Trade body the Next Generation Mobile Networks Alliance (NGMN) outlined a need for significant moves across several areas including standards and security ahead of widespread use of agentic AI for automated networks.  

The group backs the technology as a likely key enabler for Level 4 autonomous networks as defined by the TM Forum, but highlighted work was still required in architecture, operations, governance and other supporting areas.

In a newly-released report detailing the opportunities and areas to address, the NGMN explained operators need “robust mechanisms for governance, trust, policy adherence, observability, explainability, operational safety, determinism, assurance, security and cost control”.

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Mobile operator technical teams were cautiously optimistic about the NGMN’s findings.

Orange CTO and NGMN chair Laurent Leboucher said operators are at a “decisive inflection point as the telecoms industry enters a new phase of network automation”.

“The rapid arrival of agentic AI has introduced the prospect of autonomous systems able to reason, plan, collaborate and execute actions within and across multiple operational domains”.

He noted network complexity and high customer experience demands mean “general-purpose agentic AI technologies must be used carefully”, highlighting a need for safeguards and the ability to “bring humans in the loop when needed”.

“This is a learning process in itself, where operators will have to take controlled risks.”

Fellow NGMN board member and China Mobile chief expert Guangyi Liu noted reviews from standards development organisations, industry initiatives and open-source activities showed “encouraging momentum” for agentic AI use, but “despite this, the landscape remains largely complex and unevenly mature”.

He endorsed increased collaboration across a wide range of organisations to “achieve confidence in the opportunity of large-scale deployments and provide a more unified end-to-end perspective”.

Vodafone Group head of R&D Luke Ibbetson, also on the NGMN’s board, agreed about the need for protections and trust being in place before agentic AI could be fully employed by the telecoms sector.

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Intel proposed a massive $15 billion underwritten public offering of common stock to bolster its balance sheet and aggressively fund its expansion in the high-stakes AI and semiconductor markets.

Financial underwriters include J.P. Morgan Securities, Goldman Sachs, Morgan Stanley and Citigroup Global Markets. Intel stated the companies would have the option for 30-days to purchase up to an additional $2.3 billion in shares, a strategy to secure long-term competitiveness.

“Progress in emerging areas including physical AI, purpose-built silicon, advanced packaging and external wafers represent significant growth opportunities for Intel,” the company stated.

The additional capital targets soaring global demand for technology, as customer investments in AI compute power and physical iterations continue to grow rapidly.

Intel stated net proceeds would cover “general corporate purposes” including working capital and capital expenditures. The company expects the offering to help preserve its investment-grade credit rating during heavy infrastructure investment.

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Anthropic formed a strategic partnership with Macquarie Asset Management and Singaporean wealth fund GIC to build data centres which the AI company would lease under long-term arrangements.

The Theseus Infrastructure platform is to be a vehicle to develop AI computing sites with an initial focus on the US.

Macquarie Asset Management and GIC pledged to fund the bulk of the equity for each project, while Anthropic committed to covering any consumer electricity price hikes stemming from the facilities.

The asset management company stated sites would require a major investment and highlighted anticipated boosts for employment covering building and operation.

GIC is a repeat Anthropic investor.

It jointly led a $30 billion funding round in February and backed a $1.5 billion enterprise services venture Anthropic launched in May.

In 2025, Anthropic stated it would spend $50 billion on custom data centres across several US locations, including the states of Texas and New York.

The company is also preparing for a public listing.

Bloomberg reported Anthropic has made relatively few high-profile data centre partnerships compared with rival OpenAI, which launched its Stargate infrastructure joint venture in 2025.

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NTT Docomo and Samsung Electronics validated AI-RAN technology which optimises user experience at an individual level to cut service issues, a feat the pair asserted is an important step towards predictive architecture expected to be prevalent in 6G.

The companies explained the technology tested in a trial earlier this year in Japan uses AI to analyse a user’s movement patterns and behaviour to predict potential service degradation before it happens.

Rather than applying the same network configuration to every device connected to a base station, the technology tested is meant to tailor each user’s experience depending on real-time network conditions and their expected actions.

The companies noted the traditional approach led to connectivity drops in areas of weak signal and other degradation issues, stating increased demand for high bandwidth services meant users increasingly required greater stability.

Validation tests for the AI-RAN optimisation technology reduced the frequency of data rate degradation from 13% to 7%.

The companies expect the technology to “usher in an era where networks autonomously recognise user contexts and service requirements, delivering optimal communication environments”, stating it is an important step towards predictive network operations.

They added this is needed as “AI-driven network optimisation becomes increasingly prevalent in the 6G network”.

JinGuk Jeong, EVP and head of the Advanced Communications Research Centre at Samsung Electronics, said “by shifting our research focus from overall cell performance to AI-driven individual user considerations, we have demonstrated the potential for enhanced perceived quality at the user level”.

The executive added through further collaboration with its partner, it would “continue securing core technologies for future communications centred around users”.

Samsung and NTT added they also developed a related data collection process to minimise the network burden during optimisation.

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