LONDON and NEW YORK, Aug. 19, 2025 (GLOBE NEWSWIRE) -- Navatar, the leading platform for private markets, today announced the launch of its next-generation, fully AI-powered CRM purpose-built for M&A advisory firms. The new platform combines intelligence, automation, and usability—solving one of the biggest challenges firms face when trying to put AI to work: data. A recent Business Insider article warned: “AI intensifies data flaws rather than solving them,” noting that data is one of the top reasons AI pr ...

Did you ever use one of those AI chat bolts like chat GPT. And if you use them, do you say please and thank you to them. I do. I do it all the time.Please summarize, please explain. And after a couple of followup questions, I feel the urge to throw in a thank you. And with me, 70% of people confess to being polite to tools like chatt.Basically, we're thinking an algorithm on a computer in a data center. Now, why do we do this. Is it our polite upbringing.Or maybe our secret fear that when AI controls the un ...

ACT研究 | 问题简报 | 2025年8月 学生对AI的看法如何与高中AI训练、计划的大学专业和性 别相关？ 杰夫·谢尔 概述 在本研究中，学生对人工智能(AI)的各个方面提供了看法，例如它是否值得信赖，它是否会取代人类的工作 或创造更多的工作，以及它是否会对社会产生负面影响或正面影响。此外，他们还就以下问题提供了意见 ：是否懂得使用AI将有助于他们为计划的大学专业做准备并变得重要，以及使用ChatGPT等AI工具是否将 有助于提高他们的技能，如批判性思维和解决问题的能力。该研究调查了学生对AI的看法与三个关键学生 特征之间的关系：学生在高中期间接受的人工智能培训数量、他们计划的大学专业以及他们的性别。 ACT研究 | 问题简报 | 2025年8月 • d 随着在如何使用人工智能方面的中学培训数量增加，学生对人工智能的看法也变得更加积极。例 如，那些中学提供了至少适度人工智能使用培训的学生，与那些中学没有提供任何培训的同龄人相比 ，更倾向于同意了解如何使用人工智能。 t o 人工智能将帮助他们为大学专业做准备，当他们 美国申请大学，并在他们计划的大学专业中很重要 。 研究的关键发现简要描述如下。 简介 人工 ...

Core Insights - Orderfox Schweiz AG's Gieni AI platform was showcased at Microsoft Build 2025 as a reference case for vertical AI integration, demonstrating the capabilities of Microsoft's new Model Context Protocol (MCP) [1][5] - Gieni AI is one of the first vertical AI agents to offer an MCP Connector on the Microsoft Marketplace for Copilot Studio, providing market, competition, and risk intelligence directly within Microsoft 365 tools [2][6] - The integration of Gieni AI with Microsoft Copilot aims to enhance decision-making processes for businesses by delivering real-time insights within their existing workflows [3][9] Company Overview - Orderfox Schweiz AG, based in Zurich, specializes in developing AI-based platforms for the industrial and B2B sectors, including Gieni AI and Partfox [10] - Gieni AI processes data from over 380 million web pages and 5 million company profiles, utilizing proprietary semantic search and classification systems [8] - The platform is designed to help companies make smarter decisions, accelerate go-to-market strategies, and maintain a competitive edge by transforming data into actionable intelligence [9]

Investment Rating - The report indicates a positive outlook for the computer industry, expecting returns to exceed the CSI 300 index by more than 5% over the next six months [28]. Core Insights - Microsoft and Meta have reported better-than-expected earnings, validating the robust performance of AI in overseas markets [5][12]. - The upcoming release of GPT-5 is anticipated to significantly enhance model capabilities, integrating various technologies into a unified system [6][16]. - The Chinese government's approval of the "Artificial Intelligence+" action plan is expected to accelerate the commercialization of AI applications [18]. Summary by Sections Microsoft and Meta - Microsoft reported Q4 FY2025 revenue of $76.4 billion, a year-on-year increase of 18%, with net profit rising 24% to $27.2 billion, driven by cloud and AI services [5][12]. - Azure's annual revenue surpassed $75 billion, growing 34% year-on-year, with a quarterly growth of 39% [12]. - Meta's Q2 2025 revenue reached $47.52 billion, up 22% year-on-year, with net profit increasing 36% to $18.34 billion, largely due to AI-driven advertising revenue growth [14][15]. GPT-5 Release - GPT-5 is expected to launch in early August, featuring enhanced capabilities and integration of various model technologies [6][16]. - Key features may include a context window of up to 1 million tokens and improved performance in programming tasks [17]. "Artificial Intelligence+" Action Plan - The Chinese government aims to promote large-scale commercialization of AI applications, enhancing policy support and encouraging innovation [18]. Market Review - The computer industry index fell by 0.20% during the week, ranking 7th among 31 sectors, but has risen 13.76% since the beginning of the year, outperforming the CSI 300 index by 10.71 percentage points [4][20]. Investment Recommendations - The report recommends companies such as Kingsoft Office, Yonyou Network, and others, anticipating significant growth in AI applications and infrastructure demand [25].

Core Viewpoint - The article discusses the transformative impact of AI on the labor market, particularly in recruitment and layoffs, highlighting significant job losses in the tech industry while also noting a surge in demand for AI skills across various sectors [1][2][3]. Group 1: Job Market Impact - The tech industry has seen massive layoffs, with statistics indicating that up to 80,000 employees have been affected, including 15,000 positions cut by Microsoft, which is simultaneously investing $80 billion in new AI projects [1]. - Despite the layoffs, there is a notable increase in salaries for non-technical positions requiring AI skills, with an average salary increase of 28%, equating to nearly $18,000 more annually [2][5]. Group 2: Growth of AI Skills Demand - AI skills are becoming essential across a broader range of industries, with over half of the positions requiring AI skills in 2024 coming from non-tech sectors, a significant shift from previous years [3][4]. - The demand for AI skills has exploded, with the number of job postings requiring GenAI skills increasing nearly fourfold to over 66,000 in 2024 [6]. Group 3: Skills and Competencies - The most sought-after AI skills include large language modeling and prompt engineering, with 19,500 job postings mentioning large language modeling [7]. - Companies are increasingly valuing hybrid talent that combines technical AI skills with soft skills such as communication, leadership, and problem-solving abilities [9][10]. Group 4: Economic Implications - The article suggests that while AI may disrupt traditional job roles, it also offers opportunities for higher salaries and new career paths for those who adapt [11]. - The ongoing demand for AI skills indicates a potential restructuring of salary levels, with high-paying tech roles being phased out while lower-paying roles see slight salary increases [11].

Microsoft's Performance & Outlook - Microsoft's cloud performance was a significant beat, with Azure growth potentially reaching 40% in the near term [1][2] - Microsoft Copilot has surpassed 100 million users [1] - Microsoft's overall growth came in at 39% [1] - Microsoft is exposed to secular trends, making it a core holding for many investors [2] - Microsoft's CFO, Amy Hood, has regained her momentum, effectively managing margins [3] Meta's Performance & AI Focus - Meta's revenue was a key highlight, driven by its advertising business [3][6] - Meta's Reality Labs experienced $4.5 billion in losses, viewed as a long-term investment [4] - Mark Zuckerberg is prioritizing AI, assembling an all-star AI team [5] - Meta's accelerating growth and AI investments are fueling conviction in the AI super investment cycle [5][6] - Meta anticipates talent acquisition to be its second-largest expense after AI infrastructure [7] AI & Competitive Pressure - The industry believes 2025 is a critical year for AI, with continued bullish capital expenditure commentary into 2026 [9] - Apple faces increased pressure to demonstrate its AI strategy and capabilities [10]

Investment Rating - The report indicates a positive outlook for Microsoft, with strong revenue growth and performance across various segments, suggesting an "Outperform" rating for the stock in the upcoming 12-18 months [15][21]. Core Insights - Microsoft reported a robust Q4 FY25, achieving an 18% year-over-year revenue growth to $76.4 billion, driven by significant contributions from cloud and AI services, with Azure revenue growing by 39% [15][17]. - The company’s cloud business, particularly Azure, has seen accelerated growth due to increased enterprise AI deployments and cloud migration, marking a pivotal moment in its service offerings [3][17]. - Microsoft’s investment in AI infrastructure is substantial, with capital expenditures reaching $24.2 billion in Q4, and expectations for continued increases in FY26 to meet ongoing demand [20][21]. Summary by Sections Productivity & Business Processes - Revenue grew 16% year-over-year to $33.1 billion, driven by strong performance in Microsoft 365 commercial and consumer segments, with M365 Commercial cloud revenue increasing by 18% [16][12]. - LinkedIn revenue rose by 9%, and Dynamics 365 saw a 23% increase, reflecting broad-based demand across workloads [16][18]. Intelligent Cloud - Intelligent Cloud revenue increased by 27% year-over-year to $29.9 billion, significantly exceeding expectations, primarily due to Azure's 39% growth [17][12]. - Azure's growth was fueled by enterprise AI deployments and successful cloud migrations, including a notable SAP migration case [3][17]. More Personal Computing - Revenue in this segment rose by 9% year-over-year to $13.5 billion, with notable contributions from Windows OEM and Xbox [18][12]. - Xbox content and services revenue increased by 13%, supported by successful game launches and higher user engagement [18][12]. AI Strategy & Capital Expenditures - Microsoft continues to expand its AI capabilities, with over 100 million monthly active users engaging with AI features across its products [19][20]. - Capital expenditures for Q4 reached $24.2 billion, with expectations for Q1 FY26 to exceed $30 billion, reflecting the company's commitment to AI infrastructure [20][21]. Outlook - For Q1 FY26, Microsoft anticipates Azure revenue growth of approximately 37% year-over-year, with total revenue guidance set between $74.6 billion and $75.7 billion [21][23].

Core Insights - The integration of AI is significantly transforming the labor market, particularly in hiring and layoffs, with the tech industry facing substantial job reductions as companies rush to automate processes [1][2][4] - Despite the layoffs in tech, demand for AI skills is surging in non-tech sectors, with salaries for jobs requiring AI skills increasing by 28%, translating to an average annual increase of nearly $18,000 [1][5] - The proportion of AI-related jobs in IT and computer science is declining, from 61% in 2019 to 49% in 2024, indicating a shift towards broader applications of AI across various industries [1][5] Group 1: AI Demand Beyond Tech - AI demand is expanding beyond the tech industry, with over half of the jobs requiring AI skills expected to come from non-tech sectors by 2024 [2][4] - Industries such as marketing, human resources, finance, education, manufacturing, and customer service are rapidly adopting AI tools [2][4] Group 2: Salary Trends and Job Opportunities - Job postings mentioning generative AI skills have surged by 800% since 2022, driven by the popularity of tools like ChatGPT and Microsoft Copilot [4][5] - Workers with multiple AI skills can command a salary premium of 43%, highlighting the financial benefits of acquiring AI competencies [5][6] Group 3: Skills and Competencies - Employers are increasingly valuing a combination of technical and soft skills, such as communication, leadership, and problem-solving, alongside AI technical skills [9][10] - The ability to integrate AI proficiency with human judgment and creativity is becoming a competitive advantage for both individuals and organizations [9][10] Group 4: Winners and Losers in the Job Market - Tech workers in roles susceptible to automation face job displacement unless they adapt to new fields that combine business, technology, and interpersonal skills [9][10] - Conversely, millions of non-tech workers stand to benefit from basic AI literacy, leading to new job opportunities and salary increases [9][10]

Core Insights - Generative AI is leading a profound transformation in the UX design field, with Microsoft's digital division at the forefront, exploring the integration of advanced AI technologies like Microsoft Copilot into daily design and development processes [1][2] Group 1: Changes in Design Workflow - The introduction of generative AI has significantly altered the workflow of designers, allowing for a more dynamic and non-linear design process, likened to creating a "living book" where each page evolves [1] - Designers are now focusing on the logic of prompt expression and the design of dynamic adaptive cards, shifting away from traditional linear processes [2][4] Group 2: Collaboration and Efficiency - The transformation extends beyond design processes to the collaboration methods within product development teams, enabling rapid alignment of plans and goals, breaking free from traditional linear workflows [4] - Designers can now synchronize design prompts directly with product managers and engineers, greatly enhancing work efficiency [4] Group 3: User Testing and Experience Optimization - Generative AI shows immense potential in optimizing user testing, allowing for comprehensive coverage of all usage scenarios, leading to more precise and efficient testing [5] - AI can provide insights into user experiences that are difficult to capture through traditional sampling methods, enabling thorough testing of entire applications [5] Group 4: Broader Applications of AI - AI's potential extends to assisting employees in daily tasks, from finding optimal parking spots to managing employee benefits and performance evaluations [6] - The integration of AI in the workplace is seen as a means to redefine roles and enhance problem-solving capabilities, with a focus on proactive thinking [6]