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Top 10 networking stories of 2025 | Computer Weekly

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Top 10 networking stories of 2025 | Computer Weekly


There are few certainties in life: death, taxes and massively increased workloads on infrastructures through the unstoppable rise of AI.

And enterprises and connectivity providers know only too well that AI has fuelled an unprecedented surge in network demand. Keeping pace with the next wave of AI growth will require new long-haul networks to enable the rapid scaling of capacity needs in both existing and emerging enterprise setups – especially within datacentres.

The emergence and widespread adoption of agentic AI-enabled applications is reshaping datacentre requirements, prompting a rapid evolution in networking solutions. AI is driving these advancements, with a dual opportunity for network innovation and operational transformation.

Research earlier in 2025 found that core fibre investment is key to future AI growth, but four-fifths of firms delay builds because of network infrastructure constraints. In addition, global network connectivity provider Zayo predicted AI-driven datacentre capacity to grow 2-6X over the next five years while optical comms technology provider Ciena reported that AI capacity doubling every six months, with hundreds of fibres connected to datacentres being lit up.

Looking at the networks of the future, in October 2025 Cisco noted that two major forces are starting to reshape the landscape: AI agents, which raise the bar for scale, security and governance; and AI infrastructure debt, the early warning signs of hidden bottlenecks that threaten to erode long-term value.

Assessing in April 2025 how to solve these issues, leading research firm Omdia observed that to drive the continued growth of the global AI economy, networks will need to evolve significantly to deliver enhanced capabilities. New, advanced optical networks, it said, were necessary to meet advanced application and service requirements and address surging capacity needs within tight capex targets.

As well as supporting business agility to match bandwidth supply to service utilisation, these new nets – such as all photonic networks – also offer with lower power consumption per bit to meet sustainability goals and reduce energy costs.  

And, perhaps most importantly, the benefits of AI in networking can’t be realised fully without considering networking for AI.

Here are Computer Weekly’s top 10 networking stories of 2025.

Just as AI offers a substantial increase in business efficiency and effectiveness, it also places challenges on the network, necessitating increased network and operational innovation. With such dynamics in mind, Nokia is expanding and enhancing its datacentre networking portfolio to meet the increasing performance and scalability demands of connecting AI workloads.

Furthermore, the comms tech company believes that it is able to do this while taking advantage of AI to drive efficiency and reliability into operations.

Datacentres, the cloud and graphics processing units (GPUs) dominate much of the tech sustainability conversation currently due to their vast energy needs. However, it’s the network infrastructure – including routing, interconnects and protocols – that is becoming the real bottleneck as AI workloads increase, due to heat output, cost and energy usage.

AI workloads put a considerable amount of pressure on networks as they are very different from traditional and predictable consumer and cloud traffic, such as streaming and web browsing. AI workloads such as large model training require high-bandwidth, persistent east-to-west traffic. This has led to a key question: can European infrastructure companies scale AI operations sustainably?

Building on its enterprise network architecture, Cisco has embarked on a plan to modernise its campus, branch and industrial networks for the AI era with systems designed to simplify operations across campus and branch deployments such as network configuration

Cisco believes the new products can simplify operations, scale for evolving business needs and enhance security – all critical for unlocking the full potential of enterprise.

The upgrades follow the launch of the IT and networking giant’s AI-ready secure network architecture for enterprises earlier in 2025. They are fundamentally designed to deliver automated deployment and security across highly distributed networks in minutes instead of months, meeting the high-bandwidth, ultra-low latency and intelligent traffic management demands of distributed AI workloads that are increasingly moving to the enterprise edge.

Research has found that “pacesetter” companies are significantly more likely to move network AI pilots into production, and 50% more likely to report measurable value from AI.

The Cisco AI readiness index 2025 revealed that while the AI genie is out of the bottle for organisations for all sizes, only 13% of businesses are fully prepared for it, with those ready as much as four times more likely to move pilots into production and 50% more likely to see measurable value.

Cisco added that the combination of foresight and foundation is delivering real, tangible results at a time when AI agents and AI infrastructure debt were starting to reshape the tech landscape.

As businesses integrate AI into more applications, demand for high-speed, low-latency, secure networks has surged, but a study from IDC has revealed that legacy infrastructure is no longer sufficient to support the scale and complexity of current, never mind future, AI workloads, and emphasises that network modernisation is crucial to ensuring AI success.

The study highlighted how networks were seen as the critical foundation empowering AI-driven growth. More than 78% of companies regarded networking capabilities as either important or very important when selecting providers for GenAI infrastructure, underscoring the need for networks that can handle and secure ever-scaling AI workloads while running complex AI training, inference and storage clusters with ease.

Research from RtBrick has warned that network operators are at risk of being “overwhelmed” by the demands of AI and streaming services on bandwidth in the next five years.

The carrier routing software provider’s study identified issues regarding not just technology but also people and processes. Consumer expectations were rising faster than the networks designed to meet them and despite significant investment in AI, operators admitted they can’t fully optimise networks without access to more real-time data and network modernisation delayed through staff issues.  

There are few industries these days that are not influenced by AI. Networking is very much one of them. It is barely conceivable that any network of any reasonable size – from an office local area network or home router to a global telecoms infrastructure – could not “just” be improved by AI.

In other words, the implementation of AI results in operational efficiencies, increased reliability and user benefits. But as we know, nothing in life is simple, and to guarantee such gains, AI can’t be “just” switched on. 

A progress report from metro and long-haul data connectivity firm Lumen Technologies has shown a quickening in pace in its network expansion to meet massively increasing workloads, including new fibre miles, added network capacity and coast-to-coast US build.

Altogether, Lumen said it has delivered “significant” progress in its mission to build the backbone for the AI economy, delivering the capacity upgrades and high-speed connectivity enhancements needed so that enterprises can power their AI workloads. It said that it was preparing to deliver the bandwidth required to handle large volumes of data processing, creating what the firm believes is the required high-performance pipeline for AI workloads. 

Network giant Cisco has unveiled simplification of its network operations and claims to be in a position to deliver exponential performance with next-generation devices, all while fusing security into the network and making new business workflows possible.

As it announced the platform, the company quoted findings from its IT networking leader survey, which stressed how a major infrastructure shift was underway and that AI could either double the strain or solve it.

Specifically, the research found that 97% of businesses believe they need to upgrade their networks to make AI and IoT initiatives successful. Faced with these challenges, IT teams needed a new approach to scale operations, reduce downtime, and unlock new levels of efficiency and innovation. Cisco warned that there would only be two types of company in the future: those that are really adept with their use of AI, and those that really struggle.

Even though very few businesses around the world are resisting the allure of artificial intelligence (AI), research commissioned by Expereo has revealed a number of major roadblocks to UK AI plans, such as poor infrastructure, resistance from employees, and unreasonable demands, while two-fifths of UK CIOs have warned of unrealistic board expectations of AI.

Despite some of the worrying findings revealed, the research also painted a positive picture for the promise of AI, but only if businesses can overcome existing challenges. Some 88% of UK business leaders surveyed regarded AI as becoming important to fulfilling business priorities in the next 12 months. 



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Which Is Better, T-Mobile, Verizon, or AT&T? There Is an Answer

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Which Is Better, T-Mobile, Verizon, or AT&T? There Is an Answer


“Unlimited” is a funny term. Unlimited cell phone plans often come with a long list of footnotes, terms, conditions, and exceptions. Mercifully, all of the Big Three cell companies have, by now, ditched throttling on their highest-paid tiers, and include 5G data access in all their unlimited plans. Yet there are still many differences in the services they offer, and from tier to tier within each company.

Cheaper “unlimited” tiers do offer unlimited talk and text. But they still have rules on how much unlimited data you get before they start throttling your speed, and some “unlimited” plans may throttle your data at any given time. Data throttling is the practice of reducing your data speeds after you hit a certain threshold of data used in a month or during times of congestion. It’s been a fixture of cell service plans for years.

Below, I’ve highlighted what each of the major carriers offers for “unlimited” individual and family plans to help you figure out which unlimited plan is best for you and your budget.


The Best Unlimited Plan Right Now: T-Mobile Experience More

T-Mobile Essentials, Experience More, and Experience Beyond Plans

The Essentials plan (with autopay, taxes/fees not included): 1 Line for $60/month | 2 Lines $90 | 3 Lines $90 | 4 Lines $100 | 5 Lines $125

Experience More (with autopay, taxes/fees not included): 1 Line for $85/month | 2 Lines $140 | 3 Lines $140 | 4 Lines $170 | 5 Lines $200

Experience Beyond (with autopay, taxes/fees not included): 1 Line for $100/month | 2 Lines $170 | 3 Lines $170 | 4 Lines $215 | 5 Lines $260

T-Mobile has the best 5G coverage among the big three, the highest 5G speeds, the fastest downloads and the best overall reliability, according to analysis from OpenSignal and Ookla. The carrier also makes claims to winning on value, when you take into account perks that include entertainment bundles, airplane WiFi, and access to satellite data in emergencies.

T-Mobile has rebranded its unlimited offerings this year but still offers three unlimited talk and text plans: Essentials, Experience More, and Experience Beyond. Only the two Experience plans offer true unlimited 5G data without any throttling or deprioritizing (i.e., making your phone stand in line for data behind other, more important, phones during peak demand.)

If cost is more important to you than perks, and you don’t travel a lot internationally, the Essentials plan is what we recommend for people with big families. It’s no frills, just the phone, ma’am, with no subscription money going to streaming services or international carrier fees. Your hotspot is limited to 3G speeds if you’re a laptop warrior, an important consideration for many, and video streaming is 480p. But at its price point, Essentials is the only plan to offer premium data (up to 50 GB) that won’t be throttled. If youy’ve got home WiFi, that 50GB should be sufficient for most people. Besides, it’ll teach your teens how to budget, and how to ask for the WiFi password instead of using their own data. But take note: Data in Canada and Mexico will be so slow you might as well have an old flip phone.



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Data Holds the Key in Slowing Age-Related Illnesses

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Data Holds the Key in Slowing Age-Related Illnesses


In 2026, we will see the beginning of precision medical forecasting. Just as there have been remarkable advances in weather forecasting with the use of large language models, so will there be for determining an individual’s risk of the major age-related diseases (cancer, cardiovascular, and neurodegenerative). These diseases share common threads, such as a long incubation phase before any symptoms are manifest, usually two decades or more. They also have the same biologic underpinnings of immunosenescence and inflammaging, terms that characterize an immune system that has lost some of its functionality and protective power, and the accompanying heightened inflammation.

The science of aging has given us new ways to track these processes with body-wide and organ clocks, along with specific protein biomarkers. That enables us to determine whether a person or an organ within a person is aging at an accelerated pace. Along with that, new AI algorithms can see things that medical experts cannot, such as accurately interpreting medical images like retinal scans to predict cardiovascular and neurodegenerative diseases many years in advance.

These added layers of data can be combined with a person’s electronic medical records, which include their structured and unstructured notes, lab results, scans, genetic results, wearable sensors, and environmental data. In aggregate, this provides an unprecedented depth of information about the person’s health status, enabling a forecast for risk of the three major diseases. Unlike a polygenic risk score which can detect a person’s risk for heart disease, the common cancers and Alzheimer’s, precision medical forecasting takes it to a new level by providing the projected temporal arc—the “when” factor. When all of the data is analyzed with large reasoning models, it can provide a person’s vulnerabilities, and an individualized, aggressive preventive program.

We already know the risk of these three diseases can be reduced with lifestyle factors, such as an optimal anti-inflammatory diet, frequent exercise, and a regular, high-quality sleep pattern. But, along with attention to these factors, which are far more likely to be implemented when an individual is cognizant of their risk, we will have medications that will promote a healthy, protective immune system and reduce body-wide and brain inflammation. Already the GLP-1 medicines have been shown to be a front-runner for achieving these goals, but many more medications are in the pipeline.

The potential for precision medical forecasting has to be demonstrated and validated via prospective clinical trials that show, using the same metrics of aging, that a person’s risk is decreased. An example for people with increased risk of Alzheimer’s is the blood test known as p-tau217, and that risk can be markedly reduced with improved lifestyle factors, especially exercise. That could be confirmed with a brain organ clock and body-wide aging clocks.

This is a new frontier in medicine—the potential for primary prevention of the three age-related major diseases that compromise our health span and quality of life. It would not be possible without the advances in both the science of aging and AI. For me, this is the most exciting future use of AI in medicine: an unparalleled opportunity to prevent the major diseases from occurring, something that has been dreamed about but has not been possible at scale due to the deficiency in data and analytics. In 2026, it finally will.



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UK government further expands rural 4G coverage through SRN | Computer Weekly

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UK government further expands rural 4G coverage through SRN | Computer Weekly


The UK government has reached a milestone in its programme to boost rural connectivity, announcing that more than 100 mobile network masts in traditionally underserved regions have been upgraded to deliver 4G coverage from all major mobile network operators.

Launched in 2020, the £1.3bn Shared Rural Network (SRN) programme is a joint initiative between the government and the UK’s four mobile network operators – EE, VMO2, Three and Vodafone – to extend 4G connectivity to 95% of the UK’s landmass by the end of 2025. The founding principle is that through both public and private investment, new and existing phone masts will be built or upgraded across the UK to close down so-called rural mobile notspots.

Under the scheme, the four operators committed to improving 4G coverage and levelling up connectivity across the UK, which has seen them invest in a shared network of new and existing phone masts, overseen by a jointly owned company called Digital Mobile Spectrum Limited (DMSL). The operators’ £532m investment has been complemented by more than £501m in government funding.

According to the latest Connected nations report from UK communications regulator Ofcom, 96% of the UK now has coverage from at least one mobile network operator, up from 91% when the programme started in March 2020. To date, the SRN programme has already delivered mobile coverage to an extra 9,500 premises and 1,400km of roads.

These improvements are said to be transforming connectivity in areas that were previously not served by all mobile network operators.

Across Wales, Scotland and England, 105 masts have been upgraded over the past year – 44 in Wales, 33 in Scotland and 28 in England – providing reliable coverage to over 400 businesses.

In addition, 4019km2 is the cumulative area of the UK predicted to be reached with an outdoor 4G signal from all mobile networks through the new masts. New coverage will also be available in 10 national parks across England, Scotland and Wales, including Eryri National Park and the Lake District.

Commenting on the upgrade, UK telecoms minister Liz Lloyd said: “More of Britain’s rural communities are finally getting the connection they’ve been waiting for as we deck the hills with 4G coverage. These 100 upgraded masts mean businesses can ring up sales, families can video call their loved ones this Christmas without buffering mid-conversation, and our beautiful rural areas can attract the investment, jobs and tourism they need to thrive … rural communities are finally getting the connections they deserve, boosting opportunity and growth as we drive forward plans for national renewal.”

Ben Roome, CEO of SRN delivery partner Mova, said Christmas is a time for connection, and this year, more rural communities than ever would be able to share that spirit.

“With the 100th site activated, in Llanfair on the border between England and Wales, these publicly funded masts can connect families, friends and businesses across a cumulative area of over 4,000km2, irrespective of mobile provider. This achievement is a testament to what can be accomplished when government and industry work together. Since the Shared Rural Network began, 4G coverage from all four operators has grown from 66% to over 81% of the UK, an increase equivalent to the size of Wales and Northern Ireland combined,” he added.



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