Gmail users will now see AI-generated summary cards appear by default at the top of long emails, thanks to an automatic update to Google’s Gemini assistant.

Google Doubles Down on Inbox AI

Google has announced that as of 29 May 2025, its Gemini artificial intelligence (AI) assistant will automatically summarise long email threads in Gmail, without waiting for a prompt or tap from the user. The update, initially rolling out to mobile users on Android and iOS, is part of a move towards integrating AI more seamlessly (and visibly) into everyday productivity tools.

Until now, users could choose to trigger a summary by tapping a button labelled “Summarise this email.” However, with this change, Gemini summary cards will start appearing by default on eligible emails, unless the user has opted out of smart features or is in a region where they are disabled by default.

The move by Google could be seen as less of a visual tweak, and more of a subtle but significant change in the relationship between users, their inboxes, and Google’s AI.

What Is Gemini, and Why Does It Matter?

Gemini is Google’s suite of generative AI tools, positioned as a direct competitor to Microsoft Copilot and other AI assistants. It spans across multiple Google Workspace apps including Docs, Sheets, and Gmail, offering assistance with drafting content, summarising information, and generating replies.

Originally introduced under the “Duet AI” brand in 2023, Gemini was rebranded and expanded in early 2024 as part of Google’s wider AI push. Its integration into Gmail’s side panel was one of the first widely adopted use cases, giving users access to email-specific tools like drafting responses, summarising lengthy threads, and generating replies using natural language.

Up to now, Gemini’s role in Gmail has largely been opt-in, with users having to initiate actions themselves.

From Passive Tool to Active Assistant

With the new update, Gemini becomes more assertive. For example, long or complex emails, especially those that form part of back-and-forth threads, will now automatically display a summary card at the top of the message. The card outlines the key points of the conversation so far and will update dynamically as new replies come in.

Google says this move is intended to save users time and reduce email fatigue, a problem that has long plagued busy professionals. For example, according to a 2024 McKinsey report, workers still spend around 28 per cent of their workweek reading and responding to emails. Google is, therefore, betting that AI summaries can streamline this process, especially on mobile, where skimming a long message chain is often more tedious.

In an announcement on its Workspace Updates blog, Google said the feature “will synthesise all the key points from the email thread, and any replies thereafter will also be a part of the synopsis, keeping all summaries up to date.”

Who Gets It and When?

The feature began rolling out on 29 May 2025 to Rapid Release domains and is now gradually being deployed across Scheduled Release domains over a 15-day window. It’s available to the following Google Workspace editions:

– Business Starter, Standard, and Plus.

– Enterprise Starter, Standard, and Plus.

– Google One AI Premium.

– Gemini Business and Enterprise customers (existing add-ons).

– Gemini Education and Education Premium add-on users.

The feature is currently limited to English-language emails, and Google has not yet announced support for other languages.

Smart Features

Importantly, Gemini summary cards are only visible to users who have smart features and personalisation turned on in Gmail. These settings control whether Google can use AI to offer tailored features based on content in a user’s inbox.

In some regions, including the UK, EU, Switzerland, and Japan, smart features are turned off by default due to local data protection laws. Users in these areas would need to manually enable the feature in Gmail’s settings to start seeing the summary cards.

How to Opt Out or Take Back Control

For users who’d rather not have Gemini skimming their emails on their behalf, there are ways to disable the feature. For example, users can:

– Go to Gmail Settings > See all settings > Smart features and personalisation.

– Toggle off “Smart features” to prevent summary cards and other AI-based tools from appearing.

– Disable “Smart features in Gmail, Chat and Meet” for more comprehensive opt-out control.

Admins of Google Workspace domains can also manage these settings at a policy level from the Admin Console, giving organisations central control over the feature’s rollout.

It’s worth noting here that, even with the automatic summaries in place, the manual “Summarise this email” chip still remains, both at the top of eligible emails and in the Gemini side panel. This means that users who want to selectively invoke AI help can still do so.

Automation or Overreach?

While Google pitches the change as a productivity boost, not everyone is celebrating the move. For example, one key concern is accuracy. AI summaries, particularly those generated in real time from nuanced human conversations, are notoriously hit-and-miss. Even Google’s own AI Overviews in Search have come under fire for offering incorrect or misleading answers, as recently highlighted in a series of viral screenshots on social media.

Google’s not alone in being criticised for this. For example, it’s also been reported that Apple’s push-notification summaries, based on similar AI technology, repeatedly misinterpreted news headlines. Apple has since paused that feature for news apps, pending a fix.

It seems that a similar level of scepticism now surrounds Gmail’s automatic summaries. Critics argue that important context can easily be lost or misrepresented by an AI synopsis, especially in complex or emotionally nuanced threads.

As highlighted by Dr Jenna McCarthy, a digital communications researcher at the University of Manchester: “This kind of automation risks giving people a false sense of understanding,” adding that “Summaries might look slick, but in business or legal emails, the devil is often in the detail.”

It’s worth noting here that Google itself actually appears to acknowledge this limitation. For example, in its support documentation, the company stresses that the summaries are meant to complement human reading, not replace it.

Privacy and Trust Still Under Scrutiny

Alongside concerns about accuracy, privacy remains a hot topic. Although Google insists that all AI interactions respect user data protection rules and don’t expose personal content to human reviewers, the idea of automated scanning, even for benign purposes like summarising, may raise some eyebrows among privacy-conscious users.

Google directs users to its Privacy Hub for more information, but as with other AI features, transparency is key. Users are likely to expect more clarity around how data is used, stored, and processed when features like this are switched on by default.

Part of a Move Towards Embedded AI

Google’s update also reflects a broader industry direction, i.e. AI tools are increasingly moving from optional add-ons to proactive, built-in features. Rather than waiting for user prompts, systems like Gemini are starting to anticipate needs and take action automatically.

In Google’s case, the aim appears to be to create a more seamless experience across Workspace, where AI quietly handles repetitive or time-consuming tasks like summarising threads, without disrupting the user’s workflow. This aligns with recent updates across other Workspace apps, where Gemini is being positioned as a default productivity layer rather than a separate tool.

However, the effectiveness of this approach will depend heavily on how much trust users place in the AI’s accuracy and judgement—and how much control they feel they still have over their own inbox.

What Does This Mean For Your Business?

While the arrival of automatic Gemini summaries may seem like a small design tweak, the implications actually go much deeper. By removing the need for users to actively request a summary, Google is signalling a shift towards AI that no longer waits in the wings, but steps forward by default. For some, that may be welcome, especially for those managing high volumes of email who are eager to shave precious minutes off their working day. However, for others, the change may raise fresh concerns around trust, data processing, and the growing opacity of algorithmic decision-making in everyday tools.

For UK businesses, the move could offer real productivity gains, particularly in fast-paced environments where clarity and speed of communication are key. Admins can tailor how the feature is used across teams, allowing for top-down management of when and where AI steps in. But the benefits must be weighed carefully against the risks, especially when dealing with sensitive conversations, contractual details, or any context where nuance really matters. There is a clear responsibility on organisations to communicate how these features work, and to ensure staff feel confident in knowing when to rely on AI and when to override it.

It’s also likely to prompt fresh conversations among regulators, particularly in the UK and across Europe where smart features are already turned off by default. The tension between helpful automation and meaningful consent is growing sharper as more tools cross that line from optional to ambient. For users, the key will be staying informed, knowing not just what AI is doing, but how to retain agency and control in the process.

Ultimately, Gemini’s automatic summaries are part of a broader evolution in how AI is being woven into our daily workflows. The question now is not just whether the technology works, but whether people trust it enough to let it work for them.

Meta is stepping up its push into physical retail, open-source AI, and military-grade AR and VR technology, but each move is attracting scrutiny and raising new questions about ethics, transparency, and the company’s strategic direction.

Physical Stores Selling Smart Glasses

Meta is reportedly preparing to open a new wave of physical retail stores in a strategic bid to push sales of its Ray-Ban smart glasses and other wearable devices. The move (first revealed by Business Insider) signals a move from virtual ambitions into tangible retail expansion as the company looks to solidify its position in the emerging face-computing market.

It’s worth noting here that this won’t be Meta’s first foray into bricks-and-mortar. For example, the company launched its debut physical store in Burlingame, California in 2022, followed by a pop-up in Los Angeles. But this latest round of hiring and planning suggests a much broader rollout is on the cards.

The logic behind Meta’s planned move appears to be that smart glasses, especially those blending AR features with fashion, are inherently tactile. Trying them on in person can make or break a sale. It seems that although Meta reportedly sold over 1 million Ray-Ban Meta smart glasses in 2024 alone, CEO Mark Zuckerberg is said to have challenged staff to raise that figure to 5 million units, prompting the search for a more immersive retail strategy.

In-Store Demos

In-store demos will also likely help Meta showcase its Meta Quest VR headsets, especially as rivals like Apple raise the stakes with more premium offerings like the Vision Pro, priced at $3,499 but struggling to attract mass-market adoption.

By creating dedicated physical spaces, Meta seems to believe it could address two problems at once, i.e. differentiating its devices from commodity tech, and humanising a brand that’s often criticised for being too virtual and too data-hungry.

For business users, this matters. For example, the rise of face-worn computing is set to impact fields from healthcare to logistics. With AI-assisted smart glasses already capable of real-time transcription, photo capture, and even livestreaming, the line between personal wearables and professional tools is blurring fast.

However, it seems that retail has proven a tricky terrain for Big Tech. For example, Microsoft famously shuttered its 83 stores in 2020, and Amazon has scaled back its ambitions after mixed success with physical shops. Meta’s challenge, therefore, may be to offer something more experiential than transactional, and something that convinces users and developers alike that these devices are more than gadgets.

“Open Washing” Accusations Cloud Meta’s AI Open Source Push

At the same time that Meta is championing openness in AI, the company is facing renewed criticism for allegedly misrepresenting the nature of its flagship Llama models, with critics accusing it of “open washing.”

This latest controversy stems from Meta’s role in sponsoring a Linux Foundation research paper, The Economic and Workforce Impacts of Open Source AI, published in May. The report highlights the cost savings and innovation benefits of open source AI (OSAI), noting that 89 per cent of AI-adopting organisations use some form of open source infrastructure, and that open models are significantly cheaper to deploy than proprietary ones, findings that are hard to ignore for small businesses and tech start-ups.

Meta’s involvement in the report, however, has triggered backlash. For example, critics, including OpenUK CEO Amanda Brock, argue that Llama does not meet the widely accepted Open Source Definition (OSD), largely due to commercial use restrictions embedded in its licence.

“Llama isn’t ‘open source’, whatever definition you choose to use for open source,” Brock stated. “We rely on open source being usable by anyone for any purpose, and Llama is not.”

The nuance here is key. Meta’s Llama models (including Llama 2 and 3) are open access, meaning researchers and developers can use them freely in many cases. However, the restrictions on high-scale commercial use mean they fall short of being truly “open source” under OSI standards.

For Meta, the implications are twofold. First, its marketing message around openness risks losing credibility, especially as regulators in the EU and US begin using “open source” as a basis for liability exceptions in AI laws. Second, it could jeopardise Meta’s appeal to developers who value transparency, forkability, and independence from Big Tech.

The Linux Foundation report itself finds that open models are being adopted more heavily by small businesses than large enterprises, with smaller firms citing lower costs and greater flexibility as primary drivers. If Llama isn’t genuinely open, these businesses could end up relying on what they believe is community-driven infrastructure, only to face legal grey areas or cost barriers later.

While Meta has made real contributions to the open AI ecosystem, including the release of PyTorch and participation in Hugging Face, it’s likely that the wider industry is watching closely to see whether the company’s vision of openness is consistent, or just convenient.

From Metaverse to Military

In yet another Meta development, and this time one that caught many observers by surprise, Meta has signed a deal with Anduril Industries, a fast-growing US defence contractor, to build AR and VR devices for military use.

The irony hasn’t gone unnoticed. For example, Anduril’s founder, Palmer Luckey, was famously ousted from Meta’s predecessor, Facebook, back in 2017, reportedly over political donations and internal disagreements. Now, Luckey is working with his former employer on a project aimed at turning soldiers into what he describes as “technomancers.”

“I am glad to be working with Meta once again,” said Luckey in a statement. “The products we are building with Meta do just that.”

Battlefield-Ready Technology

According to Meta, the partnership will leverage its expertise in AI and extended reality (XR) to deliver battlefield-ready technology that enhances real-time situational awareness. The systems are expected to integrate with Anduril’s Lattice platform, a command-and-control interface powered by AI that overlays live battlefield intelligence into soldiers’ fields of view.

Could Actually Make Money

Meta’s AR and VR ambitions have so far been expensive and, arguably, unproven. Its Reality Labs division lost $4.2 billion in Q1 2025, part of a long-term investment strategy that has seen Meta burn through over $80 billion on immersive tech since acquiring Oculus in 2014. However, with the US military’s proposed $1 trillion budget, the defence market could finally offer a return.

Progress and Pitfalls

For business users and the wider XR market, the defence partnership signals both progress and potential pitfalls. For example, military involvement could fast-track innovation, enhance hardware capabilities, and make advanced technologies more accessible for commercial use. However, it also raises serious questions about Meta’s role in surveillance, data handling, and the broader ethical implications of merging consumer tech with military objectives.

Notably, Microsoft handed off its own US Army IVAS contract to Anduril earlier this year, having struggled to deliver effective headsets with its now-discontinued HoloLens. That leaves Meta and Anduril in what appears to be a strong position to lead the next wave of military-grade XR, and potentially commercial spin-offs.

What Does This Mean For Your Business?

Taken together, Meta’s latest moves suggest a company trying to reposition itself at the centre of three major battlegrounds: consumer hardware, AI ethics and extended reality. Each initiative carries its own rationale. Retail stores aim to offer hands-on experience, the push for AI openness suggests leadership in cost-efficient tools, and the defence partnership seeks a path to long-term commercial viability. However, the connections between these efforts reveal a deeper tension. Is Meta attempting to cater to every audience at once, or is it spreading its efforts too widely in a fast-changing technological landscape?

The physical retail expansion is perhaps the most straightforward. It gives Meta a tangible way to demonstrate products that have, until now, lived mostly in speculative hype cycles. Smart glasses, in particular, are on the verge of moving from novelty to utility, and a physical showroom model could help convert curiosity into confidence. For UK businesses operating in sectors like healthcare, manufacturing, logistics or retail, that’s potentially game-changing. If the technology works and is easy to trial and adopt, it could speed up the mainstreaming of AR in workplace settings.

However, it’s the open-source AI row that cuts to the heart of Meta’s credibility. The company is trying to paint itself as a champion of openness, cost savings, and accessibility, which is a narrative that appeals to developers and small firms alike, but the reality of Llama’s licensing restrictions muddies that message. If Meta is seen to be overstating its openness, or using community narratives to mask corporate control, it could backfire with the very audiences it’s hoping to win over. For UK tech start-ups and SMEs, who often rely on open source to compete with bigger players, the difference between “open” and “open enough” represents a business risk.

The Anduril partnership adds another layer of complexity. On paper, it could finally make Meta’s multibillion-dollar investment in XR technologies pay off. But aligning with military objectives also risks alienating consumers, employees, and partners who are wary of how immersive tech might be used in surveillance or combat. In a world increasingly conscious of tech’s societal impacts, even commercial buyers may start asking harder questions about the provenance and purpose of the tools they deploy.

From businesses and developers to policymakers, the message appears to be that Meta is doubling down on its hardware and AI bets. That said, how it navigates trust, ethics and transparency will shape not only its own future, but the broader acceptance of emerging tech across the board. What comes next may, therefore, depend less on product specs and more on public perception, legal scrutiny, and whether Meta can balance innovation with genuine accountability.

Thousands of Asus routers have been compromised in a silent, persistent attack that gives hackers remote access, even after firmware updates.

Cybersecurity firm GreyNoise uncovered the campaign, which targets internet-facing Asus models like the RT-AC3100 and RT-AX55. Attackers use brute-force logins or old vulnerabilities to gain admin access, then exploit a flaw (CVE-2023-39780) to enable hidden logging features and install a stealthy backdoor.

SSH access is then enabled through official settings, with an attacker-controlled key added. GreyNoise warns this “persists across firmware upgrades” and may be part of a long-term botnet operation, with over 4,800 affected devices already detected.

Businesses using Asus routers should check for SSH on port 53282, inspect authorised\_keys, and block known malicious IPs. If compromise is suspected, only a full factory reset can remove the backdoor.

A startup with roots in Denmark and Germany is now using ancient bacteria and Texan emissions to make low-carbon chemicals, thereby offering a novel alternative to fossil-fuel-based manufacturing.

A Biotech Startup With Climate Ambitions

Founded in 2021, ‘Again’ is the brainchild of Danish researchers and German entrepreneur Max Kufner. It positions itself as the world’s first scalable, carbon-negative chemical manufacturer, one aiming to overhaul how industrial chemicals are made.

How Again’s Process Works

Rather than capturing CO₂ just to store it underground (as with carbon capture and storage, or CCS), Again’s process feeds waste CO₂ straight into its custom-designed bioreactors. There, it’s fermented with hydrogen and processed by ancient, oxygen-hating bacteria, some of the oldest life forms on Earth. These hardy microbes, once dominant in Earth’s CO₂-rich primordial soup, now have a new purpose, i.e. transforming industrial emissions into chemicals like acetate, used in everything from paints and adhesives to cosmetics and plastics.

According to Again, this approach can reduce emissions associated with chemical production by up to 80 per cent, thereby making it a potential game-changer for one of the planet’s most polluting sectors.

Why Texas? Why Now?

Again’s new plant, dubbed TXS-1, is being built in Texas City which is an industrial hub on the Gulf Coast and home to major petrochemical facilities. The reasons why it’s such a strategic location for this purpose are :

– Abundant CO₂ supply. Again will capture waste CO₂ directly from a refinery on-site, avoiding costly transport emissions.

– Hydrogen availability. The region is rapidly scaling up hydrogen production, another essential input for Again’s process.

– Industrial partnerships. The facility is hosted at a site operated by Diamond Infrastructure Solutions, a joint venture between Dow and Macquarie Asset Management. Chemicals giant HELM AG is also on board to distribute Again’s products.

Ancient Bacteria Meet AI

At the heart of Again’s process is a mix of ancient biology and modern computation.

For example, the bacteria involved are strict anaerobes, organisms that evolved billions of years ago, long before oxygen was present in Earth’s atmosphere. Back in those early conditions, CO₂ dominated, and these microbes adapted to use it as a food source. Today, Again has harnessed these same organisms, placing them in oxygen-free bioreactors alongside green hydrogen. As they metabolise the mixture, they produce valuable chemicals like acetate, a key building block used across multiple industries.

The process has been optimised using AI-powered bioengineering and chemical modelling, allowing Again to tweak conditions for maximum output and efficiency. The company describes it as similar to brewing, only instead of beer, the end product is a clean, commercially viable chemical, ready for use in adhesives, textiles, paints or even packaging.

From Copenhagen to the Gulf Coast

Again’s journey started in Denmark. In 2023, the company launched its first operational pilot plant on the industrial outskirts of Copenhagen. That facility now captures up to one tonne of CO₂ per day and converts it into acetate using the same bacterial fermentation process.

That successful trial laid the groundwork for a rapid international expansion. Again has raised more than $150 million in funding to date, including a €39.4 million Series A round co-led by GV and HV Capital, and a €47 million grant from the EU’s Horizon Europe initiative. Alongside the new US site, the company is also building a second European facility in Norway as part of the PyroCO₂ project—a multi-partner initiative exploring large-scale carbon capture and utilisation.

The company says the US is an especially attractive market for its technology due to strong industrial demand, federal support for low-carbon manufacturing, and the sheer volume of CO₂ emissions in the petrochemical sector. TXS-1 will be co-located with existing industrial infrastructure, allowing Again to capture emissions directly at the source and avoid costly transport logistics.

Why Green Chemicals Matter

The global chemical industry contributes around 4 per cent of total greenhouse gas emissions which is twice the amount produced by aviation. However, unlike power generation or transport, where decarbonisation efforts are more mature, the chemical sector remains particularly tough to tackle. That’s because carbon isn’t just an energy source in this context but is a core ingredient.

Uses Captured CO₂

Traditional chemical production relies on fossil-based feedstocks such as oil, gas and coal. That means the process remains carbon-intensive, even if the energy powering the plants becomes renewable. Again’s approach flips this equation, i.e., using captured CO₂ as a feedstock turns waste into value, effectively recycling emissions back into the supply chain.

The resulting chemicals are functionally identical to their fossil-derived counterparts, meaning customers don’t need to compromise on performance to choose a lower-carbon option. Again’s scientific co-founder, Dr Torbjørn Jensen, is keen to point out that the potential climate benefits are substantial, saying: “We have the means to not only capture waste CO₂ but turn it into useful products to fully decarbonise the supply chain.”

No Premiums, No Excuses

Cost is another area where Again is clearly aiming to stand apart. For example, while many climate tech firms rely on subsidies or carbon credits to stay competitive, Again claims its green chemicals are price-aligned with fossil-based alternatives. That makes them a viable swap-in for major industrial buyers.

Also, because the company co-locates its facilities with industrial emitters, it avoids the need to build entirely new infrastructure or transport captured CO₂ across long distances. This keeps operational costs lower and simplifies logistics (both key concerns for heavy industry).

According to Again, its model not only reduces emissions but helps build supply chain resilience. By producing chemicals locally using waste inputs, companies can reduce their reliance on volatile global fossil markets and mitigate geopolitical risk.

A Growing Ecosystem of Carbon Utilisers

It’s worth noting here that Again isn’t the only player reimagining how carbon can be reused rather than emitted. Several other startups and innovators are working on similar problems, though often using very different technologies. These include, for example:

– LanzaTech, based in the US and New Zealand, uses microbial gas fermentation to turn industrial emissions into fuels, chemicals and even fabrics. Its tech is already operating at commercial scale in China and Belgium.

– Twelve, based in California, uses electrochemical reactors to transform captured CO₂ into syngas, plastics and even jet fuel. It has partnered with major brands like Mercedes-Benz and Shopify.

– Carbon Clean, headquartered in the UK, develops compact carbon capture systems designed for smaller industrial sites. Some of its partners are exploring reuse pathways for the captured emissions.

– Climeworks, based in Switzerland, focuses mainly on direct air capture and storage, but has also collaborated on utilisation pilots for synthetic fuels and fertilisers.

What makes Again’s model distinctive is its biological foundation and its emphasis on full commercial scalability. The company believes its AI-enhanced, plug-and-play bioreactors could be deployed in a wide range of industrial settings, bringing emissions down while making useful products at the same time.

Challenges and Open Questions

While the potential is clear, the path to industrial-scale success is far from straightforward. For example, some of the issues to be tackled include:

– Scaling up. Even with TXS-1 and other plants online, the amount of CO₂ processed will remain a fraction of global chemical-sector emissions. Expanding from thousands to millions of tonnes per year will require vast investment and infrastructure alignment.

– Hydrogen dependency. Again’s process depends on green hydrogen, which remains costly and in limited supply. If the hydrogen used isn’t produced from renewable sources, the overall emissions savings could be undermined.

– Regulatory support. The success of projects like Again’s often hinges on supportive climate policies, especially in high-emitting regions. Carbon pricing, clean energy incentives and emissions regulations will all play a role in shaping demand.

– Industry buy-in. Despite the environmental benefits, industrial clients will need assurance that the supply, quality and pricing of green chemicals can match fossil-based equivalents at scale. Long-term contracts and offtake agreements will be key to proving commercial viability.

Some critics may also question whether these technologies risk entrenching the petrochemical status quo, making it easier for fossil-heavy industries to continue operating, rather than shifting toward fundamentally different models of production and consumption.

For now, however, Again’s approach seems to offer something rarely seen in the climate tech space, i.e. a scalable, biologically driven process that recycles carbon, reduces emissions and produces critical products without asking customers to pay more or change how they operate. That may prove to be a winning formula in the urgent race to decarbonise industry.

What Does This Mean For Your Organisation?

What Again is building in Texas appears to reflect a growing confidence in the potential of carbon utilisation technologies to deliver real-world impact. By rethinking carbon not as waste, but as a resource, companies like Again are beginning to close the loop on emissions-heavy sectors that have traditionally been among the hardest to clean up. For the global petrochemicals industry, long viewed as a decarbonisation dead end, this marks a meaningful shift from theory to scalable practice.

For businesses, especially those in manufacturing, construction, and fast-moving consumer goods, the implications may be significant because the ability to source carbon-negative chemicals without a cost penalty is a powerful proposition. It suggests that environmental responsibility no longer has to come with financial compromise. In a world where supply chain resilience is under constant strain, Again’s co-located model also offers a localised, low-risk alternative to long-haul chemical imports. This could have strategic value not just in the US, but in Europe too.

UK businesses, in particular, may want to watch this space closely. For example, with increasing pressure from regulators, investors and customers to lower emissions, a viable route to greener inputs could open up new paths to compliance and competitive advantage. Although Again’s current facilities are outside the UK, its presence in Denmark and Norway, and the plug-and-play nature of its tech, means it could easily become part of Britain’s low-carbon supply chain in the near future, especially if domestic hydrogen capacity scales up.

At the same time, the challenges highlighted remain very real. Cost, scale, and energy inputs will all determine whether this approach can transition from promising to mainstream. That said, the early signs are encouraging. By blending millennia-old biology with modern science and smart commercial thinking, Again has shown what’s possible when sustainability is treated not as a side project but as a core business model. Whether it succeeds or not, it’s helping to rewrite the rulebook on what a cleaner, circular industrial future could look like.

Microsoft’s CoPilot is the gift that keeps on giving! This week we show how they’re added a new Notepad feature which means you can control your outputs plus keep everything together easier than ever before.

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

Finding search results cluttered with AI-generated summaries? You can cut through the noise and get more classic search results by using a few clever tweaks.

How to:

– In Google Search, add -ai (with the dash) to your search query to help remove AI-driven summaries and related content.
– Want older, pre-AI content? Add before:2023 to your query to limit results to pages published before that year.

Example searches:

‘how to create a secure password -ai’
‘best historical architecture books -ai before:2023’

Pro-Tip: These filters are especially useful when researching technical topics or looking for trusted, older sources that aren’t mixed with newer AI-generated content. Quick, effective, and ideal for cutting through clutter.