'Just looping you in': Why letting AI write emails may create more work

'Just looping you in': Why letting AI write emails may create more work


I hope this article finds you well.


Did that make you cringe, ever so slightly? In the decades since the very first email was sent in 1971, the technology has become the quiet infrastructure of white-collar work.


Email came with the promise of efficiency, clarity and less friction in organisational communication. Instead, for many, it has morphed into something else: always there, near impossible to escape and sometimes simply overwhelming.


Right now, something is shifting again. The rise of generative artificial intelligence (AI) technologies, such as ChatGPT and Microsoft Copilot, is increasingly allowing people to offload the repetitive routines of tending one’s inbox – drafting, summarising and replying.

 


My colleagues in the ARC Centre of Excellence for Automated Decision Making & Society found 45.6% of Australians have recently used a generative AI tool, 82.6% of those using it for text generation. A healthy chunk of that use likely includes email.


So, what happens if we end up fully automating one of the staples of the white-collar daily grind? Will AI technologies reduce some of the friction, or generate new forms of it? Dare I ask – are we actually about to get more email?


 


Why the printer isn’t dead yet


Soon after the advent of email, some voices in the business world heralded the coming end of paper use in the office. That didn’t happen. If you work in an office today, there’s a good chance you still have a printer.


In their 2001 book, The Myth of the Paperless Office, Abigail Sellen and Richard Harper show how digital tools rarely eliminate older forms of work. Instead, they reshape them.


Sellen and Harper show how paper use didn’t disappear with the rise of email and other digital communication tools; in many cases, it intensified. The takeaway isn’t that offices failed to modernise, but rather that work reorganised around what these new tools could do.


In this case, paper persisted not only out of habit, but because of what it affords: it is easy to annotate, spread out, carry and view at a glance. This was all too clunky (or impossible) to perform via the digital alternatives.


At the same time, email and digitisation dramatically lowered the cost of producing and distributing communication. It was far easier to send more messages, to more people, more often. 


Circling back to today


Will AI be different? If early signs are anything to go by, the answer is: not in the way we might hope.


Like earlier waves of workplace technology, AI is less likely to replace existing communication practices than to intensify them – but at least it might come with better grammar and a suspiciously upbeat tone.


Some new AI tools offer to manage your inbox entirely, feeding into broader privacy concerns about the technology.


At this moment, what a lot of these products seem to offer is not an escape from email, but a smoothing of its rough edges. Workers are using AI to soften otherwise blunt requests, modify their tone or expand what might otherwise be considered too brief a response.


Rather than removing the need to communicate, these tools offer pathways to make a delicate performance easier.


What email is actually for


Email, like many forms of communication, is as much about maintaining everyday relationships as it is about the transfer of information.


At work, it’s often about signalling competence, responsiveness, collegiality and authority. “Just looping someone in” or “circling back” are all part of our absurd office vocabulary, a shared dialect that helps us navigate hierarchy, soften demands and keep things moving – all without saying what we really think.


If AI lowers the effort required to produce these signals, it won’t necessarily reduce their importance, but it could unsettle things in rather odd ways.


If more people use AI to draft emails they don’t particularly want to write, we end up with a game of bureaucratic “mime”: everyone performing sincerity and quietly outsourcing it, and no one entirely sure how much of their inbox was actually written by a human.


The labour of email was never just about crafting sentences. It’s always been the scanning, the sorting and the deciding. AI doesn’t remove this burden. If anything, it amplifies it.


When everything arrives polished, everything looks important. That points to a deeper question for the future of work: if AI can perform responsiveness, why are we generating so many situations that still require it? 
Looking forward


What would a workplace look like if email wasn’t the default solution to every coordination problem? Perhaps fewer performative check-ins, “just touching base”, “looping you in” or “following up on the below”. More clearer expectations about what actually requires a response, and what doesn’t.


Email, like paper, is likely to persist for good reasons. It is simple, flexible and universal. It allows things to be deferred, revisited, forwarded and quietly ignored.


But if AI is going to change any of this, my hope is that it makes visible how much of this is ritual, how much is habit, and how much has long been unnecessary.


And if the machines are happy to keep saying “hope this finds you well” to each other, we might finally have permission to stop.



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Cars with Google built-in get Gemini for natural interactions, car control

Cars with Google built-in get Gemini for natural interactions, car control


Google is bringing its Gemini AI assistant to cars with Google built-in, replacing Google Assistant. According to the company’s blog, the update will make in-car interactions more natural and intuitive, allowing drivers to speak freely, get real-time information, and control vehicle functions more conveniently. The rollout will begin in the US with English support, with expansion to more regions planned over time.


Gemini AI to cars: Details


More natural conversations while driving

 


According to Google, Gemini allows users to speak in a more conversational way instead of using fixed voice commands. Drivers can ask for things like nearby restaurants, traffic updates, or directions, and even follow up with additional questions without restarting the request. The assistant also integrates with apps like Google Maps and music services, helping users find places, check road conditions, or play specific types of music without needing exact commands.

 
 


Messaging, navigation and entertainment

 


Google said that Gemini can summarise incoming messages and help users reply with context while driving. It also provides real-time updates about routes, traffic, and nearby events. For entertainment, users can request music based on mood or preferences, even without knowing the exact song or station names.

 


Learning and brainstorming

 

According to Google, Gemini on cars also supports Gemini Live interactions (in beta), which allow more open-ended conversations. Users can ask about destinations, learn facts, or even plan activities during their trip. This feature is designed to make the assistant more interactive, letting users interrupt or expand on responses during conversations. 

 


Vehicle controls and car-specific info

 


As per the company, Gemini is integrated with vehicle systems, allowing users to control settings using natural language. For example, drivers can adjust temperature or defrost settings by simply describing how they feel. The assistant can also answer vehicle-specific questions using information from the car’s owner’s manual. In electric vehicles, it can provide battery status updates and suggest nearby charging stations.


Availability

 


According to Google, Gemini will be available through a software update on both new and existing cars with Google built-in. Users can access it using voice commands, the touchscreen, or steering wheel controls. The company noted that support for more languages, countries, and app integrations like Gmail and Calendar will be added in the future.

 



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Galaxy Buds4 Pro review: High-quality earbuds that favour Samsung devices

Galaxy Buds4 Pro review: High-quality earbuds that favour Samsung devices



Premium wireless earbuds have reached a point where most of them get the basics right. You expect good sound, reliable connectivity, and a familiar set of features like active noise cancelling (ANC) and transparency mode. The Samsung Galaxy Buds 4 Pro follow that same approach, but its ecosystem features are what make them standout.

 


I have been using the Galaxy Buds 4 Pro alongside the Galaxy S26 Ultra, Galaxy Book6 Pro, as well as the Google Pixel 10a, to see what the experience is like across devices. Here is what I found:


Design and comfort

Samsung sticks with a stem-style design here. The finish is clean and minimal, with subtle metallic accents that make the earbuds feel a bit more refined without trying too hard.

 
 


The charging case continues with a compact form factor and a transparent lid, which gives it a slightly distinctive look while still keeping things practical. It’s small enough to carry around easily, whether in a pocket or a bag.

 


Comfort is one of the stronger aspects here. The earbuds are lightweight and sit securely in the ear, making them easy to use for long listening sessions. I didn’t face any major issues with fit during everyday use, though like most in-ear designs, the seal can vary depending on ear shape. The good thing is that you do get multiple ear tip sizes in the box.

 


The Samsung Galaxy Buds 4 Pro also get an IP57 rating, which adds better protection against dust and water. That makes them more reliable for workouts or outdoor use without worrying too much about durability.

 


Controls are handled through a combination of squeeze and swipe gestures on the stem. They work well once you get used to them, though there is a slight learning curve initially.


Sound quality and audio performance


Sound quality is easily the strongest aspect of the Galaxy Buds 4 Pro. Samsung uses a dual-driver setup here, combining an 11mm woofer with a dedicated tweeter, which results in a sound that feels full and layered.

 


The tuning leans slightly towards a bass-forward profile rather than a strictly neutral one. That said, the bass is deep and punchy, adding weight to tracks without overpowering the rest of the mix. At the same time, vocals come through cleanly, and instruments feel well separated, which helps in tracks with multiple layers. There’s also a noticeable sense of space in the soundstage, making the listening experience feel more immersive.

 


High frequencies are crisp, though they can occasionally feel a bit sharp depending on the track. The midrange is balanced, but not overly forward, which means vocals don’t dominate the mix but still remain clear.


Audio features and noise control


Samsung has included a wide range of audio features, and most of them add practical value rather than feeling like checkboxes.

 


Active Noise Cancellation works well for everyday use. It effectively reduces consistent background noise like fans, traffic, or air conditioning, making it easier to focus on music or calls. However, it’s not the strongest in the segment—sudden or higher-pitched sounds can still come through.


Ambient mode feels natural enough for staying aware of your surroundings, though it doesn’t fully match something like the Google Pixel Buds Pro 2, which still feels more natural in comparison.

 


There’s also adaptive noise control, which switches between ANC and ambient modes automatically. It works reasonably well in predictable scenarios, but can feel slightly inconsistent when the environment changes quickly.

 


Features like 360 Audio with head tracking are also present, adding a sense of spatial depth for supported content. While head tracking isn’t as precise as what you get on premium headphones, it still does a solid job compared to most wireless earbuds in this category.

 


The equaliser is fairly basic, but it’s easy to use and tweak, even for casual listeners.

 


There are also a few additional features that didn’t come into play often during my use, but could be useful in specific scenarios. These include Loudness normalisation, Super Wideband speech for calls, and a gaming mode for lower latency.


Samsung ecosystem features


The Galaxy Buds 4 Pro are clearly designed with Samsung users in mind. Pairing with a Galaxy smartphone is quick and seamless. Opening the case brings up an instant connection prompt, and once paired, switching between compatible Samsung devices feels smooth and reliable.

 


There are also several ecosystem-specific features that enhance usability. You can access controls directly through system settings, use features like 360 Audio, and take advantage of tools like Live Translate on devices like the Galaxy S-series flagships.


One feature that stood out in daily use is head gesture controls. Being able to nod to accept calls or shake your head to reject them adds a layer of convenience, especially when your hands are occupied.

 


Most of these features are tied to Samsung devices, so it should be noted that if you’re using another Android phone, the experience becomes more limited, and some of the standout features are no longer available.


Connectivity and codecs


The Galaxy Buds 4 Pro support Bluetooth 6.1, which enables Bluetooth LE Audio. The buds use the LC3 codec when audio is transmitted over LE Audio, though availability may vary depending on the paired device.

 


Apart from LC3 support, other supported codecs include SBC, AAC, and Samsung’s Seamless Codec (SSC). The SSC enables high-resolution audio playback up to 24-bit/96kHz, but only when paired with compatible Galaxy devices.

 


In regular use, connectivity remains stable with minimal dropouts, and pairing is quick.

 


However, the lack of Bluetooth multipoint is noticeable. While Samsung offers Auto Switch between its own devices, you can’t seamlessly connect to multiple devices across different platforms at the same time, which limits flexibility.


Call quality


The earbuds use a multi-microphone setup with AI-based noise reduction, and in real-world use, voices come through clearly even in moderately noisy environments. Background noise is handled well without making voices sound overly processed, which makes these suitable for both casual calls and work meetings.


Battery and charging


Battery life on the Galaxy Buds 4 Pro is good, but not class-leading. You get around six hours of playback with active noise cancellation enabled, and up to seven hours with ANC turned off. With the charging case, total usage extends to roughly 26–30 hours, depending on how you use them.

 


In day-to-day use, this translates to dependable battery life that can comfortably last through commutes, work sessions, and travel.


Verdict


The Samsung Galaxy Buds 4 Pro deliver a refined and well-rounded experience, especially when it comes to sound quality and everyday usability. The audio performance is engaging, the feature set is comprehensive, and the overall experience feels polished.

 


However, the full value of these earbuds depends heavily on being part of Samsung’s ecosystem. Many of the standout features, including high-resolution audio and seamless connectivity, are tied to Galaxy devices.

 


If you are already using a Samsung smartphone, the Galaxy Buds 4 Pro make a strong case as a complete and convenient pair of premium earbuds. But if you’re not, they still perform well, but they just don’t feel as fully realised.



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Google is now open to exploring inclusion of ads in Gemini app: Report

Google is now open to exploring inclusion of ads in Gemini app: Report


Google may be preparing to introduce ads into its Gemini AI app, marking a potential shift from its current ad-free experience. According to a report by Android Headlines, the company is exploring ways to monetise the chatbot, with a senior executive indicating during the latest earnings call that advertising is now being actively considered. The move, if implemented, would align closely with OpenAI’s recent move to test ads for ChatGPT Free and Go plan users.


Ads could come to Gemini as Google explores monetisation


As per the report, while speaking during the Q1 2026 earnings call, Google’s Chief Business Officer Philipp Schindler said the company is open-minded about exploring the possibility of ads inside the Gemini app. The comment marks a shift from the company’s statement in December last year.

 
 


In December 2025, Vice President of Global Ads at Google, Dan Taylor, while commenting on a report stating that Google is exploring featuring ads within Gemini, said, “There are no ads in the Gemini app, and there are no current plans to change that.”


The report by Android Headlines added that Google is already experimenting with ad formats in AI Overviews and its AI Mode for Search. As per Schindler, if these formats prove to be effective and user-friendly, they could be extended to Gemini as well. He described such ads as helpful commercial information, rather than being purely disruptive.

 


While Gemini currently offers paid subscription tiers with additional features, the report suggests that these may not be sufficient to support the rising costs associated with AI development. Introducing ads could provide an additional revenue stream, which Google may use to scale its AI infrastructure and sustain further growth in the space. However, for users, it would mean that their ad-free Gemini app experience may require a higher-tier subscription.


OpenAI testing ads for Free and Go plan users


Earlier in February, OpenAI announced that it had started testing ads for ChatGPT users on its Free and Go plans in the US, while keeping higher-tier subscriptions such as Plus, Pro, Business, Enterprise, and Education ad-free. The company said ads are clearly marked as sponsored and kept visually separate from responses, adding that they do not influence the answers generated by ChatGPT. OpenAI said the move is aimed at keeping the service accessible to a wider audience with fewer usage restrictions.


According to the company, ads are selected based on the context of a user’s conversation, along with past interactions, to ensure relevance. For example, users looking up recipes may see ads related to food services. OpenAI added that users can disable ad personalisation and clear associated data at any time, reiterating that responses remain independent and focused on providing the most helpful information.



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Instagram to stop recommending repost-heavy accounts across the app: Report

Instagram to stop recommending repost-heavy accounts across the app: Report



Instagram has reportedly announced changes to reduce the reach of accounts that mainly repost content created by others. According to a report by TechCrunch, the platform will stop recommending such posts across the app, including in feeds and the Explore section.

 


The report, citing Instagram, said that the move is intended to prioritise original creators and ensure they get proper credit and visibility for their work. The company said that while similar rules were already in place for Reels, the update now extends to photos and carousel posts, which include multiple images or videos in a single post.


What the change means


According to Instagram, accounts that regularly share reposted content or rely heavily on other creators’ work will no longer be eligible for recommendations. This means their posts may still be visible to followers but are less likely to reach new audiences through discovery features.

 
 


As reported, the update mainly targets content aggregator accounts that re-upload posts without adding meaningful changes. The report noted that the step focuses on reducing duplicate content and encouraging more original uploads on the platform.


What counts as original content


According to the report citing Instagram, original content includes posts that a user has created themselves or content that reflects their unique perspective. This can include photos or videos shot by the user, or content that has been significantly edited to add value.

 


The company explained that using existing templates or clips is acceptable if users add something new, such as humour, commentary, or creative edits. For example, memes that build on existing content but include new context or ideas are still considered original.

 


What doesn’t qualify

 


Instagram reportedly said that low-effort edits, such as adding watermarks, slightly changing video speed, or reposting screenshots of others’ content with credit, will not be treated as original content. These types of posts will not be eligible for wider distribution.


Impact on users

 


According to Instagram, the change will not affect posts shown to users from accounts they already follow. However, repost-heavy accounts will see reduced visibility in recommendations, including the Explore tab and suggested content sections. The company reportedly stated that the update is part of its broader effort to improve content quality and ensure that original creators are rewarded with better reach and engagement.

 



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V2X explained: India aims to link cars, roads, pedestrians, and networks

V2X explained: India aims to link cars, roads, pedestrians, and networks



India’s telecom regulator has begun laying the groundwork for a new layer of connectivity between vehicles. In a consultation paper released on April 30, the Telecom Regulatory Authority of India outlined a regulatory framework for Vehicle-to-Everything (V2X) communication. It is essentially a system that allows vehicles to exchange real-time information with each other, infrastructure, pedestrians, and networks.

 


The move is still at a consultation stage, with stakeholder comments invited before any final decision is made. But the direction is clear. India is exploring how telecom networks, vehicles, and public infrastructure can be integrated into a single communication layer to improve safety, reduce congestion, and build what regulators describe as an Intelligent Transport System.

 
 


As per the government data, India recorded around 1.73 lakh road fatalities in 2023, with a large share of accidents linked to human error such delayed reactions, poor visibility, and misjudgment of distance. V2X is being positioned as a way to reduce that dependence on human decision-making.


What V2X actually does


At its core, V2X is an interconnected communication framework. It allows vehicles to continuously exchange data about their position, speed, surroundings, and intent. That information is not limited to other cars. It extends to traffic signals, roadside infrastructure, pedestrians carrying connected devices, and cloud-based systems.

 


The idea is to create what regulators describe as a “cooperative awareness” layer, where every element on the road is aware of what others are doing in real time.

 


This ecosystem operates across four key layers:


  • Vehicle-to-Vehicle (V2V): Cars communicate with each other to prevent collisions, share braking alerts, and detect blind spots.

  • Vehicle-to-Infrastructure (V2I): Vehicles interact with traffic lights, toll systems, and road sensors to optimise movement and avoid violations.

  • Vehicle-to-Pedestrian (V2P): Alerts are generated when vehicles detect nearby pedestrians or cyclists at risk.

  • Vehicle-to-Network (V2N): Vehicles connect to cloud systems over cellular networks for navigation, updates, and traffic intelligence.


Why telecom is central to the V2X system


Some modern cars already use cameras, radar, and LiDAR to interpret their surroundings to some extent, such as in case of parking assistance and proximity detection. But these systems are inherently limited by line-of-sight. They can only detect what is visible. V2X extends that visibility beyond physical constraints by establishing a communication channel between multiple elements on the road.


This is where telecom networks become critical. The technology is increasingly moving toward Cellular V2X (C-V2X) — a standard built on 4G and 5G infrastructure. Unlike older Wi-Fi-based systems such as Dedicated Short-Range Communications (DSRC), C-V2X enables connectivity through mobile networks.

 


Using cellular-based systems instead of short-range networks allows both direct communication between vehicles and broader network connectivity, along with lower latency and greater range.


How different countries are approaching V2X


While the core idea behind V2X is consistent, the way it is being implemented varies significantly across regions, shaped by a mix of regulatory choices, technology preferences, and industry alignment.

 


In Europe, the approach has been more fragmented. The region has largely relied on DSRC-based deployments, supported by existing infrastructure and large-scale programmes such as C-ROADS. At the same time, spectrum policy has remained technology-neutral, allowing both DSRC and cellular-based systems to coexist. In practice, however, this has created challenges around interoperability, with different technologies attempting to operate within the same spectrum band.

 


However, the inclusion of V2X in safety rating systems such as Euro NCAP is driving adoption across vehicles, as automakers increasingly integrate these capabilities to maintain high safety ratings.

 


China, in contrast, has taken a far more centralised and coordinated approach. The country has aligned early around Cellular V2X (C-V2X), backed by dedicated spectrum allocation and clear government direction. This has allowed the ecosystem to scale rapidly, with multiple automakers committing to mass deployment and integrating V2X into production vehicles.

 


The United States sits somewhere in between. The market has shifted away from legacy DSRC systems toward C-V2X, supported by spectrum allocation in the 5.9 GHz band and growing regulatory backing. At the same time, deployment has been more incremental, often driven by pilot projects and collaborations between automakers and infrastructure providers.


On the industry front, companies such as Ford, Audi, and several Chinese manufacturers have actively tested and begun deploying C-V2X-enabled vehicles, focusing on use cases such as traffic signal warnings, work-zone alerts, and collision avoidance.

 


Tesla, however, has taken a different approach. Instead of relying on direct vehicle-to-vehicle communication, it leans heavily on onboard sensors and cloud-based data from its fleet to build a shared understanding of road conditions. While Tesla’s long-term roadmap may include elements of vehicle-to-everything communication, its current systems operate largely independent of the standard V2X frameworks being developed by regulators.


How India is planning to approach V2X


Unlike markets that have already invested in legacy systems, India is starting with a relatively clean slate. This allows it to skip older technologies and move directly toward more advanced implementations.

 


The government has already indicated a preference for C-V2X as the national standard, aligning with global trends and leveraging existing telecom infrastructure. Spectrum planning is also taking shape. The proposal suggests using the 5.9 GHz band (5875–5925 MHz), with an initial allocation for deployment and additional capacity reserved for future use cases.

 


Early deployments are likely to focus on vehicle-to-vehicle communication, which requires minimal external infrastructure. This allows immediate safety applications such as collision warnings and emergency alerts.

 


More advanced use cases, such as interaction with traffic signals, pedestrian systems, and urban infrastructure, will depend on the gradual deployment of roadside units across cities and highways.

 

As per TRAI’s proposal, vehicle-installed units are expected to be licence-exempt, reducing friction for adoption. Roadside infrastructure, however, will require authorisation to ensure coordination and avoid interference. 


What happens next


For now, V2X in India remains a proposal. The consultation process will determine how spectrum is allocated, how infrastructure is deployed, and how different stakeholders, from telecom operators, automakers, to public agencies, fit into the ecosystem.

 


At the same time, the very fact that the proposal has moved to consultation suggests a shift in how the problem is being framed. The question is no longer whether vehicles should be connected, but how deeply that connectivity should be embedded into the system itself.

 


If implemented at scale, V2X could extend beyond safety into broader mobility functions — enabling more coordinated traffic movement across cities, real-time route optimisation, tighter integration with emergency services, and more efficient fleet and logistics operations. Over time, it could also lay part of the foundation for more advanced use cases, including autonomous driving systems. 



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