Key Takeaways V partners to build a trust framework that authenticates AI shopping agents and validates transaction intent.V's Agent Protocol lets agents signal browse vs pay, pass user authorization and complete checkout securely.Akamai adds edge-based behavioral intelligence to filter malicious bots and protect merchant risk controls.Visa Inc. (V) is diving deeper into the future of digital commerce by teaming up with Akamai to enhance the security of transactions driven by AI-powered shopping agents. As ...

Summary of Key Points from the Conference Call on Agentic Commerce Industry Overview - The discussion centers around the evolution of commerce driven by AI agents, termed "Agentic Commerce," which is expected to transform payment and retail sectors significantly [2][24]. Core Insights and Arguments - **Historical Context**: The evolution of retail from department stores to eCommerce and now to AI-driven commerce is highlighted, indicating a significant shift in how consumers interact with products and services [2]. - **Current State of AI in Commerce**: While a growing number of consumers are using AI tools for product searches, the impact on actual commerce remains minimal, with AI chatbots contributing to only a small fraction of total web traffic [3][30]. - **Future of AI Agents**: The potential for AI agents to autonomously plan and execute tasks on behalf of consumers is discussed, which could lead to a more personalized shopping experience [4][5][44]. - **Impact on Payments**: The rise of AI agents is expected to change payment methods, with traditional card networks likely emerging as winners due to their established trust and governance frameworks [9][10][68]. - **Consumer Behavior**: The shift in consumer behavior towards AI-driven shopping experiences is anticipated to take time, with incremental changes being observed in the near term [7][16]. Important Data and Statistics - **Consumer Usage of AI**: Approximately 47% of consumers in the U.S. have used AI for shopping-related tasks, with the most common use cases being finding gift ideas (21%) and conducting product research (16%) [26][30]. - **Market Potential**: McKinsey estimates that orchestrated revenue from Agentic Commerce within B2C retail could reach $1 trillion by 2030 in the U.S., with a global potential of $3 to $5 trillion [28][29]. Risks and Challenges - **Trust and Governance**: The need for robust governance frameworks and trust in AI agents is emphasized, as these agents will handle sensitive transactions and consumer data [9][68]. - **Disintermediation Risks**: Concerns about disintermediation in eCommerce marketplaces are raised, particularly if consumers begin their shopping journeys on third-party AI platforms [16][60]. - **Fragmentation of Protocols**: The current landscape is characterized by fragmentation and experimentation with various protocols for agent communication and payments, which could complicate the adoption of Agentic Commerce [48][69]. Merchant Responses and Developments - **Cautious Adoption**: Merchants are approaching the integration of AI agents with caution, balancing the potential for increased traffic against risks related to brand recognition and data control [60]. - **Innovative Integrations**: Companies like Etsy and eBay are actively integrating AI capabilities to enhance consumer experiences, while Amazon is taking a more protective stance against external AI agents [61][66]. Conclusion - The transition to Agentic Commerce represents a significant paradigm shift in how consumers shop and how payments are processed, with implications for both traditional and new-age payment networks. The evolution of AI agents will require careful navigation of trust, governance, and consumer behavior dynamics as the industry adapts to these changes [46][70].

Core Insights - Mastercard continues to show strong growth momentum, supported by healthy spending trends among consumers [2] - The company anticipates a robust holiday shopping season, with Black Friday customer spending increasing approximately 4% year-over-year [3] - Mastercard's net revenue for Q4 is expected to benefit by roughly 3% from favorable foreign exchange rates, a revision from earlier estimates [3] Spending Trends - Black Friday sales were primarily driven by e-commerce, which saw a year-over-year increase of 10.4%, while in-store sales rose by 1.7% [4] Analyst Perspectives - UBS analyst Timothy Chiodo reiterated a Buy rating on Mastercard with a price target of $700.00 [1] - JPMorgan analyst Tien Tsin Huang identified Mastercard as a key player in AI-driven agentic commerce, highlighting the company's role in enabling this growth area [5] - Mastercard's Chief Services Officer emphasized the importance of trust and confidence in agentic commerce, starting with Mastercard Agent Pay [5]

Core Insights - Visa Inc. is partnering with Amazon Web Services to enhance security and scalability in AI-driven autonomous transactions through Visa Intelligent Commerce [2][5] - The collaboration aims to provide developers with tools for authentication, tokenization, and data personalization, facilitating intelligent workflows across various industries [3][4] Visa and AWS Collaboration - Visa Intelligent Commerce will be available in the AWS marketplace, allowing businesses direct access to essential tools for secure transactions [2] - Blueprints will be released on the Amazon Bedrock AgentCore repository to assist developers in creating intelligent workflows for sectors like retail and travel [3] Industry Impact - The partnership is expected to set a new standard for secure AI transactions, integrating payment security into automated workflows [5] - Early partners such as Expedia Group and Intuit indicate a growing interest in AI-driven transaction models [4][9] Competitive Landscape - Competitors like Mastercard and Affirm are also advancing their AI commerce strategies, with Mastercard's Agent Pay and Affirm's support for Google's Agent Payments Protocol [6][7] - Mastercard reported a 13% increase in net revenues for the first nine months of 2025 [6] Financial Performance - Visa's stock has increased by 5.8% over the past year, contrasting with an 11.9% decline in the industry [8] - The Zacks Consensus Estimate predicts an 11.7% increase in Visa's fiscal 2026 earnings compared to the previous year [10] - Visa's forward price-to-earnings ratio stands at 25.22, above the industry average of 20.37 [12]

Summary of Mastercard Conference Call Company Overview - **Company**: Mastercard - **Industry**: Payments and Financial Services Key Points Business Structure and Growth Strategy - Mastercard's services organization contributes nearly 40% of revenue, growing in the high teens, adding approximately 700 basis points to overall revenue growth [2][5] - Growth strategy focuses on three core areas: consumer payments, commercial new payment flows, and value-added services [5][21] - Services are data-driven, leveraging transaction data and expanding into areas like security solutions, identity management, and consumer engagement [6][20] Economic Outlook - Mastercard reports healthy consumer and business spending, with balanced labor markets and wage growth outpacing inflation [10][11] - Early figures indicate a strong start to the holiday shopping season, with Black Friday spending up approximately 4% year-over-year [11] - A net revenue tailwind of about 3 percentage points for Q4 is anticipated, lower than previous estimates [11] Interdependence of Payments and Services - The relationship between payments and services is described as a virtuous cycle, where payments generate data that enhances service offerings [15][17] - Mastercard has gained market share in all payment products globally over recent years, driven by data insights and enhanced service offerings [17][21] Value-Added Services Growth - The value-added services business is expected to grow significantly, with 60% of services revenue linked to the network [21][45] - Long-term growth drivers include digitization, e-commerce growth, and increasing cybersecurity threats [20][21] - Opportunities exist to expand relationships with partners across various sectors, including financial institutions and big tech companies [22][23] Go-to-Market Strategy - Mastercard utilizes its extensive network, which processed 160 billion transactions last year, to attach services to transactions and distribute services through various tech platforms [25][26] - A dedicated sales force engages with managed accounts, supported by specialists for technical knowledge [27][28] Innovation and Product Development - Innovation is driven by market demand and customer engagement, leading to new product releases such as on-demand decisioning and Mastercard Threat Intelligence [30][31] - Recent product launches include the Merchant Cloud and Mastercard Commerce Media, aimed at enhancing merchant capabilities and advertising effectiveness [32][34] Differentiation in the Market - Mastercard differentiates itself through its extensive and curated data, which includes payments data, identity data, and insights from the dark web [42][43] - The company emphasizes collaboration with other players in the ecosystem rather than direct competition, leveraging complementary capabilities [43][44] Future Growth Opportunities - The addressable market for value-added services is estimated at $165 billion, with low single-digit penetration, indicating significant growth potential [45][46] - Opportunities for scaling distribution through partnerships with tech platforms and B2B channel partners are highlighted as key growth strategies [46] Additional Insights - The company is optimistic about the future, focusing on innovation and strategic partnerships to enhance its service offerings and market reach [46]

Core Insights - The rapid advancement of artificial intelligence (AI) has significantly impacted various industries, particularly in technology and cloud services, with companies like Alphabet and Amazon leading the charge in AI integration and product offerings [1][2]. Alphabet - Alphabet's AI models, including Gemini, are processing 7 billion tokens per minute, with the Gemini App boasting 650 million monthly active users and a 3x increase in queries since Q2 2025 [3][6]. - The company has seen a 20x increase in monthly tokens processed, from 980 trillion in May 2025 to 1.3 quadrillion [3]. - Google Cloud's backlog grew 46% sequentially to $155 billion in Q3 2025, with a 34% year-on-year increase in new customers [6]. - Revenue from products built on Alphabet's generative AI models increased by over 200% year-on-year in Q3 2025 [6]. - AI is driving significant growth in Google Search, with AI Mode achieving 75 million daily active users and doubling queries since its launch [9][10]. - Alphabet's management plans to launch Waymo services in London and Tokyo by 2026, integrating AI to enhance user experience [14][15]. Amazon - AWS experienced a 20.2% year-on-year growth in Q3 2025, with a run rate of $132 billion and a backlog of $200 billion [22][23]. - The AI segment of AWS's growth is driven by both training and inference, with significant contributions from cloud migrations by enterprises [22]. - Amazon's AI shopping assistant, Rufus, has 250 million active customers, with a 140% year-on-year increase in monthly users and is projected to generate $10 billion in incremental annualized sales [35]. - AWS has launched several AI agents, including Strands and AgentCore, to facilitate the creation and deployment of AI solutions for businesses [24][26]. - Project Rainier, an AI compute cluster with 500,000 Trainium 2 chips, is now operational, supporting AI model development for companies like Anthropic [31][32]. Apple - Apple's management emphasizes the importance of its silicon, particularly the A19 Pro and M5 chips, in enhancing AI capabilities across its products [40]. - The company has introduced numerous AI features, including Live Translation and Visual Intelligence, and is working on a more personalized version of Siri [41][42]. - Apple is investing in its Private Cloud Compute (PCC) to support AI functionalities, including Siri's queries [41][42].

Core Insights - Mastercard reported a 15% increase in cross-border spending and a 7% growth in U.S. debit and credit spending, indicating strong consumer and business resilience [1][7] - The company is focusing on "agentic commerce," collaborating with OpenAI, Google, and Cloudflare to establish safety and security standards for AI transactions [1][4] - Stablecoins are identified as a significant growth opportunity, with year-to-date transactions increasing by 25% [6][7] Financial Performance - Net revenues rose by 15% to $8.6 billion, driven by a 7% increase in U.S. debit and credit spending volumes and a 15% rise in cross-border volumes [7][8] - Value-added services revenues grew by 22% year over year, reflecting the company's expanding service offerings [4] Market Trends - The rental market presents a notable opportunity, as many transactions are still conducted via cash and checks, totaling $11 trillion and 1.5 trillion transactions globally [3] - Contactless payment penetration reached 77% of all in-person switched purchase transactions, up 6 percentage points from the previous year [8] Future Outlook - The company anticipates continued healthy consumer and business spending in the fourth quarter, with net revenue growth expected at the high end of a low double-digit range [8] - The focus on agentic commerce is expected to provide a long runway for service expansion in both consumer and business use cases [5]

Financial Performance - Net revenues increased by 15% overall, with Value Added Services and Solutions net revenue up 22% year-over-year on a non-GAAP currency-neutral basis [4][24] - Operating expenses rose by 14%, with operating income also up by 15%, while net income and EPS increased by 8% and 11% respectively [24][30] - Worldwide gross dollar volume (GDV) grew by 9% year-over-year, with U.S. GDV up 7% and international volume increasing by 10% [25][26] Business Line Performance - Payment network net revenue increased by 10%, driven by domestic and cross-border transaction growth, while Value Added Services and Solutions saw a 22% increase [27][28] - Cross-border volume increased by 15% globally, reflecting growth in both travel and non-travel related spending [25][30] - Switch transactions grew by 10% year-over-year, with contactless penetration reaching 77% of all in-person switched purchase transactions [26][28] Market Performance - Domestic assessments were up 6%, while worldwide GDV grew by 9%, with cross-border assessments increasing by 16% [28] - The macroeconomic environment remains supportive, with balanced unemployment rates and wage growth outpacing inflation [30][31] Company Strategy and Industry Competition - The company is focused on three strategic priorities: consumer payments, agentic commerce, and services, aiming to unlock long-term growth [7][18] - The company is expanding its acceptance footprint across underpenetrated verticals, such as rental payments and closed-loop payment networks [8][10] - The company is well-positioned to capture opportunities in agentic commerce and stablecoins, with a robust pipeline for M&A focused on services [13][68] Management Commentary on Operating Environment and Future Outlook - Management expressed optimism about the future, citing strong fundamentals and a resilient business model [22][30] - The company expects continued healthy consumer and business spending, with net revenue growth projected at the high end of a low double digits range for Q4 [31][32] - There are ongoing geopolitical and economic uncertainties, but the company remains well-positioned for future opportunities [30][31] Other Important Information - The company repurchased $3.3 billion worth of stock during the quarter, with an additional $1.2 billion repurchased through late October [24] - The company is integrating Mastercard Move into leading core banking platforms to enhance disbursement and remittance capabilities [17][18] Q&A Session Summary Question: Insights on U.S. payment volume growth and holiday spending outlook - Management noted steady growth across affluent and mass market segments, with continued consumer spending trends [36][37] Question: Sustainability of Value Added Services growth - Management highlighted strong underlying drivers for VAS growth, including cybersecurity demand and new product launches [40][42] Question: Evolution of agentic commerce and associated risks - Management discussed the complexities of agentic commerce, including legal and security considerations, and emphasized the importance of trust in this evolving space [53][56] Question: Opening new acceptance channels and M&A pipeline - Management acknowledged progress in underpenetrated verticals like rent and reiterated a strategy-led approach to M&A, focusing on services [63][68]

Group 1: Partnership with Kyivstar - Mastercard Incorporated has signed a Memorandum of Cooperation with Kyivstar to enhance Ukraine's financial infrastructure and expand access to digital financial services [2][3] - The partnership will test Starlink Direct to Cell satellite technology to enable transactions in areas lacking mobile coverage or during emergencies [3] - The collaboration aims to develop financial products using big data and analytics, focusing on financial scoring solutions and personalized consumer offers [3][4] Group 2: Merchant Cloud Launch - Mastercard has launched Merchant Cloud, a next-gen payments platform that integrates AI-driven tools for fraud prevention, identity verification, and transaction optimization [5] - The unified system allows agentic payments through Mastercard Agent Pay, enhancing global commerce efficiency and streamlining customer experiences [5] Group 3: Investment Interest - Mastercard has garnered significant hedge fund interest, securing a position on the list of the 13 best Fortune 500 stocks to invest in now [1]

Core Insights - Visa Inc. is launching the Trusted Agent Protocol to enhance security in AI-driven commerce, developed in collaboration with Cloudflare [1][8] - The protocol aims to help merchants verify the authenticity of AI agents, addressing the challenge of distinguishing between trustworthy agents and harmful bots [2][4] - Early partners like Microsoft, Shopify, Stripe, Coinbase, and Worldpay have contributed to the protocol's design, promoting an open and interoperable system [3][8] Company Positioning - Visa is positioning itself as a leader in digital payments by fostering trust in AI-driven commerce, potentially becoming a foundational element for future commerce [4] - Visa's stock has increased by 24.6% over the past year, outperforming the industry average of 1% [7] Competitor Landscape - Competitors such as Mastercard and Affirm are also advancing their AI commerce strategies, with Mastercard introducing the Agent Pay protocol and Affirm supporting Google's Agent Payments Protocol [5][6] Financial Performance - Visa trades at a forward price-to-earnings ratio of 26.59, above the industry average of 21.23, and has a Value Score of D [9] - The Zacks Consensus Estimate for Visa's fiscal 2025 earnings indicates a 13.7% increase from the previous year [11]