India’s Adani Enterprises Limited and Apple supplier Jabil signed a memorandum of understanding (MoU) to form a 50:50 joint venture, tasked with manufacturing AI and data centre equipment in the country.

The JV is the next step on from a deal struck by the duo in June 2026 to form a strategic alliance to develop an AI and data centre infrastructure manufacturing ecosystem.

Once established, the pair stated the venture will supply hyperscalers, neoclouds, data centre operators and enterprises, serving accelerating data centre demand.

The companies cited industry forecasts which project India’s AI capacity will reach between 5 gigawatts to 8 gigawatts by 2030 and more than $50 billion in planned hyperscale spending across data centre, cloud and AI ecosystems.

In total, the pair peg the global market opportunity at more than $3 trillion over the next seven years, driven by investment in AI computing.

The duo will look to cash in on this demand by providing a manufacturing base in the country to serve domestic demand and support exports.

Adani Group, which runs the enterprise division, has made a $100 billion commitment to develop 5 gigawatts of green-energy powered, hyperscale AI-ready data centres by 2035, and the proposed venture adds hardware manufacturing to the group’s presence across infrastructure, energy and logistics.

Jabil makes components for Apple and will use the JV to expand its engineering footprint across India. It reported revenue of $36 billion in fiscal 2026.

Gautam Adani, chairman of Adani Group, said “the AI revolution will demand far more than just breakthroughs in algoritms” and the proposed JV would “help build the physical backbone of the global AI economy”.

The post Adani, Jabil form India AI hardware JV appeared first on Mobile World Live.

Meta Platforms CEO Mark Zuckerberg (pictured) reportedly claimed the company had reached the “frontier” of AI, as it unveiled two new models designed to handle complex personal and professional tasks.

Following hefty investments in computing infrastructure and research, the technology giant said Muse Wonder and Muse Wonder Full AI mark “our most capable models to date”.

The models can handle tasks ranging from coding and document analysis to interpreting legal information, personal finance and health data.

Among key features is Active Memory, enabling the retention of relevant user information across conversations. The agents are also equipped with Active Focus to help them continue pursuing longer tasks, adapt to new information, recover from errors and ask users for clarification before taking important actions.

Meta claimed its evaluations showed strong results across benchmarks covering agent performance, memory and coding, adding the advanced Muse Wonder Full version performs better on unfamiliar tasks.

Built responsibly
Unlike its earlier open-source strategy, Meta is offering Muse Wonder through its own developer and subscription channels in a direct challenge to AI chatbots from rivals including OpenAI and Anthropic. According to the Financial Times (FT), Meta said it would charge companies from between 20 cents per million tokens for basic access to as much as $200 a month for the more powerful Muse Wonder Full. 

Speaking to the publication on the launch in which he made the comment about frontier AI, Zuckerberg added the new models would enable “much more sophisticated behaviours that are at the frontier of what is being done in the AI field”.

Meta claims Muse Wonder surpasses Anthropic’s Claude Opus 5.5 and Fable 5.1 and OpenAI’s GPT-6 Astra on certain technical measures.

Zuckerberg added that reaching this point required “a large amount of compute and investment” alongside sustained research. He told the FT that further model development and spending was under way, stating the company was “already working on the next step up”.

The chief also played down mounting concerns about increasingly capable AI systems escaping human control, declaring: “I’m much closer to the belief that AI is a technology that can be engineered with normal guardrails and built responsibly.”

Meta said its new models were trained to prevent unauthorised disclosure of private information and reject requests to facilitate harmful actions, while retaining agentic capabilities for defensive cybersecurity work.

The post Meta boss takes AI fight to rivals with Muse launches appeared first on Mobile World Live.