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Seven years after its predecessor came to market, the Marshall Stockwell III is here — and wow, what a beauty.
From the moment I unboxed the Stockwell III, I was struck by its quality. Its striking amp-inspired aesthetic, complimented by luxurious PU leather, golden detailing, and a red velvet-infused handle made it likeable from the off. But could its sound live up to its enticing looks?
Well, I’ve spent hours upon hours listening to music and messing around with various features on Marshall’s new speaker, and I’ve got a fair few thoughts. So here’s whether it can compare with some of the best Bluetooth speakers around.
Let’s start with sound quality, an area where the Stockwell III is aiming to make quite the leap from its predecessor. Under the hood, you’ll find one three-inch woofer with 65W class D amplification alongside two 1.75-inch wide-band drivers, which both have 31W of class D amplification. This means that the Stockwell III is incredibly mighty for a speaker of its size, and offers considerably meatier audio than its predecessor could.
The Stockwell III’s impressive power really shines through in its performance — it displays a striking level of confidence with regimented, intent-filled bass, driven mids, and expressive highs that make it an incredibly enjoyable speaker to use.
(Image credit: Future)In Home Meeting by Sadao Watanabe, I was impressed with the fluent and colorful leading sax, which played alongside substantial and weighty funky bass and accurate, precise drums in the treble range. As the track built towards its climax, the Stockwell III managed the swathe of instruments with ease, and backing vocals, guitars, horns, and bass all came together in a cohesive yet nuanced ensemble.
With a deeper track, like Vision of Love by Lewis Taylor, the Stockwell III proved that its power goes a long way. Pumping deep bass pounded through our music testing room with intensity, yet remained controlled and clean. Energetic drums high up in the frequency range also came through with plenty of bite, although neither end of the spectrum overshadowed the finer electronic details in the mid-range.
The Stockwell III can extend down to 54Hz, and although it wasn’t capable of the most full-sounding, consuming sub-bass, I still found that it coped decently with ultra-low frequencies. More generally, the speaker does have a bit of a bass preference, and although this may not be to everyone’s taste, a swift turn of the bass dial can easily get you the sound you’re after.
One thing I will say is that although vocals come through clearly on the Stanmore III, they perhaps lack the warmth and texture that you’ll find from some other premium speakers. To be clear, I still found that vocal-focused tracks sounded great on the Stockwell III, but audiophiles may wish for a bit more detail and depth.
As you’d expect with a recent Marshall release, there's USB-C audio onboard for lossless playback, and the speaker sounds great with a wired connection. There’s also a 3.5mm port if you’d prefer. Unfortunately though, there’s no LDAC for higher-res Bluetooth playback — something we recently saw on the Marshall Acton IV and Marshall Stanmore IV — which would’ve been nice to see.
But a couple of features really help the Stockwell III perform at an excellent level. For example, Dynamic Loudness helps the speaker maintain clarity, even at higher volumes, and I found that the Stockwell III still sounded excellent even when pushing volume up to 90% and beyond. Marshall has also implemented its True Stereophonic 360 sound, intended to make sure it sounds excellent from every angle, and this felt effective to me, resulting in the speaker having no true ‘sweet spot’ — ideal for a party situation, say.
One final thing worth pointing out about sound, is that the Stockwell III technically outputs in stereo. However, the stereo effects aren’t particularly convincing — in part due to the Stockwell III’s limited confines.
(Image credit: Future)So the Stockwell III is a hit in the sound quality department. But how does it fare elsewhere?
Well, when it comes to features, there are quite a few options to uncover. For the moment, the Stockwell III is using the older Marshall Bluetooth app, unlike the newer Marshall software harnessed by the Acton IV, Stanmore IV, and Heston soundbars. This means that you only get a five-band EQ, though this still works well — and the speaker does sound great out of the box.
The app also enables you to use a soundstage mode to reduce or expand the width of sound, you can toggle on Source Mix to play media via wired and Bluetooth connections simultaneously, and you can map a specific EQ configuration to the speaker’s M button. In addition, there’s a placement compensation feature that genuinely makes a difference, as well as USB-C port configuration settings (you can make it charge other devices, play media, or both), and battery preservation options.
Speaking of battery, the Stockwell III is capable of providing 40 hours of playback — double what its predecessor could manage. That’s a phenomenal amount of playtime for a speaker of this size, and a seismic technological advancement, proving that Marshall are still one of the leading audio manufacturers when it comes to battery life.
I’ve spoken a bit about design already, but the Stockwell III is a true joy to behold. It’s also a lot lighter than Marshall’s alternate mid-weight speaker, the Marshall Middleton II, making it feel way more portable. It's also got more amplification power than the Middleton II and in my view, looks more premium — it’s the better mid-weight option overall in my view.
However, this does come at the expense of weaker waterproofing — the Middleton II is IP67 rated, whereas the Stockwell III is only IP55. That's still an improvement on its IPX4-rated predecessor and keeps it protected against splashes and dust ingress, but a lot of competitors shield their devices against full underwater submersion.
But let’s wrap up now. At $249.99 / £199.99 / AU$379, the Stockwell III isn’t the cheapest option on the market, but for its power, and its sound and build quality, it's an excellent value for money choice. At launch, the Stockwell II was priced the same as this new model in the US, but it's actually cheaper in the UK and Australia than its predecessor was at the point of release. With the improvements in acoustics, build, and waterproofing, that’s amazing to see.
Although the Stockwell III leaves out LDAC and is using the older Marshall Bluetooth app at the moment, I still think it’s a brilliant speaker. With confident yet elegant sound, amazing looks, and a fantastic feature-set, it's the best mid-weight Marshall speaker you can buy, and stands as a stellar upgrade over the Stockwell II.
(Image credit: Future)Marshall Stockwell III review: price & release date- Priced at $249.99 / £199.99 / AU$379
- Released in August 2026
The Marshall Stockwell III was released in August 2026, seven years after the Marshall Stockwell II came to market. It's priced at $249.99 / £199.99 / AU$379, meaning that in the US it costs the same as the Stockwell II did at launch, and it's actually cheaper in the UK and Australia. Considering the vast improvements it provides, that makes it a phenomenal value for money option. It’s available in Black and Brass or in Cream.
Marshall Stockwell III review: specsWeight
2.9 lbs / 1.3kg
Dimensions
17.1 x 5.9 x 2.8 inches / 181 x 150 x 72mm
Connectivity
Bluetooth 5.3, 3.5mm, USB-C
Battery life
40 hours
Speaker drivers
1x 3-inch woofer with 65W class D amplification, 2x 1.75-inch wide-band drivers with 31W class D amplification
Waterproofing
IP55
(Image credit: Future)Should I buy the Marshall Stockwell III?Attribute
Notes
Score
Features
Great connectivity options, feature-rich app, but still using the old version, great battery life.
4.5/5
Performance
Excellent bass, clear mids, and clean highs.
4.5/5
Design
Gorgeous looks, a more portable than the Middleton, but waterproofing not as good.
4.5/5
Value
Same price as predecessor with meaningful improvements, great price for the power and quality on offer.
5/5
Buy it if…You want a super-stylish speaker
The Stockwell III is a gorgeous speaker with enticing PU leather, golden detailing, and a stylish handle. If you want style that matches substance, this is a great option.
You want a powerful yet portable speaker
The Stockwell III is crammed with plenty of amplification power, but it's still highly portable and relatively lightweight. That’s the main reason I’d pick it over a model like the Marshall Middleton II.
You want a speaker with higher-res Bluetooth codecs
Although the Stockwell III features USB-C audio and a 3.5mm input, it skips on aptX and LDAC. The latter has been seen on a few of Marshall’s recent releases, so it would’ve been great to see on the Stockwell III.
You want the ultimate waterproof speaker
The Stockwell III is protected from dust ingress and water splashes, but there are rivals with even better waterproofing on the market. For instance, the Bang & Olufsen Beosound A1 3rd Gen has an IP67 rating, meaning it can be submerged under a meter of water for up to 30 minutes.
Marshall Stockwell III
Bang & Olufsen Beosound A1 3rd Gen
JBL Charge 6
Price
$249.99 / £199.99 / AU$379
$349 / £299 / AU$639
$149 / £129 / AU$229.95
Weight
2.9 lbs / 1.3kg
1.27 lbs / 576g
3 lbs / 1.4kg
Dimensions
17.1 x 5.9 x 2.8 inches / 181 x 150 x 72mm
5.2 x 1.8 x 5.2 inches133 x 46 x 133mm
9 x 3.9 x 3.7 inches / 229 x 99 x 94mm
Connectivity
Bluetooth 5.3, 3.5mm, USB-C
Bluetooth 5.1, USB-C
Bluetooth 5.4, USB-C
Battery life
40 hours
24 hours
24 hours (28 hours with PlayTime Boost)
Speaker drivers
1x 3-inch woofer with 65W class D amplification, 2x 1.75-inch wide-band drivers with 31W class D amplification
1 x 0.6-inch tweeter; 1 x 3.25-inch woofer, each with 1 x 30W Class D amplification
53 x 93 mm mid/bass 'racetrack' driver, 20mm tweeter
Waterproofing
IP55
IP67
IP68
Bang & Olufsen Beosound A1 3rd Gen
This luxurious speaker sounds absolutely spectacular, and it's one of the best-looking models I’ve tested. It’s pricey, but for the quality you get back in return — both sonically and in terms of build — it's well worth checking out. Read our full Bang & Olufsen Beosound A1 3rd Gen review.
JBL Charge 6
With mighty sound, impeccable waterproofing, and a swath of features, the JBL Charge 6 was fully deserving of the five stars that we awarded it last year. If you want something a little cheaper, albeit slightly less premium-looking, this is my top recommendation. Read our full JBL Charge 6 review.
- Tested over a week-long period
- Mainly streamed tracks over Tidal
- Predominantly made use of Bluetooth and USB-C connectivity
I tested the Marshall Stockwell III over the course of a week, spending hours listening to music and exhausting its various features. I mainly had it connected to my Xiaomi 17 phone, where I streamed tunes over Tidal — predominantly using Bluetooth and USB-C connectivity.
When listening to music, I made sure to play tracks from a wide variety of genres — both from the TechRadar reference playlist and from my own personal library.
More generally, I’ve spent years testing audio gear here at TechRadar, where I serve as our in-house Senior Reviews Writer. I’ve tested all kinds of gadgets, from premium wireless headphones like the Sony 1000X The Collexion through to Dolby Atmos soundbars like the LG Sound Suite Immersive Suite 7 Pro. I’ve also reviewed countless Marshall speakers, including its recent Homeline releases, so I know exactly what to look for when putting the audio specialist’s tech to the test.
- Read TechRadar’s reviews guarantee
- First reviewed: August 2026
Artificial intelligence is entering a new phase, one defined not by experimentation, but by operational deployment in environments where the stakes are high and the margin for error is narrow.
Nowhere is this shift more visible than in critical services such as healthcare, where organizations are beginning to rely on AI not just for efficiency gains, but for decisions that directly affect lives, outcomes and public trust.
As a result, the conversation around AI capability is expanding, and there’s a real need for AI systems to be sovereign, trusted and aligned to the legal, ethical and operational frameworks of the jurisdictions they serve.
Sovereign AI is emerging as a response to this need.
It is not a marketing term or a technical preference; it is a structural requirement for organizations that operate under strict regulatory oversight and handle sensitive citizen data.
For these sectors, sovereignty is the mechanism that ensures AI systems remain under the control of the people and institutions accountable for their outcomes.
Data residencyThe distinction between data residency and true sovereignty is central to this shift. Data residency simply describes where data is stored or processed. It is a geographical statement, not a legal one. Data sovereignty, by contrast, defines who controls the data, who can access it and which laws apply. It is a statement of legal authority and operational control.
Sovereign AI goes further still. A sovereign by design AI system ensures that every stage of the AI lifecycle, from training and fine tuning to inference, deployment and monitoring, sits entirely within the sovereign perimeter. This includes the IT infrastructure, the data pipelines, the model governance processes and the personnel who operate and maintain the system. Nothing crosses borders, and nothing falls under the jurisdiction of external authorities.
For critical services such as national healthcare systems, this level of assurance is not optional. These organizations must protect patient confidentiality, maintain public trust and comply with regulatory frameworks that are among the most stringent in the world. They cannot rely on AI systems whose training data is opaque, whose operational footprint spans multiple jurisdictions or whose governance structures are not aligned to local laws.
They need systems that are transparent, explainable and auditable, systems that can demonstrate not only what they do, but how and why they do it.
Regulated sectorsThis is one of the reasons why organizations in regulated sectors are increasingly looking beyond general purpose AI models. These models have driven much of the recent excitement around AI, but they are not always suitable for environments where accuracy, safety and accountability are paramount.
Their training data is broad and often scraped from the open internet. Their provenance is difficult to verify. Their operational controls vary widely. And their governance frameworks are not always designed with regulatory compliance in mind. In contrast, domain specific AI models built on trusted, curated datasets offer a level of precision and contextual understanding that general purpose models struggle to match.
They can be aligned to clinical workflows, diagnostic pathways and sector specific terminology. They can be governed with the level of transparency and auditability that regulators increasingly expect. And when built within a sovereign architecture, they can operate entirely within the legal and ethical boundaries required by critical services.
The rise of sovereign AI signals a broader transformation in how regulated sectors will adopt and govern AI over the next decade. AI architectures will become more localized, with sovereign cloud regions, isolated compute environments and jurisdiction specific MLOps pipelines becoming the norm. Governance will become as important as model performance, with explainability, auditability and lifecycle control treated as first class requirements.
Regulators will demand greater transparency around model provenance, training data lineage and operational controls. And AI supply chains, from data ingestion to model deployment, will be scrutinized with the same rigor applied to other critical infrastructure.
What this future looks likeHealthcare offers a clear illustration of what this future looks like. When deployed responsibly, sovereign AI can automate clinical workflows while maintaining strict data protection, support diagnostic decision making with transparent and explainable models, improve patient flow through predictive analytics and optimize resource allocation across hospitals and care pathways.
By reducing administrative burden and helping ensure patients are directed to the most appropriate care pathway more efficiently, it also has the potential to improve productivity and support better use of constrained healthcare resources.
It can also enable population level insights without compromising privacy, allowing healthcare systems to plan more effectively and respond more rapidly to emerging challenges. These benefits are only achievable when the underlying AI systems are trusted, transparent and sovereign.
Sovereign AI represents a turning point in how critical services approach digital transformation. It acknowledges that trust, governance and domain expertise are just as important as model capability.
It recognizes that AI must be built to serve the needs, values and legal frameworks of the communities it supports. And it reflects a broader truth: as AI becomes more deeply embedded in essential services, sovereignty will not be a niche requirement. It will be the standard.
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This article was produced as part of TechRadar Pro Perspectives, our channel to feature the best and brightest minds in the technology industry today.
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The reality for many organizations is that their employees are already being deceived. So, probably are their customers, their investors, and their board.
For years, the warnings have focused on the impact of deepfakes, such as fake CEOs on video calls, cloned voices authorizing payments, and fraudulent emails.
The tactics themselves are not new, but over the past few years, AI has made them cheaper to produce, harder to spot, and far more convincing within the ordinary flow of business.
It’s this trend that means that the principle of Zero Trust is becoming as relevant to how information is treated as it has been to access.
In cybersecurity, Zero Trust starts from a simple assumption: no user, device, application or request should be trusted by default.
In the age of AI-generated misinformation, businesses need to apply that same mindset to the information that moves throughout their organization.
The new trust crisisEmployees, customers, investors and partners are all making decisions based on what they see, read and hear. If that information is false, manipulated or stripped of context, the consequences can move quickly from confusion to commercial damage. Which is why misinformation, disinformation, and malinformation need to be treated as business risks.
Misinformation – the false content that spreads without deliberate intent – has always been an issue. Disinformation, constructed specifically to deceive, is now easier to manufacture at scale than ever before. And malinformation – true information, often deliberately stripped of context and weaponized – might be the most insidious of the three. A competitor, a criminal group, or an activist campaign no longer needs to breach a network to cause serious damage. They can influence those associated and concerned with an organization simply by shaping what those people see and believe.
What makes this particularly difficult for businesses is that it mirrors something individuals are already struggling with. In an environment saturated with AI-generated content, the habits that people must employ to protect themselves – pause before reacting, questioning the source, verifying before acting – are the same habits that organizations must build into how they operate.
Essentially, the instinct to trust has become a vulnerability. And addressing that requires something closer to a structural response than an awareness campaign.
The importance of verified trustThis is where Zero Trust becomes the strategy. Traditionally, organizations have thought about Zero Trust through the lens of least privilege, ensuring that the right users have access to the right applications, and nothing more. But in an AI-driven information environment, that principle needs to evolve. Businesses can no longer focus just on who is requesting access. They also need to interrogate what information is being used, what action is being taken, and whether the intent behind the action can be trusted.
The next stage is going beyond authentication and investigating authenticity, and asking questions such as “Is this information verified?”, “Is this image real or AI-generated?”, and “Has this content been edited?”. Zero Trust gives businesses a framework for answering those questions. It forces organizations to verify before they act, limit exposure where they can, and reduce the risk of false, manipulated, or decontextualised information moving unchecked through the business.
Standards bodies such as the C2PA (Coalition for Content Provenance and Authenticity) show the direction that this is heading: a future where provenance and integrity are embedded in digital content itself, the same way a padlock in a browser indicates that the connection is secure. Essentially trust won’t be something that businesses need to check for, rather it will be something that travels with the information as provenance feeds verifications. Every piece of content therefore becomes a signal in a continuous trust decision.
Developing Trust in the agentic eraThe need to trust intent has become even more pressing as AI agents enter the workplace. These agents will increasingly operate like another person working alongside us, mirroring our behaviors, such as reading documents, interpreting data, making decisions, and acting. The difference, however, is that these non-human identities are moving at machine speed, where human-speed verification has no hope of keeping up.
That means AI agents must be governed through a Zero Trust model from the outset. An agent should not be trusted just because it sits inside the enterprise, has been approved by a user, or is connected to corporate systems. Its identity, permissions, behavior and outputs all need to be continuously validated. Just as importantly, agents should be governed by least privilege, the principle of least information, and least function, granting only the minimum access, data, and capability required for a specific task.
However, these agents create a trust challenge that identity management alone can’t solve. Businesses will need to know whether they are dealing with a human or a machine, whether an agent is behaving responsibly, and whether its actions reflect an organization’s values and boundaries. Effectively, businesses will need to adopt an operating constitution that agents are continuously measured against.
And in this AI era, enterprises must interrogate information, content, intent, behavior, and action in realtime and continuously as identity is generally just checked as front door access. However, given the scale of the task at hand, it will take AI to audit, flag, and govern as needed and keep the chain of trust intact.
Engineering trust into the businessThe organizations that succeed will be those that treat trust as something to be engineered, rather than assumed. Misinformation, disinformation, malinformation are security, resilience, and leadership challenges, and AI is making them harder to ignore.
As technology continues to shape how information is created, shared, and acted upon, businesses need to build the same discipline around authenticity that they’ve always applied to access. That means verifying content, questioning intent, and limiting what AI systems can do to what they actually need to do.
Trust can no longer be the default setting. Instead, in today’s operating environment, it must be a decision that’s made continuously, at machine speed, across information, intent, behavior, and action. The good news is that the framework already exists in Zero Trust. What needs to change however is how organizations apply it, broadening the scope to include information, intent, behavior, and action.
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- UK workers could unlock more than three weeks of unproductive time a year by embracing flexible working
- However many say they aren't confident in their mobile networks
- Boosting connectivity could lead to a potential £115 billion productivity boost to the UK economy
Embracing flexible working could help give the British economy a major boost, and unlock productivity across the nation, new research has claimed.
A report from VodafoneThree says boosting "connectivity confidence" to work on the go could help unlock more than three weeks of unproductive time a year, leading to a potential £115 billion productivity boost to the UK economy.
However, the report noted this all depends on being more confident in such mobile working, which can only happen if the UK's mobile networks are resilient and reliable enough.
No more wasted timeThe study, which surveyed 2,000 adults across the UK, found a third of Brits feel they are unable to leave their home or office Wi-Fi to get things done on-the-go, while almost half (46%) spend most of their working day at a desk.
Nearly half (43%) of those with a job said they would prioritise working on the move if they felt more confident in the quality of the UK’s mobile networks, with accessing and collaborating on work documents, taking calls on commutes and joining remote NHS consultations from phones all named as big tame savers.
British workers said they wasted almost two hours a week being unproductive on the commute, and over an hour sitting in waiting rooms and waiting to pick up children or dependents - wasted time which totals more than 10 hours a week, more than France, Germany, Spain, Australia, Singapore, Hungary and South Korea.
The lack of flexibility even extend into the weekend, as more than a third (34%) said their weekend to do list would be shorter if they could be more productive on the go, with booking all GP appointments through apps or their phones (23%), pay utility bills (27%) and book tickets on-the-go (16%) also named as tasks which could benefit from better connectivity.
“Boosting the UK’s productivity doesn’t have to mean spending more hours behind our desks," noted Andrea Donà, Chief Network Officer at VodafoneThree. "But to change the way the nation works, we need mobile networks that keep us connected to colleagues, technology and essential services on the move."
“The UK Government is rightly taking this issue seriously. With improvements to the planning system and regulations fit for the digital economy, our networks can help to make public services more accessible, close digital divides and lay the foundations for growth.”
The survey comes as VodafoneThree looks to continue its rollout of a UK-wide £11 billion investment programme to help raise the speed and quality of connectivity across the country following its merger with Three in 2025.
The company hopes this expansion will bring 5G Standalone coverage to 99% of the UK population by 2030, and 99.96% by 2034, helping millions of people to work, shop and access public services seamlessly.


