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Meta Launches Muse Spark, Its First Major AI Model in Nine Months

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Meta has unveiled its first major AI model in nine months, following a $14.3 billion (€12.24 billion) investment spree and executive hiring push to rival OpenAI and Google. The American tech company introduced the model, called Muse Spark, on Wednesday, claiming it is faster and smarter than its previous technologies.

The company, founded by Mark Zuckerberg, invested $14.3 billion in Scale AI in June 2025 and recruited its CEO and co-founder, Alexandr Wang, to oversee Meta Superintelligence Labs, which houses teams working on foundational AI models. Zuckerberg also embarked on a hiring campaign, bringing in executives from competitors including OpenAI, Anthropic, and Google.

In a blog post, Meta said, “Over the last nine months, Meta Superintelligence Labs rebuilt our AI stack from the ground up, moving faster than any development cycle we have run before. This initial model is small and fast by design, yet capable enough to reason through complex questions in science, math, and health. It is a powerful foundation, and the next generation is already in development.”

Muse Spark is positioned as a significant upgrade over Meta’s last major release, Llama 4, launched in April 2025. The company highlighted that the model excels in advanced reasoning, particularly in scientific, mathematical, and medical queries. To improve its health advice capabilities, Meta worked with over 1,000 physicians to curate training data, aiming for more accurate and comprehensive responses.

The AI model will power the company’s digital assistant in the Meta AI app and website, with planned integration across Facebook, Instagram, WhatsApp, Messenger, and the Ray-Ban Meta AI glasses. A “contemplating mode” will gradually roll out, allowing multiple AI agents to reason in parallel on complex tasks. Meta’s technical blog noted this feature is designed to compete with high-level reasoning in models such as Gemini Deep Think and GPT Pro.

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Zuckerberg emphasized on social media that Meta aims to build AI products that “don’t just answer your questions but act as agents that do things for you.” Unlike conventional chatbots, these AI agents operate autonomously, gathering information based on user preferences to assist without direct human commands.

One notable shift for Meta is the move away from open-source AI models. Unlike earlier releases, Muse Spark is not available for public download, meaning access to the technology is currently restricted. The company said the model is initially available only in the United States.

Muse Spark underscores Meta’s aggressive push into the competitive AI market, combining extensive investment, executive recruitment, and technical innovation to challenge the dominance of established players like OpenAI and Google.

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AI Agents Take Centre Stage as Qatar Expands Training and Testing

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Artificial intelligence agents that can perform tasks on behalf of users were a major focus at the Google Cloud Summit in Doha, as Qatar expands its efforts to train workers and test new AI applications.

The technology is moving beyond generative AI, which produces text, images and answers in response to prompts. AI agents are designed to take additional steps independently to complete specific tasks, creating new opportunities for businesses while raising questions about oversight and the future of work.

Alex Rutter, managing director of Google Cloud’s artificial intelligence business across Europe, the Middle East and Africa, said generative AI is primarily used to create new content through large language models. Agentic AI, by contrast, can be used to carry out processes after receiving instructions.

Rutter cited invoice reconciliation as an example. An AI agent could check information on an invoice against payment and supplier records before a payment is approved. Such repetitive work involving multiple databases could be suitable for automation, he said.

Greater autonomy also increases the need for safeguards. Rutter said Google currently recommends keeping a person involved in reviewing the results produced by AI agents. Instead of checking every piece of data, employees could focus on exceptions identified by the systems.

The level of human oversight would depend on the nature of the task and the risks an organisation is prepared to accept. In fields such as medicine, Rutter said AI should assist clinicians rather than replace their decisions.

The Doha summit also marked three years since Google Cloud opened its cloud region in Qatar. The company announced a new national training programme with Qatar Digital Academy that is expected to provide more than 50,000 learning opportunities in the country by 2030.

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The programme will target several groups, including workers, executives and software developers, as Qatar seeks to expand its pool of people with skills needed to use and manage AI technologies.

Ghassan Kosta, Google Cloud’s regional general manager for Qatar, Oman, Bahrain and Iraq, said the company was expanding its services to support the growing demands of agentic AI. He said data centre infrastructure would need to develop alongside advances in AI.

Qatar’s Ministry of Communications and Information Technology also announced an innovation lab developed with Google Cloud. The facility will allow AI projects to be tested before they are deployed more widely.

Amna Al-Kaabi, head of emerging technologies at the ministry, said the partnership was intended to connect technology experiments with practical needs in different sectors and help projects progress from early testing to real-world applications.

The increasing ability of AI systems to perform tasks is also prompting questions about employment. Rutter said it was difficult to predict the pace of change, but suggested that managing AI agents could become a responsibility for some workers.

He said future workplaces could include employees managing people, AI agents or both, although businesses are still determining which tasks can safely and effectively be assigned to autonomous systems.

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Alibaba Expands European Data Centres and Unveils New AI Chip

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Alibaba is expanding its global cloud infrastructure with plans to establish new data centre regions in Europe, while also developing larger artificial intelligence models and a new AI chip aimed at strengthening its position in the fast-growing technology market.

The Chinese technology group announced on Wednesday that Alibaba Cloud will establish its first cloud regions in Finland, the Netherlands and Turkey. The company also plans to expand its data centre presence in Germany, France, the UAE, Malaysia and Hong Kong over the next 12 months.

Eddie Wu, CEO of Alibaba Group, said machine-based reasoning currently represents less than 3 per cent of total human thinking capacity but could eventually reach levels far beyond current capabilities.

“With this in mind, our target is that by 2032, the global data centre capacity operated by Alibaba Cloud will surpass 20GW, fueling the industry’s exponentially rising demand for AI,” Wu said.

The planned expansion is expected to increase Alibaba Cloud’s computing capacity as businesses and governments accelerate investment in AI systems that require greater processing power and data storage.

Alibaba is also expanding the capabilities of its Qwen family of AI models. Wu said on Tuesday that future versions could contain between five trillion and 10 trillion parameters, potentially making them several times larger than the biggest Chinese models currently available.

The Qwen models have become prominent in China’s AI sector and are among the most widely downloaded Chinese-developed AI models globally.

The company also introduced a new AI chip at its annual conference. Wu described the Zhenwu V900 as “the most powerful AI chip in China today”.

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The chip is being developed as China faces continued restrictions on access to advanced semiconductors from the United States. The Zhenwu V900 is widely reported to offer roughly twice the performance of Nvidia’s H20 chip, which was designed for the Chinese market.

US export controls have restricted Chinese companies’ access to some advanced AI processors, encouraging Beijing and domestic technology firms to accelerate development of locally produced alternatives.

Alibaba’s announcement comes as China seeks to expand its domestic AI infrastructure while competing with technology companies in the United States and other major markets.

The company said the overseas data centre expansion would help provide additional computing resources for customers in several regions and support growing demand for cloud and AI services.

The announcement also comes ahead of an expected meeting between US President Donald Trump and Chinese President Xi Jinping in Washington this week. Trade, semiconductor restrictions and concerns over the national security implications of artificial intelligence are expected to be among the issues discussed.

Alibaba’s investment plans highlight the growing connection between cloud infrastructure, advanced chips and AI model development as technology companies compete to build increasingly powerful systems.

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Global Survey Finds Growing Concern Over AI-Driven Job Losses

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Growing concern over the impact of artificial intelligence on employment is being reported across the world, with more people expecting AI to reduce the number of available jobs than create new opportunities, according to a global survey by the Pew Research Center.

The study, based on interviews conducted between February and June 2026, surveyed more than 50,000 people across 37 countries. It examined attitudes toward AI, including expectations about its effect on employment, economic inequality and its growing role in everyday life.

Moira Fagan, a senior researcher at the Pew Research Center and one of the study’s authors, said public views of individual countries and confidence in their ability to regulate AI appear to be closely connected.

In Bangladesh, Malaysia, Pakistan, Sri Lanka, the West Bank and East Jerusalem, respondents were more likely to trust China than the United States or the European Union to regulate artificial intelligence.

Across the 11 middle-income countries included in the question, a median of 43% said they trusted China to regulate AI, compared with 35% for the United States and 34% for the European Union.

Fagan said favourable views of China were relatively strong in many middle-income countries and had increased in several places compared with the previous year. She said this may help explain the higher levels of confidence in China’s approach to AI regulation.

The survey also found that concerns about job losses were particularly widespread in wealthier countries. In Australia, South Korea and the United States, around seven in 10 adults or more expected AI to result in job losses over the next 20 years.

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People in richer countries were also more likely to worry that AI could widen economic inequality. Fagan said this could partly reflect greater familiarity with the technology.

People who said they had heard or read a lot about AI were more likely to expect it to reduce employment opportunities, according to the research.

Age was another factor in public attitudes. In several countries, including Canada, France, Singapore, Sweden, Indonesia, India and Malaysia, adults aged 18 to 34 were more concerned about AI-related job losses than older respondents.

Views were less divided over the broader presence of AI in daily life. Across the 37 countries surveyed, a median of 37% said they were more concerned than excited about AI, while 41% said they felt equally concerned and excited.

The findings come as debate grows over the pace of AI development and its potential risks. AI company leaders, including Sam Altman, Elon Musk and Dario Amodei, have raised concerns about the risks associated with increasingly advanced systems.

European Commission President Ursula von der Leyen has also called for greater caution over the development of frontier AI models and closer international cooperation on safety.

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