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4 Ways Your Apple TV Is Changing In 2026

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The last time consumers got news about Apple TV hardware was when the company announced the 2022 Apple TV 4K model. Its third-generation set-top box was released with up to 128GB of storage, an Ethernet port, Apple’s A15 Bionic chip, and a USB-C Siri Remote. While rumors suggest a new Apple home entertainment product is on the horizon, the current model is still the best way to enjoy streaming services. As a bonus, it also gives you the complete Apple experience with Apple Fitness+, the Apple Music catalog, and games that can be played with an Xbox or PlayStation controller.

On the software side, Apple has been changing the Apple TV brand a lot. For example, the streaming service previously known as Apple TV+ has ditched the plus sign, and its app has also been tweaked to accommodate the platform’s rebrand and iOS 26 changes. With all that in mind, we have some clues about the ways Apple TV is changing in 2026 and why it feels like it will be the year of smart home products for Apple.

A more powerful Apple TV processor is coming in 2026

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Several reports in the past year implied Apple was readying a new Apple TV 4K (via MacRumors). The latest rumors suggest the company is adding the A17 Pro chip to this set-top box, which is the same processor available on the iPhone 15 Pro and iPad mini 7. According to Apple, the A17 Pro offers a huge performance boost, as the chip delivers faster CPU and GPU, as well as a Neural Engine that’s up to two times faster.

While Apple could follow the trend in the previous generation and offer this device with one less CPU core, the A17 Pro that comes with the iPad mini 7 has a six-core CPU, with two performance cores and four efficiency cores. These devices gain a 30% processor boost and a 25% jump in graphics performance compared to the sixth-generation iPad mini with A15 Bionic.

That said, even though the Apple TV might not receive a redesign, improved internal specs could make this device even faster, smarter, and ready for the latest image and audio capabilities. As a bonus, it can become a proper hub for everything smart home-related.

The new Apple TV could get more RAM and Apple Intelligence

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If Apple adds the A17 Pro chip, the company could increase Apple TV’s RAM to 8GB, which is the minimum required to handle Apple Intelligence. Even though Apple doesn’t specifically mention this Apple Intelligence requirement, every device that currently supports its AI platform meets this minimum. More interestingly, devices that didn’t support Apple Intelligence and got an upgrade recently, such as the iPad mini with A17 Pro, also had an increase in RAM from 4GB to 8GB due to the more demanding tasks. More RAM could also make the Apple TV handle multitasking better, improve game performance, and make general navigation smoother.

While users shouldn’t expect Writing Tools or Image Generation on the Apple TV, it would make sense if this set-top box gets unveiled around iOS 26.4 next year, as that’s when Apple is expected to launch an all-new Siri. Due to internal issues in testing and releasing a new personal assistant, several Apple product launches have been delayed.

Apple TV could feature the new N1 chip

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Besides an improved processor and more RAM, another spec change that could be coming with the next Apple TV is Apple’s proprietary N1 chip. This modem is responsible for connectivity functions, as it handles Wi-Fi and Bluetooth. Introduced with the iPhone 17, this wireless chip enables Wi-Fi 7, Bluetooth 6, and Thread support. Apple says this chip is also responsible for improved and more reliable wireless functionalities, such as Personal Hotspot and AirDrop.

Although it’s unclear if Apple might adopt the N1 chip in the new Apple TV 4K, this could be a great improvement over the current connectivity standards, as the third-generation Apple TV 4K features Wi-Fi 6, Bluetooth 5.0, and Thread technology only on the model with more storage. Another long-awaited feature for Apple TV users is a Siri Remote with a Precision Find chip, which would make sense for Apple to finally add to a newer model.

Apple TV’s streaming is also part of the set-top box strategy

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It’s not just the Apple TV box that might change in 2026. After all, an improved Apple TV 4K can also lead the way for more changes to the Apple TV streaming under the hood. Even though Apple makes the app available on almost every device, watching Apple originals with a pair of HomePods and Apple’s set-top box is a great experience.

With the release of a new Apple TV in 2026 and Apple pushing its sports offering, as it became the official streaming partner for the new Formula 1 season in the U.S., the company might announce a new sports tier or new sports functionality inside the app. Features like multi-cam support could become exclusive to the new Apple TV to lure new customers.

After all, with sports being the main driver of Apple TV subscriptions in 2025, and the company offering Major League Baseball and Major League Soccer as part of the Apple TV subscription, this is a great moment to push on a more capable set-top box, which can improve users’ smart TVs and deeply integrate other Apple products with it.

Should you get a new Apple TV today or wait a little longer?

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Apple’s set-top box continues to be the best device to improve your TV experience. After all, the Apple TV is fast, reliable, and full of apps, which all make it worth it even if you already have a smart TV.

That said, if someone gives you an Apple TV 4K this Christmas, you should definitely be grateful. However, if you’re planning to buy one in the near future, I’d recommend waiting for the next generation, as the new model might introduce a new smart home era for Apple: one a lot smarter and with new features thanks to improved specs.

That said, other rumors suggest Apple wants to keep decreasing the Apple TV price, and if it turns out to be right, the company will offer a better device with a lot more features at a more affordable price. The new Apple TV could be released in early 2026, and it might even be unveiled close to a third-generation HomePod, the HomePod mini 2, or Apple’s rumored new smart home devices.

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Flic Duo Smart Controller Review: Ultra-Versatile And Inexpensive

Christian de Looper / BGR

Smart home controls are getting better. The Flic Duo was first announced at CES 2025 as a dual-button smart home controller, and it represents a pretty significant leap from Flic’s older single-button devices. At $59, you’ll get physical button presses plus additional gesture controls — swipes, twists, the works — all wrapped up in what the company hopes will be a controller that doesn’t care what ecosystem you’re running.

What makes the Flic Duo worth paying attention to is that it’s trying to be more than just another button you stick on a wall. The gesture controls layered on top of traditional presses make it much more of a device that you can use to control all sorts of different aspects of both your smart home and other areas of your digital life. Whether it actually delivers on that promise comes down to your existing setup and how much patience you have for the initial configuration.

Design

Christian de Looper / BGR

At just 8mm thick, the Flic Duo is impressively slim for a smart home controller. It doesn’t look awkward whether you’ve mounted it on a wall or dropped it on your nightstand. I tested the white model, and it basically disappears into most rooms –- which is exactly what you want from an accessory like this. There’s also a black option if that works better for your space.

The button layout puts one larger button above a smaller one, and they both feel great to press. You get a satisfying click with enough tactile feedback that you know immediately when your input registered. Flic includes a metal mounting plate that connects magnetically to the button. That means you can wall mount it, but then grab it when you want to use it handheld. The magnetic connection holds firm during normal use but lets go easily when you actually need to remove it. Thankfully, it you lose it, there is a feature to find the button with a sound, which can be triggered through the app.

The CR2032 coin-cell battery is user-replaceable, with Flic saying you’ll get up to three years of use out of it. I obviously couldn’t test that timeline, and while I generally prefer rechargeable batteries, I do like that it’s easy to replace this one when you eventually need to do so.

Features

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Versatility is really where the Flic Duo sets itself apart. You’ll get single press, double press, and hold options on each button. On top of that, you’re also getting vertical and horizontal swipe gestures, plus clockwise and counter-clockwise twists. Factor in the dual buttons and the device knowing whether it’s mounted or in your hand, and Flic says you’re looking at over 30 distinct command combinations.

What does that actually look like in practice? A single press turns on your lights. Swipe up to increase brightness. Swipe right to adjust your thermostat. Double press the smaller button to start a playlist. The range of possibilities is legitimately impressive.

Some of the gesture controls can be finicky though, especially when you’re first setting everything up. Getting swipes and twists to register consistently takes a little practice, and I found myself repeating gestures multiple times before the app figured out what I was trying to do. Once you’ve learned the feel of it, reliability improves. But there’s definitely a learning curve.

One thing to know: a lot of the advanced features and service integrations need a Flic Hub, which you’ll have to buy separately. Direct Bluetooth connection to your phone can handle the basics, but full gesture support and extended range depend on having that hub. The distance between the button and that hub can impact how quickly controls work too — so if you’re far away from the hub, expect a little more latency.

App

Christian de Looper / BGR

The Flic app manages all your setup and customization, and it’s perfectly fine. Not exceptional, but it does what it needs to do. The interface stays minimal and easy to navigate, and pairing the Duo went smoothly when I tested it.

Setting up automations is reasonably straightforward, though the sheer number of options might be overwhelming at first. Beyond standard smart home control, you’ll get integrations with services like Slack and even HTTP request support. If you’re into automation, this opens up some interesting possibilities — triggering workflows in n8n or similar platforms makes the Flic Duo genuinely useful beyond typical smart home stuff.

I need to emphasize the hub requirement again. Bluetooth connection works for simple functions through the app, but for full gesture recognition and extended functionality, you need a Flic Hub. And if you want television control specifically, you’re looking at adding the Hub LR with an IR accessory. All of this adds cost and complexity, so factor that into your decision.

Smart home support

Christian de Looper / BGR

Matter support is built in, and the Flic Duo plays nice with Apple HomeKit, Amazon Alexa, Google Home, and SmartThings. With over 100 integrations including Sonos, Philips Hue, Nanoleaf, and Slack, compatibility probably isn’t going to be your problem.

HomeKit comes with some limitations though. Only the physical button presses work within Apple’s ecosystem — the gesture controls don’t carry over. If you’re heavily invested in HomeKit and want to use the Flic Duo to its full potential, that’s a meaningful restriction.

Connectivity performed well in typical home environments, particularly with the Flic Hub extending the range. Sonos integration was responsive during testing, though your results ultimately depend on how reliable your other smart home devices are.

Conclusions

The Flic Duo is a genuinely versatile, well-designed smart home controller. Physical buttons plus gesture controls give you flexibility that most competitors can’t match, and build quality feels right for what you’re paying. The magnetic mounting system elegantly handles the whole wall-mount-versus-portable question, and the replaceable battery is just practical thinking.

The downsides are real but not dealbreakers: gesture controls take patience to get right, full functionality requires additional hub hardware, and HomeKit integration has limits. If you’re willing to put in the setup time and potentially spring for the hub, the Flic Duo actually delivers.

The competition

There isn’t a whole lot of competition in this space, and most alternative smart home buttons like this are focused on a particular ecosystem. Few of them match what the Flic Duo brings together — gesture controls, platform-agnostic design, and an extensive integration library. If you’re locked into one smart home ecosystem, a dedicated controller might serve you better. But if you’ve got a diverse smart home setup and want consolidated control, nothing else out there is as comprehensive right now.

Should I buy the Flic Duo?

Yes, if you’re looking for a versatile, inexpensive smart home controller.

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IOWN advances next-generation network evolution and innovation

As enterprises and connectivity providers know only too well, artificial intelligence (AI) has fuelled an unprecedented surge in network demand – especially in datacentres. Indeed, the emergence and widespread adoption of agentic AI-enabled applications is also reshaping datacentre requirements, prompting a rapid evolution in networking services.

AI-driven datacentre capacity is projected to grow between two to six times over the next five years. And as AI capacity has soared, network infrastructure is constantly having to adapt to a multitude of external pressures and unprecedented strains. The result is that 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.

This next generation of networks will have to keep pace with new fibre buildouts and AI datacentre sites, offering extended network capillarity – using short-range radio-access technologies to provide local connectivity to things and devices – and greater overall capacity. And as witnessed and articulated at the latest meeting of the Innovative Optical and Wireless Network (IOWN) Global Forum in Dallas in October 2025, advanced all-photonic networks (APNs) will almost certainly play a crucial role in achieving such aims.

Led by global tech giant and comms operator NTT, the IOWN project was created to meet the growing needs of the hyper-connected business world of the future, offering a global communications infrastructure capable of enabling ultra high-speed, high-capacity internet services utilising photonics-based technologies, namely an APN. It also aims to address the almost exponentially rising demand for data and a commensurate rise in energy consumption due to the vast amounts of compute power required by future applications, in particular large language model (LLM) use cases.

As it marked its fifth birthday in January 2025, the IOWN Global Forum said its work this year would place an emphasis on updating reference architectures and technologies while developing early adoption use cases across key industries.

Such work is well-needed: research from Neos Networks in October 2025 warned that mass buildout of datacentres in the UK may not come to fruition as mass availability to fibre remains the critical bottleneck that could slow growth, with as many as four-fifths of firms delaying builds because of network infrastructure constraints.

Assessing in April 2025 how to solve these issues, leading research firm Omdia observed in a study, The all-photonics network enables the next-gen digital economy, that to drive the continued growth of the global AI economy, networks would 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.

Meeting sustainability goals

As well as supporting business agility to match bandwidth supply to service utilisation, the all-photonic networks also offer the opportunity to have infrastructure with lower power consumption per bit to meet sustainability goals and reduce energy costs. To display the crushing need to address the challenge, the Omdia research calculated that when measured in gigawatts, total global datacentre capacity – what the analyst called the key enabling infrastructure for AI capabilities – is set to grow 57% from 2024 to 2027.

The analyst concluded that APNs can potentially bring benefits to all audiences – from individuals and industry to international markets – and noted that the APN will build upon advances in optics technology that offer improved system reach capabilities, cost optimisation, enhanced optical switching, and advances in multi-layer and supplier management supported by the standards community. For enterprises in particular, it sees benefits for those firms looking for greater security, agility and return on investment for their AI and cloud adoption.

Fast forward to the Dallas conference in October, and the point was made that the optimal networks between datacentres will need to be more open and dynamic to support the sharing of computer resources, solving technology problems and moreover creating value for businesses.

The Dallas meeting was the first published event the forum had hosted to advance photonic technologies. It brought together over 240 attendees from more than 170 member organisations for a series of panels, presentations and technology showcases that demonstrated its global scope and latest advances in next-generation network evolution and innovation.

IOWN Global Forum president and chair Katsuhiko Kawazoe notes that since the association’s last public event in Stockholm, it had made “significant” progress.

“[We are] moving from proof-of-concept to proof-of-value, with completed PoCs now demonstrating real-world benefits,” he says. “We’ve also expanded early adoption use cases into remote construction and warehouse management … We’re focused on scaling to real-world deployment, developing reference models and strengthening industry partnerships.”

At the heart of these advances has been an evolution in the development of the APN, which the technology developers in the consortium say has reached the 2.0 stage. NTT’s Masahisa Kawashima, IOWN technology director and head of the technology working group at the IOWN Global Forum, tells Computer Weekly that over the past year, notable developments included work around multi-domain internet networking – enabling interconnection between private fibre networks – and a new packet forwarding architecture using a Hub and Spoke model. These moves are designed to improve efficiency and quality, supporting low latency and introducing deterministic quality of service.

“Multi-domain internet networking means that we can allow multiple organisations to operate their own APN networks and interconnect them to form a seamless network,” he says. “This is very important. Currently, many people are talking about the deployment of private fibre network. For example, datacentre providers will build private fibre networks to connect their distributed datacentre, but without inter-working technology, their optical networks will just form silos in the computing space. With our work, their private fibre networks will be interconnectable to form one computing space, and that would create huge value in this AI computing era.

“Also, we have defined a new architecture regarding the packet forwarding layer. Traditionally, packet networks used to consist of packet forwarding nodes, distributed geographically. But since we have an IOWN APN instead of distributed packet forwarding nodes, we can deploy a packet forwarding function in the cloud and implement a packet forwarding function in a hub and spoke architecture. This will allow us to improve the implementation of the packet forwarding function in terms of efficiency and also quality. For example, we can provide a packet forwarding service with deterministic quality of service and support new data transfer protocols such as RDMA. This has not been possible with today’s packet networks.”

Kawashima compares the latter capabilities to delivery firm FedEx, with its tracking of a packet at all stages from the moment it is sent to a customer. Deterministic quality means that, for example, latency delays can be bound to a specific value and the APN can assure that there would be no packet loss or packet reordering. A key use case for the assignation of a specific value for latency would be finance, where there is a legal requirement for specific minimum throughput speed for a legally recognised trade.

Looking at this application in greater depth, Kawashima adds that in this industry, finance firms have to deploy their transaction systems with databases that perform synchronous data replication, and in that, the latency between two database nodes should be very small. He observed that the use of the IOWN APN would fundamentally improve the performance of two databases being synchronised.

At its heart, the APN is all about ecosystems and is fundamentally built to allow for the use of geographically distributed components, offering the potential to use specifications from consortia like OpenROADM, a standard developed through collaborative work between carriers and vendors to create and promote an open, disaggregated and efficient optical networking ecosystem that allows for flexible, scalable and fully operational networks supporting various services and applications.

Adopting specifications

The IOWN approach is to take advantage of specifications defined by other consortia such as OpenROADM, as adopting such product specifications is helpful in deploying key components of the optical technology ecosystem. Kawashima sees OpenROADM as defining an open architecture. Traditionally, components are deployed in a single place and operated by a single organisation. The IOWN open APN takes advantage of the same components but allows them to be distributed geographically and operated by multiple organisations.

Other key applications considered include traffic control; using digital twins for more efficient management; network operations, particularly in the space of optical transport systems; and streaming video and TV.

The latter was exemplified clearly in May 2025 by Cho Kabuki, a theatre performance synchronising live and virtual performers in both Osaka, Japan and Taipei City, Taiwan using the APN. Even though the 100Gbps optical network between the two cities – created by NTT and Chunghwa Telecom – spanned around 3,000km, it boasted approximately 17ms one-way latency and 33.84ms round-trip time, with no jitter and stable communication.

The new APN was the product of an agreement signed between the two parties in October 2023, and is said to be based on Chunghwa Telecom and NTT’s strengths in optical and wireless transmission technologies, as well as both companies’ achievements in implementing these technologies. It links the Chunghwa Telecom headquarters in Taipei City and NTT’s Musashino R&D Centre in Japan.

Speaking on Cho Kabuki, and the most important lessons learned, Kawashima notes that for him, the standout was the latency of the connection, which made the performance of acceptable quality.

“We used to know that the latency was very important, and using fibres would help us reduce the latency,” he says. “But once we deployed the [APN], what we have found is that the very short latency would help us as if we were in the same place, even if we were remotely separated. I think one of the important findings of the latency [is that it can] help people understand the difference between traditional networks and the IOWN APN.”

AI support

He also believes that what will come next will be another similar project with Chunghwa or another partner attracted by the live streaming use case, and also support for the world of AI.

“I’m expecting that many organisations would consider building a new venue – like a stadium or musical hall – connected with IOWN APN so that the performance there can be live streamed over the IOWN APN,” says Kawashima. “But also [while] the deployment of financial service datacentres is one thing, another thing is remote GPU [graphics processing units]. Many nations are talking about sovereign AI, building an AI computing infrastructure for their country to keep their industry competitive [as regards] global competition.

“One of the important points is how to achieve global sustainability, [and] what we could do with IOWN APN is deploy an AI computing datacentre in rural areas where renewable energy is abundant and connect such areas with downtowns or suburbia where many industries have their R&D campuses. This is what we can do with IOWN APN, because IOWN APN provides high bandwidth, load, agency and transport.”

In part two of our look at the work of the IOWN project, we find out what use cases the association has been working on and when they are likely to come to fruition.

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Users Are Making A Huge Mistake With Apple’s iPhone Trade-In

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Apple hasn’t increased iPhone prices for several years, even though it has made significant changes to its iPhone lineup, like eliminating the cheaper 128GB versions from all iPhone models. While that’s good news for consumers, the iPhone is still an expensive device. That’s why it may be a good idea to use any carrier discounts, financing offers, and trade-in deals that can reduce the iPhone’s price. Luckily for iPhone users, Apple offers a trade-in program that lets buyers turn in their old iPhone for credit that can be used for a new iPhone purchase.

In theory, that’s the simplest trade-in option, as you’re dealing directly with the vendor. But there is one big mistake you may be making when dealing with the Apple Trade-In program, one that’s not immediately obvious: you’re shipping your old phone back to Apple instead of bringing it to a retail store. These are the two options Apple offers. Customers can ship the old iPhone back to Apple or hand it in at a retail store. 

Buyers have a 14-day window to ensure Apple gets the old iPhone. After that, Apple will evaluate the handset and determine whether the initial trade-in estimate still applies. Regardless of how you give Apple your old iPhone back, you should receive the same amount of credit. But that’s not going to happen if the iPhone gets damaged in transit, which is a risk specific to shipping the handset using the kit Apple sends to your home. Apple can reduce the payout to make up for the damage, or offer you $0, after discovering the iPhone is damaged in a significant way.

What iPhone owners say

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Even if you know you’ve sent in a working handset that’s in good condition, Apple will determine the trade-in value of the product it received. If the delivery process damaged the handset in any way, Apple will tax you for it. The best option is to bring the iPhone to the nearest Apple retail store to trade it in. iPhone owners who have used the Apple Trade In program only to discover the iPhone was damaged in transit shared their experiences online.

One Reddit user explained that they traded an iPhone 11 for an iPhone 17, their second experience with the trade-in program. While the first time they had no issues, Apple downgraded the payout from the initial $100 value to $40 the second time, citing “Bent device without evident screen lifting, Display has more than 2 white spots OR individual diameters exceeding 2mm.” Apple provided images to show the damage. The user had their own photos showing the handset was in good order before being shipped to Apple. “This damage was totally unexpected, and I wish I had driven down to an Apple Store to do the trade-in in person,” the user concluded. In follow-up comments, the iPhone owner said he could not get the original $100 payout, despite escalating the case.

Another Reddit user and his wife upgraded from the iPhone 15 Pro Max to the iPhone 17 Pro Max using Apple’s trade-in program. They both mailed in their handsets, but the woman’s device was reported as “back glass cracked,” and the trade-in value was adjusted to $0. The Redditor said that both of them had AppleCare+ for the iPhone 15 units, so it wouldn’t make sense to send in a broken device.

What if there’s no Apple retail store nearby?

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While trading in an old iPhone in person at an Apple store is the safest idea, not all iPhone owners live near one. After all, you’re trying to get a deal on a new iPhone, not spend more money to travel to an Apple store. There might be a way to prove to Apple that you sent a functional iPhone in good condition. 

One Reddit user shared their story about trading in an iPhone 14 Pro. They tried handing in the old handset at an Apple retail store, but Wi-Fi issues prevented the process. They used the mail-in kit after that: “It left my house in great shape… near excellent almost… and Apple emailed me a revised value of $0 because of a cracked/non-functional screen. That’s absolutely not how it left me, and since I can’t prove that it happened in transit, they are telling me they won’t honor the initial quoted value.” 

Another Reddit user responded to the thread, saying, “I record a video, doing a 360 of the device to show no physical defects, then power the device on and off. I finish the recording by packing and sealing the box and adding the label.” They added that they’ve used the process to trade in countless devices for all family members for nearly a decade. “Only once did [Apple] try to revise the value and it was corrected when I contacted Apple and offered to show the video. They took me at my word when I described what was in the video and approved the original amount.” This account is not a guarantee that Apple will stick to the original quote for an iPhone damaged in transit, but it’s something to consider.

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IOWN 2.0 – the next applications for the next-gen network

In the first part of our round-up of the Dallas meeting of the Innovative Optical and Wireless Network (IOWN) project’s Global Forum conference in October 2025, we looked at the technological development of the association’s all-photonics network (APN) – and the continued work in essentially “moving from electronics to photons”, as a representative of one of its key member companies insisted its mission boils down to.

One of the most important developments over the past year was using the APN to support a theatre performance that synchronised live and virtual performers in Japan and Taiwan, running over a network that was over 3,000km long.

In addition to validating a very important use case, the Cho Kabuki project also saw the APN being at the heart of a digital twin, whereby the producers could digitise the performance character and manipulate it in the computing space while being certain that latency would not adversely affect synchronisation. The lessons from this area are likely to be applied to digital twins in the industrial space. Smart warehouses are one key example cited.

NTT’s Masahisa Kawashima, IOWN technology director and head of the technology working group at the IOWN Global Forum, says plans also include demonstrating commercial operability of the APN and defining a new functional architecture for artificial intelligence (AI) computing platforms using co-packaged optics and optical circuit switches.

The agile deployment of optical fibres is seen as essential for forthcoming 6G networks. IOWN APN provides a virtualisation layer on top of physical fibre infrastructure. This allows multiple mobile operators to share fibre infrastructure, mitigating availability issues and costs.

It is worth noting that soon after the Dallas conference, IOWN forum member Nokia announced a strategic partnership with Nvidia to add the latter’s AI-powered radio access network (RAN) products to Nokia’s RAN portfolio, enabling communications service providers to launch AI-native 5G Advanced and 6G networks on Nvidia platforms.

Modes of modernisation

Looking at a broader perspective on what enterprises will likely need to do to tap into this revolution, Jefferson Wang, chief strategy officer for cloud first at Accenture, noted in Dallas that having made a significant $3bn investment in AI, including classical AI, generative AI and physical AI, his company was aiming to solve the big problems faced by industries, governments and societies alike, and assist them in their transformation. In short, exactly what IOWN sets out to do.

Accenture has identified five key areas for modernisation: new architecture; application refactoring; data and AI flow; infrastructure changes; and operational model changes. Wang acknowledges that to address these enterprise and societal challenges, Accenture’s cloud modernisation practice is focusing on infrastructure, network security and operational changes – and these plans will only be realised with modernised networks and compute solutions.

“If we’re helping industries, governments and societies change, there could be a challenge with where is the modernised network, where is the actual compute and how do you think about the storage? So, in our cloud practice, one of the things we identified is that modernisation is not just a lift and shift story to transform these companies,” says Wang.

“The first [challenge] is to figure out this new architecture. The second is how to think through the actual applications. Do you refactor them? Do you just lift and shift them? What do you do with the applications? The third is your data and AI. How do you do your data flow? How do you think through these different forms of AI? The fourth is what infrastructure changes, network modernisation, and security [measures] you have to put in place. And the last one is how to think about your ways of working that have to change.”

As a result, change is an imperative. It could be a change in a business’s operational models. It could be that a full stack of financial operations is needed for a company to make sure the transformation economically still makes sense.

A question of compute

When Accenture looked at all of these things, and looked at the permutations and big macro trends, Wang recalls it mostly came down to a need for more compute, and more compute close enough to where data is created or used. And that means population centres. Wang notes that firms were having a hard time finding affordable real estate and power for datacentres near population centres, and that at the time, there wasn’t a good answer for that issue.

However, what is a good answer for the Accenture cloud modernisation practice is optical networks. That is replacing the expensive and energy-hungry electronics, solving the problem at the optical layer of networks, and innovating on the transponder. Wang references Cho Kabuki as a great example of what is currently possible and where the use of an APN could lead, such as, again, digital twins in manufacturing.  

“Proving 3,000km between Taiwan and Japan with 17 milliseconds [latency] and no jitter [is] a big deal. It changes the actual economics of what we’re trying to do. That’s game-changing. I can do ‘what if’ scenarios on the digital twin. A manufacturing industry cares about the number of shifts you run, the flexibility of your line and, ultimately, worker safety. If you can’t do ‘what if’ scenario planning, it becomes very hard to be flexible. A digital twin is generally a big, heavy compute [operation], so if I can’t move it back and forth quickly, it becomes static, and it doesn’t help with the ‘what if’ scenario planning,” says Wang.

“So, knowing the value drivers of an industry is incredibly important for us, and then figuring out how we’re going to transform it. We orchestrate the ecosystem, and we’ll find an operator with the right spectrum holdings for factories, and then we’ll orchestrate the solution to figure out the architecture. That is a private network, millimetre-wave for this piece of video analytics, sub-6G comms for that piece, the communication trunk. And then we might want to be able to say, here’s the right edge solution [and] build a computer vision solution on top of it, and then we wrap the solution together. But that also requires [thinking about] what you are doing with the trunk, the optical layer of the network.”

Accenture’s commitment to IOWN spans around four years, and before this time, a number of the company’s clients were members of the association. Wang observes that when Accenture looked at the macros and big trends, such as what AI was going to do in all its forms, the result was that firms needed to think about cloud posture and compute.

Accenture then began to identify some of the potential choke points to infrastructures, some of which could also be control points given the right technological basis. How to unlock those was really the impetus to diving deeper into IOWN, which has the mission to address the three pillars of capacity, latency and energy consumption. Wang stresses what these should mean as regards a true business solution.

“Conditioning the enterprises to understand the value of each [pillar] is as hard as pulling the solution together. You say the word ‘latency’, and if you go to a CEO and you say, ‘I can reduce your latency down to one or two milliseconds,’ they might say, ‘Okay, great. What does that mean?’ And then you have to say, ‘In a fast-moving production line, here’s your error, and then, to create an automated solution, you need your latency or jitter to be at this threshold, and currently your baseline is three seconds.’ So conditioning, the value of that is actually quite hard. So those three pillars, to me as an engineer, are exciting, and the innovation that’s happening at IOWN is really exciting and fast paced, but actually the value chain of what you’re putting it into takes awareness and education, it takes a business case, and it takes conditioning to value it.

“Because one of the things that really fascinates me about IOWN [version] 2.0 is looking at the deterministic part of the [technology]. You can now have that conversation. It’s deterministic quality service, deterministic latency. [In] finance, if the regulator says [minimum network latency level] is ‘that’, then you work around that. That’s a different combination than [saying] it’s just a bit faster network. This is completely different. We have found that that level of understanding is clearer [to CEOs], it’s more quantitative. When you get deterministic, that’s where it gets very exciting.”

Moving to real-world applications

This is also where it gets more practical, as far as the association is concerned. Kawashima says that for the next 12 months, the emphasis for IOWN will be on one thing: commercialisation. The plan is simply to pass from showing a robust and well-thought-out proof of concept to accelerate into real-world applications.

He says: “To me, proof of concept is like the Wright Brothers’ first flight. It’s a great achievement, but we cannot do business right after that. We need to find business use cases that make airplane travel worth the cost. [We have to] demonstrate that telecoms operators around the world can use APNs without the risk of losing their customers. So this is the journey between proof of concept and proof of business. And of course, we will do a lot of experimentation and many proof works to prove those points.”

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Top 10 IT careers and skills stories of 2025

Artificial intelligence (AI) played a significant role in the tech skills landscape in 2025, from helping teachers do their jobs to becoming a vital skill for people to learn.

On the other hand, hiring across the technology sector was less predictable, with fewer jobs advertised, though having the right skills was found to increase job security.

Skills will continue to be important going forward, regardless of where AI takes the sector.

Admin tasks are one of the useful ways AI can make jobs easier, and at the 2025 BETT Show, the UK’s education secretary, Bridget Phillipson, claimed using it for lesson planning would free up teachers’ time for other tasks.

The UK government’s plans for the future will have teachers using AI for marking, lesson planning and personalised student feedback to leave them time to give students “the best education possible”.

The plans came alongside the government’s Plan for Change and its AI Opportunities Action Plan.

The technology job market has seen many ups and downs in recent years, seeing a spike during the pandemic followed by widespread redundancies.

In 2024, research by the Recruitment and Employment Federation (REC) found a year-on-year drop in the number of advertised tech roles, possibly as firms let the hiring landscape settle before committing to increasing numbers again.

Interest in a future technology career is more prominent among young people in the UK with special educational needs and disabilities (SEND), research found.

EngineeringUK and The Royal Society found, as part of their Science education tracker, that of the 47% of students who said they would be interested in a tech role in the future, 43% were SEND students versus 37% non-SEND students.

Encouraging young people, particularly girls, into the technology sector has been an ongoing battle, and 2025 found fewer students were interested in taking a more technical educational route than anticipated.

A report by the National Audit Office (NAO) found the Department for Education (DfE) overestimated the number of people who would be likely to take T-levels. Originally, the DfE had aimed to have 100,000 students starting a T-level in September 2025, but had to revise this number due to slower-than-expected uptake, with its latest model showing around 50,000 to 60,000 students will be taking T-levels by September 2027.

Because technology skills are in high demand, roles that require a technical skillset offer more reliability than others, according to research.

Research from LiveCareer found employees in the UK change jobs every 2.6 years on average, whereas those in roles such as robotics engineering and Java programming stay in one place for longer than average, making these careers “highly stable”.

Practical lessons at school motivate children to continue to pursue subjects and contribute towards them possibly having science, technology, engineering and maths (STEM) careers in the future, according to research.

But EngineeringUK and The Royal Society’s Science education tracker found a decline in practical classes being delivered in recent years, with more needing to be done to deliver hands-on education in the future.

Digital skills are extremely important, not only for the future of work but also for modern life, so it was a surprise to find research suggesting many children aren’t taught how to code at school.

Research from the Raspberry Pi Foundation found 70% of parents claim their children aren’t being taught how to code as part of their normal school lessons.

Philip Colligan, CEO of the education charity, warned against this becoming the norm, stating that this trend risks forgetting what skills learning to code brings with it.

An investigation into how AI is being used in schools found that many education providers are using the technology to offer personalised assistance to children who may need extra help due to life circumstances.

The Office for Standards in Education, Children’s Services and Skills (Ofsted) looked into early adopters of the technology to find out how it’s being used and assess the positives and challenges of using AI in an educational setting.

While the overall number of students choosing A-level computing dropped in 2025, the number of girls taking the subject rose for the sixth year in a row.

Girls also achieved higher grades than their male counterparts, with grade attainment increasing across the board.

However, the number of girls taking GCSE computing dropped in 2025, along with the overall number of candidates.

As the year rounded out, motor parts retailer Halfords recommended people focus on hands-on skills going forward as AI changes the tech job landscape.

Research by Halfords found parents agree with this direction, with 89% of parents having changed the advice they give their children about careers in the wake of AI adoption.

The concern is that AI will make it more difficult for people to find jobs in the future, so differing skillsets will make them more desirable candidates.

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Top 10 technology ethics stories of 2025

Throughout 2025, Computer Weekly’s technology and ethics coverage highlighted the human and socio-technical impacts of data-driven systems, particularly artificial intelligence (AI).

This included a number of reports on how the Home Office’s electronic visa (eVisa) system, which has been plagued by data quality and integrity issues from the outset, is affecting migrants in the UK; the progress of both domestic and international efforts to regulate AI; and debates around the ethics of autonomous weaponry.

A number of stories also covered the role major technology companies have played in Israel’s genocide against Palestinians, which includes providing key digital infrastructure and tools that have enabled mass killings.

In June 2025, Computer Weekly reported on ongoing technical difficulties with the Home Office’s electronic visa (eVisa) system, which has left scores of people living in the UK with no means to reliably prove their immigration status or “right” to be in the country.

Those affected by the eVisa system’s technical failings told Computer Weekly, on condition of anonymity, that the entire experience had been “anxiety-inducing” and described how their lives had been thrust into “uncertainty” by the transition to a digital, online-only immigration system.

Each also described how the “inordinate amount of stress” associated with not being able to reliably prove their immigration status had been made worse by a lack of responsiveness and help from the Home Office, which they accused of essentially leaving them in the lurch.

In one case that was reported to the Information Commissioner’s Office, the technical errors with data held by the Home Office were so severe that it found a breach of UK data protection law.

Following the initial AI Safety Summit at Bletchley Park in November 2023 and the follow-up AI Seoul Summit in May 2024, the third AI Action Summit in Paris saw dozens of governments and companies outline their commitments to making the technology open, sustainable and work for the “public interest”.

However, speaking with Computer Weekly, AI experts and summit attendees said there was a clear tension in the direction of travel, with the technology caught between competing rhetorical and developmental imperatives.

They noted, for example, that while the emphasis on AI as an open, public asset was promising, there was worryingly little in place to prevent further centralisations of power around the technology, which is still largely dominated by a handful of powerful corporations and countries.

They added that key political and industry figures – despite their apparent commitments to more positive, socially useful visions of AI – were making a worrying push towards deregulation, which could undermine public trust and create a race to the bottom in terms of safety and standards.

Despite the tensions present, there was consensus that the summit opened more room for competing visions of AI, even if there was no guarantee these would win out in the long run.

In February 2025, Google parent Alphabet dropped its pledge not to use AI in weapons systems or surveillance tools, citing a need to support the national security of “democracies”.

Despite previous commitments that made it explicit the company would “not pursue” the building of AI-powered weapons, Google – whose company motto ‘Don’t be Evil’ was replaced in 2015 with ‘Do the right thing’ – said it believed “democracies should lead in AI development, guided by core values like freedom, equality and respect for human rights”.

For military technology experts, however, the move represented a worrying change. They noted that while companies such as Google had already been supplying military technology to a range of actors, including the US and Israel, “it indicates a worrying acceptance of building out a war economy” and “signals that there is a significant market position in making AI for military purposes”.

Google’s decision was also roundly condemned by human rights organisations across the globe, which called it “shameful” and said it would set a “dangerous” precedent going forward.  

Speaking during an event hosted by the Alan Turing Institute, military planners and industry figures claimed that using AI in military contexts could unlock a range of benefits for defence organisations, and even went as far as claiming there was an ethical imperative to deploy AI in the military.

Despite being the lone voice not representing industry or military interests, Elke Schwarz, a professor of political theory at Queen Mary University London and author of Death machines: The ethics of violent technologies, warned there was a clear tension between speed and control baked into the technology.

She especially argued this “intractable problem” with AI risks taking humans further out of the military decision-making loop, in turn reducing accountability and lowering the threshold for resorting to violence.

Highlighting the reality that many of today’s AI systems are simply not very good yet, she also warned against making “wildly optimistic” claims about the revolutionary impacts of the technology in every aspect of life, including warfare.

Workers in Kenya employed to train and maintain the AI systems of major technology companies formed the Data Labelers Association (DLA) this year to challenge the “systemic injustices” they face in the workplace, with 339 members joining the organisation in its first week.

While the popular perception of AI revolves around the idea of an autodidactic machine that can act and learn with complete autonomy, the reality is that the technology requires a significant amount of human labour to complete even the most basic functions.

Despite Kenya becoming a major hub for AI-related labour, the DLA said data workers were tremendously underpaid, often earning just cents for tasks that take a number of hours to complete, and yet still face frequent pay disputes over withheld wages that are never resolved.

During the launch, DLA secretary Michael Geoffrey Abuyabo Asia said weak labour laws in Kenya were being deliberately exploited by tech companies looking to cheaply outsource their data annotation work.

The Home Office is operating at least eight AI-powered surveillance towers along the south-east coast of England, which critics have said are contributing to migrant deaths in the English Channel, representing a physical marker of increasing border militarisation that is pushing people into taking ever more dangerous routes.

As part of a project to map the state of England’s coastal surveillance, the Migrants Rights Network (MRN) and researcher Samuel Story identified eight operational autonomous surveillance towers between Hastings and Margate where people seeking asylum via the Channel often land, as well as two more that had either been dismantled or relocated.

Responding to their freedom of information (FoI) requests, the Home Office itself also tacitly acknowledged that increased border surveillance would place migrants crossing the Channel in “even greater jeopardy”.

Created by US defence company Anduril – the Elvish name for Aragorn’s sword in The Lord of the Rings, which translates to “flame of the west” – the 5.5m-tall maritime sentry towers are fitted with radar, as well as thermal and electro-optical imaging sensors, enabling the detection of “small boats” and other water-borne objects in a nine-mile radius.

Underpinned by Lattice OS, an AI-powered operating system marketed primarily to defence organisations, the towers are capable of autonomously piecing together data collected from thousands of different sources, such as sensors or drones operated by Anduril, to create a “real-time understanding of the environment”.

The European Commission has been ignoring calls to reassess Israel’s data adequacy status for over a year, despite “urgent concerns” about the country’s data protection framework and “repressive” conduct in Gaza.

In April 2024, a coalition of 17 civil society groups coordinated by European Digital Rights signed an open letter voicing concerns about the commission’s January 2024 decision to uphold Israel’s adequacy status, which permits the continued free flow of data between the country and the European Union on the basis that each has “essentially equivalent” data protection standards.

Despite their calls for clarification from the commission on “six pivotal matters” – including the rule of law in Israel, the scope of its data protection frameworks, the role of intelligence agencies, and the onward transfer of data beyond Israel’s internationally recognised borders – the groups received no response, prompting them to author a second open letter in June 2025.

They said it was clear the commission is unwilling to uphold its own standards when politically inconvenient.

Given that Israel’s tech sector accounts for 20% of its overall economic output and 53% of total exports, according to a mid-2024 report published by the Israel Innovation Authority, losing adequacy could have a profound effect on the country’s overall economy.

The European Commission told Computer Weekly it was aware of the open letters, but did not answer questions about why it had not responded.

Francesca Albanese, the special rapporteur for the human rights situation in Palestine, said in July 2025 that technology firms globally were actively “aiding and abetting” Israel’s “crimes of apartheid and genocide” against Palestinians, and issued an urgent call for companies to cease their business activities in the region.

In particular, she highlighted how the “repression of Palestinians has become progressively automated” by the increasing supply of powerful military and surveillance technologies to Israel, including drones, AI-powered targeting systems, cloud computing infrastructure, data analytics tools, biometric databases and high-tech weaponry.

She said that if the companies supplying these technologies had conducted the proper human rights due diligence – including IBM, Microsoft, Alphabet, Amazon and Palantir – they would have divested “long ago” from involvement in Israel’s illegal occupation of Gaza and the West Bank.

“After October 2023, long-standing systems of control, exploitation and dispossession metamorphosed into economic, technological and political infrastructures mobilised to inflict mass violence and immense destruction,” she said. “Entities that previously enabled and profited from Palestinian elimination and erasure within the economy of occupation, instead of disengaging, are now involved in the economy of genocide.”

Under international law, however, Albanese pointed out that the mere fact that due diligence had been conducted did not absolve companies from legal liability over their role in abuses. Instead, the liability of companies is determined by both their actions and the ultimate human rights impact.

Later, in October 2025, human rights organisations jointly called for Microsoft to immediately end any involvement with the “Israeli authorities’ systemic repression of Palestinians” and work to prevent its products or services being used to commit further “atrocity crimes”.

This followed credible allegations that Microsoft Azure was being used to facilitate mass surveillance and lethal force against Palestinians, which prompted the company to suspend services to the Israeli military unit responsible.

As part of a joint Parliamentary inquiry set up to examine how human rights can be protected in “the age of artificial intelligence”, expert witnesses told MPs and Lords that the UK government’s “uncritical and deregulatory” approach to AI would ultimately fail to deal with the technology’s highly scalable harms, and could lead to further public disenfranchisement.

“AI is regulated in the UK, but only incidentally and not well … we’re looking at a system that has big gaps in [regulatory] coverage,” said Michael Birtwistle, the Ada Lovelace Institute’s associate director of law and policy, adding that that while the AI opportunities action plan published by the government in January 2025 outlined “significant ambitions to grow AI adoption”, it contained little on what actions could be taken to mitigate AI risks, and made “no mention of human rights”.

Experts also warned that the government’s current approach, which they said favours economic growth and the commercial interests of industry above all else, could further deepen public disenfranchisement if it failed to protect ordinary people’s rights and made them feel like technology was being imposed on them from above.

Witnesses also spoke about the risk of AI exacerbating many existing issues, particularly around discrimination in society, by automating processes in ways that project historical inequalities or injustices into the future.

In January 2025, Computer Weekly reported on how Black mothers from Birmingham had organised a community-led data initiative that aims to ensure their perinatal healthcare concerns are taken seriously by medical professionals.

Drawn from Maternity Engagement Action (MEA) – an organisation that provides safe spaces and leadership for black women throughout pregnancy, birth and early motherhood – the women came together over their shared concern about the significant challenges faced by black women when seeking reproductive healthcare.

Through a process of qualitative data gathering – entailing discussions, surveys, workshops, trainings and meetings – the women developed a participatory, community-focused approach to black perinatal healthcare, culminating in the launch of MEA’s See Me, Hear Me campaign.

Speaking with Computer Weekly, Tamanda Walker – a sociologist and founder of community-focused research organisation Roots & Rigour – explained how the initiative ultimately aims to shift from the current top-down approach that defines black perinatal healthcare, to one where community data and input drives systemic change in ways that better meet the needs of local women instead.

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Top 10 surveillance, journalism and encryption stories of 2025

The tension between the rights of individuals to a private life and increasing demands from states to gain access to people’s private data increased in 2025.

During the year, Computer Weekly was the first to break several stories about the Home Office’s attempts to order Apple to give the British government access to encrypted data stored on Apple’s iCloud Advanced Data Protection (ADP) service.

Computer Weekly joined with other news publications and broadcasters to file legal submissions to successfully argue that the hearings should be held in open court after learning that the Investigatory Powers Tribunal (IPT) had cryptically listed a hearing into the case.

The UK’s intervention sparked an international row between US politicians, who were outraged that the UK’s technical capability notice (TCN) would give the UK government access to the private data of US citizens, ultimately forcing the UK to narrow its demands. Further legal hearings are likely to be brought next year by civil society groups without Apple.

An attempt by the European Union (EU) to require tech companies that provide encrypted chat and messaging services to install technology that scans messages before they are encrypted caused a backlash from technology and security experts, who warned that it would weaken security. Further attempts by the EU to reintroduce a version of Chat Control are expected in 2026.

We also reported on Europol’s attempts to develop artificial intelligence (AI) systems to analyse huge quantities of data covertly seized during international police operations against cryptophone networks EncroChat and Sky ECC. Our report highlighted Europol’s uneasy relationship with the European data protection supervisor and raised concerns about the lack of transparency by the policy agency.

Computer Weekly also interviewed GCHQ historian Dave Abrutat and Dame Muffy Calder, head of the surveillance regulator (IPCO)’s Technical Advisory Panel (TAP), shedding light on previously unreported aspects of intelligence gathering and oversight, both current and historic.

It is described by critics as a data grab and surveillance creep strategy. Europol calls it Strategic Objective 1: to become the EU’s “criminal information hub” through a strategy of mass data acquisitions.

Since 2021, the Hague-based EU law enforcement agency has embarked on an increasingly ambitious, yet largely secretive, mission to develop automated models that will affect how policing is carried out across Europe.

Based on internal documents obtained from Europol and analysed by data protection and AI experts, this investigation raises serious questions about the implications of the agency’s AI programme for people’s privacy. It also raises questions about the impact of integrating automated technologies into everyday policing across Europe without adequate oversight.

In November, London court heard that The Security Service, MI5, made “multiple” unlawful applications for phone data in an attempt to identify the confidential sources of a former BBC journalist.

The Investigatory Powers Tribunal heard that MI5 unlawfully sought the phone records of reporter Vincent Kearney on “at least” four occasions between 2006 and 2009 when he worked for the BBC in Northern Ireland.

Jude Bunting KC, representing the BBC and Kearney, told the tribunal that MI5 should disclose whether it had carried out further surveillance against Kearney and other BBC journalists for what it regards as lawful reasons.

In March, the IPT took the unusual step of publishing a notification of a closed-door hearing, days after leaks revealed that Apple was intending to appeal against the secret order.

Press and civil society groups later petitioned the tribunal, which rules on matters of national security, to hold the hearings in open court, given the important public interest surrounding the case and the fact that the government’s order had been widely leaked.

The decision by home secretary Yvette Cooper to issue a TCN requiring Apple to give UK law enforcement and intelligence services “backdoor” access to data stored by Apple’s customers on the encrypted version of its iCloud service raised tensions between the UK and the US.

In September, we reported that a lawyer representing Hamas in a legal case in the UK is seeking a judicial review to challenge North Wales Police after he was stopped and questioned, and his mobile phone seized.

The solicitor, Fahad Ansari, an Irish citizen, was detained for nearly three hours after being stopped under Schedule 7 of the Terrorism Act 2000, which allows police to seize and copy electronic devices at UK borders without reason for suspicion.

The case is understood to be the first time police have used Schedule 7 of the Terrorism Act to seize a phone belonging to a solicitor in the UK.

Ansari has filed a claim for a judicial review against the chief constable of North Wales Police and the Home Office.

US lawmakers have hit out at the UK Home Office for “attempting to gag” US companies by preventing them from telling Congress whether they have been subject to secret UK orders requiring them to hand over their users’ data.

In an unprecedented intervention, five lawmakers from both sides of the US political divide, led by senator Ron Wyden, wrote to the IPT in March, accusing the British government of undermining Congressional oversight and restricting the free speech of US companies.

Their letter came as the IPT was preparing to hear closed-door arguments from Apple, which challenged a notice requiring it to extend UK law enforcement’s existing access to encrypted data stored by customers on the Apple iCloud service anywhere in the world to users of its ADP who choose to hold encryption keys privately on their own devices.

An obscure British government committee was asked in February to advise home secretary Yvette Cooper on whether to go ahead with government demands that Apple provide British agents with a secret backdoor to break into the company’s iCloud ADP system, enabling British spies to secretly copy and read users’ private data.   

The government committee, called the Technical Advisory Board (TAB), is charged with reviewing secret legal orders given to internet communications companies to arrange surveillance of their users, and to copy their emails and files, or monitor their calls and videos. Enquiries by Computer Weekly revealed, astonishingly, that the Home Office had failed to renew the contracts for TAB members.

For Dame Muffy Calder and the small group of academics, former spies and technical experts that advise Britain’s oversight body for intelligence agencies and police on developments in technology, their work is all about “trust”.

Calder, a distinguished computer scientist whose research interests include artificial intelligence, computational modelling and automated reasoning, is the chair of the Technical Advisory Panel, a group of six experts charged with advising Britain’s surveillance oversight body.

The role of the TAP is to advise the Investigatory Powers Commissioner’s Office (IPCO), overseen by Brian Leveson in his role as investigatory powers commissioner, and nine judicial commissioners who provide independent oversight of the police and intelligence services’ use of intrusive surveillance powers.

Can this small group of experts act as an effective counterbalance to organisations such as GCHQ, MI5 and MI6, which had a combined budget of £4.5bn in 2024-2025?

The European Commission has been accused of rigging the selection process for Europe’s next data protection watchdog in favour of its own candidate, according to a complaint submitted to the European Ombudsman and shared with Computer Weekly.

Submitted by privacy experts Maria Farrell, Douwe Korff and Ian Brown, the complaint alleged “procedural irregularities” with the commission-led process, including a lack of transparency around the selection criteria for shortlisted candidates, the identities of the selection committee and why certain decisions had been made.

Canadian businessman Thomas Herdman is awaiting trial in France for his alleged role in the distribution of modified smartphones installed with the Sky ECC app.

The 63-year-old was arrested in June 2021, despite cooperating with US investigators over his involvement with the encrypted communications firm Sky ECC. He has spent 45 months in pre-trial detention since.

Computer Weekly spoke to Herdman’s daughter, Julie Kawai Herdman, who says her father is innocent, citing inaccuracies in the evidence and flawed legal processes. 

During the Second World War, there were an estimated 250 signals intelligence sites across the UK, from as far south as Cornwall to as far north as the Orkneys.

Many important sites are now in danger of disappearing, either being demolished for housing or simply being left to decay, and their significance is being lost to history.

Dave Abrutat, the official historian at GCHQ, is on a mission to preserve this history before it is lost and the folk memories are forgotten.

Abrutat estimates that since the First World War, tens of thousands of people have worked in signals intelligence and communications security in organisations as diverse as the Post Office, the Admiralty, the Royal Signals and the Foreign Office, and US Airforce sites such as Chicksands in Bedfordshire, known for its “elephant cage” radio receiver.

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Top 10 women in tech and diversity in tech stories

The past year has brought uncertainty for diversity in the tech sector as the landscape in the US turned sour, with President Donald Trump ordering the termination of diversity, equity and inclusion (DEI) projects and roles.

There were concerns that UK companies would follow suit, but as the year went on, it became clear that many are still leading the charge to improve diversity in the sector.

But research also found the number of women in tech is still growing very slowly, and women are leaving the sector in larger numbers, so as the year bows out, many questions remain about how the diversity landscape will look next year in the UK tech sector.

The write-up from the 2024 Computer Weekly and Harvey Nash Diversity in Tech event shone a light on the overlapping experiences of some underrepresented groups and how organisations can cater to these individuals.

While there has been an increasing focus on hiring specific groups of people, such as women or people of colour, this can overlook how having more than one of these characteristics can affect employee experience in the technology sector.

Firms need to better understand people’s individual experiences and make the work environment safe for everyone to better take advantage of the positives a diverse workforce can bring.

There are many reasons women avoid the technology sector, and a survey from recruitment firm Lorien found that a lack of work-life balance is a big barrier for women in tech.

Women are more likely than men to shoulder the burden of caregiving, whether for children or older family members, and without flexibility at work, this can be difficult to maintain.

Lorien’s research found that 45% of women have had difficulties with work-life balance in their role, making it the biggest barrier they have faced in their careers.

With artificial intelligence (AI) becoming increasingly embedded in everyday life, there has been a focus on ensuring the teams developing the technology reflect its diverse user base.

To this end, the UK government announced plans this year to increase the number of girls taking maths at A-level in a bid to encourage more girls into careers in AI.

As the year went on, more evidence emerged that a lack of flexibility is standing in the way of increased diversity in the tech sector.

Research conducted on behalf of the Department for Science, Innovation and Technology (DSIT) found that a lack of access to flexible working and unconscious bias are among the barriers preventing underrepresented groups from going into technology roles.

The hiring process, a lack of representation across job levels and a lack of flexible working arrangements were identified among the challenges DSIT flagged as needing “considered and sustained efforts” to address.

Further solidifying the dire state of affairs when it comes to the lack of women in the technology industry, the release of the Oliver Wyman and WeAreTechWomen Lovelace report confirmed that women are leaving the technology sector in large numbers.

Between 40,000 and 60,000 women are leaving digital roles each year, some for new roles and some to exit the sector, in many cases because of a lack of development opportunities in their careers.

Sadly, the technology sector lost a great in August, with the passing of Dame Stephanie Shirley at the age of 91.

A serial founder, entrepreneur and philanthropist, Shirley was part of the technology sector for more than 50 years, and was famously known for adopting her family nickname, Steve, to be taken seriously after efforts to start her own company fell on deaf ears once it was clear she was a woman.

Shirley was a pioneer in flexible working, founding a technology company called Freelance Programmers in 1962, where the staff of predominantly women worked from home selling software and programming.

She will be missed.

Research from The Adaptavist Group found that unequal access to AI is preventing women and people from underrepresented backgrounds from learning how to use the technology properly.

This is causing an “opportunity gap”, whereby AI training is more available to some than others – 84% of those from higher income households believe they’ve received good guidance on how to use AI compared with only 59% in the lower income bracket.

In November, Naomi Timperley, co-founder of Tech North Advocates, became the 14th person to be named Computer Weekly’s most influential woman in UK tech.

The announcement was made alongside the rest of the top 50, as well as Computer Weekly’s 2025 Rising Stars, and the list of women in tech Hall of Famers.

Throughout 2025, Beckie Taylor, public speaker and founder of Tech Returners, created a six-part documentary series called Breaking the sound barrier – voices unleashed, following the journeys of 10 women in technology as they learned skills in public speaking.

Aiming to help women at all stages in their careers build confidence, the documentary sought to show the progression of role models in the technology sector as they learn to take advantage of their influence in the sector.

While the technology sector claims it understands the need for diverse groups in senior positions, there remains a lack of women and underrepresented groups at the top.

The year rounded out with research from consultancy Think & Grow finding the UK’s fastest-growing technology startups and scaleups lack women in top positions.

According to the research, only 12% of the fastest-growing startups in the UK have a female CEO, chair or founder, and 36% have no women on their boards.

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Top 10 police technology stories of 2025

In 2025, Computer Weekly’s police technology coverage focused extensively on developments in the use of data-driven technologies such as facial recognition and predictive policing.

This included stories on the Met’s decision to deploy permanent live facial recognition (LFR) cameras in Croydon and the Home Office launching a formal consultation on laws to regulate its use, as well as reports highlighting the lawfulness, necessity and proportionality of how UK police are using the technology.

Further stories continued Computer Weekly’s ongoing coverage of police hyperscale cloud use, after documents obtained from Scottish policing bodies revealed that Microsoft is refusing to hand them critical information about its data flows.

Computer Weekly also reported on efforts to change police data protection rules, which essentially legalise previously unlawful practices and pose a risk to the UK’s law enforcement data adequacy with the European Union (EU).

One investigation by freelance journalists Apostolis Fotiadis, Giacomo Zandonini and Luděk Stavinoha also revealed how the EU’s law enforcement agency has been quietly amassing data to feed an ambitious-but-secretive artificial intelligence (AI) development programme.

The Home Office formally opened a consultation on the use of facial recognition by UK police at the start of December 2025, saying the government is committed to introducing a legal framework that sets out clear rules for the technology.

The move – initially announced by policing minister Sarah Jones in early October 2025 after then home secretary Yvette Cooper told a Lords Committee in July that the UK government will create “a proper, clear governance framework” to regulate police use of the tech – marks a distinct shift in Home Office policy, which for years has claimed there is already “comprehensive” legal framework in place.

The Home Office has now said that although a “patchwork” legal framework for police facial recognition exists (including for the increasing use of the retrospective and “operator-initiated” versions of the technology), it does not give police themselves the confidence to “use it at significantly greater scale … nor does it consistently give the public the confidence that it will be used responsibly”.

It added that the current rules governing police LFR use are “complicated and difficult to understand”, and that an ordinary member of the public would be required to read four pieces of legislation, police national guidance documents and a range of detailed legal or data protection documentation from individual forces to fully understand the basis for LFR use on their high streets.

While the use of LFR by police – beginning with the Met’s deployment at Notting Hill Carnival in August 2016 – has ramped up massively in recent years, there has so far been minimal public debate or consultation.

UK police forces are “supercharging racism” through their use of automated “predictive policing” systems, as they are based on profiling people or groups before they have committed a crime, according to a 120-page report published by Amnesty International.

While proponents claim these systems can help more efficiently direct resources, Amnesty highlighted how predictive policing tools are used to repeatedly target poor and racialised communities, as these groups have historically been “over-policed” and are therefore massively over-represented in police data sets.

This then creates a negative feedback loop, where these so-called “predictions” lead to further over-policing of certain groups and areas; reinforcing and exacerbating the pre-existing discrimination as increasing amounts of data are collected.

“The use of predictive policing tools violates human rights. The evidence that this technology keeps us safe just isn’t there, the evidence that it violates our fundamental rights is clear as day. We are all much more than computer-generated risk scores,” said Sacha Deshmukh, chief executive at Amnesty International UK, adding that these systems are deciding who is a criminal based “purely” on the colour of their skin or their socio-economic background.

In June 2025, Green Party MP Siân Berry argued in the Commons that “predictive” policing technologies infringe human rights “at their heart” and should be prohibited in the UK, after tabling an amendment to the government’s forthcoming Crime and Policing Bill.

Highlighting the dangers of using predictive policing technologies to assess the likelihood of individuals or groups committing criminal offences in the future, Berry said that “such technologies, however cleverly sold, will always need to be built on existing, flawed police data … That means that communities that have historically been over-policed will be more likely to be identified as being ‘at risk’ of future criminal behaviour.”

Berry’s amendment would also prohibit the use of certain information by UK police to “predict” people’s behaviour: “Police forces in England and Wales shall be prohibited from … Predicting the occurrence or reoccurrence of an actual or potential criminal offence based on profiling of a natural person or on assessing personality traits and characteristics, including the person’s location, or past criminal behaviour of natural persons or groups of natural persons.”

In April, the Met Police announced it was planning to install the UK’s first permanent LFR cameras in Croydon, but critics raised concerns that this continues the force’s pattern of deploying the technology in areas where the Black population is much higher than the London average.

Local councillors also complained that the decision to set up facial recognition cameras permanently has taken place without any community engagement from the force with local residents, echoing situations that have happened in boroughs such as Newham and Lewisham.

According to data gathered by Green Party London Assembly member Zoë Garbett, over half of the 180 LFR deployments that took place during 2024 were in areas where the proportion of Black residents is higher than the city’s average, including Lewisham and Haringey.

While Black people comprise 13.5% of London’s total population, the proportion is much higher in the Met’s deployment areas, with Black people making up 36% of the Haringey population, 34% of the Lewisham population, and 40.1% of the Croydon population.

“The Met’s decision to roll out facial recognition in areas of London with higher Black populations reinforces the troubling assumption that certain communities … are more likely to be criminals,” she said, adding that while nearly two million people in total had their faces scanned across the Met’s 2024 deployments, only 804 arrests were made – a rate of just 0.04%.

In March 2025, Computer Weekly reported that proposed reforms to police data protection rules could undermine law enforcement data adequacy with the European Union (EU).

During the committee stage of Parliamentary scrutiny, the government’s Data Use and Access Bill (DUAB) – now an act – sought to amend the UK’s implementation of the EU Law Enforcement Directive (LED), which is transposed into UK law via the current Data Protection Act (DPA) 2018 and represented in Part Three of the DPA, specifically.

In combination with the current data handling practices of UK law enforcement bodies, the bill’s proposed amendments to Part Three – which include allowing the routine transfer of data to offshore cloud providers, removing the need for police to log justifications when accessing data, and enabling police and intelligence services to share data outside of the LED rules – could present a challenge for UK data adequacy.

In June 2021, the European Commission granted “data adequacy” to the UK following its exit from the EU, allowing the free flow of personal data to and from the bloc to continue, but warned the decision may yet be revoked if future data protection laws diverge significantly from those in Europe.

While Computer Weekly’s previous reporting on police hyperscale cloud use has identified major problems with the ability of these services to comply with Part Three, the government’s DUAB changes are seeking to solve the issue by simply removing the requirements that are not being complied with.

To circumvent the lack of compliance with these transfer requirements, the government has simply dropped them from the DUAB, meaning policing bodies will no longer be required to assess the suitability of the transfer or report it to the data regulator.

In August, Computer Weekly reported on documents obtained from the Scottish Police Authority (SPA), which showed that Microsoft is refusing to tell Scottish policing bodies where and how the sensitive law enforcement data uploaded to its cloud services will be processed.

Citing “commercial confidentiality”, the tech giant’s refusal to hand over crucial information about its international data flows to the SPA and Police Scotland means the policing bodies are unable to satisfy the law enforcement-specific data protection rules laid out in Part Three of the Data Protection Act 2018 (DPA18), which places strict limits on the transfer of policing data outside the UK.

“MS is unable to specify what data originating from SPA will be processed outside the UK for support functions,” said the SPA in a detailed data protection impact assessment (DPIA) created for its use of O365. “To try and mitigate this risk, SPA asked to see … [the transfer risk assessments] for the countries used by MS where there is no [data] adequacy. MS declined to provide the assessments.”

The SPA DPIA also confirms that, on top of refusing to provide key information, Microsoft itself has told the police watchdog it is unable to guarantee the sovereignty of policing data held and processed within its O365 infrastructure.

Further revelations published by Computer Weekly a month later showed that policing data hosted in Microsoft’s hyperscale cloud infrastructure could be processed in more than 100 countries.

This information was not provided to the policing bodies by Microsoft, and only came to light because of an analysis conducted by independent security consultant Owen Sayers, who identified from the tech giant’s own distributed online documentation that Microsoft personnel or contractors can remotely access the data from 105 different countries, using 148 different sub-processors.

Although the documentation – which is buried in non-indexed, difficult-to-find web pages – has come to light in the context of Computer Weekly investigating police cloud use, the issue of routine data transfers in Microsoft’s cloud architecture affects the whole of the UK government and public sector, which are obliged by the G-Cloud and Tepas frameworks to ensure data remains in the UK by default.

According to multiple data protection litigation experts, the reality of Microsoft’s global data processing here, on top of its failure to meet key Part Three obligations, means data subjects could have grounds to successfully claim compensation from Police Scotland or any other force using hyperscale cloud infrastructure.

In November 2025, freelance journalists Apostolis Fotiadis, Giacomo Zandonini and Luděk Stavinoha published an extensive investigation into how the EU’s law enforcement agency has been quietly amassing data to feed an ambitious-but-secretive AI development programme.

Based on internal documents obtained from Europol, and analysed by data protection and AI experts, the investigation raised serious questions about the implications of the agency’s AI programme for people’s privacy across the bloc. 

It also raised questions about the impact of integrating automated technologies into everyday policing across Europe without adequate oversight.

In May 2025, Computer Weekly reported on an equality impact assessment that Essex Police had created for its use of live facial recognition, but the document itself – obtained under Freedom of Information rules by privacy group Big Brother Watch and shared exclusively with Computer Weekly – was plagued with inconsistencies and poor methodology.

The campaigners told Computer Weekly that, given the issues with the document, the force had likely failed to fulfil its public sector equality duty (PSED) to consider how its policies and practices could be discriminatory.

They also highlighted how the force is relying on false comparisons to other algorithms and “parroting misleading claims” from the supplier about the LFR system’s lack of bias.

Other experts noted the assessment was “clearly inadequate”, failed to look at the systemic equalities impacts of the technology, and relied exclusively on testing of entirely different software algorithms used by other police forces trained on different populations to justify its conclusions.

After being granted permission to intervene in a judicial review of the Met’s LFR use – brought by anti-knife campaigner Shaun Thompson, wrongly stopped by officers after a false LFR identification – the UK’s equality watchdog said the forces’ use of the tech is unlawful.

Highlighting how the Met is failing to meet key legal standards with its deployments – particularly around Articles 8 (right to privacy), 10 (freedom of expression) and 11 (freedom of assembly and association) of the European Convention on Human Rights – the UK’s the Equality and Human Rights Commission (EHRC) said LFR should only be used where necessary, proportionate and constrained by appropriate safeguards.

“We believe that the Metropolitan Police’s current policy falls short of this standard,” said EHRC chief John Kirkpatrick.

The EHRC further highlighted how, when used on a large scale, even low-error rates can affect a significant number of people by brining unnecessary and unwanted police attention, and warned that its use at protests could have a “chilling effect” on people’s freedom of expression and assembly.

Senior police officers from both the Met and South Wales Police have previously argued that a major benefit of facial-recognition technology is its “deterrence effect.”

A comparative study of LFR trials by law enforcement agencies in London, Wales, Berlin and Nice found that although “in-the-wild” testing is an important opportunity to collect information about how AI-based systems like LFR perform in real-world deployment environments, the police trials conducted so far have failed to take into account the socio-technical impacts of the systems in use, or to generate clear evidence of the operational benefits.

Highlighting how real-world testing of LFR systems by UK and European police is a largely ungoverned “Wild West”, the authors expressed concern that “such tests will be little more than ‘show trials’ – public performances used to legitimise the use of powerful and invasive digital technologies in support of controversial political agendas for which public debate and deliberation is lacking, while deepening governmental reliance on commercially developed technologies which fall far short of the legal and constitutional standards which public authorities are required to uphold”.

Given the scope for interference with people’s rights, the authors – Karen Yeung, an interdisciplinary professorial fellow in law, ethics and informatics at Birmingham Law School, and Wenlong Li, a research professor at Guanghua Law School, Zhejiang University – said that evidence of the technology’s effectiveness in producing its desired benefits “must pass an exceptionally high threshold” if police want to justify its use.

They added that without a rigorous and full accounting of the technology’s effects – which is currently not taking place in either the UK or Europe – it could lead to the “incremental and insidious removal” of the conditions that underpin our rights and freedoms.

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