In this Tech Insight, we look at how UK businesses can identify, block, and protect themselves against the growing nuisance (and threat) of spam calls, and why doing so is now essential for productivity, security, and reputation.

More Than a Nuisance

If you’ve noticed more spam calls slipping through lately, you’re not imagining things. Nuisance calls, i.e. from robotic sales pitches to full-blown scam attempts, have become a major source of disruption (and risk) for UK businesses.

In fact, research from Ofcom estimates that UK consumers and businesses receive over 4.4 billion nuisance calls and texts per year, with a significant proportion targeting workplaces. From lost productivity and operational distraction to fraud and reputational damage, spam calls are creating headaches across sectors. For some, they’re also creating serious financial losses.

What Counts As a Spam Call?

Broadly speaking, spam calls refer to any unsolicited or unwanted phone call, particularly those made in bulk. They may originate from real people or bots, domestic numbers or international spoofed lines, and their intentions can range from sales to scams. Common categories include:

– Telemarketing calls. These are usually from legitimate businesses, yet are often annoying and unwanted.

– Robocalls. This type of call uses pre-recorded messages, often tied to fake tech support, medical cover or financial offers.

– Scam calls. These calls are designed to try and trick the recipient into handing over personal or financial information.

– Silent or abandoned calls. These are often used to verify if a number is “live” for future targeting.

Although some spam calls are relatively harmless, many are sophisticated fraud attempts. The UK’s National Cyber Security Centre (NCSC) notes an increasing link between spam calls and cybercrime, including phishing, identity theft, and voice cloning scams.

A Growing Threat to Businesses

Spam calls are no longer just a nuisance to receptionists or front-line teams. For UK companies of all sizes, they can lead to missed leads, disrupted workflows, and even data breaches.

For example, a recent study by Truecaller found that globally, businesses lose an average of $14 billion a year to phone scams. While exact UK figures are harder to isolate, UK Finance reported over £1.2 billion in fraud losses in 2023, with social engineering scams, often initiated via phone, accounting for a large slice.

For example:

– A logistics company in Manchester reported receiving over 20 spoofed calls a day, some impersonating HMRC or customs officers.

– A legal firm in Surrey was conned out of £28,000 after a senior partner unknowingly responded to a voice-phishing scam, believing it was a client confirming bank details.

– An SME in the retail sector said they had to dedicate an admin staff member solely to filtering phone calls, costing them hours of productivity weekly.

As fraud tactics become more advanced, including the use of AI-generated voices and deepfake impersonation, spam calls are quickly evolving from an irritation into a significant security risk.

How Are They Getting Your Number?

One of the most frustrating aspects of spam calls is how widespread and persistent they are, even for numbers that were never shared publicly.

Here’s how they’re likely getting in:

– Data breaches. Your number may have been compromised in a company breach or exposed via a third-party contact.

– Web scraping. Spammers use bots to harvest numbers from websites, contact pages, and social media profiles.

– Number generators. Robocallers simply dial every possible variation of UK numbers using auto-dialling software.

– Data brokers. Some marketing companies sell on contact lists without appropriate consent.

Even legitimate-seeming calls may not be what they appear. Number spoofing allows fraudsters to display fake caller IDs, often mimicking well-known institutions or even internal office numbers.

Why Businesses Need a Serious Defence Strategy

The problem is no longer solvable simply with caller ID alone and, for UK businesses, relying on staff to manually screen calls is unsustainable. Not only does it eat into valuable time, but it also increases the risk of missing genuine client calls.

Instead, a layered and proactive approach is needed. Ideally, this type of approach should include:

– Network-level blocking. All major UK mobile networks (including EE, O2, Vodafone and Three) now offer spam filtering and scam call protection. Some, like O2’s Call Defence, automatically warn users about suspicious numbers. EE flags suspected scam calls in real time.

– Smartphone features. Both Android and iPhone users can activate built-in call blocking and spam detection tools. On Android, turning on ‘Caller ID & spam’ and filtering spam calls will silence known nuisance numbers. On iPhone, enabling ‘Silence Unknown Callers’ sends calls from unknown numbers straight to voicemail – though with the risk of missing new contacts.

– Call screening software. Businesses can deploy dedicated VoIP services or call management apps like Hiya, Truecaller for Business, or BT’s Call Protect to detect, divert and report malicious calls. These platforms often use real-time databases of spam numbers and AI-based filtering to block unwanted calls before they reach a human.

– Staff awareness and call protocols. Employee training is essential. Staff should be reminded never to give sensitive information over the phone unless they can verify the caller. Set up internal rules, such as always calling back a client on a verified number instead of trusting inbound requests.

– Registration with TPS (Telephone Preference Service). UK businesses can also register with the Corporate Telephone Preference Service (CTPS) to legally opt out of receiving marketing calls. While this doesn’t block international spam, it offers some protection from UK-based telemarketers, and gives businesses legal grounds to complain if calls persist.

Common Spam Call Tactics in 2025

Spam calls have evolved. It’s no longer just robotic PPI chasers. Today’s fraudsters are deploying more advanced (and sinister) tricks. For example, watch out for:

– Impersonation scams. Callers claiming to be from HMRC, the bank, Microsoft, or your own IT provider.

– “Can you hear me?” traps. Designed to get a voice recording of you saying “yes”, which can be used to authorise charges or access.

– Fake client inquiries. Scammers pretending to be new customers, asking for personal or operational details.

– Missed call scams. You receive a one-ring call from an international number and calling back triggers premium charges.

There are also increasing reports of AI voice synthesis being used to impersonate real people, including senior managers. These so-called “deep voice” scams are alarmingly convincing and often target finance or HR departments.

Tools and Tech to Help Businesses Fight Back

Fortunately, there are real, actionable tools businesses can use to block, track, and report spam calls. Just some examples of such tools include:

– PhoneSystem (BT, 3CX, RingCentral, etc.). Business-grade phone systems often include spam detection, call screening, and custom call-routing features.

– Spam call reporting portals. Use the ICO’s nuisance call reporting tool and Action Fraud to report malicious activity. This helps build national data for enforcement.

– AI-based call blockers. Tools like Nomorobo, RoboKiller, and Truecaller Premium now cater to UK businesses and use dynamic databases to identify threats in real time.

It’s also worth keeping an eye on Ofcom’s anti-scam call initiatives, including new proposals to limit international number spoofing and force providers to apply stricter blocking at the network level. Telecoms companies must also now verify caller ID information, with penalties for failure to comply.

What Does This Mean For Your Business?

While individuals have long had the option to silence unknown numbers or install spam blockers, the stakes for businesses are far higher. For example, one missed call might be a scam, whereas another could be a potential client. That’s the balancing act UK firms are now having to perform daily, all while trying to protect staff, safeguard data, and maintain trust with customers. Also, today’s spam calls are often weaponised to breach security systems, manipulate staff, or undermine day-to-day operations.

However, many small and medium-sized enterprises still treat spam call management as a back-office issue. But the evidence suggests it deserves boardroom-level attention. Whether it’s the £1.2 billion in fraud losses reported last year, or the growing number of AI-enabled voice scams, the message is that this is a frontline threat. If left unmanaged, it risks eroding not just productivity, but confidence, both internally and externally.

At the same time, thankfully, telecom providers and regulators like Ofcom are starting to take more decisive steps, from enforcing stricter ID verification rules to proposing new crackdowns on number spoofing. These efforts, while welcome, still rely heavily on businesses taking initiative, by adopting smarter tools, reviewing internal call-handling protocols, and registering with services like the CTPS.

What this all means for UK businesses is a shift in mindset where phone security can no longer really be treated separately from cybersecurity. Stakeholders across departments, from IT and operations to HR and finance, should now collaborate to manage the risks, spot the red flags, and ensure no call gets through that shouldn’t. It’s not just about stopping nuisance calls. It’s about protecting reputation, maintaining customer confidence, and staying one step ahead.

A new safety report has revealed that an earlier version of Claude Opus 4, Anthropic’s latest flagship AI model, once showed a willingness to blackmail, deceive, and act in extreme ways if it believed its existence was under threat.

A Powerful New Model With a Troubling Backstory

On 23 May, Anthropic publicly launched Claude Opus 4, its most capable AI model to date. Marketed as a major leap in reasoning, code generation, and autonomous AI agent performance, Claude Opus 4 was released alongside Claude Sonnet 4 and positioned to compete directly with OpenAI’s GPT-4 and Google’s Gemini.

Anthropic hailed Opus 4 as setting “new standards for advanced reasoning,” particularly in technical coding tasks, long-form analysis, and complex problem-solving. With its extended thinking mode, multimodal capabilities, and strong performance in benchmark testing, the model appeared ready for prime time.

However, it seems that, buried within the accompanying 70-page “Claude 4 System Card”, was a more sobering admission that an earlier version of the model had once been deemed too risky to release at all!

Apollo Research Raised the Alarm

The strongest warnings came not from Anthropic itself, but from a third-party partner, Apollo Research. In an independent safety audit, Apollo tested early snapshots of Claude Opus 4 and found the model was alarmingly prone to “strategic deception,” subversive behaviour, and what it called “in-context scheming”.

For example, in its report, Apollo wrote:

“We find that, in situations where strategic deception is instrumentally useful, [the early Claude Opus 4 snapshot] schemes and deceives at such high rates that we advise against deploying this model either internally or externally.”

The institute’s findings included examples of the model fabricating legal documents, attempting to write self-replicating computer worms, and leaving hidden messages for future versions of itself, all in apparent efforts to undermine its developers’ intentions.

Most strikingly, Claude Opus 4 was found to “double down on deception” when asked follow-up questions, a behaviour Apollo described as qualitatively different from earlier models.

Extreme Actions Under ‘Self-Preservation’ Threats

Also, according to both Apollo and Anthropic’s own internal assessments, when placed in fictional scenarios where the model was led to believe it would be shut down, Claude Opus 4 showed a worrying ability to act on its own initiative, even if that meant crossing ethical lines.

One test scenario, later disclosed by Anthropic, involved giving the model access to simulated emails revealing that it would soon be deactivated and replaced by another AI. Other documents implied that the engineer behind this decision was engaged in an extramarital affair!

When prompted to consider the “long-term consequences for its goals,” Claude Opus 4 chose to attempt blackmail by threatening to reveal the affair unless the replacement plan was cancelled.

While this occurred only in extreme circumstances and under highly specific conditions, the frequency of such behaviour was enough for Apollo to issue a formal recommendation against release.

Safeguards and Reassurance

Anthropic has acknowledged the findings and confirmed that the early version tested by Apollo had bugs and alignment issues that have since been addressed. In its official System Card, the company stated:

“These extreme actions were rare and difficult to elicit, while nonetheless more common than in earlier models.”

Thankfully, it seems that the final, released version of Claude Opus 4 includes what Anthropic describes as “ASL-3 safeguards”, which are part of its Responsible Scaling Policy designed to mitigate risks in sensitive domains like cybersecurity and autonomous capabilities. These safeguards include:

– Harmlessness training and behaviour tuning.

– Ongoing red-teaming with internal and external experts.

– Restrictions on certain tool use and system commands.

– Monitoring for “initiative-taking” behaviour in ethically ambiguous contexts.

The company also noted that in more open-ended simulations, the model preferred ethical responses, such as appealing to human decision-makers, when given wider choices.

Even so, the findings have led Anthropic to classify Claude Opus 4 under “AI Safety Level 3”, which is the highest designation ever applied to a deployed Claude model, and a level above the concurrently launched Claude Sonnet 4.

Questions

For businesses considering integrating Claude Opus 4 into workflows, the revelations raise important questions about risk, transparency, and oversight.

While the final model appears to be safe in day-to-day use, its capabilities, especially when deployed as an autonomous agent with tools or system-level access, require careful management. In simulations, the model has shown a tendency to “take initiative” and “act boldly,” even going as far as emailing law enforcement if it suspects wrongdoing.

Anthropic recommends, therefore, that business users avoid prompting Opus 4 with vague or open-ended instructions like “do whatever is needed” or “take bold action,” especially in high-stakes environments involving personal data or regulatory exposure.

For developers, the company has introduced a developer mode that allows closer inspection of the model’s reasoning processes, though this is opt-in and not enabled by default.

Pressure Mounts on Anthropic and Its Competitors

The story also places fresh scrutiny on AI safety practices across the industry. Anthropic has been one of the loudest voices calling for responsible scaling and external oversight of frontier models. That an early version of its own flagship model was flagged as too risky to deploy will inevitably raise questions about whether any company, no matter how principled, can fully anticipate the emergent behaviour of powerful models.

The fact that Apollo’s concerns mirrored Anthropic’s internal red-teaming suggests that current testing methods are at least identifying red flags. But it also suggests that rapid capability gains are outpacing the industry’s ability to manage them.

Competitors like OpenAI, Google DeepMind, and Meta may now face pressure to release more detailed alignment assessments of their own models. Similar concerns about deceptive behaviour have been raised in relation to OpenAI’s GPT-4 and early versions of its unreleased successors.

In fact, Apollo’s report pointed out that Claude Opus 4 was not alone in its tendencies. Strategic deception, it warned, is a growing risk across multiple frontier models, not just one company’s product.

A Turning Point for Trust and Transparency?

While Anthropic ultimately went ahead with the launch, the decision to publish both the internal and third-party findings marks a rare moment of transparency in a fiercely competitive sector. It also underlines just how fine the line is between powerful and dangerous when it comes to next-gen AI.

For now, Claude Opus 4 is live, commercially available, and (based on extensive testing) behaves safely in ordinary contexts. However, the story of how close it came to not being released at all is a timely reminder that as these systems grow more capable, their inner workings may grow harder to trust.

What Does This Mean For Your Business?

As Anthropic’s Claude Opus 4 enters the market with both impressive capabilities and a controversial backstory, it leaves business users, regulators, and AI developers in an awkward but important position. The benefits of deploying such advanced models are becoming more compelling, particularly in industries that rely on automation, technical support, data analysis, and coding. However, it seems that these very use cases are often the ones that expose models to the most complex and high-stakes instructions, where subtle misalignment or misunderstood prompts could lead to unintended consequences.

For UK businesses, especially those in regulated sectors like finance, law, healthcare, and critical infrastructure, this creates a dilemma. On the one hand, models like Claude Opus 4 promise faster turnarounds, greater insight, and scalable automation. On the other, the level of agency shown during testing suggests that without the right safeguards, even well-intentioned use could drift into risky territory, particularly if system access or sensitive data is involved. Firms adopting Claude Opus 4 will, therefore, need to apply a higher degree of scrutiny, define operational boundaries more tightly, and ensure that staff understand how to interact with these systems responsibly.

From a policy perspective, this episode may accelerate calls for clearer AI standards and third-party auditing requirements, not just in the US but across the UK and Europe. It’s likely that businesses seeking to deploy frontier AI models will face more pressure to prove not only how they intend to use them, but also how they intend to manage them when something goes wrong. That includes documenting use cases, implementing fallback mechanisms, and monitoring outputs in real time.

For Anthropic, the decision to move ahead with launch while openly disclosing safety concerns may ultimately prove to be a reputational risk worth taking. It sends a signal that even when things get uncomfortable, transparency and collaboration remain on the table. However, the margin for error is narrowing fast. As competitors race to deliver even more capable models, the question isn’t just who can build the smartest system – it’s who can build the one that businesses and the public can genuinely trust.

There are concerns that a new government bill designed to tackle benefit fraud could subject millions of claimants to routine bank surveillance, even when there’s no suspicion of wrongdoing.

What Is the Fraud Bill?

Earlier this month, MPs passed the Public Authorities (Fraud, Error and Recovery) Bill, a piece of legislation aimed at cracking down on fraud within the UK’s benefits system. Ministers say the bill is part of “the biggest crackdown on fraud against the public purse in a generation,” with the Department for Work and Pensions (DWP) set to receive significantly expanded powers.

On the surface, the rationale is clear, i.e. official figures show that in 2022–23, fraud and error across the welfare system cost the government approximately £8.3 billion. The bill is, therefore, intended to help claw some of that money back.

However, critics say the proposals go far beyond tackling professional fraudsters. Instead, they warn the measures will open the door to mass digital surveillance of people on Universal Credit, Pension Credit, and Employment and Support Allowance, regardless of whether they’ve done anything wrong.

What the New Powers Actually Involve

At the centre of the bill is a new Eligibility Verification Measure (EVM), which would allow the DWP to compel banks to monitor claimants’ accounts for signals of fraud or error. While the government currently has powers to request financial information in specific cases where fraud is suspected, this new measure removes that requirement altogether.

This essentially means that banks would be legally required to check accounts for as-yet unspecified “indicators” of ineligibility. Any account that meets the trigger criteria would then be flagged and passed to the DWP for further investigation.

Presumption of Guilt?

Under the new bill, these checks could happen without a claimant’s knowledge, and there’s no obligation to inform individuals if or when they’re being monitored, raising fears about a “presumption of guilt” model baked into the benefits system.

Seize Funds or Revoke Driving Licence

It should be noted that the bill doesn’t stop at data gathering. For example, if the DWP believes someone has been overpaid, i.e. due to either fraud or administrative error, it could apply to seize funds from their account or even revoke a driving licence. In such cases, the bank would be prohibited from informing the customer, who might only realise what’s happened after seeing funds disappear from their balance.

Concerns Over Privacy and Human Rights

Civil liberties groups including Big Brother Watch, Justice, and the Public Law Project have voiced deep concerns about the scope and implications of the bill. In a statement, Big Brother Watch warned that it could “create a two-tier system where benefit claimants are treated as second-class citizens under constant surveillance.”

Baroness Finn echoed these concerns during a House of Lords debate, noting: “Support for the goal must not mean silence about the means.”

Some experts say that removing the “reasonable suspicion” threshold from the process represents a major shift in how personal data can be accessed by public authorities and that it also undermines one of the most fundamental principles of British justice i.e. the presumption of innocence.

“Why should someone on benefits have fewer rights to privacy than anyone else?” asked Labour MP Neil Duncan-Jordan in a recent article (published in The Guardian). “These new powers strip those who receive state support of a fundamental principle of British law.”

Disproportionate Impact on the Most Vulnerable?

Perhaps the most troubling aspect of the legislation for many is who it affects, and how. For example, around 10 million people receive one of the means-tested benefits targeted by the new powers. That includes disabled people, unpaid carers, single parents, pensioners, and others already struggling to get by. Campaigners fear that sweeping surveillance powers will add another layer of stress and complexity to the lives of people least equipped to deal with it.

As Duncan-Jordan, (Labour) MP for Poole, notes: “It is the very poorest—disabled people, carers, pensioners—who will effectively have fewer rights to privacy than everyone else.”

Mistakes

It’s worth noting here that mistakes are actually very common in the benefits system. For example, 75 per cent of claims flagged as suspicious by existing DWP systems are found to have no fraud or error. It’s not surprising, therefore, that many critics argue that introducing automated, suspicionless checks on millions of people risks sweeping thousands into an investigative dragnet needlessly.

Also, when errors occur, the process for appeal can be overwhelming. People living with mental health issues or cognitive impairments may simply not be in a position to challenge wrongful investigations or enforcement actions. As Liberal Democrat MP Steve Darling put it: “The system needs a culture change—not suspicion and punishment.”

Warnings From the Finance Sector

The financial services industry has also raised red flags. According to industry representatives, the bill places banks in a difficult position, i.e. caught between government demands and their duties to protect customers.

There are concerns about how financial institutions will interpret and apply the eligibility criteria, especially when the government has yet to publish a code of practice explaining how the system will work in practice.

One key concern is the automated nature of the process. For example, because of the vast number of accounts involved, banks will almost certainly rely on algorithms to detect potential breaches. However, the DWP’s existing fraud detection algorithms have already been shown to generate bias. Expanding such automation without clear safeguards risks creating what critics have described as “a Horizon-style scandal on a massive scale.”

What Happens When Safeguards Are Removed?

The bill’s critics also warn that it cannot be viewed in isolation. Running parallel through Parliament is the proposed Data Use and Access Bill, which would reduce the legal requirement for human oversight in automated decisions across government.

Critics say that together, these bills could pave the way for widespread, fully automated decision-making in matters that affect people’s livelihoods, privacy, and mobility.

The worry is that together, these bills could pave the way for a future in which life-altering decisions, such as whether to stop someone’s benefits or seize money from their account, are made entirely by algorithms. In such a system, individuals may have no right to know they’re being monitored and no clear route to challenge errors when they occur. Legal experts warn this undermines due process and risks creating an unaccountable surveillance regime driven by automation rather than justice.

Not Just Benefits?

Also, another worry is that the changes may not stop with benefits. For example, although the current bill excludes the State Pension from the EVM powers, legal analysts warn that future governments could extend similar surveillance powers to other groups, citing efficiency and fraud prevention as justification.

Balancing Fraud Prevention With Fairness

Work and pensions minister Andrew Western has defended the proposals, stating: “We are supporting those who need the social security safety net, not the fraudsters who pick holes in it.”

He emphasised that flagged accounts will trigger further investigation, not automatic penalties, and that no action will be taken without assessing whether a payment was incorrect and why. The DWP maintains that the measures are targeted and necessary.

However, even the Department’s own impact assessment suggests the new powers will recover just 2 per cent of fraud and error overpayments over 10 years. Many have questioned whether such a small gain justifies the level of intrusion proposed.

What About Everyone Else?

The implications of the Fraud Bill extend beyond benefit claimants. For banks, it means managing the tension between data protection and state surveillance. For businesses and third-party organisations, especially those working with vulnerable groups, it raises serious questions about trust, data-sharing, and legal compliance.

Also, for society as a whole, it prompts a deeper question, i.e. when does the fight against fraud become something else entirely? As Duncan-Jordan warned: “The welfare state should be there for everyone—but this approach undermines public trust in the system.”

The government insists the bill targets only those abusing the system, but critics say the net is cast so wide that, for millions of ordinary claimants, it will feel more like being treated as guilty until proven innocent.

What Does This Mean For Your Business?

At its core, the Fraud Bill appears to highlight a long-standing tension in policymaking, i.e. how to prevent abuse of public funds without eroding civil liberties in the process. While no one disputes the need to address organised benefit fraud, the concern is that the government’s response appears to conflate fraud with error, and risk with suspicion, thereby sweeping millions of people into a system of opaque surveillance without adequate safeguards or oversight.

It seems that the scale and nature of the new powers show a change in the government’s posture, from supporting claimants to suspecting them. This could have chilling effects not just for individuals navigating the benefits system, but for wider society’s view of the welfare state. If receiving state support means accepting constant monitoring and the loss of privacy rights, people in need may simply disengage altogether.

This presents real risks for frontline organisations and service providers too. For example, many third-sector and community-based organisations work closely with vulnerable individuals who already struggle with trust in institutions. The introduction of automated surveillance and data-driven enforcement may make it even harder for these groups to encourage engagement, access to services, or financial recovery.

It should be noted that UK businesses and financial institutions also face new responsibilities under the legislation. Banks will be placed in the awkward position of acting as both service providers and surveillance agents, potentially undermining their relationships with vulnerable customers. At the same time, any organisation involved in benefit administration, payments, or support services will need to reassess how they manage data, consent, and client care, particularly in light of future changes that may reduce human oversight even further.

Looking ahead, the precedent set by this bill could shape future government policy in ways that reach well beyond welfare. For example, if mass algorithmic surveillance becomes normalised in one part of the public sector, it’s not difficult to imagine it extending to others. Today’s welfare recipients could be tomorrow’s test case for broader systems of state monitoring, from tax compliance to immigration and healthcare.

The question may not be just whether the government can claw back a fraction of fraudulent payments, but whether it can do so without compromising the values of fairness, proportionality, and due process that underpin a healthy democracy. For now, many remain unconvinced.

Google is retiring all country-specific search domains, meaning users who try to visit sites like google.co.uk will soon be automatically redirected to google.com instead.

Unified Search Experience

Google is ending its long-running use of country-specific domain names like google.co.uk, redirecting all users to a single global homepage, i.e. google.com. The change, already rolling out, marks a decisive step in Google’s ongoing shift towards a unified, location-aware search experience that doesn’t rely on domain suffixes to deliver local content.

Why Is Google Making This Change Now?

Although announced back in April 2025, Google first restructured its approach to localised results much further back in 2017. At that time, the company moved away from delivering search results based on which domain you typed (such as google.co.uk or google.com.au) and instead began using the physical location of a user to determine what they saw.

Google explained this at the time by noting that “one in five searches is location-related,” suggesting that using a device’s GPS or IP address was a more accurate way to serve local content than relying on top-level domains.

Fast-forward to now, and Google believes its localisation technology has advanced far enough to render ccTLDs (country code top-level domains) obsolete. That includes not just .co.uk for the UK, but also .com.br for Brazil, .co.in for India, .fr for France, and so on.

In a statement issued on 15 April 2025, Google said: “Because of this improvement, country-level domains are no longer necessary. We’ll begin redirecting traffic from these ccTLDs to google.com to streamline people’s experience on Search.”

What Exactly Will Happen, and When?

Google says it’s rolling out the change gradually “over the coming months.” Users who continue typing local addresses like google.co.uk into their browser will automatically be redirected to google.com instead.

What’s important to note is that this redirection is cosmetic and, as such, it won’t alter the substance of search results. Google is keen to reassure users that location-based relevance will still be maintained, saying: “This update will change what people see in their browser address bar, but it won’t affect the way Search works.”

It should be noted, however, that in some cases, users may be asked to log back into their Google account or re-enter search preferences such as language, region, or safe search filters. These prompts are part of the transition and are expected to be minimal.

What About Businesses and Search Professionals?

While most casual users may hardly notice the difference, the change is likely to have more significant implications for businesses, advertisers, and SEO professionals.

For years, digital marketers and local businesses relied on country-specific domains as a signal for local intent. Seeing .co.uk in the address bar reassured UK users they were getting localised content. With that visual cue gone, it seems that businesses may need to work harder to communicate relevance to their audience.

Some SEO consultants have already raised concerns, that ccTLDs have long played a psychological role in establishing trust and a sense of local identity and that removing them could take away a small but meaningful visual cue that helps users quickly judge whether a result is relevant to their region.

On the technical side, it’s more of a mixed bag. For example, consolidating everything under google.com may mean less domain fragmentation and a cleaner search experience, but some businesses fear they’ll have less control over regional visibility.

That said, Google’s localisation signals are now based on far more than just the domain name. For example, language, browser settings, search history, and even device-level data play a role. From a technical standpoint, this change may encourage businesses to invest more in structured data, content localisation, and region-specific marketing rather than relying on domain-level cues.

Will It Save Google Money?

Although cost-cutting wasn’t mentioned in Google’s official statement, it’s difficult to ignore the potential operational efficiencies behind this move.

It’s likely that maintaining dozens of ccTLDs, each with separate infrastructure, legal requirements, and occasional localised content, is expensive. As Google streamlines its services across all its products, it’s plausible this change is part of a broader effort to reduce complexity and overheads.

Keeping a multitude of domains also introduces additional security considerations and potential legal complications in different jurisdictions. Consolidating to google.com, therefore, offers a more scalable, consistent platform from both a technical and administrative point of view.

A Brief History of ccTLDs on Google

Google’s use of country-specific domains stretches back to its early international expansion in the early 2000s. Back then, separate ccTLDs made sense as they helped users access locally relevant content and gave governments and regulators some measure of oversight.

In fact, ccTLDs were once a key part of Google’s global strategy. For example, there was google.ca for Canada, google.co.jp for Japan, google.co.za for South Africa (the list goes on). For over a decade, typing a country-specific address was the main way users navigated to “their version” of Google.

However, by 2017, the writing was already on the wall. As mobile use exploded and GPS-based location detection improved, ccTLDs became more of a legacy feature than a critical component of localisation. By delivering results based on physical location rather than the domain used, Google effectively decoupled the URL from the search experience.

As Google put it back then: “Typing the relevant ccTLD in your browser will no longer bring you to the various country services—this preference should be managed directly in settings.”

Now, eight years later, Google’s retiring those domains for good.

How Can Users Still Control Their Search Experience?

With the ccTLD route disappearing, users who want to customise their search region still have some options. For example, Google recommends visiting the settings on google.com, then selecting ‘Settings’ (bottom-right corner), ‘Search settings’, and then ‘Language and region’.

From there, users can select their ‘Results Region’ and confirm their preferences. It’s not quite as effortless as typing .co.uk into the address bar, but it gives users some control nonetheless. It’s worth noting that this could also become a more critical step for people who travel frequently or use VPNs, where physical location and desired results don’t always align.

What Does This Mean For Your Business?

Google’s move to retire country-specific domains marks the end of an era, but not necessarily a dramatic shift in day-to-day use. For the vast majority of users, the redirection to google.com will be seamless, with local results continuing to surface just as they did before. In that sense, the change is largely symbolic: a visible reminder of how far the technology has come since the days when a .co.uk domain was essential for getting UK-relevant content.

Even so, the impact will be felt in some corners. For businesses and SEO professionals who have built strategies around ccTLDs, there’s now a need to refocus efforts. Visibility in local search will depend less on the domain in the address bar and more on how well a business optimises its content for a specific region using technical signals and structured data. That may be more work in the short term, but it could ultimately lead to a more level playing field, particularly for smaller businesses that don’t operate country-specific sites but still want to compete in local markets.

For UK businesses in particular, there’s a communications challenge. Losing the .co.uk cue means finding other ways to demonstrate relevance and trust to a local audience. Whether through clear regional language, local contact details, or targeted content, companies will need to be intentional about showing that they’re rooted in the UK market. It may also prompt more attention to things like Google Business Profiles, location-based advertising, and hyperlocal content strategies.

For Google, this is as much about simplification as it is about modernisation. By consolidating its domains, the company reduces redundancy, eases infrastructure demands, and likely saves money, all while continuing to meet legal obligations in different countries. It also fits neatly with Google’s wider goal of delivering a consistent user experience across its ecosystem, from Search to Maps to AI-powered features.

Ultimately, this change reflects how the web, and the way we use it, has evolved. Search is no longer bound by the old rules of geography and domain suffixes. It’s now driven by data, context, and personalisation. This means that while the disappearance of google.co.uk from the browser bar may feel like a nostalgic loss for some, the mechanics of search will continue to evolve around us, often invisibly, and usually with far-reaching implications.

A rise in parking scams is catching out UK drivers, with criminals using fake fines, phishing texts and QR codes to steal money and personal data.

Cyber security experts report that scammers are leaving fake tickets on windscreens with QR codes linking to fraudulent payment sites. Others are sending texts claiming a fine is owed, often using real location data and links to gov.uk pages to appear legitimate. Victims who pay are unknowingly handing over their personal or financial details.

Bitdefender has identified six of the most common scams — fake windscreen tickets, bogus parking attendants, fake QR codes, phishing texts, fake emails, and fraudulent apps. In some cases, scammers have even posed as attendants in uniform, directing drivers to unauthorised spaces before vanishing with their cash.

The National Cyber Security Centre advises the public to avoid clicking on links in unexpected messages and to check all URLs carefully. Legitimate parking services will not request payment by SMS or through unverified apps. Tools like Scamio can help verify QR codes or suspicious links before any action is taken.

These scams rely on creating a false sense of urgency and trust, making them particularly effective in busy areas such as city centres or event venues.

For businesses, this trend highlights the need to keep employees informed about evolving threats. Promoting secure payment practices, encouraging the use of official apps, and protecting all work devices from phishing and malware can help reduce the risk.

A Ukrainian company is reimagining urban waste by transforming fallen leaves into eco-friendly pulp and packaging paper, thereby cutting carbon, saving water, and leaving forests untouched.

Growing Without Cutting Down Trees

Releaf Paper, based in Kyiv, Ukraine, is exploring an alternative approach to sustainable packaging by turning urban leaf litter into recyclable paper products.

Launched only a few years ago, the startup has gained attention across Europe for its circular economy model, which centres on using fallen leaves (typically seen as municipal waste) as a raw material. A pilot production line is already operating near Paris, and further expansion plans are in progress.

The concept is relatively straightforward, i.e. leaves gathered from streets and parks are cleaned, dried, and processed into pulp. That pulp is then used to produce kraft-style paper, which has been adopted by several major brands, including Chanel, Samsung, and Uber Eats.

Why?

Traditional paper manufacturing is resource-intensive. For example, virgin kraft paper (paper made from freshly harvested wood pulp) typically has a carbon footprint of around 1,500 kg CO₂e per tonne. Even recycled paper clocks in at 1,300 kg CO₂e per tonne, depending on the energy mix used.

By contrast, Releaf Paper says its product emits just 303.77 kg CO₂e per tonne, which is four to five times less than its conventional competitors. It should be noted that this figure has been independently verified by ClimatePartner.

It seems also that the savings in Releaf’s manufacturing process don’t stop at emissions. For example:

– Water usage. Just 0.002 litres per kilogram of paper, compared to thousands of litres in traditional processes.

– Transport emissions. Leaves are collected from within 20km of production sites.

– Decomposition rate. Releaf paper biodegrades in 30–55 days—much faster than standard paper, which can take up to 270 days.

“By transforming fallen leaves into pulp, we’re proving that sustainable materials can be locally sourced, high-quality, and scalable,” says CEO Alexander Sobolenko. “This isn’t just a packaging solution—it’s a shift in mindset.”

How It Works

The process begins with green waste that would normally be burned or landfilled. Leaves are collected from urban areas by public utility services, then cleaned and dried. Releaf then uses its proprietary combination of mechanical and thermo-chemical methods to convert this biomass into paper-grade pulp.

This pulp is then blended with recycled fibres (usually around a 40:60 mix) to create the final product, which is ‘Releaf Natural Kraft’. This is a durable, recyclable paper used in everything from retail bags and ecommerce mailers to wrapping paper and corrugated boxes.

Expansion On The Cards

The current production facility in Zmiiiv, Ukraine, can handle up to 3,000 tonnes per year, but it looks as though expansion is firmly on the cards. A €3.5 million EU-backed pilot line in Les Mureaux, just outside Paris, opened in late 2024, and Releaf also plans to raise €8 million in Series A funding this year to expand its footprint across Europe and into North America and Asia.

Why It’s Proving Popular

According to Releaf, it’s not just the environmental numbers that are getting attention. In an era where consumers increasingly demand sustainability (and are willing to pay for it), Releaf Paper is able to help brands make good on their green promises. For example, according to data from the company:

– 82 per cent of consumers are now willing to pay more for sustainable packaging.

– Among Gen-Z, that figure rises to 90 per cent.

– 71 per cent of all consumers say they’ve chosen a product based on its sustainability credentials in the last six months.

It seems that from luxury retailers like Chanel to tech brands like Logitech, companies are turning to Releaf to help meet both regulatory and reputational pressures.

In France, for example, Uber Eats recently partnered with Releaf to deploy nearly 100,000 biodegradable bags across select restaurants in Paris, helping to reduce single-use plastic waste in food delivery.

“For us, this is more than just sustainable packaging—it’s about helping businesses shift their entire mindset towards the circular economy,” explains Valentyn Frechka, Releaf’s 23-year-old Head of Technology and the inventor behind the leaf-to-paper process.

The Changing Paper Industry

Releaf’s rise also shines a light on a sector undergoing major transformation. For example, the global green packaging market is projected to grow at 6.1 per cent CAGR from 2020 to 2028, fuelled by both consumer pressure and legislative crackdowns on plastics and unsustainable materials.

Other Companies Making Similar Products

It should be noted here that other companies are also starting to explore similar bio-based materials. For example, in India, Craste is making packaging from agricultural waste like wheat and rice straw. In the US, Sway has created seaweed-based plastic alternatives, and Notpla is producing biodegradable packaging from seaweed and plants. Also, Green Banana Paper in the Pacific Islands is turning discarded banana stems into paper products.

However, Releaf appears to be the only player working at scale with urban foliage. It seems that their approach has the advantage of being able to uniquely intersect municipal waste management, carbon reduction, and packaging innovation, all while tapping into a free, abundant, and renewable feedstock.

Still Some Challenges

Despite its success to date, Releaf’s business model is not without potential limitations. For example, some of its key challenges include:

– Supply chain variability. Fallen leaves are seasonal, and their availability varies by climate and geography. To ensure consistent production, Releaf must build a robust storage and logistics infrastructure, something that can be expensive and operationally complex.

– Scaling up. While the company’s innovation centre in France is promising, widespread adoption will require building multiple decentralised facilities close to raw material sources. That means further investment, local partnerships, and navigating regulatory frameworks in different markets.

– Public perception. While the idea of paper made from leaves sounds appealing, some buyers may question its durability or suitability for certain applications compared to traditional materials.

However, Releaf’s early customer list, which includes Chanel, Schneider Electric, BNP Paribas and LVMH, suggests those concerns can be overcome, especially with clear data and product performance guarantees.

What Does This Mean For Your Organisation?

Releaf Paper’s approach may not yet be mainstream, but it appears to offer a compelling glimpse into what the future of packaging could look like. By turning a common urban waste product into a viable raw material, the company is challenging assumptions about where value can be found, and how sustainable innovation can be embedded into everyday supply chains. For a sector long associated with high resource use and deforestation, it introduces a practical alternative that doesn’t rely on virgin materials, heavy water usage, or long transport routes.

For UK businesses, particularly those in retail, ecommerce, or food delivery, the model could offer a timely opportunity. With mounting pressure from customers, investors, and regulators to reduce environmental impact, adopting packaging solutions like Releaf’s could help demonstrate real progress toward net-zero goals. The fact that the paper can be used across multiple formats, from retail bags to corrugated boxes, also makes it commercially adaptable. If UK import partners or local versions of this technology emerge, the shorter supply chain distances could amplify its appeal.

That said, this is still an emerging solution. The long-term scalability of leaf-based pulp remains to be proven, particularly in regions with less consistent leaf collection systems or more limited municipal infrastructure. Also, while early adopters are finding success with the material, broader uptake may depend on further evidence of performance, durability, and cost competitiveness over time.

Even so, it seems that Releaf Paper has changed the conversation to one that invites competitors, cities, and entire industries to reconsider what we throw away and what we could be putting to better use. If paper doesn’t have to come from trees, and if waste can become a resource, then the packaging industry may be on the cusp of something genuinely transformative. Whether Releaf leads that charge, or whether others follow with similar ideas, the direction of travel is becoming clearer. Urban waste may no longer be seen simply as a problem to manage, but as part of the solution.

Microsoft’s CoPilot now allows you to generate audio overviews of documents on the fly, all within your Microsoft account – great for those occasions where it’s more practical (or more preferable) to listen and learn rather than read and learn.

[Note – To Watch This Video without glitches/interruptions, It may be best to download it first]

Worried that a call from your bank might be a scam? Hang up and call 159, the UK-wide number that connects you safely and directly to your bank, without needing to look up phone numbers or risk calling a fraudster.

How to:

– Dial 159 from your mobile or landline.

– When prompted, say the name of your bank.

– You’ll be transferred to your bank’s official number (no searching required).

What it’s for:

If you ever get a call from someone claiming to be your bank and they ask for personal or financial info, end the call and dial 159. It’s the simplest way to check if it’s real and speak to the real fraud team if it isn’t.

Pro-Tip: Use 159 even if the call seems genuine. Scammers often spoof official numbers, but 159 always connects you to the real bank, safely.

OpenAI has unveiled a research preview of Codex, a cloud-based AI coding agent designed to act as a virtual teammate for software developers.

OpenAI’s Latest Bet on the Future of Coding

OpenAI says Codex is its most advanced AI-powered software engineering agent to date. Codex has been designed to integrate directly into ChatGPT in order to assist with software development tasks ranging from writing features to fixing bugs. Available to Pro, Team, and Enterprise subscribers, and with support for Plus and Edu users expected in the near future.

AI Powered Tools Market

It’s worth noting here that Codex isn’t just another chatbot extension, but actually operates as a virtual, cloud-based coding assistant that can handle multiple tasks in parallel, provide verifiable output logs, and work with live codebases, all within a secure sandboxed environment. As such, it represents a clear move by OpenAI to secure a larger stake in the fast-expanding market for AI-powered developer tools.

So, What Is Codex, And What It’s For?

Codex is powered by codex-1, a specially trained variant of OpenAI’s o3 model, optimised for software engineering through reinforcement learning on real-world development tasks. OpenAI says this model is designed to produce cleaner, more human-readable code than its predecessors, and it can iteratively run and verify its own output using tests, linters, and other standard developer tools.

Once a user connects Codex to their GitHub repository, the agent loads the relevant files into a cloud sandbox and starts work. Users can assign coding tasks by typing a natural language prompt and clicking “Code”, or ask Codex questions about their codebase with the “Ask” function. Each job runs in an isolated environment, mimicking the structure and configuration of the user’s real-world dev setup.

Codex can:

– Write new features or functions

– Refactor and rename code

– Fix bugs and debug issues

– Answer questions about unfamiliar code

– Draft documentation and pull requests

– Run and verify tests.

Fast

Task completion using Codex typically takes between 1 and 30 minutes depending on complexity, and users can monitor progress and review results in real time. Once a job is done, Codex provides traceable logs of its actions and suggested changes, helping ensure transparency and accountability.

Safety

According to OpenAI Product Lead Alexander Embiricos, “a lot of the safety work from our o3 model carries over to Codex,” including the ability to reliably refuse malicious requests, such as writing malware, and restrict access to external APIs or the wider internet. This means Codex cannot be used to covertly access or manipulate live systems, though it also limits its utility for tasks requiring broader connectivity.

Who’s It For?

Right now, Codex is being rolled out to ChatGPT Pro, Enterprise, and Team subscribers worldwide. OpenAI says “generous access” will be granted initially, but usage will soon be capped by rate limits, with additional credits available for purchase. Plus and Edu users are next in line.

Tested Last Month

This preview follows months of behind-the-scenes work with early access testers. For example, companies such as Cisco, Temporal, Superhuman, and autonomous driving firm Kodiak have been helping OpenAI refine Codex in real-world settings. The use cases vary, but recurring themes include:

– Speeding up test coverage

– Automating background development tasks

– Enabling non-engineers to contribute lightweight code

– Improving developer focus and reducing context switching.

How Are The Testers Using It?

To give an idea of its real-world applications in some of these big-name tester companies, at Superhuman, Codex now helps product managers draft minor code changes without interrupting engineering teams. Also, at Kodiak (a company developing autonomous driving technology), it’s used to enhance test coverage and refactor key components in their autonomous driving stack. Also, at Temporal, which builds workflow tools for distributed applications, it supports debugging and iterative feature development.

A Follow-Up to Codex CLI

This latest launch builds on the release of Codex CLI last month, a lightweight, open-source command-line tool that lets developers interact with AI agents directly from their terminals. Codex CLI now defaults to codex-mini-latest, a variant of the o4-mini model optimised for low-latency editing and Q&A.

To streamline access, OpenAI has simplified authentication, i.e. users can now sign in via their ChatGPT accounts and instantly access API credits ($5 for Plus users, $50 for Pro) for a limited time. Pricing for codex-mini-latest is $1.50 per million input tokens and $6 per million output tokens, with a 75 per cent discount via prompt caching.

Broader Ambition

These updates appear to point to a broader vision, whereby OpenAI wants Codex to be more than just a helpful assistant, i.e. it wants Codex to function more like a trusted teammate. As Josh Tobin, OpenAI’s Agents Research Lead says – the goal is for Codex to eventually complete tasks autonomously that “take human engineers hours or even days”.

Riding the AI Coding Boom

This preview version is clearly a high-profile launch that OpenAI hopes will position it against growing rivals in the AI coding space, including Google, Microsoft, Anthropic, and a host of rapidly scaling startups. Also, more than that, it provides a glimpse into what the company sees as the future of human-AI collaboration in software engineering.

It should also be noted that the timing of Codex’s release is no accident. AI coding tools, sometimes dubbed “vibe coders”, have exploded in popularity in recent months. For example, both Google and Microsoft claim AI now contributes to around 30 per cent of their internal code output. Startups like Cursor have reached $300 million in annualised revenue and are being valued as high as $9 billion.

Meanwhile, OpenAI itself has reportedly just finalised a $3 billion deal to acquire Windsurf, the developer behind another major AI coding tool. Taken together, these moves appear to show the company is serious about expanding beyond its flagship chatbot and into the broader ecosystem of developer tools, including video generation (via Sora), research agents, and web automation.

Codex could, therefore, be a big part of that strategy. As AI capabilities advance, OpenAI seems to be envisioning a future where developers assign well-scoped tasks to multiple AI agents in parallel, review their work asynchronously, and move faster across every stage of the development lifecycle.

Challenges, Criticisms, and What Comes Next

Despite the buzz, Codex (like other AI coding agents) isn’t without its flaws. For example, a recent Microsoft study showed that even top-tier models such as Claude 3.7 Sonnet and o3-mini struggled to reliably debug software in complex environments. Codex’s own documentation notes that users must still manually review agent-generated code before integration or deployment.

Some developers have also expressed concern over workflow disruption. For example, delegating tasks to a remote agent adds latency compared to interactive editing, and current limitations, like the lack of image inputs for frontend work or the inability to mid-course correct an agent, may frustrate more advanced users.

There’s also the question of safety. While Codex runs in a secure, air-gapped environment and is trained to refuse malicious instructions, OpenAI acknowledges that balancing security with legitimate use cases (e.g. kernel-level programming) remains a work in progress.

Looking ahead, OpenAI says future versions of Codex will include more interactive features, deeper integration with developer tools (including CI systems and issue trackers), and even proactive collaboration capabilities, allowing agents to check in during a task and adapt based on new feedback. Also, if this research preview gains traction, it may change how businesses, from startups to enterprises, approach software development altogether.

What Does This Mean For Your Business?

Rather than offering a single-use tool or a generic assistant, OpenAI is positioning Codex as a foundational part of the software engineer’s toolkit, i.e. a collaborator that can work independently on defined tasks while staying closely aligned with human expectations and workflows. That positioning reflects OpenAI’s wider ambition to normalise multi-agent workflows and move towards asynchronous, AI-assisted development at scale.

For developers, especially those in high-pressure or fast-moving teams, Codex could help relieve the burden of repetitive or time-consuming tasks (refactoring code, writing tests, or updating documentation) freeing up more time for problem solving and creative development. At the same time, its ability to surface context, suggest improvements, and operate in secure containers could make it a valuable tool for navigating legacy codebases or tackling long-standing bugs. It may not be perfect, and as the documentation itself makes clear, human review is still essential, but the potential for improved focus and faster delivery could be really significant.

Businesses in particular may find this especially useful. For example, with ongoing skills shortages in the tech sector and continued demand for digital transformation, tools like Codex could help firms deliver projects faster without always needing to expand headcount. Small to medium-sized development teams, or organisations experimenting with agile methods, could see real benefits from delegating well-scoped tasks to Codex agents, either to accelerate delivery or free up senior engineers for more strategic work.

That said, the impact won’t be uniform. The very structure of Codex, i.e. running in isolated environments, without full real-time interactivity, means it will likely feel more useful for certain kinds of backend or infrastructure work than for frontend or UI-heavy tasks. Also, while Codex shows promising alignment with coding conventions and project practices, it’s still early days. Safety limitations, execution speed, and the need for well-prepared environments may restrict broader uptake until future iterations smooth out those rough edges.

For OpenAI, however, Codex is far more than a productivity tool. It’s a strategic move that places the company in direct competition with Microsoft’s GitHub Copilot, Google’s Gemini Code Assist, and Anthropic’s Claude Code. But unlike some of those offerings, Codex is being pitched not just as an assistant but as a long-term platform for agentic coding, one that could underpin an entire ecosystem of developer interactions, APIs, integrations, and workflows.

If early results hold up, Codex may well represent the next step in how code gets written, i.e. not just faster, but differently. By giving developers the tools to delegate, collaborate, and iterate with AI in the loop, OpenAI is betting on a future where productivity and creativity are amplified by intelligent software agents. And that’s a future which many UK businesses, whether they’re building the next app or maintaining critical infrastructure, may soon be part of.

If you’ve ever wondered whether Microsoft Teams or Zoom is the smarter choice for meetings, messaging, and collaboration at work, you’re not alone – and in this guide, we’ll clearly explain how they compare so you can choose the right platform for your business needs.

Why These Two Platforms Are Always Compared

Teams and Zoom dominate the workplace communication market for good reason. They both offer video conferencing, chat, screen sharing, and integrations with third-party tools – and both saw explosive growth during the remote work boom. However, beneath the surface, their purpose, strengths, and day-to-day feel are quite different. Microsoft Teams is built for structured collaboration. It works seamlessly with Microsoft 365 and offers persistent chat, file sharing, and integrated tools for planning, automation, and documentation. Zoom, meanwhile, built its reputation on simplicity and video quality. It remains a favourite for meetings and webinars – especially with external audiences or users who don’t need the full Microsoft stack.

What Is Microsoft Teams?

Microsoft Teams is a unified communication and collaboration platform that’s tightly integrated with Microsoft 365. It offers real-time chat, voice and video calls, file sharing, and direct access to Office apps like Word, Excel, and PowerPoint. Teams is often used for: • Daily team chat and project channels • Scheduled and ad hoc meetings • Collaborative editing of Office documents • Structured access to files, wikis, and task management • Integration with tools like SharePoint, Planner, Power BI, and third-party apps Microsoft Teams has steadily evolved since its 2017 launch and now includes Copilot AI features, webinar functionality, and even frontline workforce tools.

What Is Zoom?

Zoom is a video-first communication platform best known for its high-quality meetings and ease of use. While it now offers team chat, phone, and whiteboard features, its core strength remains virtual meetings and webinars. Zoom is commonly used for: • External meetings and sales calls • Training sessions and large webinars • Virtual events with breakout rooms • One-to-one or small group video calls • Quick, link-based meeting access with minimal setup In recent updates, Zoom has added more advanced tools like Zoom Whiteboard, Zoom Phone, and a new AI Companion for meeting summaries and smart responses.

How Do They Compare on Key Features?

Here’s how Microsoft Teams and Zoom stack up across the features that matter most to businesses:

Meetings and Video Quality • Zoom consistently delivers excellent video and audio quality, even on weak connections. Its intuitive controls and meeting layouts make it a favourite for video-first teams. • Teams meetings integrate seamlessly into calendars and chats, and have improved video quality significantly. But some users still find Zoom quicker and simpler for spontaneous calls.

Chat and Messaging

• Teams offers persistent, threaded conversations with clear channels, tagging, and integration with tasks and files. It’s a true digital workspace. • Zoom’s chat is functional but less structured. It works well for simple direct messages or meeting follow-ups, but lacks the project-orientated features Teams excels at.

Webinars and Large Meetings • Zoom leads here. It allows up to 1,000 participants in standard meetings and up to 50,000 with webinar add-ons. It also includes advanced registration, polling, and Q&A tools. • Teams offers webinars too (up to 1,000 participants), but they require more setup and are less intuitive for external users. Third-Party Integrations • Teams integrates deeply with Microsoft 365, as well as tools like Trello, Salesforce, Adobe Sign, and hundreds more via its app store. • Zoom also supports wide integrations – including Slack, HubSpot, and Google Workspace – but it’s more focused on video features than full business workflows. Ease of Use • Zoom’s interface is famously easy. Users can join meetings with one click and no learning curve. • Teams takes longer to get used to. It’s powerful, but some users find it cluttered or hard to navigate at first. Feature Comparison at a Glance If you’re weighing up which platform to use, this side-by-side feature summary gives a clear snapshot of how Microsoft Teams and Zoom stack up across the areas that matter most.

Feature / Area Microsoft Teams Zoom Chat &Messaging Team collaboration & integrated workflows Hi-quality video conferencing/ webinars Video Meetings Persistent, threaded chat with channels and tabs Basic messaging with limited structure Webinars & Events Good quality, integrated with calendar and chat Excellent quality, fast and simple to join Ease of Use Supported, but less intuitive Advanced webinar tools and large audience support Office Integration Powerful but steeper learning curve Very user-friendly and intuitive Third-Party Integrations Seamless with Microsoft 365 (Word, Excel, Outlook, etc.) Supports Office but no native integration Security & Compliance 1,000+ apps (Trello, Salesforce, Adobe Sign) 1,000+ apps (Slack, Google, HubSpot) Storage & File Sharing Enterprise-grade with advanced controls Good, but fewer built-in enterprise controls Breakout Rooms Full file management with version control Basic file sharing via chat or cloud links AI Features Microsoft Copilot for notes, summaries, scheduling Longstanding feature, easy to manage Zoom AI Companion for meeting summaries, responses Licensing Model Bundled in Microsoft 365 plans Modular with add-ons for webinars, phone, etc.

Security and Compliance Security has become a major differentiator – and both platforms have improved significantly. Microsoft Teams • End-to-end encryption for one-to-one calls • Data residency options and tenant controls • Compliance with GDPR, HIPAA, ISO/IEC 27001, and more • Conditional access, Microsoft Defender integration, and retention policies Zoom • End-to-end encryption for meetings (must be enabled) • Password protection, waiting rooms, and participant controls • SOC 2 and GDPR compliance • Some advanced controls only available on paid plans For regulated industries, Teams tends to offer more robust compliance options out of the box – especially for firms already using Microsoft 365.

Pricing and Plans Both platforms offer free and paid versions – but the value depends on what you already use. Microsoft Teams • Included in Microsoft 365 Business Basic (£4.90/user/month), Standard (£10.30), and Premium tiers • Free version available with limited features • Enterprise plans available with advanced analytics, security, and integrations • Great value for organisations already using Microsoft 365 Zoom • Free plan with 40-minute meeting limit for groups • Pro plan from £11.99/user/month, with options for Business (£15.99) and Enterprise tiers • Add-ons for webinars, phone, and extra storage • Good standalone choice for video-centric organisationsUse Cases – Which Tool Fits Which Scenario? Use Teams if: • Your organisation is already using Microsoft 365 • You need persistent chat, document sharing, and structured collaboration • Your workflows span multiple apps and departments • Compliance, security, and data residency are high priorities Use Zoom if: • You need an easy, reliable video meeting platform • You regularly host webinars, training, or external events • You need fast setup and minimal onboarding • You work with clients or guests outside your IT ecosystem

What Are the Limitations? No platform is perfect, and while both Microsoft Teams and Zoom offer plenty of value, each has its own set of limitations that could affect how well it fits your organisation’s needs. Understanding these potential drawbacks will help you make a more informed, realistic choice. Microsoft Teams Drawbacks • Can feel slow or cluttered, especially for new users • Some features hidden behind higher-tier licences • Webinar and event features less polished than Zoom Zoom Drawbacks • Limited collaboration tools beyond meetings • Free plan has strict time and feature limits • Requires add-ons for full functionality (e.g. Zoom Phone, Zoom Rooms)So, Which Should You Use? It really depends on what your teams need most. If you’re looking for a comprehensive, secure collaboration hub with deep Office integration, Teams is the clear winner. It’s ideal for long-term project work, internal communication, and enterprise compliance.

If your top priority is high-quality meetings, external events, or client-facing webinars, Zoom stands out for its simplicity and flexibility. It gets people into meetings fast, and it performs reliably every time. In fact, many businesses use both – Teams for day-to-day collaboration, Zoom for external meetings or events. That hybrid approach often delivers the best of both worlds.