted by Google. The app can be used by local law enforcement to determine whether a person is of potential interest to Immigration and Customs Enforcement. While platforming the CBP app, Google has meanwhile recently taken down some apps in the Google Play Store used for community discussion about ICE activity and ICE agent sightings. Google justified these app takedowns as necessary under its terms of service, because the company says that ICE agents are a “vulnerable group.”

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  • Fruit rates announced

    Fruit rates announced

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    BAHAWALPUR, Nov 15 (APP): The Market Committee Department of the Government of Punjab has released updated fruit prices for Bahawalpur and its surrounding areas.

    According to an official press release, the price of Pomegranate (Qandahari) has been set at Rs 670 per kilogram, while Guava is priced at Rs 185 per kg. Japani Fruit will cost Rs 270 per kg, and Apple (Gaja) is priced at Rs 275 per kg. The price of Apple (Blackish Red) is set at Rs 335 per kg, while Apple Golden is priced at Rs 220 per kg, and Apple Irani at Rs 280 per kg. Citrus Kinno will be available for Rs 65 per kg, and Dates Irani will cost Rs 316 per kg. Grapes Sundarkhani are priced at Rs 850 per kg, while Grapes Gola will be sold for Rs 525 per kg. Grapefruit and Musami are both priced at Rs 65 and Rs 70 per kg, respectively. Orange Shikri is available at Rs 58 per kg, and Bananas are priced at Rs 125 per dozen.

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  • Should Globant’s (GLOB) Earnings Miss and Buyback Amid AI Growth Require Investor Action?

    Should Globant’s (GLOB) Earnings Miss and Buyback Amid AI Growth Require Investor Action?

    • Globant reported third-quarter 2025 results with revenue of US$617.14 million, slightly above the previous year’s figure, but net income and earnings per share both declined substantially year-over-year, prompting concerns about operational efficiency.

    • The company announced a US$125 million share repurchase program and highlighted record growth in its AI-driven pipeline, including expanded partnerships and increasing client adoption of subscription-based AI solutions.

    • We’ll examine how Globant’s earnings miss, despite pipeline growth and a buyback, shapes its investment outlook going forward.

    These 13 companies survived and thrived after COVID and have the right ingredients to survive Trump’s tariffs. Discover why before your portfolio feels the trade war pinch.

    To be a Globant shareholder today, you need to believe that its AI-driven offerings and expanding partnerships will convert a record pipeline into sustained, profitable growth, despite evidence of near-term earnings pressure. The latest results saw revenue edge higher, but declining margins and a cautious Q4 outlook reinforce that the pace of digital transformation projects and client adoption of new AI models remain the most important catalysts, while unpredictability in deal conversions is the key risk. In the short term, the impact of this earnings miss reinforces concerns about demand softness rather than changing the underlying drivers, so the main risk remains material for now.

    Among the recent announcements, Globant’s US$125 million share repurchase program stands out in context. It signals confidence in its long-term opportunity, but also draws attention to current margin pressure and the need to reassure investors as the business works to scale its new AI and subscription-oriented initiatives. This move does not reduce the importance of converting backlog into actual revenue, especially given the subdued growth outlook.

    By contrast, investors should be aware of how persistent delays in deal conversions and an unpredictable pipeline could affect…

    Read the full narrative on Globant (it’s free!)

    Globant’s narrative projects $3.0 billion revenue and $242.1 million earnings by 2028. This requires 6.1% yearly revenue growth and a $131.8 million earnings increase from $110.3 million.

    Uncover how Globant’s forecasts yield a $95.62 fair value, a 57% upside to its current price.

    GLOB Community Fair Values as at Nov 2025

    Six Simply Wall St Community members provided fair value estimates for Globant, ranging from US$61.97 to US$120.50 per share. With revenue growth continuing to trail analyst expectations, the risks from delayed deal closures and slower client demand remain at the forefront for many investors.

    Explore 6 other fair value estimates on Globant – why the stock might be worth just $61.97!

    Disagree with existing narratives? Create your own in under 3 minutes – extraordinary investment returns rarely come from following the herd.

    Our top stock finds are flying under the radar-for now. Get in early:

    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 GLOB.

    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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  • Huawei’s New AI Investment Could Redefine Robotics and Autonomous Driving

    Huawei’s New AI Investment Could Redefine Robotics and Autonomous Driving

    Huawei Habo has taken a major step in the field of physical artificial intelligence by investing in GigaAI, a fast-growing startup focused on world-model-based general intelligence. The move comes as part of Huawei’s efforts to expand its capabilities in embodied intelligence and next-generation autonomous technologies.

    Autonomous Driving, Robotics, and More

    GigaAI’s technology is already being tested in autonomous driving, robotics, and general embodied intelligence applications. It operates through a complete software-hardware ecosystem designed for physical intelligence. The GigaWorld platform supports driving intelligence and advanced embodied systems. The GigaBrain foundational model powers adaptive world-model-based decision-making, while the Maker General Embodied Ontology provides structured knowledge tools for developers and physical agents.

    Together, these components create an end-to-end solution for complex environments.

    Why Huawei is Investing

    Huawei’s investment aligns with its ongoing shift from VLA (Vision-Language-Action) models toward a WA (World-Action) strategy. WA relies on visual and physical signals to control intelligent agents instead of depending heavily on language models.

    This strategy, supported by Huawei Intelligent Automotive Solutions BU CEO Jin Yuzhi, forms an important part of Huawei’s long-term AI roadmap. By supporting GigaAI, Huawei aims to accelerate progress in world-model research, physical AI, and embodied intelligence across autonomous mobility and robotics.

    GigaAI recently closed its Series A1 funding round, securing more than one hundred million yuan ($14 million) in early November. Huawei Habo Investment and Huakong Fund jointly led the round. This follows GigaVision’s successful Pre-A and Pre-A+ rounds in August, during which it raised several hundred million yuan.

    Real World Applications

    For everyday users, these developments could lead to safer autonomous vehicles, more capable home robots, and AI assistants that can respond more effectively to real-world scenarios instead of relying only on digital inputs.

    Analysts believe the shift toward physical AI could spark a technological transition similar to the early smartphone era, bringing intelligent machines into daily life in more practical ways.

    About GigaAI

    Founded in 2023, GigaAI is China’s first startup dedicated to world-model research for physical AI. The company aims to develop general intelligence systems capable of understanding and interacting with real-world environments.

    Its mission centers on building intelligent systems that can predict, adapt, and function in physical settings, laying the groundwork for future advances in robotics, autonomous driving, and embodied AI.


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  • Development of an interprofessional person-centred care concept for persons with care needs living in their own homes in Germany (interprof HOME): a mixed methods study | BMC Primary Care

    Development of an interprofessional person-centred care concept for persons with care needs living in their own homes in Germany (interprof HOME): a mixed methods study | BMC Primary Care

    Study design

    We adhered to the GUIDED guideline for reporting for intervention development studies when describing the development process in detail [10].

    The interprofessional person-centred care concept interprof HOME was developed according to the MRC framework for the development and evaluation of complex interventions [11] using a multistep mixed methods approach. This paper describes the development phase, where we consider the core elements of the MRC framework: considering context, developing and refining program theory, engaging interest holders, identifying key uncertainties, refining the intervention, and economic considerations [11]. The development process consisted of six work packages (WP1-6) that were carried out simultaneously or consecutively (Fig. 1), as described in detail in our study protocol [12]. In addition, we conducted a co-creation workshop (WP7). The study took place between May 2021 and September 2023, and the co-creation workshop occurred in October 2024.

    Fig. 1

    Study design for the interprof HOME development, WP = work package

    Study setting

    The study was conducted in the city and surroundings of Göttingen, Hamburg, Lübeck and Cologne. The researchers of the respective research teams had various areas of professional expertise and experience in general practice, nursing practice, nursing pedagogy and nursing research, public health, organizational and corporate development, medical law, physiotherapy, or occupational therapy. In addition, the study team was supported by a multiprofessional advisory board made up of patient representatives, members of self-help groups and professional carers.

    Participants and sampling

    Recruitment of participants for interviews (WP2), focus groups (WP2 and WP5), best-practice cases, observations, shadowings (all WP4) and co-creation workshop followed the same procedure: professionals were identified using local registers and invited to participate in the study by letter and later by telephone. The PRHC and relatives were recruited through outpatient nursing services, self-help groups, GPs and therapists. Additionally, professionals identified from local registers were invited to participate in the survey via email, followed by two reminders (WP3). The PRHC and relatives were recruited using notices in care support centres, information in newsletters or websites of caregiving relatives or self-help groups and presentations of the study in meetings of self-help groups. The experts for the workshop (WP6) were invited on the basis of their experiences, the recommendations of the advisory board or professional contact. The researchers contacted them via email or telephone. The eligibility criteria for participants are described in our study protocol [12]. For the co-creation workshop (WP7) patients, relatives, registered nurses, GPs and therapists were invited to discuss the components of the interprof HOME concept after WP6. They were purposefully recruited with regard to heterogeneous characteristics (gender, age, and residence).

    Data collection and analysis

    Step 1: identifying existing evidence and theory

    Initially, existing evidence was synthesized by carrying out two literature reviews.

    Literature review (WP1)

    First, a literature review of professional providers’, PRHC’, and relatives’ perspectives on collaboration and communication over the previous 10 years was conducted. The research questions were: (1) What is the perspective of general practitioners/professional caregivers from outpatient care services/therapists on cooperation/communication with other caregivers? (2) What is the perspective of PRHC/relatives on cooperation/communication with professional caregivers? We conducted systematic searches in the Cochrane Library, PubMed, EMBASE, CINAHL, and PsycINFO for studies published in English or German. The search was performed by different members of the research team, with five separate foci: general practitioners, nursing staff, therapists, relatives, and PRHC. For all searches, we applied a core set of MeSH terms (“Interpersonal Relations”, “General Practitioners”, “Home Care Services”, “Nurses”, “Occupational Therapists”, “Physical Therapists”, “Patients”, “Family”). Search term combinations were adapted according to the respective perspective.

    In a second literature review, intervention studies on strategies for promoting interprofessional collaboration in PRHC outpatient care were reviewed. Systematic searches using sensitive search strategies were carried out in the databases MEDLINE (via PubMed), Cochrane Library, CINAHL and PEDro, coupled with manual searches in citations lists of relevant articles. A primary search strategy was initially developed for the MEDLINE database combining major subject headings and freetext vocabulary on the concepts ‘outpatient care’ and ‘interprofessional collaboration’; this strategy was subsequently adapted to the other databases.

    Step 2: exploring the perspective of all involved groups

    To develop a customised and successful care concept, we used the participatory approach by considering the perspectives of all the groups involved and working with them to enable the inclusion of their different needs and perspectives.

    Qualitative interviews and mono-professional focus groups (WP2)

    The interprofessional healthcare situation of the PRHC was explored via semistructured interviews (facilitators: BT, RD, CH, AM, US, TH, and LS) with the PRHC and relatives. After obtaining informed consent, trained members of the research team conducted open guideline interviews in face-to-face, online or telephone interviews The results from WP 1 served as the basis for developing the interview guides for WP2. For guidelines for interviews with PRHC and relatives see Supplementary Material 1 in [19]. Monoprofessional focus groups, either with GPs, nurses from outpatient nursing services or therapists, were conducted in the four study centres using video conferences (facilitators: BT, RD, CH, AM, US, TH, AK). For interview guideline for monoprofessional focus groups with nurses, GPs and therapists see Supplementary Material 2 in [19]. The barriers to and facilitators of interprofessional person-centred care were discussed, and first, ideas for improvement were collected.

    The interviews and focus groups were audio recorded, transcribed and checked against the audio recording, and the identifiers of persons and locations were replaced with pseudonyms. The interviews and focus groups were analysed per person group using qualitative content analyses in teams of at least two researchers from different centres [20].

    Survey (WP3)

    In a multicentre survey, PRHC/relatives, GPs, nurses and therapists completed questionnaires on the following four topics: (1) previous cooperation in home care, (2) possibilities of cooperation, (3) starting points for cooperation, and (4) ideas for measures to promote interprofessional cooperation. In order to take into account the perspectives of all those involved in the care of PRHC, we created four different questionnaires. Data were collected anonymously via the “SoSci Survey” online platform [21] and analysed descriptively using the IBM SPSS Statistics for Windows software, version 28.0.

    Best-practice cases (WP4)

    Data on eight home-care constellations considered “best-practice cases”, that is, cases in which all involved actors agreed that collaboration was working particularly well, were collected through non-participatory observation of professionals’ home visits and semi-structured interviews with the PRHC, relatives or close contacts, nurses, GPs, therapists and wound experts (facilitator: MD). To select best-practice cases, we asked professionals (GPs, nurses, therapists) to identify a patient case they perceived as exemplary in terms of collaboration. They then asked the other actors involved (patients, relatives, other professionals) for their consent to participate. If all parties agreed and confirmed the high quality of collaboration, the case was included as a best-practice example. The guiding themes in interview were (1) general overview of the care and collaboration taking place in this specific case, (2) coordination and information exchange between actors involved, (3) home visits of professional actors, (4) space (role/use of living space for care and collaboration), (5) problems, (6) changes in conditions/hospitalization and (7) general idea of (interprofessional and professional/non-professional) collaboration. For the professional actors we also included: (8) differences of this case compared to other cases. The interviews were audio recorded, transcribed and pseudomized to enable a detailed analysis of the guiding themes. During the observations, notes were taken. During preparation and follow-up of observations, informal conversations were held with the different professional and non-professional actors. In addition, two nurses from outpatient nursing services were shadowed during the workday (18 hours in total) to gain insights into the organization of their daily routines, and notes were taken. A case-based analysis based on principles of grounded theory was conducted for the evaluation proceeding from individual case analyses to a systematic cross-case comparison [22, 23]. We focused on the practices and measures of the individual actors that fostered collaboration and then compared these across the eight cases.

    Mixed focus groups (WP5)

    Mixed focus groups (facilitators: BT, RD, CH, AM, US, and TH) with samples of representatives from all parties were involved to outline the components of the interprofessional person-centred care concept. The findings of WP1 to WP4 were used as a basis for developing the guideline for the mixed focus groups with the following topics: A: presentation and discussion of barriers and facilitators to collaboration: (1) availability of relatives and professionals, (2) care partnership between relatives and professionals, (3) lack of established processes: fixed contact person, shared (digital) documentation, and communication system and (4) being known and trust; B: presentation and discussion of wishes/ideas for improved collaboration: (1) reducing the burden on patients and relatives regarding care organization and coordination, (2) contact information and appointment coordination, (3) (digital) documentation and communication tools, (4) personal (direct) exchange, (5) interprofessional education and training, (6) fixed contact persons and/or care teams. C: discussion of future interprofessional collaboration in PRHC care: (1) feasibility, (2) implementation strategies, (3) involved actors. The first two topics focus on the content reported in the WPs. The third topic focuses on the needs and preferences of PRHC and relatives in order to ensure person-centred, high-quality healthcare at home. Focus groups were audio recorded, transcribed and checked against the audio record, and the identifiers of persons and locations were replaced with pseudonyms. Analyses were performed using content analyses with a focus of topics and subtopics in the analysis process [20].

    In a second step we used joint displays [24] with regard to the identified categories focusing on the areas of action in which interprofessional cooperation needs to be improved, we were able to compare the results of WP5 simultaneously and in relation to the results of the interviews and focus groups (WP2), of the survey (WP3) and best-practice cases (WP4) in a tabular presentation and write a summary of the content. The findings, containing a preliminary list of potential components of the care concept (areas of action), were sent to the experts of the workshop (WP6) in advance.

    Step 3: modelling the first version of the concept and implementation strategies

    Expert workshop (WP6)

    During an online expert workshop, the participants discussed, adapted and combined the components of the care concept that had been drafted. The experts were allocated to four break-out groups focusing on different topics which the preliminary areas of action were assigned to: (1) expansion of the scope of action for the nursing staff and therapists and continuing education to increase competencies in nursing and in medical and therapeutic activities for the professional groups involved in home care as well as for relatives; (2) coordination and planning of joint home visits; (3) communication by telephone, face-to-face communication, documentation and coordination of appointments; and (4) digital communication/documentation systems. Each group assembled a mix of professional and PRHC/relatives perspectives. Within these group sessions, the participants reflected on the relevance and feasibility of these areas and discussed, based on their experiences and presented results, specific measures that should be implemented. For each measure they discussed the aims, involved parties and their roles, occasions and indications for implementation, potential impact on trust-building between PRHC, relatives and professionals, specific wishes and needs of PRHC and implementation considerations. One facilitator and one person taking minutes were present in each digital (breakout) room. The results of the break-out groups were discussed in a subsequent plenary session, leading to a preliminary list of intervention components and associated measures. In a subsequent online survey during the meeting, the participants assessed the relevance and feasibility of these measures. After the results of this survey were discussed, the measures were prioritized by selection of those that were most frequently chosen by the participants in a second live online poll. In this poll, that closed the workshop discussion on the intervention components, each participant could choose up to three measures (one in the area of care coordination, two in the other areas). Thereafter relevant factors for implementation were discussed in four groups via SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis. Additionally, relevant context factors across measures were identified. Finally, implementation strategies were derived and briefly discussed using the CFIR-ERIC strategy matching tool [25, 26]. The expert workshop was conducted over two half-days and was logged and documented.

    Step 4: first version of the interprofessional person-centred care concept

    The research team refined the components of the care concept through several meetings, considering the findings across all WPs with the main emphasis on the expert workshop. The components of the new interprofessional care concept and the implementation strategy were documented in an intervention protocol according to TIDieR [27] (Additional file 1).

    Step 5: modelling the final version of the concept and implementation strategies

    Co-creation workshop (WP7)

    As the first version of the interprof HOME concept was refined by the research team from the collection of topics from the expert workshop, its suitability for daily use in routine care needed to be proven. We conducted a co-creation workshop in order to explore the relevance, feasibility and robustness of the components. Therefore, a two-day co-creation workshop was held in person at the Department of General Practice in Göttingen, each lasting 4 hours [28, 29]. Here, implementation of the components was simulated against real-life care scenarios. In advance, the first version of the care concept interprof HOME was sent to the participants via email. On the first day, the participants were divided into two subgroups. Each subgroup consisted of individuals from different groups (relatives, registered nurses, GPs, and therapists) to ensure constructive multi-perspective exchange. During the sessions, both subgroups adapted half of the components according to different care scenarios in a simulation game. The findings were documented by mapping methods on both days. On the second day, the interim adapted interprof HOME concept was briefly presented to the (partially new) participants. Now, the two subgroups adapted half of the components again, according to the other care scenario, in a simulation game. In a common session, the subgroup results were analysed, and the new components were consented. These components were sent to the participants for additional comments. Afterwards, the concept was finalized by the research team.

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  • Reeves Faces Industry Pushback Over Minimum ISA Allocation to UK

    Reeves Faces Industry Pushback Over Minimum ISA Allocation to UK

    Rachel Reeves is facing pushback from some major investment platforms on a proposal to revamp individual savings accounts, a setback for the UK Chancellor less than two weeks ahead of her budget.

    The Treasury asked retail investing firms in recent weeks to come up with a voluntary commitment for a minimum allocation to British stocks, according to people with knowledge of the talks. Providers catering to mom-and-pop investors include Hargreaves Lansdown Ltd., AJ Bell Plc, Aberdeen Group Plc’s Interactive Investor, Fidelity International, Vanguard Group Inc. and Quilter Plc.

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  • These Small-Business Owners Are Putting AI to Good Use – The Wall Street Journal

    1. These Small-Business Owners Are Putting AI to Good Use  The Wall Street Journal
    2. Latest Small Business Tech and Innovation News Today | Trends, Predictions, & Analysis  Forbes
    3. Human + AI: The Future Team Equation for SMBs  CustomerThink
    4. AI Customer Analytics Powers SMB Growth  StartupHub.ai
    5. How Is AI Changing the Way Small-Business Employees Do Their Jobs?  BizTech Magazine

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  • Meta CMO Alex Schultz Defends the AI Spending Boom

    Meta CMO Alex Schultz Defends the AI Spending Boom

    Meteoric levels of investment in AI infrastructure have sparked concerns that Big Tech’s latest boom is veering into bubble territory. So, is Meta, along with the rest of Silicon Valley, overspending on AI?

    “Clearly no Meta executive would ever answer that question with a ‘yes,’” Alex Schultz, Meta’s CMO and VP of analytics, said in an interview with Business Insider at the Web Summit tech conference in Lisbon this week.

    Meta plans to spend up to $72 billion this year on AI infrastructure, and has said spending will climb higher next year. CEO Mark Zuckerberg said this year that he’d rather risk “misspending a couple of hundred billion dollars” than be late to the development of superintelligence. Amazon, Google, Microsoft, and privately held AI companies like OpenAI are logging record-breaking capital expenditures on all things AI. That includes chips and data centers, as well as big salaries to attract and retain top AI research and engineering talent.

    There are eyewatering sums of money at play, but Schultz said that, compared to historical bubbles, the current trend is not huge as a percentage of the sector’s market capitalization or revenue. Compared to the US railroad bubble of the late 19th century, “it seems aggressive, but not crazy,” said Schultz of the current AI boom.

    In an October research note, Goldman Sachs analysts estimated that AI-related investment in the US is under 1% of GDP, compared with the 2% to 5% of GDP reached during earlier technology booms, including the railroad expansion.

    Schultz said Meta’s AI investments are already translating into billions of dollars in revenue for the company, as they improve its advertising tools and content ranking algorithms. Meta is expected to ring in around $200 billion in revenue this year and is trading at a market cap of about $1.5 trillion.

    Schultz said the biggest AI-powered revolution for Meta has been its more sophisticated content recommendation system. He said this was necessary because the majority of time spent on Facebook and Instagram now is people looking at “unconnected content” — content that isn’t from a friend, or from a page or group you actively follow.

    “If we hadn’t made that pivot, how much smaller would we be as a company today?” Schultz said. “We managed a massive disruption without becoming irrelevant, and it is incremental to our business.”

    Schultz said the Meta AI app’s newly released Vibes feed — a feed of short-form, purely AI-generated video content — represents “probably a large chunk of the future” for the company and has demonstrated “good retention” of users so far once they use it. (Vibes has been panned by many online as “AI slop.”)

    Video-generation models require more computing power than text or image ones, creating huge energy demands that have the potential to strain power grids and water supplies. The popularity of apps like OpenAI’s Sora has sparked questions about whether the entertainment value is worth it for the environmental trade-offs.

    “Vibes isn’t that big — it’s not draining lakes or using multiple nuclear power stations,” Schultz said. He added that it’s one of many experiments the company is working on to train and learn from its AI models.

    “There’s sort of this Western European Calvinist streak to society that’s like, doing nice things that are fun is not what life’s about,” Schultz said. “And life is about doing nice things that are fun, and we do all the other stuff so that we can do nice things that are fun.”

    The AI wave has prompted what Schultz described as productive conversations about the safety of nuclear power stations and the use of desalination plants to produce freshwater from seawater.

    “In general, humanity has the ability to have a lot more abundance than it does,” Schultz said.


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  • Exploring Valuation After Strong Shareholder Returns

    Exploring Valuation After Strong Shareholder Returns

    Mitsubishi Electric (TSE:6503) shares have seen some movement recently, sparking fresh interest in the company’s fundamentals and long-term outlook. Investors are considering the latest trends that could shape the next phase for this well-known Japanese industrial player.

    See our latest analysis for Mitsubishi Electric.

    The share price has surged over 57% year-to-date, reflecting a strong shift in sentiment that is also evident in the stellar 57% total shareholder return over the past year. While recent weeks saw a slight dip, long-term investors have enjoyed remarkable multi-year gains, suggesting that momentum is still in Mitsubishi Electric’s favour as the market responds to its latest moves and ongoing innovation.

    If you’re interested in expanding your search beyond industry giants, it could be the perfect time to discover fast growing stocks with high insider ownership.

    With the stock not far from analysts’ price targets, investors are left to debate whether Mitsubishi Electric is still trading at an attractive value or if optimistic future growth is already factored in.

    With the current share price sitting notably above its consensus fair value, Mitsubishi Electric’s most discussed narrative points to a premium market valuation. Investors are weighing whether recent performance and bold growth projections truly justify this level.

    Expansion in the Energy Systems and Public Utility segments is driven by ongoing investments in power distribution and the transition toward electrification and energy efficiency, supported by worldwide decarbonization initiatives. This should result in higher recurring revenues and improved net margins as Mitsubishi Electric benefits from secular shifts to sustainable infrastructure.

    Read the complete narrative.

    Curious about what financial assumptions drive this ambitious outlook? The real story hinges on projected gains in revenue and profitability, as well as future profit multiples that hint at a tech-level growth premium. Want to know exactly which performance levers are moving the fair value target? Uncover the surprising factors that may shape Mitsubishi Electric’s valuation narrative.

    Result: Fair Value of ¥3,668.38 (OVERVALUED)

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

    However, intensifying competition and rapid shifts toward digital solutions could challenge Mitsubishi Electric’s profit margins and limit its ability to sustain recent growth.

    Find out about the key risks to this Mitsubishi Electric narrative.

    Looking at earnings multiples, Mitsubishi Electric trades at 21.9 times earnings, which is lower than the peer average of 23 times. However, it is noticeably higher than the Japanese Electrical industry at 13.8 times. The fair ratio stands even higher at 26.5 times, suggesting some room to grow if the market becomes more favorable, or risk if sentiment weakens. Do multiples clarify whether the stock is a bargain, or do they simply add to the debate?

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

    TSE:6503 PE Ratio as at Nov 2025

    If you see things differently or enjoy digging into the numbers yourself, you can build your own take in just a few minutes. Do it your way.

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

    Why stop at one company when you could strengthen your portfolio with fresh, compelling ideas? There are exceptional opportunities just waiting to be uncovered. Don’t let others get ahead of you.

    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 6503.T.

    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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  • Gold prices in Pakistan Today

    Gold prices in Pakistan Today

    In 2006-07, a 1 percent withholding tax was imposed on commercial imports of gold in the country. Photo: Express News

    Gold prices declined in international and domestic markets on Saturday. In the international bullion market, gold dropped $91 per ounce to $4,083.

    In local markets, the price of gold per tola fell by Rs9,100 to Rs430,662, while 10 grams of gold decreased by Rs7,799 to Rs369,223.

    Spot gold was down 1.9% at $4,092.72 per ounce as of 02:33 p.m. ET (1933 GMT), after earlier sliding more than 3%. Despite the fall, bullion is up 2.3% so far this week.

    Read: Gold prices rise despite global dip

    In other metals, spot silver edged down 2.8% to $50.84 per ounce but is still up 5.2% for the week.

    Earlier this week, gold prices in Pakistan edged higher on Tuesday, continuing their upward trend despite a slight decline in international markets.

    Locally, the price per tola rose from Rs5,900 to Rs435,762, while 10-gram gold was sold for Rs373,595, up Rs5,065, according to the All-Pakistan Gems and Jewellers Sarafa Association (APGJSA).

    On Monday, gold had surged by Rs7,400 per tola, closing at Rs429,862. Internationally, gold prices eased slightly on Tuesday after hitting a near three-week high earlier, as traders booked profits.

    Market optimism over the potential resumption of US economic data releases and hopes that the Federal Reserve may cut interest rates next month helped limit losses.

    Adnan Agar, Director of Interactive Commodities, while commenting on market dynamics, noted that gold’s daily high reached $4,148, with a low of $4,097. “After touching the high, prices dipped about $40, when the US session opened.

    There is strong support at $4,155; if breached, gold could rise to $4,200-4,220. However, if resistance holds, it may retract to $4,080-4,050,” he said.

    “We just got into good resistance around the halfway back point and that probably prompted some profit-taking on longs after Monday’s strong gains and perhaps a little bit of speculative selling up there as well,” said Peter Grant, Vice President and Senior Metals Strategist at Zaner Metals.

    Read More: Gold prices rise in global, local markets

    The US Senate on Monday approved a compromise that would end the longest government shutdown on record. The shutdown has triggered a data blackout, leaving policymakers and markets without key indicators on jobs and inflation.

    The central bank trimmed rates at its latest meeting, but Chair Jerome Powell stressed that another cut this year was far from certain. Markets see a 64% chance of a rate cut in December, CME’s FedWatch Tool showed.

    Meanwhile, the Pakistani rupee edged higher against the US dollar on Tuesday, gaining 0.01% in the inter-bank market. It closed at 280.78, up Rs0.03 from the previous session. On Monday, the rupee had ended at 280.81.

    According to Ismail Iqbal Securities, at the close of trading, the Pakistani rupee appreciated 0.01% day-on-day against the US dollar, settling at 280.78.

    On a calendar year-to-date basis, the currency has depreciated 0.79%, while it has gained 1.06% in the fiscal year to date.

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