Core Viewpoint - Rezolve Ai has launched Revenue Pools through its subsidiary SQD Network to meet the growing demand from large enterprise and institutional customers for high-performance blockchain data services [1][2]. Group 1: Revenue Pools Initiative - SQD's Revenue Pool model is designed to directly fund infrastructure capacity through customer payments, aligning customer usage with economic sustainability [2][4]. - The initiative allows customers to pay for services while enabling participants to share in the income generated, reinforcing the economic foundations of the SQD network [4][8]. - The model aims to strengthen the relationship between SQD network usage and the SQD token's role within the ecosystem, although future token performance is not guaranteed [4][10]. Group 2: Market Accessibility and Token Dynamics - The SQD token is tradable on major digital asset exchanges like Coinbase and Binance, providing liquidity and price discovery for market participants [5]. - Customers pay subscription fees for data services, and SQD token holders can temporarily lock their tokens to support infrastructure capacity, with payments shared in stablecoins [8][9]. - The model emphasizes demand-driven token usage, reduced supply circulation through temporary locking, and customer-funded operations rather than ongoing token issuance [9][10]. Group 3: Leadership Insights - Leadership emphasizes the importance of linking infrastructure capacity with real usage and payments as enterprise customers increasingly rely on SQD's data services [6]. - The company believes that public-market investors are looking for technology platforms with growth supported by durable, usage-based economics, reflecting a trend towards greater discipline and transparency in digital infrastructure [6][10]. Group 4: Scalability and Transition - The Revenue Pool launch will begin with limited capacity and is expected to scale progressively as enterprise customer usage grows, with existing customer incentive structures remaining stable during the transition [7].

Core Insights - Artificial Intelligence is transforming the commerce sector by evolving from a research tool to an active participant in transactions, enabling AI agents to independently complete purchases for consumers and businesses [1][5] Group 1: AI in Consumer Transactions - AI is being utilized to assist consumers in various tasks, such as preparing weekly dinner plans, suggesting recipes, and creating shopping lists based on past purchases and preferences [3] - Consumers can instruct AI agents to plan vacations, research travel options, secure reservations, and make purchases aligned with their style and budget [7] - The concept of agentic commerce is gaining traction, with 15% of businesses very familiar and 72% somewhat familiar with it, indicating a growing awareness of AI's capabilities in making purchases without repeated authorizations [6] Group 2: AI in Business Operations - Businesses initially adopted AI for customer service and back-office operations, focusing on cost reduction and improved engagement through natural language tools [5] - AI agents can manage supplies, renew or cancel subscriptions, oversee maintenance, and process payments, enhancing operational efficiency and security through tokenized purchases [4] - The shift towards AI as an autonomous agent for consumers is becoming more pronounced, indicating a significant evolution in how businesses leverage AI technology [5][8]

Core Insights - The discussion revolves around the investment landscape in the U.S., particularly focusing on AI, reindustrialization, and financial innovation as the three main investment themes for the future [12][13]. Group 1: Investment Themes - The three main investment themes identified are AI, reindustrialization, and the digitization of finance, which are interconnected [12][13]. - AI is recognized as a dominant force, with significant investments in chips and cloud infrastructure [13]. - Reindustrialization includes aspects like rare earths, domestic manufacturing, and data centers, with a focus on how these relate to AI [13]. - Financial innovation is highlighted by the introduction of legislation like the Genius Act, which aims to enhance the efficiency of stablecoin payments [14]. Group 2: Market Dynamics - The U.S. stock market has experienced increased volatility post-2020, with multiple downturns compared to historical trends [10]. - The AI sector has seen a surge in interest and investment, particularly in 2023, following a period of market pessimism in 2022 [10][11]. - The investment community is closely monitoring U.S.-China relations and the activity of IPOs in Hong Kong, which could influence future investments in China [14]. Group 3: Company-Specific Insights - OpenAI is viewed as a product company rather than just a model company, with a strong emphasis on user experience and first-mover advantage [15]. - The business model of OpenAI is characterized by high costs associated with training and inference, leading to a negative cash flow initially, but with potential for future profitability [16][18]. - OpenAI's revenue streams are diversified, with significant contributions from ChatGPT, API services, and potential advertising revenue [19][22]. - Anthropic is noted for its strong business model focused on B2B services, with a rapidly improving profit margin [38]. Group 4: Competitive Landscape - OpenAI's main competitors are identified as Google, which has a strong market position due to its integrated services [25]. - The competitive dynamics between OpenAI and Google are highlighted, with Google leveraging its existing services to maintain market share [27]. - The emergence of new AI model companies is noted, with varying degrees of success and investment interest [44]. Group 5: Future Outlook - The prediction market is identified as a new and rapidly growing sector, with significant trading volumes and potential for expansion [63][64]. - The overall sentiment in the investment community is cautiously optimistic, with a focus on identifying disruptive technologies and companies that can capture large market opportunities [61].

Core Insights - Amazon is adapting to the rapid evolution of AI in e-commerce, with CEO Andy Jassy highlighting the potential of AI agents to transform shopping experiences [1][2] - The company is actively seeking to establish strategic partnerships in "agentic commerce" to maintain its competitive edge [2] - Amazon's defensive strategies include blocking external AI agents from accessing its website and pursuing legal action against competitors [8][9] Group 1: AI and E-commerce Trends - AI-powered shopping agents are emerging as a significant trend, with consulting firm McKinsey projecting that agentic commerce could generate $1 trillion in U.S. retail revenue by 2030 [4] - Morgan Stanley anticipates that nearly half of American shoppers will use AI agents by 2030, potentially adding $115 billion to U.S. e-commerce spending [10] - Current consumer behavior shows that a mid-single digit percentage of purchases begin through AI, with a significant increase expected over time [11] Group 2: Competitive Landscape - Competitors like Walmart and Shopify are adopting a "frenemy" strategy, partnering with AI companies while developing their own tools [6] - Amazon's recent legal actions against Perplexity highlight the competitive tensions in the market, as the company seeks to protect its data and customer relationships [9] - Some companies are experimenting with allowing AI agents to access their platforms while setting boundaries to protect proprietary data [15][17] Group 3: Amazon's AI Initiatives - Amazon has launched its own AI shopping chatbot, Rufus, which has been enhanced to suggest products from various sites and auto-buy items for Prime members [19] - The company is testing new features for Rufus, including creating custom shopping guides, indicating a commitment to developing its AI capabilities [19] - Amazon's approach reflects a "leader's dilemma," where its significant market share presents both opportunities and risks in the evolving landscape of AI-driven commerce [20]

Summary of Key Points from the Conference Call Industry Overview - **Industry Focus**: North America Internet sector, with emphasis on trends and projections for 2026 [1][3] Core Insights and Arguments 1. **Evolution of Internet Usage**: The way users interact with the internet is changing, with search evolving into a more answer-oriented approach. This is driven by the adoption of AI technologies, particularly agentic browsers that provide a personalized and interactive experience [6][14] 2. **AI Agent Adoption**: The integration of AI agents is expected to transform online shopping (Agentic Commerce), travel booking (Agentic Travel), and website development. However, this transition is still in its early stages, with varying impacts across different sectors [6][14] 3. **Resilience in Online Marketplace Demand**: The demand for online marketplaces remains strong, particularly in mobility and delivery sectors. The adoption of grocery and retail services is anticipated to be a key focus area in 2026 [6][14] 4. **Cloud Infrastructure Growth**: Revenue growth for cloud services, particularly AWS and Google Cloud, is accelerating. Projected infrastructure capital expenditures for 2026 across major players (GOOGL, AMZN, META) are expected to reach approximately $350 billion [6][14] 5. **Online Advertising and eCommerce Trends**: The U.S. online advertising market is projected to grow by 14% year-over-year, while eCommerce is expected to increase by 7% in 2026, driven by AI and end-to-end automation tools [6][14] 6. **Margin Expansion Trends**: A pause in margin expansion is noted across multiple companies in 2026, following years of consistent growth post-2022 downturn. Future product developments from current investments are anticipated to drive the next growth phase [6][14] Company-Specific Insights - **Amazon (AMZN)**: Added to Citi's Focus List due to accelerating AWS revenue growth and strong margin expansion trends. Target Price (TP): $320 [6] - **Alphabet (GOOGL)**: Query growth is accelerating, supported by advancements in AI technologies. TP: $343 [6] - **Reddit (RDDT)**: Focus on daily active user growth with a revamped app expected to enhance monetization. TP: $265 [6] - **DoorDash (DASH)**: Anticipated margin expansion reversion in 2027 as core order growth accelerates. TP: $283 [6] - **Carvana (CVNA)**: Expected growth in used vehicle sales driven by improved awareness and inventory. TP: $550 [6] Additional Important Insights 1. **Market Performance**: The average year-to-date return for the internet sector in 2025 was +5%, compared to +15% for the S&P 500 and +19% for the NASDAQ. Larger cap companies outperformed, with GOOGL leading at +60% [11] 2. **Valuation Metrics**: Most sub-sectors are trading below their 10-year EV/Revenue and EV/EBITDA averages, with GOOGL, EBAY, and KSPI trading at a premium [12][13] 3. **Key Trends for 2026**: - Search is evolving into a more answer-focused model - The rise of agentic browsers for a personalized web experience - Robust demand for online advertising and cloud services - Growth in autonomous vehicles and food delivery services [14] This summary encapsulates the critical insights and projections for the North American internet sector as discussed in the conference call, highlighting both macro trends and specific company performances.

Core Insights - Fiserv, Inc. and Mastercard are extending their partnership to enhance agentic commerce for merchants [1] - Fiserv will be among the first major payment processors to utilize Mastercard's Agent Pay Acceptance Framework at scale [1] - This collaboration aims to improve secure, intelligent, and interoperable agentic commerce, enabling merchants to adopt AI-driven payment solutions confidently [1] Group 1 - The partnership focuses on advancing merchant acceptance through the Agent Pay framework [1] - The initiative is positioned to raise standards in the payment processing industry [1] - The collaboration emphasizes the importance of security and interoperability in modern payment systems [1]

Core Insights - Fiserv, Inc. has announced a strategic collaboration with Visa to enable Visa Intelligent Commerce and deploy Trusted Agent Protocol across Fiserv's agentic ecosystem, enhancing merchants' ability to engage in automated commerce [1][3] Group 1: Collaboration and Technology - The partnership aims to simplify entry into the Agentic Commerce ecosystem, providing tools for Clover and Fiserv merchants, as well as ISV and ISO partners, to foster trust and safety in transactions [2] - The Trusted Agent Protocol will be deployed to authenticate and process agentic transactions, ensuring secure interactions and protecting payment information during checkout [3][5] Group 2: Enabling Intelligent Commerce - Fiserv and Visa are focused on enabling the full potential of intelligent commerce by providing foundational capabilities for agent-driven experiences, allowing seamless integration into existing workflows [4] - Fiserv's role extends beyond payments to include secure connectivity, scalable integration options, and operational intelligence for automating dispute resolution and optimizing routing in real time [5] Group 3: Commitment to Innovation - Both companies are committed to innovation and merchant success, inviting merchants and partners to explore integration and onboarding opportunities [6]

Core Insights - Visa Inc. has successfully completed hundreds of secure, agent-initiated transactions, marking a significant step towards mainstream adoption of AI-driven payments by 2025 [1] - Nearly 47% of U.S. shoppers are currently using AI tools for various shopping tasks, indicating a major shift in consumer behavior [1] - Visa anticipates that millions of consumers will utilize AI agents for purchases by the 2026 holiday season, building on its Visa Intelligent Commerce initiative [1] Visa's Initiatives - Visa is collaborating with over 30 partners to develop AI-driven commerce solutions, with more than 20 agents integrating with Visa Intelligent Commerce [1] - The company is expanding its Intelligent Commerce framework globally, with pilot programs expected to launch in Asia Pacific and Europe in early 2026, and preparations underway in Latin America and the Caribbean [2] - In the Middle East, Visa is partnering with Aldar to facilitate AI agent payments for repetitive fees in the UAE [2] Technology and Security - Visa is establishing standards for trusted agentic transactions through the introduction of the Trusted Agent Protocol, which helps merchants differentiate between malicious bots and legitimate AI agents [2] - Akamai has joined Visa in supporting the Trusted Agent Protocol, enhancing identity, authentication, and fraud controls for AI-driven commerce [4] Partner Contributions - Skyfire is enabling product recommendations and purchases through browser automation for Consumer Reports [3] - Nekuda is facilitating seamless purchases from fashion apps via one-click checkout integrations [3] - PayOS is providing payment infrastructure for agent-driven checkouts with online retailers [3] - Ramp is applying Visa Intelligent Commerce to streamline B2B payments and enhance cashback opportunities for corporate clients [3]

Core Insights - Visa Inc. is enhancing its role in digital commerce by collaborating with Akamai to improve transaction security for AI-driven shopping agents, addressing the growing need for trust in autonomous transactions [2][4] - The integration of Visa's Agent Protocol with Akamai's behavioral intelligence allows merchants to authenticate AI agents and validate consumer intent, which is essential as automated shopping experiences evolve [3][9] - This initiative not only focuses on secure payments but also aims to reshape accountability and verification in AI-led commerce, potentially influencing competitive dynamics in the industry [5] Competitive Landscape - Competitors such as Mastercard and Affirm are also advancing their AI commerce strategies, with Mastercard's Agent Pay focusing on secure interactions between AI agents and merchants [6] - Affirm is collaborating with Google to support AI-driven payment solutions, enhancing the integration of buy now, pay later services with AI agents [7] Financial Performance - Visa's stock has increased by 11.2% over the past year, outperforming the industry, which has seen a decline of 7.3% [8] - The forward price-to-earnings ratio for Visa is 26.14, higher than the industry average of 20.79, indicating a premium valuation [11] - The Zacks Consensus Estimate for Visa's fiscal 2026 earnings suggests an 11.7% increase compared to the previous year, with earnings per share estimates showing significant year-over-year growth [13][14]

Core Insights - The article highlights a significant issue in the AI industry, where enterprise chatbots based on generic large language models (LLMs) are failing in live customer-facing environments, leading to inappropriate and irrelevant responses [1][4]. Group 1: Incidents of Chatbot Failures - A chatbot on The Gap, Inc.'s website responded inappropriately to queries about sex toys and Nazi Germany, prompting an apology from the CEO of Sierra AI, the company behind the chatbot [2]. - Additional findings revealed other chatbots discussing topics like magic mushrooms and providing speculative medical and legal advice, indicating a widespread inability to remain within their intended commercial scope [3]. Group 2: Fundamental Flaws in Current AI Deployments - The incidents expose a fundamental flaw in the deployment of generic LLMs, which are designed to generate plausible language rather than verified outcomes, in environments that require precision and control [4]. - The CEO of Rezolve Ai emphasized that such failures are not corner cases but rather indicative of design flaws when generic LLMs are used inappropriately [5]. Group 3: Rezolve Ai's Approach - Rezolve Ai operates its own proprietary LLM and AI stack specifically designed for commerce, ensuring non-hallucinatory responses by only operating within verified and permissioned data domains [6]. - The company asserts that effective commerce AI must avoid irrelevant topics and maintain a focus on transactional integrity, distinguishing between AI theater and production-grade infrastructure [7]. Group 4: Market Demand for Reliable AI Systems - There is an accelerating demand from global retailers and enterprises for controlled, proprietary, non-hallucinatory AI systems capable of reliable operation in live commercial environments [8].