Meta's chief AI scientist reportedly planning to leave the company to create his own startup according to the Financial Times as the social media giant undergoes an AI overhaul. For today's tech check, dear Jerosa looking into what the exit might say about Meta's position in the race. Dear Joe, I'm so glad you're taking this up because I feel like it's a really big live debate since earnings.>> It is and there's a lot of implications. So, first of all, Yan Lun, most people know this, but he's not just anoth ...

Core Insights - Meta's chief AI scientist, Yan Lun, is reportedly planning to leave the company to start his own venture, indicating potential challenges for Meta in the AI landscape [1][2] - Lun's skepticism towards generative AI contrasts with Meta's push for commercialization, highlighting a shift in the company's focus from research to product launches [3][4] - Meta's AI model, Llama, has fallen in rankings, raising investor doubts as the company struggles to keep pace with competitors [4][5] Company Position - Yan Lun is recognized as a pioneer in AI and has been critical of the hype surrounding generative AI, which has put him at odds with Meta's direction [2][3] - Meta's recent strategy involves significant spending on AI, estimated at over $70 billion annually, but lacks a cloud business like competitors such as Alphabet and Microsoft [7][8] - The company's focus on super intelligence (ASI) is seen as a risky "moonshot" approach, contrasting with the more immediate returns seen in enterprise AI [9][10] Market Dynamics - The departure of top AI talent from major companies to start their own ventures suggests a broader trend in the industry, with potential for significant funding opportunities [6] - Investors are increasingly questioning Meta's ability to generate revenue from its AI investments, especially as it competes with companies that have established enterprise AI solutions [7][9] - The integration of AI into products by competitors like Google is highlighted as a successful strategy, contrasting with Meta's current trajectory [10]

Group 1 - Proactive provides fast, accessible, informative, and actionable business and finance news content to a global investment audience [2][3] - The news team covers key finance and investing hubs including London, New York, Toronto, Vancouver, Sydney, and Perth [2] - Proactive specializes in medium and small-cap markets while also keeping the community updated on blue-chip companies, commodities, and broader investment stories [2][3] Group 2 - The team delivers news and insights across various sectors including biotech, pharma, mining, natural resources, battery metals, oil and gas, crypto, and emerging technologies [3] - Proactive adopts technology to enhance workflows and improve content production [4][5] - All content published by Proactive is edited and authored by humans, ensuring adherence to best practices in content production and search engine optimization [5]

Core Insights - The report analyzes the current state of the global Generative AI (GenAI) industry in 2026, highlighting the transition from pilot projects to full-scale production in enterprises, focusing on measurable business value [1][16][28] Enterprise Market & Technology Landscape - By 2025, 71% of organizations are using GenAI in at least one business function, up from 65% in 2024, indicating a significant increase in adoption [7][27] - The global enterprise GenAI market is projected to grow from $4 billion in 2025 to $19.2 billion by 2030, with a compound annual growth rate (CAGR) of 36.8% [7][41][47] - The software segment is expected to dominate the market, accounting for 67% of the total share in 2025, driven by the rise of Agentic AI [45][58] AI Industry Trends - The adoption rate of GenAI is highest in technology, professional services, and advanced manufacturing, with over 79% adoption, while the energy and materials sector lags at 59% [7] - The North American market is expected to hold a 41% share by 2025, while the Asia Pacific region is projected to be the fastest-growing market due to government initiatives [58][59] Investment Trends - GenAI-related investments are expected to reach $56 billion in 2024, nearly doubling from $29 billion in 2023, with infrastructure investments increasing from $6.86 billion in 2023 to nearly $26 billion in 2024 [7][30] - Venture capital investments in GenAI have surged from $239 million in 2014 to $56.1 billion in 2024, indicating strong investor interest [7][19] GenAI Applications - The fastest-growing application areas include code assistants, support chatbots, and enterprise search solutions, with significant investments aimed at automating routine tasks and enhancing customer interactions [5][36][37] - ING Bank has successfully utilized chatbots to handle 45% of its 85,000 weekly customer interactions, showcasing the effectiveness of AI in customer service [5][36] GenAI Technology & Development - Leading models such as GPT-4 and Claude 3 are approaching human-level performance in natural language understanding and code generation, with ChatGPT holding a 60% market share in the U.S. [10][12][41] - The emergence of Agentic AI, which operates more autonomously than traditional GenAI, is expected to grow from $7.6 billion in 2025 to $48 billion by 2030, with a CAGR of 44.5% [10][12]

Core Insights - Innodata Inc. (INOD) has experienced a stock increase of 59.6% over the past three months, significantly outperforming the industry and S&P 500, which gained 6.9% and 5.9% respectively [1] - The company's strong third-quarter performance, with record revenues of $62.6 million (up 20% year-over-year), has contributed to investor enthusiasm [5] - Management has reaffirmed expectations of at least 45% year-over-year revenue growth in 2025, indicating confidence in future growth [6] Financial Performance - Innodata's Q3 revenues reached a record $62.6 million, reflecting a 20% increase year-over-year, alongside improved adjusted EBITDA margins and strong cash generation [5] - EPS estimates for 2025 have increased to 84 cents from 78 cents, although this represents a 5.6% year-over-year decline, with expected earnings growth of 33.3% in 2026 [14] - Revenue projections indicate a rise of nearly 45.2% in 2025 and 24.6% in 2026, contrasting with modest growth for other industry players [15] Strategic Initiatives - The company has secured $68 million in pretraining contracts, with $42 million already signed and an additional $26 million expected soon, positioning it for significant revenue in 2026 [10] - The launch of Innodata Federal aims to tap into government contracts, with an initial project expected to generate approximately $25 million in revenues [11] - Engagements with sovereign entities in the Middle East and Asia are anticipated to provide durable multi-year revenue potential due to state-level funding [12] Market Positioning - Innodata is deepening relationships with major AI model builders, with expectations that six of eight large tech customers will increase spending in 2026 [9] - The company is transitioning from post-training data to high-value pretraining data, reflecting strategic agility and positioning ahead of competitors [10] - Innodata's forward 12-month P/E ratio stands at 63.37x, significantly higher than the industry average of 16.86x, indicating a premium valuation [16] Growth Opportunities - The enterprise AI practice is scaling, with initial engagements in the $1-$2 million range showing potential for repeat business [13] - The company is moving into larger and more strategic programs, enhancing its growth trajectory through expanded relationships with major technology firms [6] - Overall, Innodata is positioned at the center of the generative AI ecosystem, with expanding contracts and entry into fast-growing markets [19][20]

TMX Group and Coding for Veterans Open the Market to Observe Remembrance DayNovember 11, 2025 10:34 AM EST | Source: Toronto Stock ExchangeToronto, Ontario--(Newsfile Corp. - November 11, 2025) - Jeff Musson, Executive Director of Coding for Veterans, and members of the Canadian Armed Forces (CAF), joined Dani Lipkin, Managing Director, Global Listings, Toronto Stock Exchange ("TSX"), to open the market in observance of Remembrance Day.Cannot view this video? Visit:https://www.youtube.com/watc ...

Industry Overview - U.S. holiday sales are projected to exceed $1 trillion for the first time, with an expected growth of 3.7-4.2% year over year, translating to sales of $1.01-$1.02 trillion [3] - Last year's holiday sales rose 4.3% year over year to $976.1 billion [3] - An uncertain macroeconomic outlook, influenced by trade policies and the ongoing government shutdown, has negatively impacted consumer confidence [1] Retailer Recommendations - Five retailers are recommended for investment during the holiday season: Amazon.com Inc. (AMZN), Walmart Inc. (WMT), Tapestry Inc. (TPR), Dollar General Corp. (DG), and Expedia Group Inc. (EXPE), all carrying a favorable Zacks Rank 2 (Buy) [2] Amazon.com Inc. (AMZN) - Amazon is benefiting from growth in Amazon Web Services (AWS), which contributed $33.01 billion in Q3 2025, up 20.2% year over year [11] - Online sales and subscription revenues increased by 9.8% and 11.5% year over year, respectively, while advertising revenue climbed 23.5% [12] - Expected revenue and earnings growth rates for next year are 11.2% and 9.9%, respectively, with a 2.6% improvement in earnings estimates over the last 30 days [14] Walmart Inc. (WMT) - Walmart's diversified business model and strong omnichannel strategy have boosted traffic across physical and digital platforms [15] - The company has enhanced its delivery capabilities, including partnerships and new services, leading to steady grocery market share gains [16] - Expected revenue and earnings growth rates for next year are 4.4% and 12.5%, respectively, with a 0.7% improvement in earnings estimates over the last 60 days [17] Tapestry Inc. (TPR) - Tapestry is experiencing growth driven by strong engagement from Gen Z and millennials, with significant expansion in North America, Europe, and Greater China [18] - The company's international business saw a 10% year-over-year growth in Europe and an 18% surge in Greater China [19] - Expected revenue and earnings growth rates for the current year are 3.4% and 9.5%, respectively, with a 1.6% improvement in earnings estimates over the last seven days [20] Dollar General Corp. (DG) - Dollar General's growth is supported by disciplined cost management and a customer-centric model, with a focus on value pricing and supply-chain optimization [21] - The company is expanding its omnichannel presence through partnerships, which is driving higher store traffic and basket sizes [22] - Expected revenue and earnings growth rates for next year are 4.2% and 8.4%, respectively, with a 0.8% improvement in earnings estimates over the last 60 days [24] Expedia Group Inc. (EXPE) - Expedia benefits from a strong platform model that enhances customer insights and strengthens supplier relationships, driving revenue growth [25] - The company's diverse brand portfolio allows it to cater to a wide range of global traveler needs, boosting traffic and bookings [26] - Expected revenue and earnings growth rates for next year are 2% and 17.8%, respectively, with a 1.2% improvement in earnings estimates over the last 30 days [26]

Core Insights - Datavault AI Inc. is experiencing strong global interest in Real World Assets (RWA) tokenization, which encompasses a wide range of assets valued in the multi-trillion dollar range [1][2] - The company is negotiating numerous contracts that could lead to significant revenue generation, with potential short-term revenue additions in the tens of millions and long-term potential reaching multiple billions [2][6] - Datavault AI has updated its revenue guidance, projecting 2025 revenues to exceed $30 million and 2026 revenues to be no less than $200 million, a substantial increase from $2.7 million in 2024 [7][6] Company Developments - Datavault AI is at the forefront of RWA tokenization, with over a dozen governments and corporations in various stages of negotiation, some nearing execution [6][2] - The company claims to hold dominant intellectual property rights in RWA tokenization, which it plans to enforce and monetize through licensing strategies [3][6] - The company’s technology suite includes the Data Vault Bank®, DataScore®, and DataValue®, which are designed to enhance data monetization and compliance across industries [8][9] Market Context - According to McKinsey & Company, generative AI is expected to contribute between $2.6 trillion and $4.4 trillion annually to key business applications, highlighting the significance of AI-driven automation in enterprise technology [4] - Datavault AI's platform is designed to leverage advancements in AI and Web 3.0 to facilitate secure and scalable data monetization, positioning the company to capitalize on the growing demand for data asset monetization [4][9]

Core Insights - The article highlights the rapid growth and valuation of Legora, a legal tech startup, which has reached a valuation of $1.8 billion after a $150 million Series C funding round led by Bessemer Venture Partners [2][8]. - Legora's approach focuses on creating a collaborative AI workspace for lawyers, allowing them to work alongside AI in a seamless manner, which contrasts with other players like Harvey that focus on specialized AI solutions [3][4]. Legal Tech Landscape - The legal tech industry has evolved significantly with the introduction of large language models (LLMs) like GPT-3.5, which have transformed the way legal tasks are performed, enabling more efficient document processing and analysis [4][5]. - The shift from traditional legal services to AI-driven solutions is expected to fundamentally change the role of lawyers from executors to managers and reviewers of AI-generated outputs [4][5]. Legora's Business Model - Legora's business model emphasizes collaboration with law firms, positioning AI as a tool to enhance efficiency rather than replace human labor, thus addressing the traditional billable hours model in the legal industry [25][26]. - The company has adopted a flexible pricing strategy based on seat licenses, differentiating itself from competitors that use fixed pricing models [26]. Product Features - Legora's platform includes a web application, a Microsoft Word plugin, and a Playbook mechanism that allows lawyers to define executable standards for legal documents, enhancing workflow efficiency [9][18][20]. - The system is designed to support complex workflows, enabling lawyers to conduct legal research, draft documents, and collaborate on projects without switching between different tools [11][12][18]. Competitive Landscape - Legora faces competition from established players like Harvey and Thomson Reuters, but its unique approach and rapid iteration cycle provide it with a competitive edge [30][31][29]. - The legal tech market is shifting towards a preference for agile, innovative partners rather than traditional giants, as firms seek to enhance their operational efficiency through AI [29][30]. Team and Culture - Legora's founding team lacks a legal background, which has allowed them to approach the legal tech space with fresh perspectives and innovative solutions [37][39]. - The company emphasizes a flat organizational structure and a culture of collaboration, encouraging team members to take initiative and contribute to product development and sales [40][42]. Global Expansion - Legora has strategically expanded from Sweden to various European markets before entering the U.S., allowing it to validate its product model and customer needs in a controlled environment [44][45]. - The company has established offices in key markets, including New York and Australia, to support its international growth strategy [44][45]. Advice for Entrepreneurs - The article concludes with advice for entrepreneurs in the AI space, emphasizing the importance of not being locked into a single model provider and focusing on creating unique value propositions within niche markets [46][47].

Financial Performance - Group Q2 service revenue increased by 58% [3] - Europe Q2 service revenue saw a growth of 05% [3] - Group H1 Adjusted EBITDAaL grew by 68% [3] - FY26 Adjusted EBITDAaL is expected to be between €113 billion and €116 billion [3] - FY26 Adjusted FCF is projected to be between €24 billion and €26 billion [3] - The company commits to a progressive dividend policy with a 25% increase for FY26 [3] Operational Progress - VodafoneThree merger was completed on May 31, 2025, with financial results consolidated from June 1, 2025 [3] - In Germany, 350k OXG households were passed [3] - In the UK, VodafoneThree integration is off to a fast start [3] - Africa has 94 million financial services customers [3]