Anthropic launched a public version of its Mythos AI model, but with guardrails in place to block its use in sensitive areas such as cybersecurity.

The AI player stated its Claude Fable 5 model is its most powerful to date on its launch yesterday (9 June), which is two months after Anthropic first unveiled its Mythos-class model.

The limited Mythos preview sent shockwaves through the industry after the model uncovered thousands of software vulnerabilities.

Last week Anthropic expanded the reach of its Mythos AI model to an additional 150 companies across more than 15 countries.

The startup describes Fable 5 as state-of-the-art on nearly all tested benchmarks of AI capability, claiming exceptional performance across software engineering, knowledge work, vision and scientific research. The longer and more complex the task, Anthropic stated, the larger Fable 5’s lead over its other models.

Anthropic stated it has done extensive testing to ensure users cannot manipulate Fable 5 into bypassing its guidelines. Queries on restricted topics will instead receive a response from the company’s Claude Opus 4.8 model.

The AI player acknowledged the safeguards are tuned conservatively and will sometimes catch harmless requests but said they trigger on average in fewer than 5% of sessions.

“With more capable models arriving in the coming months, we’re working to improve our safeguards and reduce false positives as quickly as we can,” Anthropic stated.

For a smaller group of cyber defenders and infrastructure providers, Anthropic is simultaneously launching Claude Mythos 5, which is the same underlying model as Fable 5 but with safeguards lifted in some areas.

Mythos 5 will initially be deployed through Project Glasswing in collaboration with the US government. It carries what Anthropic described as the strongest cybersecurity capabilities of any model in the world.

Users who had access to the Claude Mythos Preview will be able to upgrade to Mythos 5, with broader access planned through an expanded trusted-access programme.

Fable 5 and Mythos 5 are priced at $10 per million input tokens and $50 per million output tokens, less than half the price of Claude Mythos Preview.

The rollout comes as Anthropic, now valued at $965 billion, looks to extend the momentum which has pushed its valuation above rival OpenAI, with both startups racing toward public listings.

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Axon Networks acquired Greenwave Systems, combining two companies with shared roots to create a more unified, AI-powered network orchestration platform.

The US-based company stated the deal strengthens its cloud-agnostic Axon Maestro platform, purpose-built for telecom operators, institutions and enterprise service providers.

Greenwave’s software-defined mobile network services, including its network-as-a-service orchestration portfolio, will be added to Axon Maestro.

Greenwave’s technology will be folded into the Maestro platform as dedicated modules, with its engineering team shifting focus to OSS/BSS product development with expanded support for mobile connectivity.

Financial terms are not available.

At the heart of the integration is Axon’s real-time digital twin technology, which the company said will serve as the foundation for next-generation network inventory management.

Axon CEO Martin Manniche, who co-founded Greenwave in 2008 alongside other current Axon executives, stated operators are too often constrained by legacy operational support systems which require heavy customisation and slow down innovation.

“This limits their agility and effectiveness, delaying innovation and time-to-market for new services,” he said.

The deal also positions Axon to capitalise on growing operator interest in fixed wireless access and low earth orbit satellite connectivity.

As those technologies gain traction in access networks, the company argues end-to-end orchestration from the mobile core to in-home devices will become increasingly critical for delivering a consistent subscriber experience.

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China Unicom’s US division warned the Federal Communications Commission (FCC) a Trump administration proposal to bar US operators from interconnecting with Chinese telecoms firms deemed national security risks could severely disrupt global communications.

In a filing, the subsidiary stated the FCC’s proposal will “harm US companies with significant business and supply chain interests in China”.

It explained global communications infrastructure is built on a complex web of interconnection agreements between carriers across national borders, and Chinese-funded operators collectivity serve as the primary gateways for traffic flowing between the world’s two largest economies, the US and China.

“A blanket prohibition on interconnection with these entities would fundamentally fracture a critical segment of the global communications network,” the filing read.

As a solution, the unit suggested taking a more narrowly tailored approach that addresses national security risks, “while preserving an open and dependable interconnected global network would better serve the public interest and support the US government’s economic policies”.

In April, FCC commissioners voted unanimously to advance a sweeping notice of proposed rulemaking (NPRM) which would bar China Mobile, China Telecom and China Unicom from operating data centres and PoPs in the US.

The NPRM also seeks to prohibit US operators from interconnecting with entities on the national security covered list, including facilities such as data centres, gateways and internet exchange points owned by those entities.

China Unicom filed right at the FCC’s comments deadline which were due 8 June, 2026, with reply comments due 60 days after on 7 July.

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After two years of over-promising and under-delivering, Apple unveiled an overhauled Siri AI voice assistant with new capabilities, a dedicated app and a foundation built on Google’s Gemini AI.

In January 2026, Apple struck a landmark deal with Google, licencing a custom-built Gemini model purpose-built for Siri and Apple Intelligence and larger than Apple’s previous cloud-based AI models.

At the event, Apple revealed that for the first time the assistant has its own dedicated app with a chatbot-style interface, as the iPhone-maker looks to close the AI gap against Samsung and Google devices.

Siri AI can see what is on a user’s screen, search the web in real time, remember past conversations and surface information such as a friend’s address buried in an old message thread.

“We believe truly helpful AI must be centred around you and your needs,” Apple SVP of software Craig Federighi stated, while laying out a philosophy built around privacy, personal context and deep integration with apps users rely on daily.

Siri AI is now a more conversational assistant capable of understanding context, handling multi-step tasks and interacting more naturally across apps and services. It is also compatible with Visual Intelligence in addition to working across existing apps.

A Search or Ask interface opens when users swipe down from the top centre of the screen, allowing users to search the web using Apple’s AI-powered search and launch apps, send messages, create calendar events, search notes, and perform other tasks.

Apple also plans to introduce an AI agent integration with the App Store, allowing users to delegate tasks such as booking reservations, managing everyday tasks, editing documents, or controlling smart home devices.

On the camera side, a Visual Intelligence section within the Camera app introduces a dedicated Siri mode which sits alongside Photo, Video, Portrait, and Panorama, with the feature using Google Image Search to accurately identify objects the user captures.

Siri AI is embedded directly into Dynamic Island, accessible by swiping down from it, pressing the side button, or saying “Hey Siri”. When a user activates Siri with a wake word or the side button, a Siri animation appears in the Dynamic Island.

The feature will launch in English first, with other languages to follow, and it requires iOS 27. The iOS 27 developer beta dropped June 8, immediately after the keynote.

A public beta is expected in July for those who want to test it early, with the full stable release arriving in September alongside the iPhone 18 lineup

Federighi said Siri AI will not be available initially in the European Union on iOS and iPadOS.

“In China, Siri AI and the other new Apple Intelligence features will not be available while we work through regulatory requirements,” he added

Analyst take
Ben Wood, chief analyst at CCS Insight, noted many of the Apple Intelligence capabilities will be familiar to people who have been using an Android smartphone for some time and in some instances are already available to Apple users who have installed third-party AI apps such as ChatGPT.

“Although it is late to the party, the company has a strong record of taking existing technology and implementing it in a more intuitive way, allowing users to easily discover capabilities in daily use,” he said. “I think the most obvious example of this is the integration of Siri into the Dynamic Island at the top of an iPhone.”

Child safety
New parental controls will, by default, allow children to access only the apps which parents have approved to flip the model from opt-in restriction to opt-out permission. A “ask to browse” feature requires children to seek permission before visiting every new website and not just flagged ones.

On the content side, Apple is expanding its existing nudity-detection tools by adding automatic blurring of gore in messaging apps, with parents alerted when such images are encountered, which builds on earlier features that already blurred nudity by default.

Wood noted Apple’s child-safety push is a welcome and timely move as concerns about smartphones and online harm grow among parents and regulators.

He explained the parental controls, tools and developer APIs are positive steps, but they do not go far enough on their own.

“I believe that stronger cross-industry safeguards need to be built into operating systems at a deeper platform level that deliver protection not only in native apps but for every interaction a child has with a device,“ he said. “Apple is well-positioned to be a driving force in this area.”

Cook’s swan song
Outgoing CEO Tim Cook (pictured) opened and closed the conference’s presentation, in what many expect will be his last appearance before his planned transition to executive chairman on 1 September, when SVP of hardware engineering John Ternus will take over as CEO.

“Tim Cook’s last WWDC keynote as Apple CEO may be the most important one and it was a clear reflection of his leadership: disciplined, ecosystem-first, privacy-led, and focused on making technology useful at scale,” stated Francisco Jeronimo, VP of client devices at IDC.

Cook closed the keynote by stating creating the best products in the world to deliver experiences that enrich people’s lives has always been Apple’s North Star.

“It’s been the honour of a lifetime to help advance that mission with teams whose creativity, care, and conviction continue to make a lasting difference in people’s lives,” he said.

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Alphabet’s Google reportedly placed an order with Intel to manufacture more than 3 million of its specialised AI chips in 2028, a move which increases pressure on Taiwan Semiconductor Manufacturing Co. (TSMC).

The Information reported Google plans to use Intel to manufacture some of its tensor processing units (TPUs) after months of testing the chipmaker’s manufacturing capabilities.

Google Cloud’s TPUs are custom chips purpose-built for AI and optimised for training and inference of advanced AI models.

The news agency’s sources state the move reflects mounting strain on TSMC, which is struggling to meet surging demand for its foundry capacity, pushing customers to seek alternatives.

The deal marks another significant win for Intel after CEO Lip-Bu Tan, who spent much of last year shoring up Intel’s balance sheet through major external investments, now appears to be delivering on operational improvements which seemed unlikely a year ago.

In April 2026, Google expanded its long‑running partnership with Intel, committing to use multiple generations of the chipmaker’s CPUs in its AI data centres.

The same month, Intel revealed a plan to join Elon Musk’s Terafab AI chip project to build processors which would power the billionaire’s orbital data centres and humanoid robots.

Last month, the tech giant struck a joint venture agreement with asset management company Blackstone to create a US-based AI cloud company, giving a boost to its TPU manufacturing.

The Information also said Nvidia is evaluating Intel’s manufacturing technology for a forthcoming processor which could combine four graphics chips into a single unit.

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Interview: AT&T completed a controlled introduction phase of its cloud RAN deployment, with roughly 25 sites running live traffic on Intel’s Sapphire Rapids processors as it plans to aggressively scale deployment when Intel’s next-generation Granite platform arrives over the coming months.

The Sapphire deployment is currently handling the TDD layers of the network, which represent the largest share of traffic, but not yet the full stack.

Rob Soni (pictured), VP of the operator’s RAN architecture, told Mobile World Live (MWL) Granite, which is already in AT&T’s labs, will enable a full stack covering FDD, TDD, NR and LTE from a single server design.

“This is all coming in phased pieces through the fall and early next year,” he said. “We plan to scale more aggressively on Granite than we did on Sapphire.”

He said AT&T expects to move from a few hundred Sapphire sites to thousands on Granite through 2026 and into 2028.

Performance on the Sapphire sites is matching traditional RAN on call drop rates and throughput, Soni said, and the team is beginning to utilise the platform’s promise of faster feature delivery.

The leading example is AI-driven link adaptation, developed with Ericsson, which replaces rules-based scheduling algorithms with a deep neural network.

Trials are showing roughly 10% gains in spectrum efficiency and 15% improvements in individual user throughput, with further benefits expected as AT&T tunes the global Ericsson model to its own network morphology.

“We’ve done a lot of trailing with the kind of global model of Ericsson,” Soni explained. “We’re now in the process of tuning the model to the AT&T morphology, the AT&T usage. That will change the nature, and we expect there to be more gain.”

Halfway point

In cellular networks, Soni stated a base station must determine on every transmission frame which users to serve, what modulation and coding scheme to use and how to balance competing demands across the spectrum.

It is a computationally intense optimisation problem, and the traditional approach has been to encode engineering judgment into static rule sets. The AI model Ericsson developed learns from network behaviour and adapts more fluidly to changing conditions.

Link adaptation is a critical algorithm for determining the overall multiple user performance in a cellular network,” he stated.

Rival T-Mobile US stated in May 2026 it is also trialling Ericsson’s AI-native scheduler with link adaptation on live 5G-Advanced traffic, but Soni noted AT&T has been trialling it since December 2025.

Soni told MWL AT&T is just past the halfway point for switching out Nokia’s RAN gear for Ericsson’s as part of a five year plan to transition 70% of its network traffic to run on open platforms by end of year.

The post AT&T scales cloud RAN as open RAN swap passes 50% appeared first on Mobile World Live.

Meta Platforms is reportedly exploring a potential equity raise worth tens of billions of dollars, as CEO Mark Zuckerberg hunts for fresh capital to fund sweeping AI aspirations.

Financial Times (FT) reported the social media giant’s executives are exploring creative ways to boost funds for AI-related capital expenditure.

The publication stated CFO Susan Li is leading the discussions alongside Dina Powell McCormick, who moved from Meta’s board in January to take on the newly created role of president, with a specific focus on AI infrastructure financing and longer-term planning.

In its Q1 earnings report released in April, Meta raised its 2026 capex guidance range from $115 billion-$135 billion to $125 billion-$145 billion.

Zuckerberg is focused on developing so-called superintelligence which he believes will help humanity accelerate its rate of progress.

A person familiar with the discussions told FT it is premature to say if Meta has decided anything, but all financing options are still on the table.

A representative for Meta told Mobile World Live FT’s reporting “is pure speculation”.

“We’ve been clear that huge opportunities lie ahead in AI, and we’ll continue focusing on raising capital in the most flexible ways to support that.”

The potential offering comes as the US equity markets are experiencing a historic surge of activity. Elon Musk’s SpaceX plans to raise as much as $86 billion in an IPO next week, while Anthropic confidentially filed for a listing and OpenAI is also preparing to go public.

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The Linux Foundation launched the open-source Agentic AI Foundation (AAIF) six months ago to ensure protocols are standardised across enterprises, hyperscalers, and telecommunications companies.

The December launch spanned 49 companies, including co-founders Anthropic, Block, and OpenAI, with additional support from Google, Microsoft, AWS, Cloudflare and Bloomberg.

As of 3 June, it now has more than 200 member companies and is growing at twice the pace of the Linux Foundations CNCF Kubernetes project, AAIF executive director Mazin Gilbert told Mobile World Live.

“I think what is new that I have not seen before is that in every foundation I’ve been part of before, we used to go and ask, convince companies to join,” Gilbert said. “The phenomenon we’re seeing here is the opposite.

“Companies are coming on their own accord,” he added. “No outreach. They all want to have a say in this ecosystem.”

Being open source, all the members of AAIF benefit from the development of the tools and interfaces.

As the industry moves beyond chatbots and LLMs, Gilbert explained stakeholders need to agree on standard protocols and interfaces to deliver on agentic AI’s value.

Gilbert, whose career includes 22 years at AT&T and over four at Google, said there are roughly two million open-source models currently available, with open variants now only four months behind closed ones.

The infrastructure to run them is maturing fast but connecting those models to real applications, such as to self-healing networks, customer care systems and robotic platforms, requires standardised plumbing which nobody has built to date in a neutral, durable way.

“This foundation was created to ensure that the tools, the plumbing, the protocols are standardised,” Gilbert explained.

“I don’t need to know which language model out of the two million I should use,” he added. “I should be able to plug and play into any of them without any additional new code.”

He stated the real breakthrough will come from creating standard interfaces which enable AI agents to connect consistently with networks, databases, applications, microservices, other agents, and development tools.

When the plumbing is standardised, it will unlock a new ecosystem of interoperable agent-based systems, much like common internet protocols enabled the modern internet.

“We call it the internet of agents because now, suddenly, just like the internet, you can start to communicate, you can work with each other,” he said.

agentgateway
With the focus on plumbing, the AAIF welcomed agentgateway as its fourth hosted open-source project.

It is built on the A2A and MCP protocols and functions as what Gilbert calls a traffic light: routing agent-to-LLMa and agent-to-microservice communications, enforcing authentication, tracking token usage, and monitoring inter-agent channels.

For telcos, it offers a concrete path toward agentic network management without rebuilding their existing microservice estates from scratch.

“As far as the agents and the LLMs are concerned,” Gilbert said, “they look at the gateway as the endpoint.”

AI market
Setting aside the user application layer, Gilbert frames agentic AI as a four-layer stack: starting with AI-optimised hardware such as GPUs, TPUs and NPUs: moving up to AI-native infrastructure with Kubernetes, containers, service mech and data bases: then to foundation models, inference and model serving: and finally to the fourth agent applications layer where planning, reasoning and self-healing functions are expected to develop quickly over the coming months.

“We need to start populating what layer four is,” he said. “I expect the key work that we are doing now and over the next six months is to really make sure that we are looking at the agentic AI stack end-to-end.”

The roadmap for the next six months includes scaling 10 to 15 projects, a doubling of the working groups from the current eight, and the first production-scale deployments from member companies.

“We’re already starting to see some companies talking about thousands of agents already in production,” added Gilbert.

The post Analysis: How the Agentic AI Foundation is mobilising an agent army appeared first on Mobile World Live.

T-Mobile US unveiled an AI-enhanced network optimisation capability aimed at keeping customers connected during high-density events including at packed stadiums, festival grounds and in post-concert taxi queues.

The mobile operator’s Dynamic CX is built on its self-organising network (SON) platform, which is also used to allocate network resources during natural disasters.

Operators have been using centralised self-organising network (C-SON) tools since 2010. In 2015, machine learning algorithms were introduced and blended with SON algorithms, which led to the first iteration of AI-for-RAN.

It is another feature built on the operator’s nationwide 5G-Advanced network which sits on its standalone 5G architecture.

Dynamic CX’s AI-driven automation adapts to network conditions in near real time, marking a meaningful step beyond traditional SON optimisation, which has historically been more reactive in nature.

The AI-enabled network optimisation capability continuously monitors and tunes network performance.

Dynamic CX scans publicly available event information, schedules and online activity to identify upcoming mass gatherings before they happen, allowing the network to begin preparing capacity adjustments in advance rather than scrambling to react once congestion hits.

Once an event is underway, Dynamic CX shifts into continuous monitoring mode, tracking how demand evolves as crowds move, stream and share throughout venues and surrounding areas.

T-Mobile is positioning the launch ahead of the FIFA World Cup, which starts this month and uses 11 US host cities. It is expected to draw millions of international visitors over several weeks.

CTO John Saw framed Dynamic CX as part of a longer arc of event-readiness investment to improve customer experience.

T-Mobile pointed to broader World Cup operational preparations including coordination with public safety agencies, staged deployable network assets and heightened cybersecurity posture across event-related infrastructure.

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MediaTek and Samsung completed what they claimed was the first successful test of a 3Tx five-layer uplink configuration, achieving a total uplink throughput of 670 Mb/s in a joint demonstration.

The test combined MediaTek’s M90 5G modem platform with Samsung’s virtualised RAN (vRAN), Massive-MIMO radios, and Macro radios to set “a new standard in 5G uplink performance”.

The trial integrated three transmit antennas (3Tx) across five uplink layers, using a multi-band setup which combined n66 (1.7GHz) as the primary cell and dual n77 (3.7GHz) carriers.

The configuration represents an extension of earlier three transmit antenna work by using five uplink layers to push spectral efficiency and peak upload speeds beyond previously demonstrated benchmarks.

Samsung’s vRAN provided the network backbone for the trial, with the virtualised architecture allowing flexible resource allocation across multiple frequency bands while serving multiple users simultaneously. Massive-MIMO radios handled advanced antenna processing to manage the parallel data streams with reduced interference.

HC Hwang, GM of wireless communication systems and partnerships at MediaTek, stated the validation marks a significant step for the company’s 5G platform as demand for high-resolution cloud applications continues to grow.

Dongwoo Lee, head of technology solution Group at Samsung Networks, stated the results demonstrate speeds capable of meaningfully improving user experience across both consumer and enterprise applications.

The companies explained the achievement strengthens fixed wireless access performance with improved uplink peak speeds.

The companies did not announce a timeline for commercial deployment.

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Meta Platforms unveiled an AI agent designed to help businesses carry out day-to-day tasks, as the social media giant looks to raise competition in the enterprise arena.

Meta Business Agent is an AI-powered tool designed to let any business, from a one-person shop to a global enterprise, respond to customers around the clock without missing a beat.

It also positions the company to better rival OpenAI, Anthropic and Google in the enterprise AI market.

More than a million businesses are already using some version of the agent on WhatsApp and Messenger, but yesterday (3 June) Meta started offering it globally to businesses of all sizes.

Meta explained Business Agent can be setup up in minutes or plugged directly into an existing enterprise infrastructure.

The agent can handle conversations in business customers’ local languages and tone from the first day.

It can answer business-specific questions, recommend products from a catalogue, book appointments, qualify leads, and even close sales. When a situation calls for a human touch, users can decide exactly when a team member needs to step in.

The expansion to Instagram is also live and getting started is free. Meta stated paid subscription tiers are coming in the months ahead, with options built to fit businesses of every size.

Meta is positioning the agent as more than just a chatbot. The agent doubles as a daily partner, capable of delivering morning briefings which catch businesses up on overnight conversations while surfacing insights from customer threads.

It is rolling out the agent to a select group of businesses on WhatsApp Business, Instagram Pro, Messenger, and Meta Business Suite, with a waitlist open for others.

For businesses that want deeper customisation, Meta is also launching the Business Agent Platform, an enterprise-grade infrastructure layer which connects to hundreds of third-party systems including Shopify, Zendesk and Shopee, giving the agent the ability to take real action on a business’ behalf.

The social media giant is also making it easier for people to discover businesses powered by a Meta Business Agent directly on WhatsApp.

Soon, people on WhatsApp will be able to find businesses by searching a name or sharing a contact card in a chat, which means every new customer who reaches out gets a helpful response from the start.

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AT&T deepened its partnership with EV maker Rivian, confirming its 5G network will power connectivity inside its R2 model, which is slated for availability from 9 June.

The collaboration builds on a relationship dating to 2023, when AT&T became the connectivity provider for Rivian vehicles across the US and Canada.

With the R2 coming to market, the arrangement expands to cover the automaker’s next-generation platform, ensuring its more affordable mass-market model arrives with the same always-on network backbone as its predecessors.

The operator stated its 5G infrastructure will support faster over-the-air software updates, richer infotainment and real-time services which enable the R2 to improve performance and personalisation over time.

“Connectivity is increasingly central to how vehicles are designed, delivered, and improved,” stated Matt Harden, VP of connected solutions at AT&T.

At an automaker technology conference in the US state of Michigan, AT&T also revealed an expansion of its connected car platform in collaboration with Cisco and LiveOne, the parent of Slacker Radio.

The three-way arrangement is designed to simplify how automakers integrate premium entertainment into connected vehicles. AT&T’s wireless network provides the backbone, Cisco contributes multi-party billing infrastructure through its SIM management platform, and LiveOne will be supplying personalised audio content ranging from curated playlists to live programming.

Rather than requiring each automaker to negotiate separate connectivity deals with individual content providers, AT&T noted its platform acts as a single integration layer.

LiveOne joins existing AT&T partners including iM Media Labs and SiriusXM as part of a content ecosystem now reaching more than 60 of the world’s top automotive brands.

The post AT&T, Rivian extend 5G partnership to next-generation vehicle appeared first on Mobile World Live.

Ex-Deutsche Telekom executive Abdu Mudesir resurfaced at US rival Verizon as EVP and president of the operator’s global networks, platforms and technology (GN&T).

The move to Verizon pits Mudesir in direct competition with T-Mobile US, which is majority owned by Deutsche Telekom.

Mudesir will succeed 30-year veteran Joe Russo, who is retiring over the coming months. He will sit on an 11-member leadership team reporting directly to CEO Dan Schulman.

Russo is currently EVP and president of global networks and technology.

A representative for Verizon told Mobile World Live (MWL) the company hired Mudesir following a thorough global search.

“He has a brilliant track record in building 5G capabilities, scaling fibre architecture, and is a recognised pioneer in Open RAN, cloud infrastructure, and AI-driven network automation,” the representative stated.

Mudesir, who served as Deutsche Telekom’s head of product and technology, left the company abruptly in late March 2026 after eight years in various roles.

Verizon noted it is still finalising the exact dates for the transition, but stated Russo remains fully in charge of GN&T for now and will be staying through Q1 2027 to ensure a seamless transition.

“Abdu is obsessed with the customer experience and network excellence,” Schulman said in an internal announcement to employees. “He will help drive the convergence of Network, Platforms, Technology, Products and AI, using our unrivaled connectivity and the transformative power of AI to define what comes next for our business and the customers we serve.”

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Wirtgen Group is actively developing automated road construction vehicles as stepping stones for full autonomy using some of the same technology stack as parent company John Deere.

During a recent demonstration of its roadbuilding machinery at the company’s North American headquarters in the US state of Tennessee, company executives outlined the benefits of its specialised heavy machinery for road building.

Demand for roads and infrastructure keeps rising while contractors juggle labour shortages, climbing material costs, tighter project timelines and shorter paving seasons.

In the US alone, the construction industry is expected to need nearly 700,000 additional workers by 2031 just to keep pace with demand.

About 40% of the four million miles of roadways across the US are currently rated in poor or mediocre condition.

“As we talked with our customers, we learned a few things about some of their business challenges, which is simply to do more with less,” said Craig Lamarque, VP and head of digital products at Wirtgen America. “Every day our customers are responsible to ensure the safety of every person on absolutely every job site”.

“And they have to do that with increasingly less skilled and less experienced personnel.”

Lamarque explained customers must complete a greater number of projects on tighter timelines to stay profitable while coping with issues with materials, sustainability pressures, labour shortages, and the need to stay on budget and on schedule.

Wirtgen Group responded by introducing digital tools to help address those challenges.

He said Wirtgen’s digital strategy centres on three pillars: connected support to maximize uptime, job site intelligence to expose inefficiencies and improve decision-making, and smart automation to boost machine performance.

Those capabilities are embedded across its road construction equipment lineup and are supported by hardware and software in collaboration with John Deere.

A legacy built on family names

The Wirtgen Group was a privately held German company before it was acquired by John Deere in 2017.

Earlier in its history, the Wirtgen Group bought asphalt paving company Vogele (in 1996) ahead of purchasing soil and asphalt compaction company Hamm three years later. Vogele was established in 1836, one year prior to John Deere.

Kleemann was acquired in 2006, which expanded Wirtgen’s reach into mineral processing with mobile crushing and screening plants.

The Wirtgen Group bought a 70% stake in Benninghoven in 2014, adding asphalt mixing plants to the ecosystem and enabling Wirtgen to offer the entire cycle of road construction equipment from mixing and paving to milling and recycling.

Wirtgen America was established in 1984 and now includes 300 employees across the Tennessee campus.

“Every one of those names of the brands is a family name, much the same as Deere,” said Wirtgen America president and CEO Jim McEvoy. “From that standpoint, we have a long legacy of being early in these markets, being leaders in these markets and being very innovative in these product spaces.”

Here’s a look at three of the roadbuilding machines and technologies showcased in Tennessee across asphalt milling, paving and compaction.

Wirtgen milling machine
The milling machine removes old asphalt or concrete surfaces while using automation and digital guidance technologies to improve precision, efficiency and performance tracking. It is designed for high-output work on freeways, highways, airports and other major infrastructure projects.

The W210XF is equipped with a 2.5 metre-wide cutter drum which removes asphalt and concrete prior to loading the material into a truck. It uses automation and digital guidance technologies across eight cameras to improve precision, efficiency and machine performance tracking.

“Simple diagnostics, intuitive instructions on the display and backup components built into the machine make it easy to keep going,” Lamarque said.

WPT Milling documents job and machine data for billing and emissions tracking. Smart Level Pro is a fully integrated differential milling system which scans the surface about to be milled.

The process begins with a high-speed survey scan of the existing road surface, either by the customer or a third-party surveyor, without closing the road. The resulting digital model is then georeferenced and logged using GNSS.

After scanning, the road profile is refined to meet specifications, then uploaded to the John Deere Operations Centre and Work Planner, where cutting depths can be checked in advance which saves time compared with milling first and verifying later.

Utilising two John Deere StarFire receivers connected by cellular service, Lamarque said the mill goes to work, “precisely milling the design depth and slope, leaving the best possible surface”.

StarFire GNSS Guidance is Deere’s satellite technology which helps machines maintain highly accurate positioning, alignment and paving guidance throughout the roadbuilding process.

Mill Assist is an automated system on the milling machine that uses real-time machine data to optimise performance, improve efficiency, and reduce fuel consumption and emissions.

Vogele asphalt paver
The asphalt pavers are packed with highly specialised automation, levelling and material handling technologies.

Smart Pave is an advanced digital control and automation system developed by Vogele for its asphalt road pavers. AutoTrac technology helps the paver hold its direction of travel and paving width with precision.  

RoadScan is Vogele’s proprietary, non-contact thermal imaging and temperature measurement system mounted directly to the asphalt paver.

Hamm asphalt roller
The double-drum asphalt roller machine compacts fresh asphalt to the target density required for long term durability, using real-time density monitoring and intelligent compaction technology to hit the mark.

It focuses on preventing over-compaction, maximising operator efficiency and providing proof of compaction quality to contractors, state and federal authorities.

The roller uses a combination of vibration and oscillation to compact material to the desired density. Smart Compact Pro and Track Assist help road crews compact more efficiently, cost-effectively and safely while also meeting intelligent compaction specifications.

Intelligent compaction is data collection of the roller using GPS compact mapping, temperature sensors which map and report asphalt surface temperature and an accelerometer sensor that reports stiffness.

From automation to autonomy
Jason Ambroson, VP and managing director of Wirtgen International, explained running the same technologies, connectivity and data sensors across the various roadbuilding machines enables customers to be more productive using fewer employees and fewer resources.

“We are moving from automation to autonomy,” he said.

That trajectory of connecting machines, data and operators into a single intelligent system was what the Tennessee demonstration was ultimately built to show.

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The Federal Communications Commission (FCC) opened its first spectrum auction in four years, putting 200 licences on the block for bidding by AT&T, T-Mobile US, Verizon and possibly SpaceX.

Auction 113, formally known as the AWS-3 auction, includes licences covering frequencies in the 1695–1710 MHz, 1755–1780 MHz and 2155–2180 MHz bands.

Those frequencies were originally auctioned to Dish Network, which is now part of EchoStar, in 2014 but never made it into service after a series of defaults and bid withdrawals left them sitting unused in the FCC’s inventory for over a decade.

In 2015, Dish Network affiliates Northstar Wireless and SNR Wireless surrendered a number of spectrum licences worth $3.5 billion after a dispute with the FCC over discounts.

Last week the FCC and EchoStar reached an agreement which included the latter dropping a lawsuit it filed in a US Court of Appeals over the defaults by Northstar and SNR.

Proceeds from the auction which started yesterday (2 June) will fund the FCC’s secure and trusted communications networks reimbursement program, commonly known as “rip and replace”. It seeks to remove equipment by Huawei and ZTE from US communications networks.

The licences cover territory home to more than 100 million people across 48 states, and two US territories. The auction makes over 1.4 billion MHz-POPs available.

FCC chair Brendan Carr did not hold back in marking the occasion.

“Finally! The FCC is back in the game,” he stated while calling spectrum auctions “the lifeblood of licensed wireless service”.

Carr noted getting this auction moving was the first item the FCC voted on at his first meeting as chair.

“More spectrum means more building, lower prices and stronger competition,” he added.

The auction fits into the FCC’s broader Build America Agenda, which is targeting the delivery of 800 megahertz of spectrum by 2034 under the framework set out in President Donald Trump’s Working Families Tax Cut Act, the legislation which also restored the FCC’s auction authority.

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Anthropic expanded the reach of its Mythos AI model to an additional 150 companies across 15 countries but stated each will need to meet its security requirements before they gain access.

Anthropic introduced its Claude Mythos model on 7 April, under the auspices of its Project Glasswing to a limited number of technology companies including Amazon Web Services, Apple, T-Mobile US, AT&T, Nvidia and Google, instead of making it publicly available.

The company stated the new cohort features industries which were underrepresented in the first batch. It now includes power grids, water systems, healthcare networks, communications providers, and hardware manufacturers.

Anthropic stated for most of the Project Glasswing partners, a successful cyberattack on their codebases could affect more than 100 million people.

It also noted many of the new partners are vendors, companies or nonprofits that maintain codebases which are relied upon by numerous organisations around the world, including governments.

The company expects within six-to-12 months, many other AI developers will have models comparable to Mythos Preview and stated, “they could release them without safeguards that prevent misuse”.

Results from the first cohort are already in. Project Glasswing partners have collectively surfaced more than 10,000 high-or critical-severity security vulnerabilities in the first few weeks.

The AI player stated the bottleneck in cybersecurity is now verifying, disclosing, and patching the large numbers of vulnerabilities which Mythos-class models can surface.

It noted many of Project Glasswing’s partners now use the model to write patches, as well as for pre-release checks which prevent vulnerabilities from appearing in the first place.

The expansion came a day after the Anthropic stated it will start offering Mythos access to the European Union’s cybersecurity division.

It also confidentially filed its initial public offering prospectus with the US Securities and Exchange Commission ahead of rival OpenAI.

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EchoStar elected to defer approximately $183 million in cash interest payments due on debt held by its Dish DBS Corporation subsidiary, citing a preference to conserve liquidity while it awaits the closing of its spectrum deal with AT&T.

According to a statement, the missed payments span three tranches of Dish DBS notes: around $72.2 million on 5.25% secured notes due 2026, $71.9 million on 5.75% secured notes due 2028 and $38.4 million on 5.125% unsecured notes due 2029.

The company stated it skipped the payments deliberately to preserve cash while it waits for the AT&T deal to close, implying it does not intend to make the payments within the grace period.

The notes were part of the broader debt load accumulated by Dish Network over years of spectrum acquisitions and satellite operations, debt which became central to EchoStar’s financial stress and its motivation to complete the $23 billion AT&T deal.

Under the terms of the relevant indentures, the non-payment is classed as a default, though EchoStar has a 30-day grace period before it formally constitutes an event of default.

EchoStar said both the Federal Communications Commission (FCC) and the US Department of Justice granted regulatory approval for the AT&T transaction, though the FCC’s sign-off is not yet final. The company noted the closing remains subject to the satisfaction or waiver of additional conditions.

The deal, announced in August 2025, will generate net proceeds of $20.25 billion according to EchoStar’s filing, reflecting adjustments and transaction costs applied to the gross figure.

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AI player Anthropic confidentially submitted paperwork for its proposed initial public listing ahead of rival OpenAI, while also giving the European Union’s cybersecurity body preliminary access to its Mythos AI tool.

The draft registration statement submitted to the US Securities and Exchange Commission gives the company the option to go public after the agency completes its review.

Anthropic stated the number of shares to be offered and the price have not yet been set.

News of the IPO move came the same day (1 June) Bloomberg reported Anthropic will give ENISA, the European Union’s cybersecurity agency, access to Mythos through Project Glasswing, an initiative which allows organisations to test Mythos’ capabilities before a wider release.

There are growing concerns among governments over the security implications of Mythos, which Anthropic released to some private companies in April.

Anthropic communicated the decision to the European Commission over the weekend.

EC spokesperson Thomas Regnier confirmed the development to Mobile World Live (MWL) followed several weeks of productive discussions.

 “We welcome the latest developments on potential future access,” he said. “This is the result of the Commission’s strong bilateral cooperation and engagement with Anthropic, a leading frontier AI company.”

The EC was careful to frame the moment not as a resolution but as a starting point to work with the US administration, Anthropic and additional AI companies such as OpenAI.

“This is a shared challenge, and we are intensifying our discussions with like-minded partners, including the United States,” Regnier said.

The plan is for ENISA to join Project Glasswing, the coalition Anthropic announced in April which includes Amazon, Apple, AT&T, T-Mobile US, Microsoft, Google, CrowdStrike, Nvidia and Palo Alto Networks, among others.

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Meta Platforms reportedly acknowledged its controversial employee surveillance programme captures data from employees outside the US, raising fresh legal questions in Europe.

Reuters reported internal documentation it reviewed showed the company’s Model Capability Initiative (MCI) does capture data outside of the US.

MCI was introduced last month as a tool to record how US-based employees interact with their work computers by tracking mouse movements, clicks and navigation patterns across more than 200 apps and websites.

The goal of MCI is to use the employee-generated data to train AI agents capable of performing coding and white-collar tasks.

Meta told staff the programme is confined to US devices and stated safeguards are in place to protect sensitive information.

The news agency noted Meta acknowledged in a question-and-answer document provided to employees MCI will capture the contents of any emails or direct messages sent to US personnel, regardless of the sender’s ⁠location.

Meta spokesperson Dave Arnold told Reuters the company notified non-US employees the tool was running on the machines of US-based colleagues they might correspond with, describing the step as one of transparency.

A representative for Meta told Mobile World Live: “We’ve been clear that this tool is for US-based personnel only, and in the interest of transparency, we notified non-US employees that it was deployed on the computers of US colleagues they may email or chat with in the normal course of business.”

“We carefully considered and mitigated potential privacy risks in both the development and deployment of this tool, and we are committed to complying with applicable laws and regulations.” 

New regulatory exposure
Reuters stated the disclosure introduces new regulatory exposure in Europe, where technology companies are already fighting a series of heated legal battles over data collection.

Under the EU’s GDPR rules, the news site explained companies must establish a clear legal basis for processing personal data, disclose what is being collected and satisfy strict conditions around sensitive categories of information.

Kleanthi Sardeli, a legal expert at privacy advocacy group NOYB, told the news site even limited or incidental capture of EU employee data could put Meta in breach of GDPR rules.

A key question, she said, is whether data originally gathered for work communications can lawfully be repurposed to train an AI model.

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The European Union (EU) is pressing for deeper talks with the US administration over advanced AI models, and at the heart of the conversation is Anthropic’s Mythos.

There are growing concerns among governments over the security implications of Mythos, which Anthropic released to private companies in April.

Its release triggered an immediate wave of concern when it surfaced the model could identify tens of thousands of software vulnerabilities at a scale no previous system had demonstrated.

The AI player introduced its Mythos model on 7 April, under the auspices of Project Glasswing, to a limited number of technology companies including Amazon Web Services, Apple, Nvidia and Google.

Anthropic expects to bring Mythos-class models to all customers in the coming weeks.

Bloomberg previously reported the EU made limited progress in securing access to details of vulnerabilities Anthropic’s Mythos AI model could reveal.

European Commission spokesperson Thomas Regnier told Mobile World Live (MWL) the agency has had several meetings with Anthropic to understand the capability of the model, its implications for the cybersecurity of the EU and Anthropic’s plan around Project Glasswing.

“We will keep discussing with the company the cyber capabilities and risks of its latest model,” he stated.

CNBC reported Anthropic has yet to grant the EU, its AI office or any government organisations outside of the US, aside from the UK’s AI Security Institute, preview access to Mythos.

Since August 2025, the European Commission’s AI Office has held regular technical meetings with Anthropic tied to the General-Purpose AI Code of Practice, to which the company is a signatory.

A spokesperson for the EC noted Mythos is not a one-off as a “new wave of powerful models are coming to the market”.

The EC stated parallel progress is being made towards releasing OpenAI’s GPT-5.5-Cyber to trusted EU entities.

The EC spokesperson told MWL it is intensifying discussions with the US, “particularly on the most advanced AI models, including those with cyber capabilities”.

“Cybersecurity is a shared priority and we have agreed to mutually recognise our respective standards in this area,” the spokesperson stated.  “On EU side, we are also stepping up our cyber defences through targeted investments in AI and supercomputing.”

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