Cortical Labs has built the first deployable biological computer, priced at $35,000
The CL1 integrates living neurons with silicon for real-time computation
The next step will be to build a biological neural network server stack
Despite the unquestionably impressive advancements we’ve witnessed in recent years, AI is still lagging far behind human intelligence. While it can process vast amounts of data, recognize patterns, and generate responses at speed, it lacks true understanding and reasoning, and although it’s getting better, the issue of hallucinations - when the AI makes stuff up - remains a problem.
Two years ago, researchers from Johns Hopkins University in Australia, together with scientists at Cortical Labs in Melbourne, suggested that the answer to real, less artificial AI was organoids - computers built with human brain cells. Fast forward to today, and Cortical Labs has turned the theory into reality with the production of the world’s first commercialized biological computer.
The CL1, which will be manufactured to order but is available for purchase online (the option to buy time on the chips will also be offered), is a Synthetic Biological Intelligence (SBI).
Connecting directly to neurons
“Real neurons are cultivated inside a nutrient-rich solution, supplying them with everything they need to be healthy. They grow across a silicon chip, which sends and receives electrical impulses into the neural structure," the company says.
The world the neurons exist in is created by Cortical Labs’ Biological Intelligence Operating System (biOS) and “runs a simulated world and sends information directly to the neurons about their environment. As the neurons react, their impulses affect their simulated world. We bring these neurons to life, and integrate them into the biOS with a mixture of hard silicon and soft tissue. You get to connect directly to these neurons.”
By deploying code directly to the real neurons, the company claims the CL1 can solve today’s most difficult challenges, “The neuron is self-programming, infinitely flexible, and the result of four billion years of evolution. What digital AI models spend tremendous resources trying to emulate, we begin with.”
"Today is the culmination of a vision that has powered Cortical Labs for almost six years," noted Dr. Hon Weng Chong, Founder and CEO of Cortical Labs. "However, our long-term mission has been to democratize this technology, making it accessible to researchers without specialized hardware and software. The CL1 is the realization of that mission. While today's announcement is incredibly exciting, it's the foundation for the next stage of innovation. The real impact and the real implications will come from every researcher, academic, or innovator that builds on top of it."
A report from New Atlasclaims Cortical is constructing a “first-of-its-kind biological neural network server stack, housing 30 individual units that each contain the cells on their electrode array, which is expected to go online in the coming months.” The site reports the company is aiming to have four stacks available for commercial use via a cloud system by the end of 2025.
As for pricing, the CL1 will be surprisingly affordable. “The units themselves are expected to have a price tag of around US$35,000, to start with (anything close to this kind of tech is currently priced at €80,000, or nearly US$85,000),” New Atlas adds.
For context, Apple’s “best failure” the Lisa, which paved the way for the Macintosh and even Microsoft Windows, sold for $9,995.00 in January 1983 which, adjusting for inflation, works out to a comparable $32,500 today. Will the CL1 prove be as important to computing’s future as the Lisa was? It's impossible to say, but for now its impact will largely depend on scalability, practical applications, and how well it integrates into existing AI and computing systems.
If, like me, you grew up with the original Star Wars movies as a kid then you will love Andor. It’s the backstory of Cassian Andor, a Rebel Alliance intelligence officer we first met in the Rogue One: A Star Wars Story film, and his five year journey from scavenger and thief to passionate revolutionary that leads up to the events of the film. In a way, his journey parallels Han Solo’s transformation from smuggler to General in the Rebel Alliance.
Unlike other recent offerings from the Disney Star Wars universe, like Skeleton Crew and The Acolyte, which while fun are really made for kids, Andor is a Star Wars TV show that’s aimed squarely at the Gen X audience who were there for the original Star Wars trilogy.
Andor season 2 is set to launch on Disney+ on April 22 in the US and April 23 for those in the UK and Australia. Not sure if the new Star Wars Disney Plus show is for you? Here are three good reasons why you won’t want to miss it.
1. It captures the magic of the original Star Wars
(Image credit: Lucasfilm/Disney Plus)
It’s hard to explain what it was like to see the original Star Wars in a cinema as a child. From the opening shot showing an absolutely huge Star Destroyer chasing down a Rebel Alliance vessel you were transported to another universe. Everything about Star Wars was believable, from the grisly way a lightsaber could cut through flesh to the constantly malfunctioning droids. I’d never seen anything like it before and I didn’t want it to end.
Looking back, and with the benefit of hindsight, I think the Ewoks in Episode VI – Return of the Jedi were a foreshadowing of the way things were going to go further down the line with Star Wars franchise, but I wasn’t emotionally prepared for the chasm of despair (Darth Maul aside) that the George Lucas’ Episode I, II and III films were going to create in my soul.
Sure, I can accept that they were made for children who were the same age as I was when I watched the original trilogy, but they were very different films and the fact that George Lucas himself had happily gone down the route of CGI-laden slop with zero emotional connection to the characters just made it all the worse.
2. It’s part of the Rogue One universe, one of the best Star Wars movies ever made
When the third trilogy of films kicked off with Episode VII – The Force Awakens, I was interested again. It had promise. It laid the groundwork for some interesting plot developments and the characters were intriguing. Then, Gareth Edwards’ Rogue One appeared out of nowhere filling in the story before A New Hope started, and it had that same thrill and excitement that the original Star Wars movies had given me as a kid. Things were looking up again.
Sadly, Episode VIII – The Last Jedi and Episode IX – The Rise of Skywalker seemed utterly pointless and directionless, casually throwing away good story lines and demoting key characters to mere bit parts, destroying my faith in the Star Wars universe.
Until, that is, Andor, one of the way-too-many Star Wars spin-off shows that Disney had invested in, appeared in 2022 and changed everything. I didn’t really know anything about Andor when I started watching it, but I was instantly hooked.
In a way each Star Wars TV show or movie has its own universe. Andor exists in the serious Star Wars universe of Rogue One. It’s not made for kids and it tackles the big issues of life. We get to revisit the characters we met in Rogue One and find out exactly how they got there, what events shaped their lives, and what sacrifices they had to make along the way.
It's highbrow, but in a good way
(Image credit: Lucasfilm/Disney Plus)
It’s been noted that the first season of Andor was a Marxist allegory. It follows a group of characters dealing with an oppressive regime (the Empire) and we can watch how a revolution by the proletariat begins, but you don’t need a degree in politics to appreciate the show. What matters is how well it’s made.
Series one of Andor apparently cost Disney a staggering $271.6 million, which was all money well spent if you ask me. It looks amazing, the acting is first rate, the plot is gritty, and the characters are believable. While it moves at a slower pace than the modern world often demands and expects, Andor delivers the kind of emotional punch that you only get from slow burn introductions to fully fleshed-out characters that you really care about.
As much as I loved the original Star Wars films, the concept of the light side of the force vs the dark side that underpinned the whole trilogy was laughably simplistic. In Andor you are asked to inhabit a world of complexity where nothing is truly black and white. Good people have to occasionally do bad things and bad people can still have redeeming features.
If you need further persuading to join the resistance and fight the empire, the first season of Andor has a 96% critics rating on Rotten Tomatoes, and an 87% audience score, and if you haven’t seen it then there’s still time to watch it before season two drops.
We may have thickness and weight details for the Galaxy S25 Edge
The price is said to match the Galaxy S25 Plus
Display bezel size is apparently similar to the Galaxy S25 Ultra
The Samsung Galaxy S25 Edge is going to be the last of the four flagship Galaxy S25 handsets to get a full launch – probably sometime next month – and now fresh leaks have given us a better idea of what to expect when the phone does land.
According to well-known tipster @UniverseIce, the phone will weigh in at 162 grams and have a thickness of 5.84 mm. That's the same weight as the standard Samsung Galaxy S25, though that phone is thicker, at 7.2 mm.
In the same post, the tipster says the price is "similar" to that of the Galaxy S25 Plus. As our Samsung Galaxy S25 Plus review will tell you, that phone comes with a starting price of $999 / £999 / AU$1,699, so adjust your S25 Edge expectations accordingly.
Finally, @UniverseIce has also posted an official rendering apparently showing the bezels of the Galaxy S25 Edge. They're apparently going to be the same size as the bezels on the Galaxy S25 Ultra, around a screen size measuring 6.656 inches corner to corner.
The story so far
The accurate rendering of the S25 edge is here, the screen size is 6.656 inches, but the bezel is the same as the S25 Ultra, which is narrower than the S25+. pic.twitter.com/XHFwVGWe4PMarch 7, 2025
Samsung gave us a good look at the Galaxy S25 Edge when the Galaxy S25 series was launched, and it was on show again at MWC 2025. So far though, we haven't been able to touch the phone or test it out.
Rumors around the handset were swirling way before it was unveiled, and we originally thought it might be called the Samsung Galaxy S25 Slim. It looks likely to get the same Snapdragon 8 Elite CPU as the other S25 phones, as well as 12GB of RAM.
It also seems likely that we'll get some decent cameras on this model, and Samsung has told us that durability is a priority for the device – even though it's going to be the thinnest of the four Samsung Galaxy S25 phones when it appears.
In fact it seems as though it's going to be quite the year for super-slim smartphones. The foldable Oppo Find N5 recently launched, measuring just 4.21 mm front to back, while Apple is rumored to be preparing its own ultra-thin phone with the iPhone 17 Air.
Photoshop is in trouble. Attacked on all sides by the best photo editing apps with powerful image editing features – Canva and Instagram chief among them – the pressure has been on to deliver a Photoshop mobile app deserving of the name.
Lest we forget, Photoshop celebrated its 35th birthday earlier this year, making it one of a very small number of brands to have simultaneously become an enduring household name even as the tectonic plates of content production have shifted dramatically beneath it.
And so, finally, the new Photoshop for iPhone is here. A free app – albeit one improved by the presence of a paid-for Creative Cloud account), Adobe makes some big claims. It delivers Photoshop’s core imaging and design tools as well as some surprisingly powerful pro features, layer masking and blending among them, as well as the generative AI features that are making a splash on the desktop version.
So, as someone who opens Photoshop on a near-daily basis for commercial photography, here’s how the new Photoshop for iPhone tickles my fancy after hours of tinkering and prodding...
Photoshop for iPhone: The likes
1. It's easy to learn
(Image credit: Adobe / Future)
I’ll never admit it, but I don’t know everything about Photoshop. And in an app that can’t offer the usual tooltips when you hover over an unfamiliar icon, Photoshop for iPhone has am slight learning curve, even if you understand the core terminology and principles.
Thank goodness, then, for the dozen or so video tutorials you can access when you first open the app. These take the form of talking-head videos describing various actions, such as working with layers, masks and selections, as well as videos provided by creators as they describe their process to building various collages and concepts.
Of these, the latter are particularly useful as they come with the source files, allowing you to see how a final image comes to be – useful if you don’t a file of your own to hand.
2. All the core features are there
(Image credit: Adobe / Future)
Blimey. A quick feel around Photoshop for iPhone’s clean-looking interface reveals a really full set of tools. There are no fire-and-forget filters here – if you want to apply a split-tone look to an image, you’re going to have to get up to your elbows in hue and saturation sliders.
That’s a book of two chapters, of course – on the one hand it takes longer, and more practice, to get the effect you want. On the other, all those years I’ve spent laboriously learning how to do things in Photoshop translate like-to-like.
3. It can handle some surprisingly big files and tasks
(Image credit: Adobe / Future)
Although Adobe is careful not to claim that Photoshop for iPhone has brought over every tool in the Photoshop chest, the app makes it clear – this is for ambitious types.
So, obviously, I fired a 1GB file over AirDrop to try and bring the whole thing to its knees. Just to make sure it didn’t work, and thus give me something to complain about, the file was a high-res, TIFF-format image in the ProPhoto colorspace. To my immense surprise, the file promptly loaded and looked… fine.
As we’ll come to in a bit, not everything makes the journey betwixt Photoshop desktop and Photoshop for iPhone, but if you’ve got big images, captured on modern cameras, you’ll be able to bring work-in-progress onto your iPhone to work on them.
And, not only is it compatible with layers – finally – it’s also compatible with layer groups, which means you can work up some surprisingly complex image constructions using the same device you use to watch TikToks on the toilet.
4. It's got Adobe Camera Raw
(Image credit: Adobe / Future)
This is another big one – import a raw file into the iPhone for Photoshop app and you’ll be greeted with a different-looking-but-still-all-there version of Adobe Camera Raw, allowing you to prepare a file for further editing via a surprisingly full set of options.
Highlights, shadows, whites and blacks all get their own sliders, as does color balance, complete with its own white balance picker. Texture, clarity, dehaze and vignette control are all there, as is a one-tap lens corrections button.
Once you’re finished, you can finish importing your image either as a standard layer or, get this, as a smart object, letting you step back into ACR if you want to fine tune things further.
5. Generative fill has made it, which is… good?
(Image credit: Adobe / Future)
Getting images share-ready just got faster, thanks to Adobe’s much-vaunted Generative AI features that also make an appearance in the new Photoshop app.
Lean on Photoshop for iPhone’s automated features and you’re in for an impressive experience – the app was uncannily good at automatically detecting and selecting foregrounds, backgrounds, people and skies. And with the annoying legwork of making selections turned into a one-tap process, removing and replacing objects from your work is equally quick.
I found generative AI – replacing skies and such, removing the odd person – to work as well on iPhone as it does on the desktop – which is to say, impressive, with occasionally hilarious outtakes.
Photoshop for iPhone: the dislikes
1. A few obvious tools are missing
(Image credit: Adobe / Future)
It strikes me as strange that an app which prides itself on being the fullest-fledged version of Photoshop that Adobe could manage is missing a few tools which, least for this snapper, are part of my daily arsenal.
For example, I think it’s impressive that Photoshop for iPhone can open a multi-layered, 1GB TIFF file with a load of adjustment layers, but less impressive that when some of those adjustment layers are levels adjustments, there’s no way of editing them. It seems strange – curves has made it, so why not levels?
And although Photoshop for iPhone does a generally decent job of automatically selecting objects, things are a bit trickier if you want to make your selections freehand, as there’s no paths tool. Not only no paths tool, but if an image has paths already in it, there’s no way of accessing them within the app.
You could make the very sensible argument that creating a spot-on bezier curve is hard enough with a mouse or trackpad, of course, and that trying to perfect a bendy path with a fingertip would be a surefire track to PTSD, but it would be nice as an inclusion.
While I'm here, Photoshop’s handy collection of filters are also missing, so if you were looking for a chance to learn, for example, frequency separation, you’ll need to stick with your desktop.
2. It's free, but only just
(Image credit: Adobe / Future)
Real talk: getting an app with the power that Photoshop for iPhone has and then grousing that it costs money is like getting breakfast cooked for you by a Michelin starred chef and then complaining about the language – this is an incredibly powerful app that produces near-desktop results from a device that fits in your pocket.
If you’re a high-end content creator, or want to tip-tap away at an image before transferring it seamlessly to your desktop, Photoshop for iPhone just set a new standard.
Still, if you want the full version – which includes omissions from the free version including generative fill (the free version gives you 10 free generative credits, the paid-for one 100), object select, the magic wand tool and a few others, you’ll need to stump up $69.99 / £69.99 a year.
Don’t sniff – that’s cheaper than Canva, and while Canva is undoubtedly the better tool for whizzing up social media templates, for photographers there’s no contest. And bear in mind – if you already have a Creative Cloud subscription, this is included for free.
3. It's not on Android yet
I’ll be honest, I don’t actually care about this one as I'm on iPhone, but if you’re in the 70% of the smartphone market that uses Android, you might.
While it’s (probably) more efficient to develop an app for Apple’s closed system of app stores and hardware, there will be plenty of content creators out there screaming for a decent image editor, and Adobe hasn’t done them a favor here.
Still, Adobe has promised that an Android version is coming "later this year", so Android fans shouldn't have to wait too much longer for it.
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Google’s AI co-scientist, built on Gemini 2.0, collaborates with researchers for discoveries It uses specialized agents to generate, eva...
Scientists firmly in AI crosshairs as Google launches co-scientist scheme to accelerate scientific breakthroughs just days after another similar project
Google’s AI co-scientist, built on Gemini 2.0, collaborates with researchers for discoveries
It uses specialized agents to generate, evaluate, and refine scientific hypotheses
Scientists can interact naturally, providing ideas or feedback to guide AI research
Artificial intelligence has already had a major impact on scientific research by accelerating discoveries, improving accuracy, and handling vast datasets that would be near-impossible for humans to analyze efficiently. AI-powered algorithms can assist in the discovery of new drugs, optimize materials for energy storage, and aid in modeling climate change.
A number of projects have been set up to make AI more useful and more reliable in a scientific setting. We’ve previously written about the concept of the “exocortex,” which aims to provide a bridge between the human mind and a network of AI agents, and more recently, an Australian research team developed a generative AI tool called LLM4SD (Large Language Model for Scientific Discovery), designed to speed up scientific breakthroughs.
Now, Google is also launching a similar initiative, which aims to turn AI into a co-scientist that can accelerate scientific discoveries. The tech giant explains, “The AI co-scientist is a multi-agent AI system that is intended to function as a collaborative tool for scientists.”
Deploying specialized scientific agents
The AI co-scientist is built on Google’s Gemini 2.0 and is the result of collaboration between Google Research, Google DeepMind, and Google Cloud AI teams. It is designed to “mirror the reasoning process underpinning the scientific method.” Google says that its system is intended to “uncover new, original knowledge and to formulate demonstrably novel research hypotheses and proposals, building upon prior evidence and tailored to specific research objectives.”
The system will use a number of specialized agents - Generation, Reflection, Ranking, Evolution, Proximity, and Meta-review - that can iteratively generate, evaluate, and refine hypotheses. Google says that scientists will be able to interact with the system in whatever way best suits their needs. This will include providing their own seed ideas or feedback on generated outputs in natural language.
“The AI co-scientist also uses tools, like web search and specialized AI models, to enhance the grounding and quality of generated hypotheses,” Google says.
Not wishing to rush its deployment, the company plans to offer access to the system for research organizations through a trusted tester program.
Not only did MWC excite us with a host of excellent tech launches and innovative concept designs, but Apple gave us new iPads and MacBooks, and AMD wowed us with an affordable GPU.
To catch up on all this and more scroll down for the week's seven biggest news stories for the week of March 8, 2025.
This year’s Mobile World Conference (MWC 2025) was host to a lot of smartphone, computing, audio, and health tech – and we know because we attended the show to check it all out. But among the crowds were a few diamonds that we decided were the best gadgets of the event.
The Xiaomi 15 Ultra was the Best Phone launch with our Xiaomi 15 Ultra review calling it one of the best camera phones ever made thanks to its 50-megapixel wide-angle, 50-megapixel ultrawide, 70-megapixel 3x telephoto and 200-megapixel 4x telephoto lenses; meanwhile the Lenovo Yoga Solar PC won Best Laptop because of its built-in solar panel innovation.
We also awarded prizes to smart contact lenses from Xpanceo, Honor’s Earbuds Open, Honor’s Watch 5 Ultra, and the ZTE Nubia Flip 2 5G to name just a few more of our 10 total award winners.
The arrival of a new MacBook Air M4 this week wasn’t exactly a surprise, given the weeks of leaks – but its pricing certainly was. Yes, despite getting a processor upgrade, two new Thunderbolt 4 ports and some new Center Stage camera tricks, Apple cut $100 / £100 off its price tag in a distinctly un-Apple move.
That doesn’t happen often at launch, and it makes the new Air (which starts at $999 / £999 / AU$1,699) a major contender for the top spot in our guide to the best laptops. Then again, Apple did also discontinue the M3 MacBook Air in the process (and made the M2 MacBook Air harder to find), leaving us short of even cheaper options. First it giveth, then it taketh away…
Apple’s iPad Air may no longer be the thinnest iPad (see the iPad Pro M4) but it is shifting into performance and productivity mode.
The latest iPad Air (11- and 13-inch) looks almost exactly like the last one (save the removal of the “iPad Air” label from the back) but it has an all-new brain in the powerful M3 chip that’ll support all sort of activities ranging from video editing and art creation to Apple Intelligence tasks.
But Apple has now paired it with a new, optional (and more affordable) Magic Keyboard that includes a function key row and a noticeably larger trackpad. This is a tablet ready for productivity work, and for some it might be, with that keyboard, a decent ultra-portable substitute.
As for the base, 11-inch iPad, it also got a chip update but only to the A16. Now, that’s a great piece of Apple Silicon but it does not support Apple Intelligence. We bet the target market won’t miss it.
Previously a professional-only hair dryer, the Supersonic r has now been added to Dyson's main consumer range. Sure, it looks a bit weird, but it's 20% smaller and 30% lighter than the original Supersonic, and more powerful too. So if you're seeking speedy styling without the arm-ache (and have suitably deep pockets), it's well worth a look.
The r boasts a wide range of compatible, magnetic styling attachments. These include the intriguing-sounding PowerfulAir and SmoothNozzle, alongside the fan-favorite FlyAway attachment. As with the current range-topper, the Supersonic Nurall, the dryer knows which one is attached, and will automatically switch to your last-used settings for each.
The Dyson Supersonic r is already available in the US, is due in the UK from April 2. This version is identical to the original pro version, save for a shorter cable (home-length, rather than salon-length), and some cool new colorways.
If you missed your chance to get last year’s see-through Ray-Ban smart glasses, then you’re in luck – Meta is releasing another limited-edition batch but they’ll be in even shorter supply.
A teaser on Meta’s website says something new is coming straight from the runway, with a promise that limited-time smart specs are launching this month, though the image also highlights a “0001/3600” stamp – suggesting that this new batch will have less than half the availability of last year’s 7,500 limited run.
Beyond the see-through frame, we don’t know anything more about the drop, but based on the runway comment we suspect this might have a connection to the recent Milan Fashion week which is where A$AP Rocky debuted as Ray-Ban’s first-ever creative director. He's already showcased a couple of standard glasses designs, and this announcement could be teasing his first smart glasses.
In easily one of the top 3 ground-breaking earbuds innovations we saw at MWC25 this week, Xiaomi unveiled the first earbuds with Wi-Fi, delivering hi-res audio up to 4.2Mbps. You want lossless audio over Wi-Fi without ruining battery life? Xiaomi’s gone and done it, with the new Buds 5 Pro. They launched in Europe, in two variants – a standard (non-Wi-Fi) Buds 5 Pro, and the Buds 5 Pro Wi-Fi. Both models have an imposing spec-sheet, but the Wi-Fi ones are particularly impressive, because they can apparently deliver lossless audio at up to 4.2Mbps using their Wi-Fi connection, which is leaps and bounds ahead of anything you’ll get with Bluetooth.
The Xiaomi Buds 5 Pro Wi-Fi have Qualcomm's S7 Pro chip and Snapdragon Sound Technology Suite, which can support up to 96kHz/24-bit hi-res audio. Of course, there's a ‘but’: it'll only work with certain smartphones. Xiaomi says a list of compatible devices will be posted on its website soon – but right now, the only known supported phones are the Xiaomi 15 and 15 Ultra. (Your iPhone? Don’t get your hopes up.)
The AMD Radeon RX 9070 XT is AMD’s first RDNA 4 card to hit the market and it’s a banger, nearly matching Nvidia’s pricier GPUs in 4K and 1440p performance for $599. It ranks close to the RTX 4080 and surpasses older AMD cards, with a 304W TGP that remains manageable at this performance level.
While it lacks top-tier ray tracing and AI compute, it excels at raster and gaming workloads, staying more affordable and less prone to price inflation. Ultimately, it’s the best value for gamers looking to upgrade without breaking the bank.
From cloud computing adoption to automation, outsourcing, and infrastructure optimization, IT teams in 2025 must navigate a landscape shaped by emerging technologies, economic pressures, and evolving cybersecurity threats.
According to Gartner, 81% of boards have yet to make significant progress in their digital transformation efforts, highlighting the ongoing challenge of balancing technology investment with broader business needs.
With budgets under scrutiny, CIOs must be more strategic than ever. Assessing your organization’s tech infrastructure is a crucial step in setting up for the year ahead, ensuring time and money are used efficiently. Here’s how to stay ahead.
1. Adopt cloud-based functions
Moving IT management to the cloud is a strategic way to reduce costs, improve efficiency, and enhance scalability. The financial case is clear—global spending on public cloud services is projected to hit $805 billion in 2024, with expectations to double by 2028. Rather than investing in costly on-premises hardware and maintenance, businesses can benefit from a subscription-based model that offers flexibility and operational agility.
Cloud adoption enables companies to deploy services quickly without the upfront costs and logistical challenges of in-house IT infrastructure management. It also provides elasticity, allowing organizations to scale resources up or down based on demand—an advantage for businesses with fluctuating workloads. Additionally, cloud platforms streamline IT management by offloading tasks such as backups, disaster recovery, and security monitoring to cloud providers.
However, moving to the cloud requires careful planning. Businesses must consider vendor lock-in risks, data sovereignty laws, and compliance requirements, especially in regulated industries. Hybrid and multi-cloud strategies can help mitigate these risks by providing greater flexibility and control. To ensure a smooth migration, proper documentation is essential—clear records of server roles, dependencies, and access controls help teams transition efficiently while maintaining operational integrity.
2. Automate administrative tasks
The adoption of IT automation has become a central focus for organizations aiming to enhance efficiency and reduce costs. IDC reports that in 2024, a significant 91% of organizations have established centralized IT automation teams, reflecting its growing importance.
IT automation not only streamlines routine tasks like software deployment, system monitoring, and user account management but also helps businesses overcome skill shortages by maximizing the efficiency of existing teams. Automated patch management, monitoring, and identity and access management (IAM) systems reduce manual workload, allowing IT teams to focus on high-value projects rather than repetitive tasks. Automating help desk functions with chatbots and ticket triaging speeds up issue resolution while scheduled backups and disaster recovery processes ensure business continuity with minimal intervention.
Security and compliance tasks also benefit from automation, with tools handling network configuration, log analysis, and threat detection in real time. Auto-scaling in cloud environments adjusts resources based on demand, optimizing costs and performance. Device provisioning can also be automated, allowing new employees to receive fully configured systems instantly. By reducing manual work, IT teams can focus on strategic initiatives rather than routine maintenance.
3. Use asset management tools
The IT Asset Management software (ITAM) market is projected to reach USD 2.9 billion by 2032, highlighting its growing role in optimizing IT resources and reducing costs. With increasingly complex IT infrastructures, businesses rely on asset management tools to track and manage hardware and software efficiently, leading to significant savings.
Integrating ITAM solutions with Active Directory (AD) enhances visibility and control over IT assets, making it easier to monitor user access, software usage, and device status across an organization. This allows IT teams to identify underutilized hardware, reassign software licenses, and cancel redundant subscriptions, ensuring optimal resource allocation. Additionally, AD integration streamlines the decommissioning of outdated hardware and automates compliance reporting.
By reducing manual asset tracking, businesses save both time and money while strengthening security and operational efficiency.
4. Evaluate IT infrastructure
Beyond managing IT assets, assessing the infrastructure that supports them is essential for cost savings and operational efficiency. A well-documented and optimized IT environment helps organizations track performance, identify inefficiencies, and ensure resources are used effectively.
For businesses hosting their own hardware, virtualization technologies like VMware or Hyper-V maximize resource utilization by running multiple virtual machines on a single physical server, reducing hardware sprawl and energy costs. Cloud and hybrid IT models also provide opportunities to offload non-critical workloads to lower-cost environments.
Infrastructure mapping tools, such as network topology diagrams and hardware architecture maps, enhance visibility and troubleshooting. A centralized IT documentation platform provides real-time visibility into server usage, data flows, and dependencies, helping IT teams evaluate workloads, streamline resource allocation, and prevent unnecessary expenditures.
5. Outsource your service management
Outsourcing IT management to an MSP allows businesses to reduce costs, access specialized expertise, and ensure round-the-clock support. MSPs provide predictable IT expenses, eliminating the need for large capital investments in infrastructure and personnel. They also offer cybersecurity, compliance management, and disaster recovery solutions, making them ideal for regulated industries like healthcare, finance, and legal. Companies with remote teams or global operations benefit from 24/7 monitoring and rapid issue resolution, while growing businesses can scale IT services without the delays of hiring and training in-house staff.
The businesses that benefit most from MSPs are small and mid-sized companies, startups, and organizations where IT is not a core function, such as retail, hospitality, and manufacturing. Highly regulated industries gain compliance assurance, while businesses with fluctuating workloads can quickly adjust IT resources. MSPs also improve business continuity by managing backup solutions and disaster recovery plans. For companies seeking cost efficiency, security, and scalability, outsourcing IT management can free up internal teams to focus on business growth and innovation.
A proactive IT strategy to embrace change
As IT teams navigate the challenges of 2025, the key to efficiency and cost savings lies in strategic decision-making. Cloud adoption, automation, IT asset management, infrastructure optimization, and outsourcing each offer unique advantages in reducing operational overhead while improving scalability and security. By leveraging cloud-based solutions, businesses can cut hardware costs and gain flexibility.
Automating routine tasks enhances productivity and helps IT teams manage growing workloads without additional hiring. Asset management tools ensure resources are fully utilized, while infrastructure evaluations optimize system performance. Meanwhile, outsourcing IT services to an MSP can provide expert support and financial predictability for businesses looking to streamline operations.
In a time of tightening budgets and increasing digital demands, a proactive IT strategy is essential. Organizations that embrace these approaches will be better positioned to reduce inefficiencies, enhance security, and support business growth without unnecessary expenditure. Whether by refining internal processes or outsourcing critical functions, investing in smarter IT management will allow businesses to stay competitive, agile, and future-ready in an evolving digital landscape.
This article was produced as part of TechRadarPro's Expert Insights channel where we feature the best and brightest minds in the technology industry today. The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here:https://www.techradar.com/news/submit-your-story-to-techradar-pro
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Lost among the hype of the AI tools and the cloud revolution, one critical question is being overlooked: how many dimensions can your stor...
The multidimensional strategy enterprises need for AI and cloud workloads
Lost among the hype of the AI tools and the cloud revolution, one critical question is being overlooked: how many dimensions can your storage system scale?
Most enterprise storage systems are designed to scale in at most two key dimensions — capacity (how much data can be stored) and performance (how quickly data can be accessed). Driven by the complex, dynamic and unpredictable nature of AI workloads and cloud-native applications, there’s been a dramatic shift in the demands placed on storage infrastructure. Storage systems built for an earlier era are now being stretched and strained in ways their designers could never have anticipated. These unprecedented demands can’t be met by simply adding sheer capacity or raw performance.
What does this mean for your organization? To keep pace with emerging workloads and unknown future requirements, your storage infrastructure must scale — without tradeoffs — in any dimension that might be conceivably required.
What is “multidimensional scaling” in data storage?
We’ve observed an uptick in customers who’ve come to us after running into one or more limitations in their outdated, inflexible storage infrastructure. This experience has helped us identify ten distinct dimensions that a storage system must be able to seamlessly scale in order to adapt to whatever the future might throw at it:
Capacity
Storage compute
Applications
Metadata
S3 objects
S3 buckets
S3 authentications per second
Throughput
Objects per second
Systems management
The ability to scale across these ten dimensions can be referred to as multidimensional scaling.
Future-ready storage: three ways multidimensional scaling powers business growth Technical explanations of each of the ten dimensions can be found in our whitepaper. Instead, let’s explore a few concrete examples of how multidimensional scaling can save your organization time, money, and headaches.
1. Have the flexibility to handle any future demand
The pace of technological change makes it nearly impossible to predict future storage requirements. Workloads that barely existed five years ago — like generative AI and real-time analytics — now dominate IT management discussions. Businesses that commit to rigid storage architectures risk being unprepared for what comes next.
Multidimensional scaling equips organizations with the flexibility to adapt to evolving requirements. Need to onboard a new AI data pipeline with microsecond latencies? Scaling access speeds ensures the infrastructure is ready. Launching a cloud-native application that spans geographies? Scaling authentication requests allows for secure, seamless global access.
This adaptability not only prevents expensive data migration but also empowers businesses to innovate without being constrained by their storage infrastructure.
2. Eliminate storage silos for seamless operations
Data silos have long been the bane of IT teams. They fragment workflows, increase costs, and make it nearly impossible to gain a unified view of your data. With multidimensional scaling, businesses can consolidate their cloud storage into a single, unified platform that handles diverse workloads — from massive AI datasets to high-frequency transactional data.
For example, scalable throughput ensures high-definition video streaming platforms can deliver seamless content playback to millions of users without requiring separate systems for ingesting and delivering media. Meanwhile, scaling the number of supported applications means businesses can run multiple workloads — from data analytics to machine learning — on a single storage solution without bottlenecks. The result? A unified system that reduces complexity and operational overhead.
3. Minimize downtime through predictable scaling
Unplanned downtime is the enemy of productivity and customer satisfaction. Traditional storage systems, which often require manual intervention to expand capacity or support increased traffic, introduce risk every time they hit a limit. Multidimensional scaling sidesteps this issue by ensuring storage systems can grow seamlessly in all directions — whether it’s handling higher transaction rates, supporting more simultaneous users, or accommodating ever-growing datasets.
For example, consider an ecommerce platform during a peak shopping event like Black Friday. With the ability to scale in transactions per second, the platform avoids crippling bottlenecks, ensuring smooth and responsive experiences for millions of shoppers. Likewise, metadata scaling supports the explosion of individual product entries and customer profiles without degrading performance. By adopting a solution designed for such scenarios, businesses can keep operations running smoothly even under extreme demand.
The future of storage is multidimensional: Is your system ready to scale?
Storage may not always be in the spotlight, but it’s the foundation of a winning IT strategy. The ability to scale across all critical dimensions turns storage from a reactive, operational necessity into a powerful driver of growth. By eliminating silos, minimizing downtime, and future-proofing against uncertainty, businesses can unlock new opportunities and avoid the pitfalls of a rigid infrastructure.
The demands of AI, cloud computing, and media-rich workloads are accelerating — your storage must keep up. The organizations that adopt multidimensional scaling today will be the ones best equipped to thrive tomorrow and benefit from long-term sustainability.
So, how many dimensions can your storage system scale?
If you don’t know the answer, it’s time to find out.
This article was produced as part of TechRadarPro's Expert Insights channel where we feature the best and brightest minds in the technology industry today. The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here:https://www.techradar.com/news/submit-your-story-to-techradar-pro
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The Digital Operational Resilience Act (DORA) came into effect on January 17, 2025. Financial services institutions (FSIs) across the EU mu...
Cyber resilience under DORA – are you prepared for the challenge?
The Digital Operational Resilience Act (DORA) came into effect on January 17, 2025. Financial services institutions (FSIs) across the EU must now fully comply with its stringent cybersecurity and operational resilience requirements. But achieving compliance is not just about meeting regulatory expectations. DORA represents a fundamental shift in how financial institutions approach digital security, ensuring they can withstand cyber threats, operational disruptions, and third-party vulnerabilities.
For firms that have already established a compliance framework, the focus now moves to long-term resilience and continuous improvement. For those still catching up, the urgency to close security gaps has never been greater. Failing to meet DORA’s requirements carries not only financial penalties but also the risk of operational restrictions and reputational damage. In this new era of cybersecurity regulation, FSIs must go beyond basic compliance measures and embed resilience into their core strategies.
A shift in cyber resilience thinking
For years, financial institutions have relied on traditional cybersecurity approaches, primarily focused on perimeter security to keep external attackers at bay. However, recent cyber incidents have made it clear that threats do not always come from outside an organization. Many damaging breaches have originated from within digital supply chains, through third-party vulnerabilities, or from internal weaknesses. In 2023, third-party attacks led to 29% of breaches with 75% of third-party breaches targeting the software and technology supply chain. This evolving threat landscape has forced financial institutions to rethink their approach. The future of cyber resilience isn’t about building higher walls - it’s about securing every layer, inside and out.
DORA mandates a resilience-first mindset, shifting the focus from prevention alone to a more comprehensive strategy that includes rapid response and recovery. It is no longer enough to defend against cyber threats; organizations must assume that breaches and disruptions will happen and ensure they can respond swiftly and effectively. This change means cybersecurity is no longer just the responsibility of IT management. It is now a board-level priority, requiring CFOs, CIOs, and risk officers to play a direct role in overseeing governance structures, risk assessments, incident response planning, and ongoing security monitoring.
The growing role of automation in compliance
With DORA now in full effect, financial institutions are also navigating additional regulatory frameworks such as the NIS2 Directive and the Cyber Resilience Act (CRA), both of which introduce further security and operational resilience requirements. The increasing complexity of compliance is prompting many organizations to turn to automation to streamline regulatory processes.
Okta’s 2024 Businesses at Work report found that data compliance tools were the fastest growing applications with 120% year-on-year growth. As firms seek to reduce the burden on their security teams while ensuring continuous adherence to evolving regulations, the rising popularity of these tools is unsurprising.
Automating security audits, compliance validation, and real-time threat detection allows financial institutions to maintain compliance efficiently while also enhancing their ability to identify and mitigate risks before they escalate into major incidents. In a landscape where regulatory expectations will only become stricter, automation is important for maintaining both security and operational efficiency.
Addressing digital supply chain risks
One of the most pressing concerns for financial institutions under DORA is the security of their digital supply chains. High-profile cyberattacks in recent years have demonstrated that vulnerabilities often originate not from within an organization's own IT infrastructure, but through weaknesses in third-party service providers, cloud platforms, and outsourced IT partners. DORA places a strong emphasis on third-party risk management, making it clear that security responsibility extends beyond a firm’s immediate network.
Ensuring supply chain resilience requires a proactive and continuous approach. FSIs must conduct regular security assessments of all external vendors, ensuring that partners adhere to the same high standards of cybersecurity and risk management. It is no longer sufficient to perform security checks only at the beginning of a partnership; ongoing monitoring and real-world scenario testing are essential to ensure that contingency plans hold up under real conditions. The ability to anticipate and respond to emerging threats within the supply chain is critical to maintaining operational stability and regulatory compliance.
While many FSIs had operational resilience frameworks in place before DORA’s enforcement date, aligning these existing efforts with the regulation’s EU-wide supervisory structure presents new challenges. Firms that have not been closely following the consultation process may struggle to adapt to these additional requirements.
At this stage, financial institutions must prioritize regular compliance evaluations to ensure that their security frameworks remain aligned with DORA’s evolving mandates. Conducting a gap analysis is critical to identifying areas where improvements are needed. Engaging with regulators, industry bodies, and technology partners can provide valuable insights into best practices and common pitfalls. Additionally, collaboration within the financial sector will be essential, as firms can learn from each other’s experiences and share strategies for maintaining long-term compliance.
The cost of non-compliance
The consequences of failing to comply with DORA are severe. Regulators now have the authority to suspend business operations, issue cease-and-desist orders, and demand access to sensitive data for compliance reviews. For critical third-party service providers, non-compliance could result in financial penalties of up to 1% of their global daily turnover for up to six months - a staggering cost that could significantly impact business operations.
Beyond regulatory penalties, the reputational damage of non-compliance may be even more devastating. The financial sector operates on trust, and any failure to meet cybersecurity standards can lead to a rapid loss of confidence from both consumers and investors. A single security lapse or compliance failure can undermine an institution’s credibility, and once trust is lost, rebuilding it can take years. FSIs must recognize that compliance is not just about avoiding fines - it is about preserving their reputation and long-term viability in an increasingly digital financial ecosystem.
The role of identity security
One of the most effective ways to strengthen cybersecurity resilience under DORA is through identity management (IAM). Research indicates that 80% of cyberattacks originate from compromised credentials, making authentication and access control a top priority for financial institutions.
A robust IAM strategy involves implementing multi-factor authentication (MFA), enforcing least-privilege access policies, and continuous monitoring for credential-based threats. The adoption of a zero-trust security model, where no user or system is automatically trusted, further enhances security by ensuring that every access request is verified before granting permissions. As cybercriminals continue to develop more sophisticated attack methods, securing user identities will remain a cornerstone of both regulatory compliance and overall cyber resilience.
An opportunity for long-term resilience
DORA has transformed the cybersecurity landscape for financial services firms. Compliance is no longer a one-time activity - it is an ongoing effort that requires constant adaptation to emerging threats and regulatory updates. Organizations that approach DORA as an opportunity to strengthen their overall cybersecurity posture will be best positioned for success.
FSIs that invest in proactive security strategies today will not only protect themselves from regulatory penalties but will also build stronger, more resilient digital ecosystems. Cyber resilience is now a business imperative, and those that take it seriously will emerge as leaders in the evolving financial landscape. Compliance in itself should not be the security strategy of any organization, but it is a rising tide that raises all ships to a better security foundation to the benefit of all.
This article was produced as part of TechRadarPro's Expert Insights channel where we feature the best and brightest minds in the technology industry today. The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here:https://www.techradar.com/news/submit-your-story-to-techradar-pro
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In a world where Generative AI (GenAI) is reshaping the global business landscape, mastering faster decision-making at the right time at t...
The decision-maker's playbook: integrating Generative AI for optimal results
In a world where Generative AI (GenAI) is reshaping the global business landscape, mastering faster decision-making at the right time at the right pace has become a crucial competency for leaders seeking to maintain a competitive edge. GenAI is rapidly becoming an integral part in business operations, driven by its ability to streamline processes, enhance effectiveness, improve competitiveness, and lead to significant cost reductions and revenue enhancements.
According to a recent IDC report, enterprise spending on GenAI globally will grow by 30% in 2024 – $40 billion from an estimated US$16 billion in 2023. Spending is also expected to swell to more than $150 billion by 2027, with the banking, retail, and professional services industries being the top spenders. This spending is bound to increase significantly beyond the estimates in coming years.
The latest developments in the field include the broad adoption from open public models to private models to pre-trained open source AI models to untrained open source and custom models. The significant investments are in both infrastructure and AI-enhanced products and services.
Enterprises are moving beyond initial experiments with GenAI and towards aggressive infrastructure and trained data model building, aiming for a transformation that integrates GenAI at the core of digital business activities. This strategic integration is expected to provide a competitive edge and catalyze a shift towards more dynamic, efficient, and innovative business environments.
For business leaders, the challenge now lies not just in adopting these technologies but in integrating GenAI with human intuition to optimize faster and right decision-making processes. This nuanced approach ensures that businesses keep pace with technological changes and stay ahead of their competitors. Understanding and harnessing the power of GenAI is essential for any organization aiming to thrive in this transformative era.
Strategic Implications of GenAI
GenAI stands distinct with its ability to create new content, ranging from text to images, from existing data sets, a stark contrast to other AI technologies that primarily analyze or interpret data. This capability positions GenAI as a revolutionary technology in enhancing business strategy, across global tech giants.
In marketing, for instance, GenAI enables the creation of highly personalized content that resonates with diverse customer segments, dramatically improving engagement rates. Product development also benefits from GenAI as it can suggest innovative product features or designs by analysing current market trends and consumer feedback. Moreover, in customer service, it enhances responsiveness and personalization, as seen in AI chatbots that provide real-time, context-aware solutions to customer queries. These examples illustrate significant efficiency gains and competitive advantages, marking GenAI as a transformative force across business functions.
One significant example of strategic implication of GenAI is in the telecommunications industry where it helps to optimize network performance and management. GenAI models analyze vast amounts of data from network operations, including traffic patterns, equipment health, and historical performance metrics. These models can simulate various scenarios to predict potential network failures or degradations before they occur.
GenAI plays a crucial role by creating synthetic datasets and simulations that mirror real-world network conditions. This allows telecom operators to test and validate maintenance strategies, capacity planning, and network upgrades without disrupting actual service. By simulating different traffic loads and failure conditions, AI can recommend optimal configurations and preemptive actions, leading to reduced downtime, improved service quality, and cost savings on emergency repairs. The predictive insights generated by AI ensure that the network remains resilient and capable of handling increasing data demands.
Challenges in AI-driven Decision-Making
Integrating GenAI into business decision-making processes presents nuanced challenges, necessitating a balanced approach to utilizing AI outputs. In complex scenarios, the efficacy of GenAI hinges on the model’s training adequacy. If a model is not sufficiently trained for a specific task, human intervention becomes crucial, as human expertise can surpass undertrained AI models in navigating intricate decisions. Conversely, when models are well-trained, they can outperform humans by delivering consistent and data-driven insights at scale.
Therefore, the integration of GenAI requires astute judgment to discern when to rely on AI and when to defer to human judgment. This balance ensures that decision-making processes harness the strengths of both AI and human intelligence, leveraging AI for efficiency and precision, while capitalizing on human intuition and experience in areas where AI’s training may fall short. This nuanced approach is essential for maximizing the potential of GenAI in business contexts.
Another notable challenge associated with integrating GenAI into business decision-making processes is data privacy. GenAI systems require vast amounts of data to train and operate effectively. This reliance on large data sets raises concerns about compliance with global data protection regulations such as GDPR in Europe or CCPA in California, which mandate strict guidelines on data usage, storage, and privacy. In the telecommunications industry, GenAI could be used to analyze customer call data to improve service offerings or personalize marketing strategies.
However, this data often contains sensitive personal information. Ensuring that GenAI applications comply with data protection laws requires robust anonymization techniques and secure data handling practices. Failing to adhere to these regulations can result in substantial fines and damage to the organization's reputation, illustrating the complexity and risk associated with deploying GenAI in sectors with stringent privacy requirements. There are multiple data masking and data anonymization solutions available in the market which needs to be applied if there are PII in the data before using them for training the models.
To navigate these complexities, leaders must stay abreast of the latest developments in GenAI by engaging with ongoing education, participating in industry forums, and fostering partnerships with AI ethics boards. By doing so, they can implement GenAI's capabilities responsibly and effectively, ensuring that their strategic decisions are both innovative and ethically sound.
Embracing the Epoch of GenAI: A Strategic Imperative
In the vanguard of technological evolution, the strategic integration of GenAI stands as a linchpin for redefining decision-making and operational efficiency within forward-looking businesses. This leap towards GenAI adoption is not merely an enhancement but a transformative shift that sets enterprises apart in today's competitive landscape.
To harness GenAI’s full capabilities, establishing a solid business case is crucial before implementation. This involves identifying key objectives and anticipated benefits aligned with business goals. Conducting a Proof of Concept (PoC) or pilot project helps validate GenAI’s potential, demonstrating tangible results and addressing any challenges. By doing so, businesses can ensure a strategic, well-informed adoption of GenAI, optimizing its impact and value.
In a nutshell, diving into GenAI isn't just about keeping up with the latest tech trends. It's about seizing an opportunity to redefine how your business operates, making decisions smarter and faster than ever before. The future is about those who adapt, and with GenAI, that future is bright.
This article was produced as part of TechRadarPro's Expert Insights channel where we feature the best and brightest minds in the technology industry today. The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here:https://www.techradar.com/news/submit-your-story-to-techradar-pro
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Daredevil: Born Again episode 2 contains an unexpected Spider-Man Easter egg The webslinger is referenced by Wilson Fisk early in the s...
Daredevil: Born Again episode 2 just gave me hope that the titular hero will join forces with Spider-Man in the MCU, but it won't happen on Disney+
Daredevil: Born Againepisode 2 contains an unexpected Spider-Man Easter egg
The webslinger is referenced by Wilson Fisk early in the series' second chapter
It's highly unlikely that Spider-Man will appear in the show
Daredevil: Born Again's first two episodes are out now on Disney+ – read my Daredevil: Born Again review to see what I thought of it – and the eagerly awaited Marvel TV show is already generating plenty of discussions online.
Chief among those fan conversations is that emotionally devastating moment in its first episode (no spoilers for anyone who ended up here but hasn't watched it yet). Discussion-worthy as that incident is, though, I was far more surprised by an obvious reference to Spider-Man in the show's second episode, and it's one that's made me even more desperate for a big-screen team-up between Peter Parker and Matt Murdock.
Spoilers follow forBorn Againepisode 2, titled 'With Interest.' Turn back now if you haven't streamed it yet on Disney+.
The devil's in the details in Born Again's second episode(Image credit: Marvel Studios/Disney Plus)
The reference is made by Wilson Fisk as he addresses New York following his mayoral election victory. Speaking via a live stream that's shown on Times Square's giant screens and beamed into homes across the city, Fisk calls his triumph "a new era for the greatest city in the world," but it's the next part of his speech that contains the Easter egg-style remark concerning the web-slinger. "We don’t need a gun-toting vigilante who wears a skull mask on his chest," Fisk says before adding: "Or a man who dresses in a spider outfit, or a guy who wears devil horns to save us."
The "skull mask" and "devil horns" remarks, which refer to Frank Castle/The Punisher and Murdock's vigilante alias, respectively, are to be expected. After all, Fisk battled both crimefighters during his time as Kingpin, aka one of New York's most fearsome crime lords, during Daredevil's three-season run on Netflix.
His quotes about "a man who dresses in a spider outfit," though, is the first time that Fisk has acknowledged Spider-Man in the Marvel Cinematic Universe (MCU). Okay, until Born Again's release, Fisk had only appeared in two MCU projects – Hawkeye and Echo – so he'd not had the chance to mention the wallcrawler. Now that he has, though, Marvel has a golden opportunity to bring Spidey and Daredevil together to potentially fight Fisk.
Will Spider-Man appear in Daredevil: Born Again?
You shouldn't expect Tom Holland's webslinger to appear in Daredevil: Born Again(Image credit: Sony Pictures/Marvel Entertainment)
Why won't Spider-Man appear in this Marvel Phase 5 project, then? In short, he's not allowed to show up in live-action productions on Disney+, aka one of the world's best streaming services.
Speaking on a February 2025 edition of the Phase Zero podcast, Marvel's Head of TV, Streaming, and Animation Brad Winderbaum explained why Spidey isn't allowed to appear in the studio's small-screen projects. Essentially, because Sony owns the long-form, live-action rights to the Spider-Man IP, the webslinger is forbidden from popping up in MCU TV shows.
However, he's allowed to feature in animated projects, which is why he made a brief cameo in X-Men 97 season 1 and starred in a completely separate animated series – Your Friendly Neighborhood Spider-Man – earlier this year. Interestingly enough, Daredevil appeared in the latter and was voiced by Charlie Cox, who's played the character in a live-action capacity since 2015.
So, what are the chances of The Man Without Fear appearing in Spider-Man 4 instead? Vincent D'Onofrio, who plays Fisk, recently denied (via The Meltdown Press) that he and Cox aren't part of that Marvel Phase 6 movie's cast. That may be the case, but let's not forget that Andrew Garfield consistently denied he'd appear in Spider-Man: No Way Home, and look what happened there.
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