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”.
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.
Microsoft took the wraps off the third-generation of its in-house AI chip, as part of a plan to reduce its reliance on buying processors from Nvidia.
The Maia 300 chip will be used for the tech giant’s multi-gigawatt deployments in 2027, making it the primary inference system for Microsoft products and services. Reuters reported it plans to potentially deploy more than 1 million of the chips next year.
According to a blog post from EVP Scott Guthrie, the company expects Maia 300 to deliver 40% more tokens per megawatt compared to leading GPU-based systems without naming Nvidia.
The Maia 300 is built as a single system, with software, silicon, physical rack infrastructure, networking, and data centres co-designed to operate as a single platform.
Guthrie noted a 96-chip rack offers seven times the rack-scale token throughput of Microsoft’s Maia 200. He said the new chip is “designed with an inference-first architecture optimized for long-context, memory-intensive and decode-heavy AI workloads”.
The Maia 200 chip powers the company’s production workloads, including Microsoft 365 Copilot, as well as OpenAI models running on Microsoft’s Azure cloud computing service.
Indian IT firm HCLTech struck an agreement with Anthropic to establish a separate business unit designed to accelerate enterprise adoption of agentic AI, with a focus on safety, cybersecurity and governance.
HCLTech stated its services team will build industry solutions and offerings powered by Anthropic’s Claude, Cowork and Claude Code, while its HCLSoftware business unit will embed these capabilities into select enterprise products.
The company will further establish a dedicated “Anthropic Business Unit and Centre of Excellence” to accelerate use of Claude in enterprise environments, providing secure sandbox environments to enable development.
Clients will also be aided by the partnership with the adoption of AI-native engineering practices, training workforces and building organisational capabilities to operate agentic AI safety at scale.
As what is known as an Independent Software Vendor (ISV) partner, HCLSoftware will be given access to advanced models. It cited select products across cybersecurity, automation, business process application and application development as services that will benefit from advanced Claude capabilities.
Claude will also be used across IT support and for digital employee services, workflows supported by policy guardrails, exception handling and human oversight for high-impact changes.
CEO and managing director at HCLTech, C Vijayakumar, said few technology companies can combine the scale of a global systems integrator with the product depth of an ISV.
“That gives us a rare advantage to securely engineer and deploy Agentic AI at scale and deliver the business outcomes that matter most to our clients.”
HCLTech’s deal with Anthropic follows an agreement worth $1.1 billion in July with a major unnamed European company to deploy AI services and boost enterprise services for the business.
Nvidia is reportedly in talks to either acquire or increase its investment in open-source start-up Reflection AI, as it seeks to strengthen its position in open-weight AI models and challenge lower cost Chinese rivals.
Sources told the Financial Times (FT) discussions remain at an early stage and could lead to a full acquisition, further equity investment or a deal covering chips and computing capacity. An acqui-hire, under which Nvidia would recruit staff and license technology, is another option.
A deal could apparently be reached in the coming weeks, though the terms under discussion remain unclear.
According to the report, Nvidia has already invested $800 million in Reflection AI, which was valued at $25 billion in a March funding round. Founded in 2024 by former Google DeepMind researchers, the start-up develops AI models and tools for software development.
Reflection launched its first open-weight model, Beam, last week, targeting coding and agentic tasks as it looks to compete with Chinese models such as DeepSeek and Kimi.
Open-weight models allow businesses and developers to customise AI systems and run them on their own infrastructure, potentially cutting costs compared with closed services such as OpenAI’s ChatGPT and Anthropic’s Claude.
Although Nvidia has its own Nemotron family of open-weight models, FT said it lacks a frontier-scale model of its own. In an essay published in July, CEO Jensen Huang called for a domestic open-weight “ecosystem” across the US, arguing it was essential for “creating opportunities for innovation and prosperity across the country”. “In fact, openness may be one of the most important paths to AI safety and security,” he argued, adding “relying solely on closed models is not inherently safe” as “they can be breached, misused, or fail in ways that outsiders cannot detect”.
Reflection AI has also secured substantial computing capacity from SpaceX. The deal, struck in June, gives the start-up access to Nvidia’s GB300 chips at SpaceX’s Colossus 2 facility in Memphis, Tennessee, for $150 million per month through 2029.
Spain-based CaixaBank and Google Cloud extended their partnership to 2033 as the bank looks to expand its use of AI and cloud technologies to serve 13 million customers.
Under the agreement, CaixaBank will deploy Google Cloud’s Gemini Enterprise platform to develop and manage AI agents. The bank expects the agents to help employees analyse complex financial information, automate repetitive tasks and streamline everyday workflows.
The companies identified three areas for the expanded partnership. CaixaBank plans to use Gemini Enterprise to analyse large datasets and deploy specialised AI agents for document management, classification and summarising complex content.
CaixaBank will combine its private systems with Google Cloud infrastructure to increase resilience, scalability and service availability. The agreement also covers threat detection and security monitoring.
The agreement includes professional services, joint projects and training to help employees use the new technology. The work will operate under CaixaBank’s security, privacy and responsible AI policies.
CaixaBank first partnered with Google Cloud in 2023. The bank stated it has the largest digital customer base in Spain’s financial sector.
SoftBank Group founder and CEO Masayoshi Son (pictured) is reportedly targeting up to $100 billion in funding to scale up the company’s AI ambitions, with a number of investors in the Gulf in line to strike partnerships.
The Financial Times (FT) reported Son has been in discussions with senior figures across the Middle East including in the UAE over possible fundraising, although the outlet added there is no guarantee talks with the investors will amount to anything.
It also did not name any companies or specific individual investors.
FT sources claim Son is looking to use the cash to set up a fund to buy companies and then use AI and other advanced technology to improve operations.
SoftBank’s AI and robotics business Roze is expected to play a key role in the process should it come to fruition, with the company planning to take the unit public.
Raising $100 billion to fuel its AI ambitions adds to a $65 billion bet SoftBank has made on OpenAI.
There is also notably a drive across the Gulf nations to invest in the AI sector and diversify economies into technology-related fields, with UAE-based G42 and MGX pumping big sums of cash into development.
Son has a history of courting Gulf investors, with UAE sovereign wealth fund Mubadala and Saudi Arabia’s Public Investment Fund partnering with the Japanese company on its original Vision Fund in 2017.
OpenAI’s annualised revenue reportedly reached $50 billion in September, falling $20 billion short of estimates due to accounting discrepancies rather than a slowdown in demand.
The Financial Times (FT) reported financial documents viewed by investors put its annual revenue at $50 billion in September instead of the widely reported $70 billion.
The news site noted the shortfall was due to attempts by OpenAI’s own investor to provide a comparison to rival Anthropic’s annualised revenue run rate. CNBC reported Anthropic’s annualised run rate hit $65 billion by late July 2026.
While the $20 billion gap sounds like a sudden drop, OpenAI clarified to investors its direct revenue still grew by over 70% in Q3 2026 alone, according to FT.
Reuters and other news outlets reported OpenAI was approaching $70 billion in late September based on a more than twofold increase in enterprise sales since July.
FT explained the two AI players calculate revenue in different ways, with Anthropic including sales from cloud partners such as Amazon Web Services and Google while OpenAI does not.
Anthropic is reportedly targeting an IPO in November after the US midterm elections while OpenAI is targeting a listing next year.
Mobile World Live (MWL) brings you our top three picks of the week as Indian authorities rejected Elon Musk’s allegations about Starlink’s regulatory roadblocks, BT rescued TalkTalk in a £400 million deal and Deutsche Telekom (DT) looked to capitalise on sovereign AI demand.
India hits back at Musk over Starlink oligarch claims
What happened: India’s Ministry of Communications rebuked Elon Musk’s accusation that Indian oligarchs were blocking Starlink’s launch in the country and seeking to preserve a “monopolistic chokehold on the Indian people”, stressing its satellite communications framework is “fair and non-discriminatory”.
Why it matters: The watchdog explained Starlink, along with Indian telecom incumbents Reliance Jio and Bharti Airtel, are all at the same stage of the regulatory process. Each operator must complete security assessments before they can seek spectrum, with final clearances pending. Musk has previously clashed with Reliance Jio owner Mukesh Ambani over satellite spectrum access in the country. Starlink’s protracted approval process in India has lasted four years, with security requirements and spectrum access among key issues. Its presence in the country has also been complicated by reports that Starlink equipment was recovered across parts of the country, claims Musk said do not indicate an illegal active service in India.
Manas Mody, founder of business consultancy FX & Float, said the regulatory debate was “broader than a contest between Musk and operators” because “there could be legitimate regulatory and security considerations behind the resistance”, adding India “has done considerable work to secure its critical digital infrastructure”. “While Musk’s concerns may have some merit, I believe there’s likely more to this than just a conspiracy involving oligarchs,” he argued, adding Starlink is “unlikely to make a significant dent in India’s consumer telecom market” at its planned pricing as its “real opportunity lies in improving connectivity in underserved regions and remote hubs”.
What happened: BT Group agreed a £400 million deal to acquire TalkTalk’s consumer and wholesale businesses out of administration, bringing 2.5 million customers and around 900 employees under its ownership.
Why it matters: The acquisition prevents the UK broadband provider from folding and potentially disrupting services for millions of customers. TalkTalk reported £1.2 billion in revenue in the past 12 months but was loss-making following a prolonged, unsuccessful sales process. BT CEO Allison Kirkby called the situation “genuinely unprecedented”, warning millions of citizens, businesses and public services were at risk if TalkTalk collapsed. She said the acquisition was “the only viable option to keep millions of customers connected and supported”, with the BT adding the business can become value accretive if it is stabilised.
Kester Mann, director of consumer and connectivity at FDM CCS Insight, said the deal “will inevitably also evoke scrutiny from regulators keen to ensure a fair and competitive playing field”, given BT’s “strong position in the broadband market”. He added that this was particularly relevant after competition authorities raised concerns over Nexfibre’s planned acquisition of fellow broadband player Netomnia.
For TalkTalk, Mann said the deal “cements a painful decline” as the company “failed to respond sufficiently to a fast-changing and increasingly competitive market”. Its demise, he warned, should be “a stark warning to any value-focused telecom provider”.
What happened: DT set out plans to turn rising demand for sovereign AI into a new revenue stream, targeting around €250 million in non-US AI-related revenue this year and approximately €800 million by 2030.
Why it matters: The German operator noted European businesses and public institutions seeking AI capabilities while retaining control of data and operations presented a key opportunity, describing sovereign AI as a “growth business”.To that end, DT said it is developing an automation platform for SMEs and expanding AI customer service offerings. CEO Timotheus Hoettges stressed it is crucial AI “delivers measurable value” across the business.
Jamie Escott, account director at Vodafone Business Security Enhanced, said DT’s projected €2.5 billion reduction in indirect costs by 2030 highlights “the growing importance of AI moving beyond experimentation and into large-scale operational deployment”. He added organisations are increasingly focusing on “measurable outcomes such as productivity, efficiency and service quality”. Meanwhile, Jean-Philippe Romieu, executive director for cloud and AI professional services at Microsoft Germany, described DT’s strategy as a “telco blueprint”, pointing to use cases included network integrated AI, autonomous infrastructure and AI-assisted operations. However, he flagged issues including volatile compute costs and market adoption, warning DT’s success “relies heavily on European enterprises prioritising data localisation over hyperscaler pricing and performance”.
A mysterious “flying object”, a strange “cloud” that appeared in the sky in Greece on Tuesday evening, shortly before the sunset, caused concern and curiosity among residents of southeastern Attica, Crete and some other islands yesterday, August 11, 2026. Images and eyewitnesses claimed that there was no other cloud in the sky at that time. […]
Login
