A：Meta highlighted the release of the Muse family of models, including the first model Muse Spark and a significantly upgraded Meta AI. These developments signify progress toward building a leading lab and include the strongest research team in the industry, with scientific and technical foundations to support very advanced models. Meta AI has been upgraded to become a world-class size assistant that leads in several areas related to the vision of personal super-agents.

A：Meta aims to deliver personal and business agents that can understand and help users achieve their goals by working day and night. These agents are being developed to empower individuals and help entrepreneurs and businesses grow, reach new customers, and serve existing ones better. Meta envisions an ecosystem where both personal and business agents work together to foster a massive increase in entrepreneurship and the creation of new things that people have always wanted to exist.

A：Meta views AI as a tool to amplify human abilities rather than replace people. The company believes AI will help individuals achieve their personal aspirations and that human progress will continue to be driven by personal pursuit. Meta aims to empower individuals with products that will be among the most important and valuable, focusing on personal and business agents that can assist in achieving diverse life goals.

A：Meta plans to use its new AI models to understand users' goals more precisely, improve recommendation systems, and create personalized content. The company intends to phase in this new research and technology over time, with a clear trend of increasing engagement and value for advertisers. Meta is also investing in AI that will update and evolve AI glasses and other devices, allowing users to interact with AI as personal agents throughout the day.

A：AI plays a key role in Meta's physical products, particularly in its AI glasses, which have seen a tripling of daily usage year over year. The AI glasses are being designed for all-day wear and are set to evolve from answering questions to serving as a personal agent that helps users remember things and achieve their goals. New partnerships and styles are expected to reach more people later in the year, and all Meta glasses are designed to easily update with the newest AI models and features.

A：Meta is seeing increased efficiency in work where one or two people can build in a week what used to take dozens of people months. The company is evolving its operations by building the next evolution of the company around people who excel in these rapid developments, streamlining teams, recognizing impactful individuals, and encouraging a culture of trying new ideas and taking on new projects. Meta remains focused on increasing efficiency while pushing for higher quality outputs.

A：The revenue growth for Meta's family of apps is attributed to a 19% increase in the number of ad impressions served across services, driven primarily by growth in engagement and users, as well as ad load optimizations. The global average price per ad increased 12% year over year, supported by performance improvements, better macro conditions, and currency tailwinds in international regions, partially offset by strong impression growth from lower monetizing regions.

A：Q1 operating income was $22.9 billion, representing a 41% operating margin. Q1 interest and other income was negative $1.1 billion, primarily driven by unrealized losses on equity investments.

A：Net income for Q1 was $26.8 billion, or $10.44 per share. Without the tax benefit, net income and EPS would have been $18.7 billion and $7.31, respectively.

A：Capital expenditures, including principal payments on finance, were $19.8 billion. Free cash flow for Q1 was $12.4 billion.

A：The two primary factors that drive revenue performance are the ability to deliver engaging experiences for the community and effectiveness at monetizing that engagement over time.

A：Content recommendation initiatives on Instagram in Q1 resulted in a 10% lift in Reels time spent on Facebook, and total video time increased more than 8% globally. Ranking improvements on Facebook and Instagram drove a 9% increase in video watch time within the US and Canada.

A：Improvements include doubling the length of user interaction sequences, enhancing the description of user interactions, indexing new posts faster, applying advanced content understanding techniques, increasing the diversity and recency of recommended content, and enabling the recommendation of AI-translated videos.

A：Investments include scaling up models in size and complexity, incorporating language models for deeper content understanding, developing the next generation of recommendation systems, building foundation models, and developing LLM-based recommenders. The focus is on validating model architectures and techniques before scaling them out.

A：Meta AI's models have seen meaningful engagement gains with each new iteration, and the Meta AI sessions per user have increased following the broad rollout of the new model. The new model is powering Meta AI in direct chat threads across the family of apps and providing billions of people with access to the latest model.

A：Efforts include enhancing systems to show ads at optimal times and locations, expanding availability of ads on newer surfaces, and using AI to improve performance for ad businesses. This involves deploying AI deeply across ad systems for more complex and predictive models, and utilizing adaptive ranking models to improve conversion rates.

A：The Meta AI Business Assistant has been fully rolled out to provide personalized recommendations, resolve account issues, and optimize campaign results. The Meta Ads AI connectors are now in open beta, allowing advertisers to connect their Meta account to an AI agent directly.

A：There's been a scaling usage of ad creative tools with more than 8 million advertisers using at least one Den AI ad creative tool. Advertisers using video generation features saw more than a 3% higher conversion rate. Meta AI is facilitating customer engagement across various platforms, with strong adoption among small and medium-sized advertisers.

A：Partnership ads have contributed to rapid revenue growth, with the revenue run rate more than doubling year over year in Q1 to $10 billion. Meta is expanding its solutions beyond ads, including affiliate partnerships and helping brands use creators for product promotion.

A：Meta is investing aggressively to meet infrastructure needs, expanding data center footprints, and signing cloud deals for future capacity. These investments are aimed at supporting model training, delivering AI product experiences, and enabling personal and business agents for billions of people worldwide.

A：The expected total revenue for the second quarter of 2026 is in the range of 58 to $61 billion. The guidance assumes foreign currency will provide a 2% tailwind to year-over-year total revenue growth. Full-year 2026 total expenses are expected to be in the range of 162 to $169 billion, and the company continues to expect to deliver operating income above 2025 operating income. Capital expenditures, including principal payments of finance leases, are expected to be in the range of 125 to $145 billion, up from the prior range of 1115 to $135 billion. The anticipated tax rate for the remaining quarters of 2026 is between 13 and 16%.

A：The company is making exciting progress on AI research and product efforts, which it plans to build on over the course of the year.

A：The company is watching several key factors to ensure it is on the right path to generating healthy Return on Invested Capital (ROIC), including building leading models and products, ensuring technical quality for great products, product performance, and then driving monetization and efficiency towards profitability.

A：The company's formula for success involves building experiences that reach billions of people and focusing on monetizing those experiences. The process includes investing to build leading models, then converting them into leading products, with the belief that these will be important products over the next decade.

A：The company is not providing a specific outlook for 2027 CapEx and is currently undergoing a dynamic planning process to assess capacity needs. They have been underestimating compute needs and expect compute to become even more central to the business, influencing model development, product introduction, and organizational productivity. They plan to build out infrastructure with flexibility in mind, with the potential to adjust the pace of spending based on actual needs.

A：The company sees opportunities to deepen engagement with existing users, making ad experiences more personalized and valuable. For consumers, this includes building personal superintelligence and a thriving commerce ecosystem. For businesses, it sees large opportunities in scaling AI initiatives, with the current focus on providing free weekly conversations between people and businesses on messaging platforms. As progress is made, the company expects to establish a longer-term monetization model and consider other services for businesses.

A：The leading factors for the launch of additional Oakley eyeglasses and other brands include ongoing strong performance, the acceleration of productivity through the use of AI tools, and making significant investments in infrastructure while operating efficiently.

A：The expected optimal size of the company in the future is uncertain as there's a lot of change right now with AI capabilities advancing rapidly, and the company is continuously evaluating how it's structured to deliver against its priorities over the coming years.

A：AI tools are substantially increasing productivity, evidenced by the accelerating output from engineers and the ability to build more products and services. Investments in infrastructure and efficiency are also being made to support this.

A：There is strong interest in AI glasses and display glasses, as indicated by the consumer appetite for Meta's Band displays and the progress made with AI glasses. Sales of the latest generation are improving due to features like extended battery life and higher resolution video capture.

A：The projected timeline for new product releases is uncertain due to rapid changes in the field, the desire for high-quality products, and the need for specific dates for certain research. The product cadence over the next nine months is not clearly defined, with more emphasis on consistent meaningful progress by small teams rather than specific timelines.

A：New consumer experiences with agents, such as OpenAI's Chat GPT, provide a glimpse into potential advancements. However, the focus is on creating a polished experience for billions of people that's easy to use with all the necessary infrastructure. The goal is to deliver personal super intelligences that can address a broader audience, not just the limited number of people who can currently set up similar systems.

A：The focus of the lab is to deliver personal super intelligences to billions of people by creating a more polished and user-friendly experience with all the necessary infrastructure pre-built. This is the primary goal for the consumer side and aims to move from serving a small group of users to reaching a much larger audience.

A：The progress in personal AI also relates to business applications, as it can assist individuals in creating websites, products, and can help businesses grow. There is a goal to help people achieve their personal and business objectives through technology.

A：The team's main goals include advancing the agents vision of their work and ensuring self-awareness to build leading AI products. Self-awareness is critical because leading models need to improve themselves to ensure ongoing growth and effectiveness.

A：The expectations are that there will be short-term versions of the agents, but there is also a massive upside for delivering more intelligence and capabilities in the models. Each month, new generations of models are becoming more capable, and people are increasingly able to leverage these advancements to enhance their capabilities. The speaker considers this a key period for establishing agents as a product vehicle for delivering AI capabilities to people, with the model improvement process continuing for a very long time.

A：Specific plans for improving recommendations include enhancing data infrastructure to allow the model to train on more data, adding more detail to content descriptions to scale up complexity, utilizing longer histories of content interactions, and improving the overall quality of recommendations. The goal is to make recommendations more personalized and relevant to each user's interests, redesigning the content retrieval system to show more content that matches a user's full range of interests and tailoring the diversity of topics recommended to individual interests. Additionally, there are ongoing improvements to the language tuning algorithm features to enable users to provide granular feedback on desired content adjustments.

A：The company is still working through the details of how to incorporate larger model architectures into their ads business. Historically, they haven't used larger model architectures for inference due to high costs, but recent advances such as a new adaptive ranking model and improvements in model architecture and co-design with underlying silicon have made it possible to leverage LLMs for large-scale operations without compromising on speed. Efforts are also directed towards intelligently routing requests to more compute-intensive information models based on the potential for conversion, optimizing performance and increasing inference ROI.

A：The learnings from pushing deeper into commerce on Instagram and Facebook included insights into consumer behavior and preferences that can inform the development of a next-generation marketplace. The company is leveraging AI agents to optimize the shopping experience, with a focus on personalization and relevance to individual users. They believe this approach sets them apart from others in the industry and is in line with their vision of empowering individuals to pursue their aspirations and making significant progress in society.

A：Meta has visibility into the continued performance and growth of the core business, which is evidenced by their ability to double the base of the industry while maintaining a significant share. The roadmap involves ongoing investment in infrastructure and advancements in AI to support personal aspirations and goals. They aim to build technology that aligns with these values, and the vision of personal superintelligence is a key element in their investment strategy.

A：Meta's approach is to empower individuals in society by focusing on personal aspirations and goals, rather than attempting to build a centralized AI production system. They are investing in AI technology that will support personal superintelligence, enhancing individuals' ability to pursue personal goals, and contributing to society's progress through personal empowerment. This philosophy differentiates their work from others in the industry and shapes their vision for the future.