Summary of Key Points from the Conference Call Industry Overview - The conference call focuses on the **US Technology Equities** sector, particularly the **software and AI** landscape, highlighting the transition towards AI productization expected by **2026** [1][2]. Core Insights - **AI Productization Timeline**: 2026 is projected as the pivotal year for AI productization within enterprise software, moving from early-stage deployment to widespread enterprise integration [1][2]. - **Current AI Deployment Challenges**: Companies are still in the early stages of AI experimentation, facing challenges in hiring skilled talent and achieving meaningful results from initial projects [1][2]. - **Shift in Investment Focus**: There is a notable shift from hardware to software investments as companies begin embedding AI into their existing workflows, with significant advancements seen in companies like **Oracle, Microsoft, Salesforce, and ServiceNow** [1][2][5]. - **Monetization Visibility**: Vendors controlling structured enterprise processes are expected to have improved monetization visibility as AI becomes a value-added feature in their product suites [2]. Financial Performance Highlights - **Q3 Earnings Performance**: Most companies reported modest revenue beats but significant improvements in non-GAAP operating income and EPS, indicating early economic benefits from AI deployments [7][9]. - **Revenue Growth Constraints**: Despite increased interest in AI, enterprise budget expansions remain modest, limiting revenue growth [9]. - **Profitability Boost from AI**: AI-driven efficiencies are enhancing unit economics, leading to higher non-GAAP operating income and EPS, even without substantial revenue increases [9]. Company-Specific Insights - **Preferred AI Stocks**: The report identifies **Oracle (ORCL), Microsoft (MSFT), ServiceNow (NOW), and Salesforce (CRM)** as preferred stocks likely to benefit from their strategic positioning in the AI landscape by 2026 [2][5]. - **Earnings Revisions**: Companies like **Microsoft** and **Palantir** have seen significant upward revisions in revenue and EPS forecasts, reflecting strong AI-related demand [13][14]. - **CoreWeave's Performance**: CoreWeave reported revenue of **USD 1,365 million** for Q3, exceeding consensus but below estimates, with concerns about asset turnover and future guidance indicating potential revenue decline [18][19]. Market Dynamics - **AI Infrastructure Demand**: The demand for AI infrastructure and data workloads is solid, with companies like **Oracle and CoreWeave** aggressively scaling capacity [15]. - **Investor Sentiment**: There is a growing investor focus on how companies will deploy AI to solve business problems, with many still not fully recognizing the link between AI deployment and enterprise software [2]. Conclusion - The technology sector is on the brink of a significant transformation driven by AI, with 2026 expected to be a critical year for monetization and integration into enterprise workflows. Companies that are well-positioned in the software space are likely to capitalize on this trend, while challenges remain in the broader economic environment and enterprise budget constraints.

Core Insights - KPMG has launched KPMG AI Trust, a suite of services aimed at ensuring AI reliability, accountability, and transparency as organizations scale AI applications, leveraging the Trusted AI framework and ServiceNow's AI Control Tower [1][2][4] Group 1: AI Governance and Risk Management - The KPMG AI Trust services utilize AI to help clients enhance value and manage risks across various domains including compliance, legal, and security, ensuring AI systems are secure and ethically sound [2][6] - A KPMG survey indicates that 82% of leaders view risk management as their biggest challenge, while 73% prioritize data privacy and security when selecting a Generative AI provider [3][6] - KPMG emphasizes the need for robust governance in AI, stating that it is critical for AI to be trustworthy as it becomes integral to business strategy and value creation [4][5] Group 2: ServiceNow Collaboration - KPMG AI Trust is enabled by ServiceNow's AI technology, which allows for automated compliance processes and continuous monitoring of regulatory adherence [8][10] - The collaboration with ServiceNow aims to create a transformative AI service delivery platform, KPMG Velocity, which will support enterprises in adapting to the intelligent economy [7][10] - The solutions provided are compatible with various large language model platforms and can integrate with ServiceNow's risk management software [9] Group 3: Features of KPMG AI Trust - The KPMG AI Trust suite includes features such as risk-tiered AI solution intake evaluation, AI inventory and controls, pre-launch validations, and dynamic regulatory assessments to ensure compliance and risk management [15] - These capabilities are designed to protect employees, companies, and consumers as AI adoption accelerates [6][10]