Tag: MarkZuckerberg

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Leaders

MongoDB CEO CJ Desai moves to Meta

Meta has made a significant leadership hire as it steps up its push into enterprise artificial intelligence, appointing MongoDB President and CEO Chirantan “CJ” Desai as its Chief Enterprise Platform Officer.

Desai has stepped down from MongoDB with immediate effect to join Meta, where he will report directly to CEO Mark Zuckerberg. His new mandate is to build and lead Meta Enterprise Platform, a newly created business aimed at bringing the company’s AI models, agents and developer tools to businesses.

The move puts an experienced enterprise technology executive at the centre of Meta’s effort to turn its growing AI capabilities into products that companies can use to build applications, automate work and serve customers.

Zuckerberg described Meta Enterprise Platform as the “next major pillar” of the company’s business. The platform will initially bring together technologies including the Muse AI agent, Meta Business Agent, Muse API and Muse Code for businesses and developers.

Desai’s appointment comes less than a year after he became MongoDB’s CEO. He took over the database software company’s top job from Dev Ittycheria in November 2025, making his move to Meta a relatively early change in his tenure.

MongoDB moved quickly to manage the leadership transition. Its board appointed Ittycheria as interim President and CEO, effective immediately, while beginning a search for a permanent successor. The company has also retained an executive search firm to support the process.

The company said its business outlook remains unchanged and reaffirmed the guidance it issued on September 1. MongoDB is also holding its Investor Day on September 29, where its leadership team is expected to discuss its longer-term strategy, market opportunities and product development.

The leadership change triggered an immediate reaction in MongoDB shares. The stock fell sharply after Desai’s departure was announced, with Reuters reporting an 18% decline in morning trading.

The market reaction reflects the importance investors place on leadership continuity, particularly at technology companies competing in rapidly changing AI and cloud markets.

Desai brings a long enterprise-software career to Meta. Before joining MongoDB, he was President of Product and Engineering at Cloudflare. Earlier, he spent nearly eight years at ServiceNow, eventually becoming President and Chief Operating Officer. His career has also included leadership roles at Oracle, Symantec and EMC.

His background covers several areas that are central to Meta’s new enterprise strategy, including software platforms, infrastructure, AI, security, product development and business applications.

That experience is particularly relevant to Meta’s latest ambition. The company has historically generated the bulk of its revenue from advertising across Facebook, Instagram and its other platforms. Its enterprise AI push represents an effort to take its technology directly to corporate customers and developers.

Meta says its enterprise platform will use the company’s existing strengths in AI models, agents, infrastructure and its relationships with businesses. The company already works with millions of advertisers and hundreds of millions of businesses across its platforms.

Desai said AI will reshape how organisations innovate, grow, serve customers and run their operations. He said Meta’s goal is to turn its AI technology into products and services that companies can deploy within their own businesses, with security and privacy built into its enterprise products.

The appointment also comes as enterprise AI becomes an increasingly important market for technology companies. Businesses are looking beyond chatbots towards AI agents, coding assistants, automated workflows and tools that can be integrated into existing software systems.

Meta has already been moving in that direction. Its Meta Business Agent is designed to help businesses interact with customers through platforms including WhatsApp, Messenger and Instagram, while its Muse tools are aimed at expanding the role of AI agents and developers.

Desai’s arrival gives Meta an executive with experience selling and scaling enterprise technology at several major software companies. His challenge now is to turn that experience into a new business for a company whose core strength has traditionally been consumer technology and digital advertising.

At MongoDB, meanwhile, Ittycheria returns to a company he led for 11 years, from 2014 to 2025. During his tenure, MongoDB grew from roughly $35 million in annual revenue to more than $2.3 billion, according to the company.

The board has described the business as strong and said Ittycheria’s familiarity with MongoDB, its employees and customers will help ensure continuity while the search for a permanent CEO continues.

The leadership changes at both companies highlight how quickly the AI boom is reshaping the technology industry. For Meta, Desai’s appointment signals that enterprise AI is becoming a central part of its next phase. For MongoDB, the immediate priority is maintaining momentum while it searches for its next permanent leader.

 

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Leaders

Trump-Xi dinner draws Musk, Cook, Altman

US President Donald Trump hosted Chinese President Xi Jinping at a White House state dinner, bringing together senior US officials, technology executives and some of the world’s most prominent business leaders. The September 24 dinner came during Xi’s three-day visit to Washington and followed talks between the two leaders on trade, artificial intelligence, Taiwan and other areas of tension.

The guest list stood out for the number of technology leaders in attendance. Tesla and SpaceX chief Elon Musk, Apple chairman Tim Cook and OpenAI CEO Sam Altman were among the prominent names at the dinner. Nvidia CEO Jensen Huang, Amazon founder Jeff Bezos, Meta CEO Mark Zuckerberg, Microsoft CEO Satya Nadella and Google’s Sundar Pichai were also invited.

Musk and Huang were seated at the head table with Trump, Xi and their wives, Melania Trump and Peng Liyuan. AMD CEO Lisa Su and Cook were also among those seated close to the two presidents. The presence of leaders from companies at the centre of the global AI and semiconductor industries gave the dinner a strong technology focus.

The wider guest list included executives from finance, manufacturing, pharmaceuticals, aerospace and consumer industries. JPMorgan Chase CEO Jamie Dimon, BlackRock CEO Larry Fink, Goldman Sachs CEO David Solomon, Citigroup CEO Jane Fraser, Pfizer CEO Albert Bourla, Boeing CEO Kelly Ortberg and General Motors CEO Mary Barra were among the invited business leaders.

The dinner followed a day of meetings between Trump and Xi as Washington and Beijing sought to manage tensions in their relationship. Trade remains a major issue, with both countries dealing with tariffs, supply-chain concerns and restrictions affecting strategic industries.

Artificial intelligence was another important area in the discussions. The US and China are competing for leadership in advanced AI, while American restrictions on exports of high-end chips and technology to China remain a major point of contention. The presence of executives from Nvidia, AMD, Google, Microsoft, OpenAI and other technology companies underscored the business importance of those discussions.

The guest list also highlighted the growing role of private technology companies in US economic and strategic policy. AI companies and semiconductor firms have become increasingly important to questions involving national security, computing infrastructure and technology exports.

Chinese business leaders, however, were largely absent from the dinner. Xi’s delegation instead included senior government and economic officials, including Vice Premier He Lifeng, Commerce Minister Wang Wentao and other officials involved in trade and economic policy.

The difference in representation was notable. While more than 30 American business leaders attended, China’s delegation was dominated by government officials rather than corporate executives. Analysts cited by CNA said the absence of Chinese CEOs highlighted the different roles played by business and government in the two countries’ economic systems.

Trump’s dinner also carried considerable diplomatic symbolism. Xi’s visit was his first trip to Washington in more than a decade and marked the second meeting between the two leaders this year. Their discussions come as both governments attempt to stabilise relations while continuing to disagree over trade, Taiwan, technology and other strategic issues.

During the dinner, Trump described the visit as an honour and spoke about the long history of US-China relations. Xi said the two countries had reached a common understanding on several issues and called for both sides to act as responsible major powers.

The two countries also agreed to extend their existing trade arrangement by two months, while China would continue supplying rare earth materials to the US and current tariff levels would remain in place. The arrangement provides temporary continuity as negotiations continue.

The White House dinner therefore brought together two very different groups: senior Chinese political and economic officials and a large representation of America’s corporate leadership. The contrast reflected the broader nature of the Trump-Xi meeting, where diplomacy, trade policy and technology interests were closely connected.

The presence of Musk, Cook, Altman, Huang, Bezos, Zuckerberg, Nadella and Pichai also put the technology sector at the centre of attention. Their companies are directly affected by US-China trade policy, semiconductor restrictions and the global race to develop artificial intelligence.

While the dinner offered a high-profile display of engagement, several major issues between Washington and Beijing remain unresolved. The state dinner provided a setting for diplomacy and business visibility, but the longer-term direction of US-China trade and technology relations will depend on negotiations beyond the White House event.

 

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Technology

Meta unveils Muse, its new personal AI agent

Meta has launched Muse, a new personal AI agent designed to do more than answer questions. The company says Muse can handle everyday tasks on a user’s behalf, including sending emails, planning trips, managing schedules, shopping online and making payments.

The launch marks a major step in Meta’s push towards AI agents that can act independently instead of simply responding to instructions. The idea is to give users an AI assistant that can understand a goal and then take several steps to complete it.

Muse is initially available in the United States through a dedicated app and WhatsApp. Meta plans to expand the service and add more capabilities over time.

Unlike a traditional chatbot, Muse can interact with other applications and online services. A user could ask it to organise a trip, for example, and the agent could work through calendars, travel services and other connected apps to complete the task.

It can also draft and send emails, fill out forms, manage projects, list items for sale and help with shopping. The system can even complete purchases and make payments when the user gives it permission.

That ability is one of the biggest differences between a normal AI chatbot and an agentic AI system. A chatbot generally waits for a question and provides an answer. An AI agent is designed to take action after understanding what the user wants.

Meta is positioning Muse as a personal assistant that can work across different parts of a person’s digital life. It can connect with services related to email, calendars, shopping, finance, health and fitness, smart-home devices and other applications.

The company says users remain in control of which services Muse can access. Permission controls are built into the system, allowing people to decide what information and applications the AI can use.

Security is a major focus because Muse needs access to sensitive information to perform many of its tasks. Meta says the agent operates through a secure virtual machine, separating its activity from the user’s main device.

The system also has a separate safety mechanism designed to monitor what the AI is doing. This is particularly important when Muse is performing actions such as sending messages or making purchases.

Payments are another area where Meta is taking additional precautions. The company says transactions require user approval, meaning Muse is not supposed to independently spend money without permission.

The launch comes as technology companies increasingly compete to build personal AI assistants capable of carrying out real-world tasks.

Meta CEO Mark Zuckerberg has described the company’s long-term goal as creating “personal superintelligence” — AI systems that can become highly useful companions in people’s daily lives.

Muse is part of that larger strategy. Meta wants its AI products to move beyond simple conversations and become tools that can help people manage work, communication, shopping and personal activities.

The company also has an advantage that many AI rivals do not: a huge network of widely used platforms. WhatsApp, Instagram and Facebook already have billions of users, giving Meta multiple ways to bring AI services to consumers.

WhatsApp is particularly important because people already use it for conversations, businesses and everyday coordination. Bringing an AI agent into that environment could make it easier for users to ask Muse to perform tasks without opening several different apps.

Meta is also looking at bringing its AI capabilities to smart glasses in the future. That could allow users to interact with an AI assistant through wearable devices rather than relying only on a phone or computer.

However, the launch also raises questions about how much control users should give an AI agent.

An assistant that can read emails, access calendars, browse shopping sites and make payments has access to far more personal information than a basic chatbot. A mistake by the AI could therefore have more serious consequences.

Meta has faced questions around privacy and AI safety in the past, making trust an important part of Muse’s rollout. The company has said it delayed the launch while working on security and reliability issues.

Internal testing had reportedly exposed problems ranging from inconsistent performance to potential privacy and security risks. Meta says it has since strengthened the system and launched Muse only after meeting its required safety standards.

Reliability will be another major test. People may be comfortable asking an AI to suggest a restaurant or write an email, but they may be less willing to let it book an expensive holiday or make a financial transaction without close supervision.

The company is therefore entering a market where convenience and trust will have to grow together.

Meta has introduced both free and paid options for Muse. The paid plans are aimed at users who want greater access to the service and more extensive AI capabilities.

The move also reflects the changing economics of the artificial intelligence industry. Technology companies are searching for ways to turn AI into products that people will use regularly, rather than relying only on advertising or basic chatbot services.

Muse could eventually become part of a much broader digital assistant ecosystem covering communication, shopping, travel, work, health and home management.

The technology is still in its early stages, and its success will depend on whether people are comfortable allowing an AI system to act on their behalf.

Meta’s latest launch shows where the next phase of consumer AI may be heading: away from systems that simply answer questions and towards AI agents that can actually get things done.

 

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Technology

Zuckerberg, Chan back $500mn plan to model human cells

Mark Zuckerberg and Priscilla Chan are investing $500 million into a new scientific initiative led by the Chan Zuckerberg Biohub, aimed at using artificial intelligence to better understand how human cells function.

The project, part of Biohub’s broader “Virtual Biology” effort, seeks to build advanced AI models that can simulate human cells. These digital models are expected to show how cells behave in both healthy and diseased states, helping scientists study biological processes in a faster and more detailed way.

Researchers believe this could significantly change how medical science works. Instead of relying only on lab experiments, scientists could run computer-based simulations to test ideas, understand diseases, and explore treatments. This approach could save time, reduce costs, and accelerate discoveries.

The five-year programme will focus heavily on building tools and collecting large-scale biological data. A major portion of the funding will go into generating high-quality datasets, which are essential for training accurate AI models. The initiative will also support collaborations with research institutions globally, allowing scientists to share and use data more effectively.

However, creating detailed models of human cells is a complex task. Current data is limited, and understanding the full behaviour of cells requires massive amounts of precise information. Biohub plans to address this gap by investing in better data collection and open scientific collaboration.

The long-term goal is ambitious, to improve understanding of diseases and eventually help develop better treatments or even cures. While results may take time, experts say this marks an important step toward combining AI with biology.

At the same time, the initiative raises questions about how sensitive biological data will be managed. Ensuring privacy, transparency, and ethical use will be critical as the project grows.

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Muse Spark powers Meta’s AI reset

Meta Platforms has launched a new artificial intelligence model called Muse Spark, as part of its efforts to strengthen its position in the fast-growing AI space.

The move comes under CEO Mark Zuckerberg, who is focusing on rebuilding the company’s AI strategy after earlier setbacks. Muse Spark is the first major product from Meta’s revamped AI division, created to accelerate innovation and compete with global tech rivals.

The new model is designed to power Meta’s AI tools across its platforms. It will be used in the Meta AI app and gradually rolled out to services like Facebook, Instagram, WhatsApp, and Messenger.

Muse Spark can handle both text and images and is built to answer more complex questions. It also offers different response modes, allowing users to choose between quick replies and more detailed explanations.

Meta says the model is faster and more efficient, while still being powerful enough to compete with other leading AI systems. Unlike some of its earlier models, Muse Spark will not be open-source and will mainly be used within Meta’s own platforms.

The launch is part of a larger reset, with the company investing heavily in AI talent and infrastructure. Zuckerberg has said this is just the beginning, with plans to build more advanced AI tools in the future.

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Mark Zuckerberg grilled in social media addiction trial

Meta CEO Mark Zuckerberg testified on February 18 in a Los Angeles courtroom in a landmark case alleging that social media platforms, including Instagram, are designed to be addictive and can harm children’s mental health. The lawsuit, filed by a California woman, claims that her early use of social media contributed to worsening depression and suicidal thoughts. The case has drawn attention nationwide, raising questions about the responsibility of tech companies for the mental health of young users.

During his testimony, Zuckerberg strongly denied that Meta intentionally designs its platforms to be addictive. He said the company prioritizes user safety and has introduced multiple measures, including age restrictions, parental controls, and safety tools to protect younger users. “We do not intentionally make platforms addictive,” he told the court, adding that engagement metrics are not designed to harm users.

Plaintiffs’ lawyers highlighted internal Meta documents discussing user engagement goals and features that encourage users to spend more time on the platform. They argue these features show a deliberate focus on keeping users hooked, despite known risks to mental health. Zuckerberg acknowledged that enforcing age restrictions can be challenging because users can provide false birth dates when signing up, but maintained that Meta actively works to reduce underage use.

The case also examines whether social media companies have a duty to warn users and parents about potential mental health risks. Experts note that the trial could have significant implications for the tech industry, potentially influencing how platforms manage safety features, transparency, and engagement practices in the future.

It is observed that the trial as a test case for social media regulation, as it could set a precedent for other lawsuits across the United States targeting tech giants over addiction and harm to minors. Zuckerberg’s testimony is seen as a key moment in the proceedings, with both sides presenting evidence about the effects of social media use on children and adolescents.

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Zuckerberg–Wang rift surfaces at Meta

Meta Platforms’ ambitious artificial intelligence push is facing internal strain, with reports of growing differences between CEO Mark Zuckerberg and the company’s top AI executive, Alexandr Wang. The friction comes barely months after Meta made one of its biggest bets in the sector, investing over $14 billion to acquire a 49 percent stake in Scale AI and bringing its founder Wang on board as Meta’s Chief AI Officer.

According to reports, the disagreement centres on leadership style, decision-making control, and the long-term direction of Meta’s AI investments. Wang is said to be unhappy with Zuckerberg’s close involvement in day-to-day AI decisions, viewing it as excessive micromanagement that limits autonomy and slows innovation. Zuckerberg, however, is known for taking direct charge of strategic priorities, especially in areas he sees as existential to Meta’s future.

At the heart of the dispute is a difference in vision. Wang and parts of the AI research team reportedly want Meta to focus on building cutting-edge “foundation models” that can compete directly with leading AI developers such as OpenAI and Google. This approach prioritises long-term breakthroughs over immediate commercial returns. In contrast, several long-serving Meta executives prefer a faster rollout of AI tools across products like Facebook, Instagram, and WhatsApp to strengthen advertising and user engagement.

These contrasting priorities have reportedly created an “us versus them” atmosphere inside Meta’s AI division. Some senior leaders are said to question whether Wang, despite his technical credentials, has sufficient experience managing AI initiatives at Meta’s massive scale, where investments are estimated to run into hundreds of billions of dollars over the coming years.

In response to the internal tensions, Zuckerberg has moved to tighten oversight of Meta’s AI operations. A recent organisational reshuffle placed key AI infrastructure and compute resources under direct reporting lines closer to the CEO. While not officially framed as a response to the disagreement, the change effectively reduces Wang’s independent control over critical parts of the AI stack.

The developments come at a crucial time for Meta, which has positioned AI as central to its future growth after years of heavy spending on the metaverse. Industry observers say the situation highlights a broader challenge faced by big tech companies: balancing visionary founders, high-value external hires, and the pressure to deliver both innovation and near-term business results in an intensely competitive AI race.

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