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Amazon is now water positive in India, meaning the company now returns more water to communities than it uses across its direct operations, including corporate offices, data centres and fulfilment centres.
The milestone arrives ahead of the company’s original 2027 target and marks a step towards its broader global water stewardship strategy.
The achievement is noteworthy in a country facing acute water stress. India holds 18% of the world’s population but only 4% of its freshwater resources.
The company’s approach rests on three pillars: reducing water use, reusing water through treatment and harvesting systems, and replenishing water in stressed communities.
By comparing water returned through these initiatives against water withdrawn for operations, the company says it returned 120% of the water it used in 2025, with progress verified through internal and third-party audits.
“Water is fundamental to the communities where we operate, and we recognise both the scale of India’s water challenge and the opportunity to make a meaningful difference,” stated Abhinav Singh, Amazon’s VP of operations for India, APAC, Middle East and Turkiye.
On the reduction side, Amazon’s data centres in India do not use water for cooling, while water use across fulfilment centres and offices is largely tied to restrooms, kitchens and drinking water, managed through low-flow fixtures and smart meters that detect leaks.
On reuse, on-site sewage treatment plants recycled an estimated 298 million litres in 2025 for flushing and irrigation, while rainwater harvesting pits collected roughly 178 million litres which went into local groundwater.
For replenishment, Amazon has committed more than $6.5 million to water stewardship projects across Maharashtra, Karnataka, Telangana, Delhi NCR, Andhra Pradesh and Tamil Nadu, which are expected to replenish more than 4 billion litres annually.
The work ties into Amazon Web Services’ 2022 global pledge to become water positive by 2030 across its data centre operations.
The company stated it is now 75% of the way to its goal, returning three litres for every four used in 2025.
Amazon continues to expand its footprint in India, with plans to invest more than $35 billion in the country by 2030 to boost AI capabilities and digital transformations.
Microsoft and Google have also announced significant data centre investments in India over the past year.
The post Amazon hits water-positive target in India ahead of schedule appeared first on Mobile World Live.
Mavenir and Red Hat announced what they are calling an Integrated AI Platform, a joint offering designed to give mobile operators the infrastructure to sell services and capture revenue currently flowing to hyperscalers and frontier AI companies.
After making the decision to pivot away from open RAN last year, the vendor has turned its focus to AI, which is evidenced in its partnership with Red Hat.
The Integrated AI Platform blends Mavenir’s AI software with Red Hat’s enterprise Kubernetes and AI capabilities using the latter’s OpenShift and the former’s Digital Enablement (MDE) platform for billing and charging.
The result is a platform which enables operators to monetise AI through token-based consumption plans, with full control over pricing, SLAs and the large language models (LLMs) which power every interaction.
The two companies believe token-based AI consumption, the unit model powering every LLM interaction, mirrors the mobile data billing paradigm operators have long used.
Mobile operators spent decades mastering consumption-based data billing, and Mavenir CEO Pardeep Kohli believes the same model can now be applied to AI while also capturing AI revenue currently flowing to the likes of OpenAI, Anthropic and the major hyperscalers.
“At the end of the day, most of the money is going to go to OpenAI and all these other players,” Kohli told Mobile World Live. “What we are hoping is that this time, there’s an opportunity for operators not only to use AI to cut their own cost and reduce opex and do more automation but also be a provider of AI services to enterprises or even to consumers.”
How it works
The AI platform operates across three deployment models: operator-branded AI services for their own subscribers; as the AI infrastructure layer powering operator AI grid deployments; and as a managed AI platform through which operators can offer the capabilities to enterprise customers on a consumption basis.
The architecture is designed as hybrid, using on-premises and open-source models to serve most of the traffic, while Mavenir’s model router provides policy-governed, metered access to external frontier models for use cases which require advanced reasoning or multimodal capability.
Kohli explained every generation of mobile technology, from 3G to 5G, saw the bulk of value flow to application developers and hyperscalers while operators became commoditised connectivity pipes.
He believes AI represents a rare chance to break that cycle, provided operators move fast enough to control the infrastructure layer. Kohli pointed to live deployments, including Turkcell running on-premises language models and Telefonica working with Mavenir on a range of use cases announced at MWC, as evidence the strategy is already in motion rather than theoretical.
Use cases
One example he provided MWL is real-time voice translation. An operator customer of Mavenir is deploying an agent which converts live calls between languages.
At a small scale, routing the workload through a hyperscaler is economically viable. At the scale of a major mobile network, it becomes prohibitively expensive unless the inference runs on infrastructure the operator controls directly.
The AI platform, as Kohli describes it, is the mechanism which makes the transition possible without rebuilding the operator’s entire operational model.
Kohli also said currently when a mobile operator customer sends a query to Gemini or OpenAI, it bypasses the operator entirely and then goes straight to the hyperscaler’s data centre with the operator earning nothing beyond the data connection.
His AI grid model changes the scenario by making the operator an intelligent routing layer. A simple query gets handled by a local on-premises model at low cost; a complex reasoning task gets routed to a frontier model; a non-urgent request could be sent to a cheaper, more distant data centre.
With the AI grid, the operator becomes a traffic controller in the AI value chain rather than, as Kohli put it, “a dump pipe”.
Sovereign angle
Regulated operators in markets with strict data residency requirements have ample reasons to prefer on-premises inference over sending subscriber data to hyperscaler data centres in unspecified jurisdictions.
The physical proximity argument of operators has merit as Kohli noted operators with urban data centres genuinely are better placed than hyperscalers whose capacity often sits in rural locations.
“We are going use case by use case, but the actual framework and platform is common, and it can be used for many applications,” he said.
Analyst outlook
AvidThink founder and principal Roy Chua raises several issues with the token-as-currency model. One of his points is a token is not a megabyte. A megabyte is a fixed, fungible unit of information.
He explained a token from a frontier reasoning model and a token from a fine-tuned small language model running on premises are not equivalent. One may resolve a complex problem immediately while the other “takes 10 times the tokens getting to a worse answer”.
Chua said the intelligence embedded in a token varies wildly between models, and tokenisation methods differ between model families. Until there is an established, auditable standard for what a token represents in terms of capability, he argues, “the token can’t function as the billing primitive”.
There is also the question of where developer loyalty sits today. Enterprises and software developers have built their AI workflows around the frontier labs and around aggregation layers which already solve model routing across providers.
“For developers and enterprises, trying to insert the operator into a value chain where most operators currently have no relationships and add little differentiated value is an uphill climb,” he said.
He stated a stronger move is not selling tokens as a currency, but selling sovereign, compliant, latency-advantaged AI services wrapped in outcomes, particularly for regulated buyers who need in-country control.
“Let me give credit where it’s due,” Chua said. “Pardeep Kohli and the Mavenir team have correctly identified the macro tailwind. The geopolitics around AI access are real, data sovereignty pressures are real, and the desire for operators to climb the value stack is older than the cloud itself.”
He continued: “However, token-as-a-service, isn’t a sellable product yet for most telcos, with very few exceptions. Someone like SoftBank could do it in the future.”
DTW Ignite
Kohli said Mavenir will have a booth for the first time at TM Forum’s DTW Ignite conference next week. Historically, he noted, DTW was the domain of operators’ IT and billing-side teams while Mobile World Congress served the network side.
Mavenir’s presence at DTW now reflects his view those two worlds are converging as operators build common platforms spanning both functions.
“We have a booth now to explain how we can actually have a common platform, which can not only do billing and charging, customer onboarding and customer facing work, but also can manage your network,” he said. “And it learns about packet code, and it learns about voice calling, it learns about SMS, MMS and not just your bill.
“I believe this is a golden opportunity,” he added.
The post Analysis: Mavenir pitches AI tokens as a telco cash cow appeared first on Mobile World Live.
Mobile World Live (MWL) brings you our top three picks of the week as Ericsson CEO Borje Ekholm stepped down, Anthropic faced a US clampdown on its latest AI models and the UK outlined plans to ban under-16 users from social media.
Ericsson CEO Ekholm set for exit
What happened: Ericsson lined-up a changing of the guard, announcing Borje Ekholm will step down as CEO on 30 September after more than nine years at the helm and lining up current networks boss Per Narvinger to take over.
Why it matters: Ericsson chair Jan Carlson said the incoming CEO brings “deep technical knowledge of our industry as well as extensive commercial experience”, while crediting Ekholm with “extraordinary leadership and strategic advancements”. The chief joined as CEO in 2017 and inherited a business under pressure, steering it through payments scandals, which resulted in a 2019 US fine of more than $1 billion and a $206.7 million. Ekholm will remain at the company as an executive adviser until 15 June 2027.
Narvinger now takes over as 5G spending slows, 6G looms and AI reshapes network demand., He told the Financial Times (FT) the industry is at a “pivotal time”, adding users will “hopefully value your connectivity more” as AI dependence rises. David Hammarwall, currently head of Customer Unit T-Mobile in Market Area Americas, will be Narvinger’s successor as head of the Networks division.
US orders Anthropic to suspend Fable 5, Mythos 5 models
What happened: US President Donald Trump’s administration ordered Anthropic to immediately suspend access to its two most advanced AI models, Fable 5 and Mythos 5, over national security concerns.
Why it matters: The order applied to “any foreign national, whether inside or outside the United States”, prompting Anthropic to disable the models for all customers globally while it worked out how to comply. Anthropic said it believes officials were responding to a “potential narrow, non-universal jailbreak” affecting cybersecurity safeguards, but argued the issue involved a small number of known minor vulnerabilities which could be replicated on other publicly available models. The company pushed back on the recall, noting Fable 5 had been tested with the US government, the UK AI Safety Institute and private groups before launch. The Wall Street Journal (WSJ) reported Amazon CEO Andy Jassy was among tech executives who raised security concerns about the models with officials. Anthropic called the dispute a “misunderstanding” and is seeking to restore access, adding “if this standard was applied across the industry, we believe it would essentially halt all new model deployments for all frontier model providers”. Gina Neff, professor of responsible AI at Queen Mary University London, told the BBC the speed of AI development means and government and enterprises “need to be able to build up capabilities to keep our companies safe from cyberattacks”. She explained the restriction could limit safe AI testing and international cooperation, adding “we’re in uncharted territory at this point”. The latest development marks a sharp escalation in US scrutiny of Anthropic, which is already suing the Trump administration after the Department of War (DoW) blacklisted it as a “supply chain risk” earlier this year.
UK plots under-16 social media ban
What happened: The UK government laid out plans to ban under-16 users from social media and impose wider child-safety restrictions on gaming, live-streaming and AI platforms, with the landmark online safety measures slated for early 2027.
Why it matters: The proposed ban would apply to platforms including Snapchat, TikTok, Instagram, YouTube, Facebook and X, with messaging apps such as WhatsApp and Signal excluded from the scope. Prime Minister Keir Starmer said the move will “give kids their childhood back”, arguing “tech giants had their chance and failed”. However, Assembly Research analyst Megan Jenkins said the government appeared to choose “what feels like a punitive measure for children” over making platforms “safer by design”. The UK’s plan follows Australia, which became the first country in the world to ban social media for under-16s last year. However, the government added it will “learn the lessons from Australia’s experience” by introducing tougher age verification tools. Technology secretary Liz Kendall told the BBC the government plans to disclose further details in July on VPNs, a potential method for bypassing restrictions, as well as curfews, chatbots and other restrictions. Alex Brown, head of TMT at law firm Simmons and Simmons said the move signals “a clear hardening of approach to online safety”, but warned companies must now “grapple with the difficult task of age verification”.
The post The Friday File: Ericsson; Anthropic; UK appeared first on Mobile World Live.
Hyundai Motor Group was reported by media in South Korea to be set to buy SoftBank Group’s remaining 9.7% stake in robotics company Boston Dynamics for $325 million, assuming full ownership of the business.
Newspaper Maeil Business reported SoftBank had an option in its contract when it sold the bulk of the business to Hyundai to divest the remainder under certain terms.
Having apparently informed Hyundai of its intention to sell, the automotive company decided it would buy the rest subject to approval at a series of board meetings.
SoftBank sold 80% of its holding in former Alphabet business Boston Dynamics in 2021. Its interest in the company has subsequently reduced to the share Maeil Business reported it held today (19 June).
Boston Dynamics’ robots are a regular sight at technology events and other showcases, including robotic dog Spot and humanoid unit Atlas. Its products are aimed at industrial sectors including manufacturing, logistics and construction.
The newspaper noted Hyundai would likely focus on commercialisation of Atlas and undertaking a long-rumoured IPO of the robotics company after completing the buy.
The post SoftBank tipped to cash out of Boston Dynamics appeared first on Mobile World Live.
China’s commerce ministry is reportedly targeting broader use of AI across the country’s consumer economy, unveiling 17 policy measures intended to push the technology beyond industrial applications.
State broadcaster CCTV reported the ministry will use the measures to embed AI into households and businesses, viewing the technology as a lever for economic stimulus.
As part of the plan, it is apparently looking at a fundamental shift in how consumer electronics are designed and sold.
The way devices operate is also a target, moving from functional tools towards AI-integrated systems.
Advancing humanoid robotics in the home is high on the agenda, and the sector has already gained government and private investment.
Chinese players including Unitree and Ubtech were cited as front-runners in the market. They are vying to establish themselves commercially in industrial and consumer spaces.
Structural issues
On the services side, China wants to expand AI’s presence in retail services to public and personal areas.
CCTV cited comments from Lin Jian, deputy director of the international trade cooperation institute at the ministry of commerce, who said the measures are designed to solve structural issues within the country’s services sector.
These include addressing challenges around high labour costs and poor standardisation in service consumption, added Lin.
Beijing is stepping up its AI plans, with Bloomberg reporting earlier this month the government is planning to invest $295 billion over the next five years to build out data centres in the country.
The post China unveils plan to embed AI across society appeared first on Mobile World Live.
Orange and the French Alternative Energies and Atomic Energy Commission (CEA) launched a joint laboratory to explore semantic communications, a technology designed to cut data traffic and energy use in future AI-driven networks.
The AI-Native Communications lab will run for five years and develop semantic communications technologies and applications, which prioritise whether the receiver understands the meaning or content of a transmitted message, even when the received data is not exactly identical to what was sent. This marks a shift away from conventional data transmission, where networks aim to reproduce bits perfectly and treat any alteration as an error.
The partners said the approach could reduce the volume of data exchanged across networks, lowering energy consumption and infrastructure requirements. The technology could also support communication between AI agents, which are expected to play a greater role in future network architectures.
The laboratory will also combine research from Orange and CEA to study network evolution, create shared semantic representations between AI models and contribute to future standards work.
Announced at the annual VivaTech event in Paris by Orange CEO Christel Heydemann and CEA general administrator Anne-Isabelle Etienvre, the pair said the initiative forms part of a broader push to strengthen French and European sovereignty over future intelligent network technologies.
Lyse Brillouet, EVP of research at Orange, said the joint laboratory reflects the operator’s commitment to building “the networks of the future: smarter, more sustainable, and natively designed for artificial intelligence”. She added the move was “a key step in reconciling the performance of our infrastructure with the need to reduce our future carbon footprint”.
Meanwhile, Etienvre stated semantic communications marked “a major breakthrough in how future networks will process information”, adding the collaboration aimed to strengthen Europe’s ability to “design and influence technological standards”.
The post Orange, CEA lay groundwork for AI-native networks appeared first on Mobile World Live.
Anthropic CEO Dario Amodei and Google DeepMind’s Demis Hassabis reportedly lobbied for a US-led coalition to shape global AI rules, as Anthropic remained locked in negotiations with the Trump administration over export controls on its newest models.
CNBC reported that during a closed-door lunch at the G7 Summit attended by President Donald Trump and other world leaders, Amodei called for international cooperation to cover structured access to frontier models, a chip and critical components trade framework which excludes China and coordinated responses to AI risks in cybersecurity, bioterrorism and intelligence.
OpenAI CEO Sam Altman also called for a formal international forum to establish globally accepted testing standards, provide impartial analysis of AI capabilities and risks, and serve as a venue for cooperation among nations, according to an OpenAI briefing.
The outlet reported Canadian Prime Minister Mark Carney agreed the US could lead such a coalition, according to people familiar with the discussions.
In addition to Trump, Treasury Secretary Scott Bessent, Commerce Secretary Howard Lutnik and Secretary of State Marco Rubio were also in attendance.
Anthropic ban
The backdrop of the AI discussions was the export controls imposed by the Trump administration on Anthropic’s Fable 5 and Mythos 5 models, which went into effect on 12 June after the government cited national security concerns.
News sites have reported Anthropic is currently in negotiations with the Trump administration over the directive.
Financial Times (FT) reported the US decision alarmed European governments and Silicon Valley alike, while raising concerns even allied nations could be cut off from cutting-edge AI.
French President Emmanuel Macron stated the Anthropic dispute clarified what was at stake, warning if the US could “from one day to the next turn off the switch” it would ultimately damage the multitrillion-dollar US companies leading the global AI race.
Macron called for stronger AI regulation and a platform for democratic cooperation to establish common standards. Indian Prime Minister Narendra Modi stated democratic nations needed access to frontier models to protect critical infrastructure, according to people familiar with the discussions.
The post Tech bosses urge G7 to back US-led AI group appeared first on Mobile World Live.
Consulting company Deloitte is set to launch an AI Studio at its London campus in partnership with Google Cloud, a co-innovation hub designed to support the UK’s transition towards agentic AI.
Opening in late July, the studio will serve clients across financial services, the public sector, retail, healthcare and life sciences, and technology, media and telecommunications.
Deloitte is pitching the facility as a place where production-ready agentic solutions are built and delivered. Innovation labs hosted at the studio will allow clients to prototype and validate agentic AI systems in as little as four weeks, the company stated, compressing time-to-market for complex deployments.
For its retail clients, the aim is to move beyond generative AI chat interfaces toward sophisticated systems capable of modernising the customer journey end-to-end.
In healthcare and technology, media and telecommunications, the studio will focus on how agentic AI can reshape traditional business models and daily workflows rather than simply augmenting them.
Alongside the studio launch, Deloitte announced an upskilling plan to train 1,000 members of its UK AI and data workforce on Google Cloud’s Gemini Enterprise. The certification programme is designed to ensure Deloitte’s engineers are equipped to implement Google’s most advanced agentic architecture, giving UK clients access to what Deloitte described as one of the largest pools of certified AI talent in the region.
“Our clients are looking for more than just productivity gains — they want AI that can take action and drive real-world business outcomes,” stated Hayley McKelvey, chief AI officer for Deloitte UK, speaking at the Google Cloud London Summit. “This is about moving from curiosity to a new era of autonomous business operations.”
The London studio is in addition to Deloitte’s existing AI Experience Centres in Egypt and India.
The post Deloitte teams with Google Cloud to open London AI Studio appeared first on Mobile World Live.
Alibaba Cloud launched a cloud region in France featuring two availability zones in Paris as part of a plan to launch a suite of enterprise-grade agentic AI services in European markets later this year.
The move marks the Chinese giant’s third European hub following infrastructure builds in Germany and the UK.
The fully operational region brings enterprise-grade cloud services to European customers spanning computing, storage, containerisation, networking, security, databases, and developer tools.
The launch extends Alibaba Cloud’s global network to 105 availability zones across 32 regions.
The France deployment builds on European countries seeking to host their own data centres and cloud regions instead of relying on US companies such as Google, Microsoft and Amazon Web Services.
Built with data sovereignty in mind, Alibaba Cloud stated the Paris infrastructure is designed to comply with European regulatory frameworks covering data privacy, cybersecurity and resilience.
Alibaba Cloud noted the new region in France comes as European demand accelerates across sectors including retail, software development, AI-powered creative platforms and sports tech.
The company’s suite of agentic AI services includes AgentRun, a one-stop development platform for AI agents; STAROps, an intelligent operations platform; and ACS Agent Sandbox, which provides hardware-level security isolation while reducing operational costs.
The company is also bringing Agent Security Centre, AI Security Guardrails 2.0, and Agentic SOC to the region. Together, the portfolio is designed to cover the full agent lifecycle from development and debugging through deployment and security.
“This expansion, alongside the introduction of our agentic AI services to Europe, aligns with our broader strategy to bring our full-stack AI+Cloud ecosystem to global customers as we enter the agentic era,” stated Alibaba Cloud CTO and president of international business Dr. Feifei Li.
Last year, Alibaba Group CEO Eddie Wu committed to building “full stack technology capabilities” across AI chip design, infrastructure, cloud services and model development.
The post Alibaba Cloud expands agentic AI push to France appeared first on Mobile World Live.
European Commission (EC) President Ursula von der Leyen (pictured) called for closer US-European Union (EU) cooperation on AI at the G7 Summit currently being held in France, arguing both sides have a shared interest in accelerating adoption and ensuring powerful models are introduced safely.
In a post on X following a roundtable with partner countries and AI business executives, von der Leyen stated AI is “developing exponentially” and described it as “the most important technology of our time”. She said the technology “comes with immense potential, but also risks for free, democratic societies”, adding Europe and the US should work together because they “represent 70% of the world market”.
According to Reuters, von der Leyen framed AI safety as a shared interest, stating: “We use each other’s trusted technology, and our financial systems are interconnected. “It is in our mutual interest that our citizens and companies can safely use the best AI models,” she added.
New models
The remarks follow a US government order issued earlier this week directing Anthropic to suspend access to its most advanced AI models, Fable 5 and Mythos 5, for foreign nationals over national security concerns.
Although the Trump administration’s letter targeted foreign nationals, Anthropic said compliance would have required verifying the nationality of every user. It therefore shut both models down entirely for all customers.
In an AI sovereignty push earlier this week, French Prime Minister Sebastien Lecornu argued: “We cannot rely on the goodwill of certain partners who, as we have seen in recent days, are capable of cutting off access to the Anthropic model.”
On the issue, von der Leyen said at the summit “the key question of today is how to introduce new models safely,” calling for G7 countries to exchange information and cooperate through independent entities evaluating models before market release.
She also highlighted adoption as a competitive priority, stating Europe and the US are “at par in terms of AI adoption” but that the bloc wants “our own AI future, not in isolation – that is very important – but together with our trusted partners”.
The post US-EU AI cooperation in focus at G7 Summit appeared first on Mobile World Live.
AI is an inescapable topic in any business or technology-linked conference in 2026, with sessions often presented by vendors crowing about the abilities of LLMs to transform businesses, up productivity and cut costs.
One of the areas arguably most exposed to the benefits and downsides of the hugely-hyped technology is security, with those dedicated to protecting enterprises seeing an increase in AI-aided attacks but also viewing the technology as a part of the defence.
So it was no shock to see security front and centre at conference Infosecurity Europe 2026 held earlier this month in London, with almost half of the nine keynotes on the opening day featuring AI in the title and the topic frequently mentioned across a large proportion of the other sessions.
During a panel comprising cybersecurity professionals working for McDonald’s, Live Nation Entertainment, IHG Hotels and Resorts, and international law company RPC, there was optimism about the prospects of AI as a defensive tool, though its limitations and potential threat from the technology when used by criminals was also raised.
On the attack.
Spencer Scott, head of information security at RPC (pictured below, far-left), said as with other sectors the legal industry is experiencing a “big uptick in deep fake voice cloning, where you have people impersonating C-suite” taking the form of spoofed executives joining voice calls and phishing through messages.
McDonald’s senior analyst cyber defence Ellie Hallam (pictured, far-right) argued this type of AI-driven trend is especially problematic for organisations reliant on distributed workforces.
“I’d argue if you have organisations reliant on remote workers you’re far more likely to fall victim to that because [attackers] are so good at using AI voice cloning,” she added, noting in an earlier session at the event it was revealed “you now need three seconds of voice to clone someone’s voice”.
Citing current reports on industry trends, Hallam highlighted a consensus AI is accelerating attacks, so “it’s just much more difficult for us as defenders to catch things when we need to, before they’ve become significant risks to the business”.
In terms of how attackers are structuring assaults, she indicated automation for selected tasks is more common than blanket AI being present across every element.
Boring jobs.
A regular selling point of AI across a lot of industries is the ability to take away repetitive tasks which often involve scything through huge volumes of data. These roles are unlikely to be enjoyed by staff or viewed as a good use of an experienced professional’s time.
For these labour-intensive tasks the panel was united in agreeing the technology offers plenty, though the need for human oversight was repeatedly stated.
However, not everyone was convinced by a lot of the vendor claims around use of the technology.
Live Nation Entertainment senior cyber threat intelligence analyst Alice Smith (pictured above, second from left) described AI as a “buzzword” and said she is not the “biggest fan”.
“It’s so hard to sift through all of the noise, all of the information” about the technology, she added, noting it is “always going to be a tool that’s going to be used to make things quicker and to make things more productive”.
“But in terms of actual value, we’re always going to add that.”
Information security director for AMER and EMEAA Managed Hotels at IHG Matt Gregory (pictured above, second from right) added security is “a constant evolution, as the attacker changes we change as well”.
“The tools are there to make things easier and more effective”, he emphasised, but echoed the fact there is a need for “human engagement” and oversight.
Scott explained from his perspective “we’re still not ready to trust AI to take over. It’s not human in the loop, it’s humans on the loop: continuous review with AI as a partner until you feel confident enough it can take [on] those low-level tasks with 100% certainty it’s doing the right thing, not hallucinating and going outside its” boundaries.
“I don’t think we’re there on that yet.”
Smith added “you know the culture of your organisation, you can read the room, you know the nuances, you can bring that to the table”.
“AI can organise the data, but especially [for] intelligence, there has to be a human there bringing that perspective,” she concluded.
On the attack.
Elsewhere on the keynote agenda, Stuart McKenzie, MD EMEA for Google Cloud subsidiary Mandiant Consulting, provided insight from its latest intelligence on threat trends facing the audience of security professionals.
Noting “attackers have adopted AI wholeheartedly”, he explained “we’re beginning to get to the speed and scale of some of the attackers that we have to start thinking about how we’re going to deploy AI to get into those battles”.
“We have to move as fast as the attackers, if not faster, or they’ll be through our environments so quickly”.
McKenzie added the abilities of criminals used to be five-to-seven-years behind activity from nations, but this gap is now nearer 18 months.
The ability for criminal threat actors to identify vulnerabilities is now greater than it’s ever been
Stuart McKenzie, MD EMEA Mandiant Consulting
This “step-change” in speed and scale has seen hackers “exploiting vulnerabilities more often than not before anyone is aware of them”.
“The ability for criminal threat actors to identify vulnerabilities is now greater than it’s ever been with the help that LLMs provide them. It’s given them an uplift in sophistication”.
However, he noted it is not all “doom and gloom”, with new technologies and tactics available to aid defenders too.
The post Feature: How do security pros view the AI revolution? appeared first on Mobile World Live.
The French government outlined a major sovereign AI push, declaring its intelligence agency would stop working with US company Palantir in favour of a local alternative alongside a pledge to invest €655 million in the technology through to 2030.
Prime Minister Sebastien Lecornu announced the plans in a video on X as the country advances its sovereign technology ambitions and a desire to reduce dependence on US offerings.
The debate around sovereignty continues to heat up: the US recently hit the brakes on a couple of Anthropic models due to national security concerns.
Prime Minister Lecornu pointed to the issue in announcing the decision to cut ties with Palantir, stating “France must have its own tools”.
“We cannot rely on the goodwill of certain partners who, as we have seen in recent days, are capable of cutting off access to the Anthropic model.”
Intelligence agency DGSI is to replace Palantir’s data tools with an alternative made by privately-controlled French company ChapsVision.
Palantir had worked with the agency for around a decade and announced a three-year renewal in December 2025.
Concerns have been raised about Palantir due to ambitions in Europe to reduce the amount of sensitive data processed by US-based companies.
The company was co-founded by billionaire Peter Thiel, who has strong links to the US government.
Revolution
The prime minister said the €655 million investment would go towards infrastructure, computing capacity, research, business and industrial sectors.
As part of the plans, the government aims to provide all civil servants with a conversational assistant from domestic company Mistral AI, in addition to a public health assistant by the end of the year.
“We can undergo this revolution. Or we can lead it. France has chosen. It will rise to the challenge of this revolution and intends to claim its full place in it,” Prime Minister Lecornu said.
The post France ends Palantir AI deal in sovereign push appeared first on Mobile World Live.
A US federal judge reportedly dismissed xAI’s trade secret lawsuit against rival OpenAI with prejudice, dealing another legal blow to Elon Musk in his widening battle with Sam Altman’s company.
Reuters reported Elon Musk-owned xAI failed to demonstrate OpenAI induced former xAI engineer Xuechen Li to misappropriate trade secrets, or that Li disclosed any confidential information during a presentation he gave while OpenAI was recruiting him.
In the order, the judge wrote xAI essentially equated asking a job candidate about prior work experience with encouraging a potential employee to divulge trade secrets obtained during that work.
The news agency stated the dismissal with prejudice means xAI cannot raise the same claims again.
The judge already dismissed an earlier version of the lawsuit in February, giving xAI an opportunity to strengthen its case. Having found xAI failed to cure the shortcomings in its amended complaint, the judge ruled it would be futile to allow further attempts.
The lawsuit was originally filed in September 2025, alleging OpenAI engaged in a coordinated campaign to hire away xAI employees to access trade secrets related to its Grok chatbot, including source code and data centre deployment strategies.
Musk’s AI company claimed former employees took confidential material when they left for roles at OpenAI.
Reuters noted OpenAI previously called the lawsuit baseless and part of Musk’s ongoing campaign of harassment against the company.
The case is part of a broader legal battle between Musk and OpenAI, which he co-founded alongside OpenAI CEO Sam Altman before departing.
Musk is separately suing OpenAI over its conversion to a for-profit company, while the AI firm has countersued Musk for harassment.
xAI also sued Apple in federal court, alleging it conspired with OpenAI to suppress rival platforms.
The post Judge tosses out xAI, OpenAI trade secret lawsuit appeared first on Mobile World Live.
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