Quick Review

The Jabra Evolve3 75 is the rare business headset that earns a place in your personal life, too. This one ditches the fragile boom mic for a 6-microphone array and AI-powered ClearVoice processing. Jabra delivers call quality that borders on uncanny, which is the core reason why you plonk cash for this audio gear. It consistently isolates your voice through blaring shop music, wind, and machinery, with only the faintest background leak.

Tipping the scales at 180 grams, it’s lighter than its predecessor, folds nearly flat into a travel case, and swaps heat-trapping leatherette for breathable fabric that survives ten-hour call days. The drivers punch well above expectations, serving clean mids, crisp treble, and controlled bass that make it a legitimate everyday headset. Battery life is fantastic, running well over an average week’s worth of playback, and at least two whole days with noise-cancellation enabled. The headset also supports USB-C fast charging and Qi2 wireless charging.

It isn’t flawless, though. The on-ear design lets office chatter slip past the ANC, and I wish the ear pads were slightly bigger. The cramped physical controls are far too easy to misfire. Moreover, the bundled wireless charging stand is a fussy balancing act. But at $450, with user-replaceable parts and a five-year warranty, the Evolve3 75 is the new gold standard for anyone who wants a single headset for work, music, and everything in between.

Jabra Evolve3 75 specs: What’s hiding underneath the shell?

Product Model	Jabra Evolve3 75 UC Stereo with Wireless Charging Pad
SKU / UPC	37599-989-989 / 706487028413
Form Factor / Wearing Style	On-ear headband (Binaural stereo), boomless mic, arm-free design
Speaker Size	32 mm
Speaker Max Input Power	20 mW
Speaker Sensitivity	108.5 dB
Speaker Impedance	35 Ohm
Speaker Frequency Range (Music Mode)	20 Hz – 20,000 Hz
Speaker Frequency Range (Speak Mode)	100 Hz – 14,500 Hz
Audio Codecs Supported	LC3, AAC, SBC
Active Noise Cancellation (ANC)	Jabra Advanced ANC (Adaptive, real-time adjustments)
Microphone Type	6 Digital MEMS microphones
Microphone Frequency Range	10 Hz – 20,000 Hz
Microphone Sensitivity	-36 dBFS/Pa
Voice Isolation Technology	Jabra ClearVoice (AI-powered deep learning)
Hearing Protection Technology	PeakStop, IntelliTone, G616 compliant
Bluetooth Version	Bluetooth 5.3 Low Energy (LE Audio)
Bluetooth Profiles	A2DP v1.4, AVRCP v1.6, HSP v1.2, HFP v1.9, SPP v1.2, PBP v1.0, TMAP, Auracast
Wireless Operating Range	Up to 30 m / 100 ft
Bluetooth Multipoint	Yes (Connects up to 2 devices simultaneously; remembers up to 8 devices)
Fast Pairing Support	Microsoft Swift Pair, Google Fast Pair (Android only)
Included Bluetooth Adapter	Jabra Link 390a (USB-A variant)
Talk Time (ANC & Busylight Off)	Up to 22 hours
Talk Time (ANC & Busylight On)	Up to 18 hours
Music Playback Time (ANC Off)	Up to 110 hours
Music Playback Time (ANC On)	Up to 45 hours
Battery Type	Rechargeable Lithium-ion (User-replaceable)
Total Charging Time	Up to 180 minutes
Corded Charging Interface	USB-C (Supports simultaneous charge and use)
Wireless Charging	Yes (Qi2 compatible; Wireless Charging Pad included in box)
Rapid Charge Performance	5 minutes charge = 5 hours power / 10 minutes charge = up to 10 hours music
Battery Status Retention	Up to 50% after 30 mins charging; up to 80% after 60 mins charging
Smart Sensors	On-head detection (Auto-pause music, auto-mute/answer calls)
Integrated Indicators	360° Busylight (In-call LED visual status alert)
Controls & Buttons	ANC/HearThrough toggle, power/connection, voice assistant trigger, volume, track skip, play/pause, mute, call hook
Intelligent Voice Assistants	Siri, Google Assistant (AI-ready with 96%+ voice prompt accuracy)
Compatible Software & Apps	Jabra Plus Mobile/Desktop, Jabra Direct, Jabra Xpress
Platform Certifications	UC Certified, Zoom Certified, Google Meet/Voice Certified, Intel® vPro® Certified
Main Unit Dimensions (W x H x D)	187 mm x 70 mm x 151 mm (7.36 in x 2.76 in x 5.94 in)
Main Unit Weight	180 g (6.35 oz)
Materials Used	Dual-foam fabric ear cushions, color-matched fabric headband over ultra-soft foam, SUS metal headband, renewable PC+ABS, metal mono fork
Sustainability & Lifecycle	User-replaceable battery & ear cushions; constructed with recycled/biocircular materials
Operating Temperature	-10°C to 45°C (14°F to 113°F)
Storage Temperature	-10°C to 50°C (14°F to 122°F)
Box Contents	Jabra Evolve3 75 Headset, Jabra Link 390a Bluetooth Adapter, Wireless Charging Pad, Slim Travel Carry Case, USB-C to USB-C Cable (1.2 m), Warranty/Warning Leaflets
Manufacturer Warranty	2-year limited warranty

Jabra Evolve3 75 design and build quality: Stylish, with a side serving of hurt 

The Jabra Evolve3 75 looks and feels like a premium product the moment it leaves the box, leaning hard into a modern aesthetic with an extremely refined finish. Built from high-quality matte plastics and metals, it lands closer to sophisticated than strictly corporate. You can easily pass them off as music-centric headphones instead of something that belongs in a corporate cubicle. It comes in standard Black as well as a striking Beige. Overall, this Jabra headset are designed to disappear into the background whether you’re in a boardroom, a retail shop, or on a subway train.

One of the most welcome shifts from the previous Evolve2 75 is the change in materials. Jabra has wisely walked away from heat-trapping PU leatherette cushions in favor of a breathable, textured fabric. If you spend six to ten hours a day on calls, this is a genuine lifesaver. The fabric keeps your ears noticeably cooler through marathon sessions, even if it runs a touch warmer than some high-end consumer synthetic meshes.

The earcups themselves are soft and settle into a secure, comfortable fit without ever feeling restrictive. They are not too big, either. However, even for a person with smaller-than-average ears like me, I wish the earcups were slightly bigger to properly cover the ears. Depending on the person, there’s almost always a small bit of ear skin peeking from the sides. It doesn’t quite ruin the noise cancellation seal, but I would have liked slightly bigger cushion pads to get a reassuring passive isolation.

At just 180 grams (6.35 ounces), the Evolve3 75 is discernibly lighter than its predecessor, and the weight sits perfectly balanced across the thick, heavily padded headband. It feels almost weightless on your head. Since this is an on-ear design rather than over-ear, the earcups press directly against the cartilage of your ears. That keeps the profile low, but it can leave the backs of your helixes a little sore after five or six straight hours. It’s a familiar trade-off of any on-ear model, and there’s no escaping the hurt on the Jabra Evolve3 75, either.

Portability, though, is the standout aspect. The headset folds flat into an included hard travel case that’s pretty slim itself. You have to hold the thing to grasp how slim it is, as it slipped into my already overstuffed laptop bag without a fight. Jabra has leaned into sustainability and longevity, as well. To that end, the fabric ear cups and the internal battery are user-replaceable, which means this headset is built to survive years of daily abuse.

The physical controls, on the other hand, leave a lot to be desired. The right earcup crams in volume, playback, call controls, and a mute button, and these buttons are tiny, clustered too tightly, and far too easy to trigger by accident. Yes, a solid learning curve and plenty of muscle memory are needed, but that’s nothing insurmountable. I preferred to use the mobile app for most of the controls, either way. You’ll find yourself blasting music while simply repositioning the headset, or fumbling for the volume rocker while desperately trying not to hang up on an important call. The left earcup, home to power, ANC, and the charging port, is at least a little less crowded.

Score: 8/10

Jabra Evolve3 75 audio quality: Serves the purpose, and that’s all 

When you buy a headset built mainly for Microsoft Teams or Zoom, your hopes for music playback usually sit somewhere near the floor. Naturally, it came as a genuine surprise to me when the Jabra Evolve3 75 served up a well-rounded sound profile. It’s good enough to moonlight as your everyday pair of headphones, which is no mean feat for a decidedly business-first headset. Equipped with 32mm drivers with a 20Hz–20KHz frequency response, the audio profile comes through clean and textured.

When I fired up ICE by Morgenshtern, I expected a butchering. I was wrong. The screeching that kicks off the song somehow didn’t make my ears bleed, and the bass drop that immediately followed nudged me into a head-bopping session. The instruments are not crushed against the heavily auto-tuned vocals, and the soundstage is also adequately wide. Even EDM-leaning tracks such as Twin’s Uzi are a pleasing audio experience.

Unsurprisingly, if you prefer classical music where the vocals are the real star, this headset will do them justice. Barring a few tracks, my queue consisting of Jah Khalib, Nayyara Noor, and Siavash Ghomayshi was mostly a soothing experience. The headset handles the mid-range with sufficient clarity, letting vocals and busy instrumentals shine with brilliant separation.

Treble is bright, while the bass is controlled and present without getting too harsh or suppressed. Whether I fed it heavy rock or delicate acoustic tracks, the audio output was enjoyable, only thinning out a little on tracks built around aggressive sub-bass. Simply put, don’t expect delicate basslines to feed your soul. It won’t match the expansive soundstage of audiophile cans, but it’s fairly capable of handling your daily Spotify playlists or gaming sessions.

Active Noise Cancellation is good, though it’s ultimately held back by the headset’s design. As an on-ear type, it simply can’t seal your ear canal the way earbuds do, nor wrap your outer ear like an over-ear model. The Adaptive ANC does an admirable job of muting low-frequency hums, but sharper, high-frequency sounds like office chatter, ringing phones, and mechanical keyboard clatter will still leak through.

If you work in a loud, open-plan office and need total isolation, the passive sealing of an on-ear may not be enough. Connectivity is handled by Bluetooth 5.3, with support for AAC, LC3, and SBC codecs onboard. LC3 unlocks higher-quality playback on compatible Android devices, though the absence of high-res codecs like LDAC or aptX is a bit of a letdown at this price. Moroever, playback is strictly wireless, as there’s no 3.5mm wired option to fall back on.

Score: 8/10

Jabra Evolve3 75 call and mic quality: Terrific at the job

The crown jewel of the Jabra Evolve3 75 is its call and microphone performance. Ditching the boom mic was a massive gamble for a business headset, but I’m glad to report that Jabra’s six-mic digital MEMS array and AI-powered “ClearVoice” tech make the bet pay off brilliantly.

The ClearVoice AI engine was supposedly trained on more than 60 million real-world sentences to understand natural tone, inflection, and the way people actually speak. The payoff is a mic system that isolates your voice with startling accuracy while muzzling the sonic chaos around you. In demanding real-world settings, the result felt almost magical.

I could handle a conference call from a noisy cafe with music blaring, walking through city streets, or sitting near heavy machinery. For the most part, the mic isolates your voice flawlessly. The person on the other end was mostly treated to near-total silence when you’re not speaking, and only the faintest whisper of background noise when you are.

A few of my test subjects were surprised when I told them I was standing by the side of a busy road, while they didn’t hear any of the jarring horn-honking and engine rumbles of auto-rickshaws. Jabra claims 96% voice-capturing accuracy in any environment, and in testing, that figure feels about right.

There is one small caveat. Since the mics live on the earcups rather than an inch from your mouth, your voice can occasionally read a fraction quieter, distant, and a tad bit tinnier than it would through a traditional boom. It’s not jarring, but sharp ears can still notice the slight difference.

The headset also nails its sidetone function. Even with noise cancellation enabled, the mics naturally pipe your own voice back through the speakers so you can hear yourself, sparing your colleagues from being accidentally shouted at. It does a bit of amplification to the natural tone and timbre, but it won’t make you hate your vocal cords anytime soon.

Score: 9/10

Jabra Evolve3 75 app and features: Sufficient firepower on the desk

The Evolve3 75 is a productivity powerhouse with the companion app, loaded with features built for modern workflows. It plays nicely across Windows, macOS, Android, and iOS, and carries dedicated certifications for Zoom, Google Meet, and Microsoft Teams.

A key functional highlight is Bluetooth multipoint support. The headset natively pairs with two Bluetooth devices at once, and since it also ships with a pre-paired USB-C (or USB-A) dongle, you can technically juggle three active connections. It switched intelligently between my phone and laptop, letting me stream from my PC and seamlessly pick up an incoming call on the connected Samsung Galaxy S26 Ultra without having to fiddle with the settings menu.

For office workers, the built-in “busy light” is a brilliant touch. Two red LEDs on the earcups light up automatically the moment you’re on a call, flashing a clear signal to colleagues or family that you’re not to be disturbed. There’s also a dedicated Microsoft Teams version with a specific earcup button that launches Teams and drops you into meetings with a single press.

The mobile app is intuitive and robust, offering full control over the hardware. You can toggle ANC modes, dial in HearThrough transparency levels, set the exact volume of your sidetone, and tune a customizable five-band equalizer to taste.

Score: 9/10

Jabra Evolve3 75 battery life: Up to the task

Battery anxiety is essentially an afterthought on the Evolve3 75, even for a person who spends a healthy few hours each day on long calls. Jabra’s claims are staggering, and in practice the headset delivers fittingly high per-charge endurance.

For continuous music playback with ANC off, it’s rated for 110 hours, noise cancellation brings those numbers down to 45 hours, while the mileage for non-stop voice calls stands close to 22 hours of talk time. On a standard hybrid schedule divided across Microsoft Teams, Google Meet, and Zoom calls with background music and ANC enabled, the headset barely registers a dent over a two-day stretch.

When you finally do need to recharge, the fast-charging over USB-C is phenomenal. Five minutes on the wall buys you five hours of playback, and a ten-minute top-up nets ten hours of power. Better still, you can keep wearing and using the headset’s battery tank while it charges over the USB-C cable. In my most recent test session, they lasted three full days of busy work, which is not too shabby, considering I spent over four hours on online training sessions.

The Evolve3 75 is also Qi2 compatible, so you can drop it onto any standard wireless charging pad. Jabra bundles a wireless charging stand that latches onto the left earcup, but the design is finicky. The whole exercise of wireless charging demands a precise balancing act to line up the charging coil contacts, and the headset is prone to tipping if you so much as nudge it.

Score: 9/10

Should You Buy

The Jabra Evolve3 75 is an impressively competent, premium all-rounder that smudges the line between corporate hardware and consumer lifestyle audio. It’s not quite as rewarding as its more premium Evolve3 85 sibling, but that predominantly boils down to the latter’s more comfortable over-ear design.

Rocking a sticker price of $450, this one is undeniably expensive, priced above many elite gaming headsets and landing squarely in the audiophile territory. But the steep ask is justified by the sheer breadth of what it does. You’re paying for a highly portable, ultra-lightweight design, a phenomenal AI-powered boomless mic that suppresses background noise, terrific battery life, and solid all-around sound output. The peace of mind from user-replaceable parts and a five-year warranty stacks real long-term value on top.

The key drawbacks are the fiddly physical controls, a finicky wireless charging stand, and an ANC system that wobbles slightly against loud office chatter thanks to the on-ear design. If you’re a hybrid worker, a frequent traveler, or someone who lives on business calls, the Jabra Evolve3 75 is a fulfilling investment that can handle work, music, and gaming while looking pretty chic. Plus, they are regularly discounted online, and at the time of writing this, they were listed at $319, which is pretty tempting.

Why not try 

Jabra Evolve3 85 — In case you’re already sold on the Evolve3 75, but work in a loud, disruptive environment, step up to the Evolve3 85. Its over-ear design fully wraps around your ears for significantly better passive isolation and vastly superior ANC. It keeps the same boomless AI microphone tech and incredible battery life, trading away a bit of portability and breathability for a more pleasing audio experience.

Epos Impact 500 — If you want the lightest, coolest headset possible and don’t mind a more traditional look with a protruding mic, the Epos Impact 500 is a cool pick. Its physical boom mic rests inches from your mouth, so your voice comes through slightly warmer and more “present” than any boomless rival. It also throws hybrid ANC into the mix.

Logitech Zone Wireless 2 ES — On a much smaller budget, if you’re chasing a reliable office headset, the Logitech Zone Wireless 2 ES strikes the middle ground handsomely. It’s an affordable alternative that still nails call quality, happens to be fairly comfortable for your skull, and offers a solid wireless performance.

How we tested

I tested the Jabra Evolve3 75 as my primary work headset for a spell of two weeks. During that time, they were extensively used for calls and music playback across my usual workday. Calling as handled across cellular 5G networks and online calls over Microsoft Teams, Google Meet, Zoom, and WhatsApp.

For testing the mic quality, I toggled between noise suppression and ANC midway through calls — cellular and internet — to assess the quality of the voice signal reaching the person on the other end. I recruited at least eight participants for voice and video calls to seek their blind input on the quality of voice and noise level they were fed on their end.

For testing the audio quality, I used the Sony WH-1000XM6 as a control device for testing the soundstage and overall music listening experience. The Jabra headset was used in Bluetooth mode, connected to a smartphone and MacBook Pro, while 5G and Wi-Fi (200Mbps) handled the calling route.

This post is brought to you in paid partnership with HP.

The HP OmniBook X Flip is designed as an all‑day AI PC that adapts seamlessly from productivity to entertainment without switching devices.

Devices like the HP OmniBook X Flip reflect this shift toward a single system that carries users through an entire day. From early calls to late-night streaming, the expectation is no interruptions, no switching devices, and no drop in performance.

A typical day now includes meetings, multitasking, mobility, and downtime on the same machine. That shift makes flexibility, balance, and continuity essential. What makes a laptop truly versatile?

The HP OmniBook X Flip delivers consistent performance, flexible design, strong visuals, and reliable battery life across changing tasks. It supports work, communication, and entertainment without requiring adjustments throughout the day.

Powered by an AI‑enabled processor, the HP OmniBook X Flip handles video calls, document editing, and multiple browser tabs simultaneously.

• AI‑enabled CPU for smoother multitasking
• OLED display for clear split‑screen work and media
• Fast charging to stay productive on the go

As the day progresses, this balance becomes more noticeable. The same device continues to adapt without requiring changes in setup or usage.

What kind of performance do you need for work and entertainment?

Performance determines how smoothly a laptop handles tasks as they overlap throughout the day. It affects responsiveness, multitasking, and how stable the system remains under pressure. Consistent performance ensures that work and entertainment feel equally seamless.

In a morning workflow, a user may be on a video call while editing content and switching between tabs. The HP OmniBook X Flip keeps these tasks running simultaneously without interruptions, allowing a steady workflow, thanks to the Intel Core Ultra chip and its Smart Sense feature. The feature selects between 5 PC modes based on apps and laptop usage. It also optimizes CPU/GPU performance, fan noise, and battery power.

Why adaptive performance matters

The HP OmniBook X Flip comes with a Smart Sense feature we talked about above – and this is exactly the kind of performance you would need in an adaptive workload situation.

As the day moves forward, workloads will shift from heavy to light to medium, ranging from content creation and multitasking, and a system that adapts in real time maintains performance without requiring manual control.

How newer systems approach this

Modern systems use AI to balance processing power, graphics, and energy usage based on activity. On the OmniBook X Flip, this translates into smooth transitions between light and demanding tasks.

• Multi-core processor with 6-8 cores for multitasking
• Integrated graphics supporting media, editing, and workloads
• AI engine with up to 50 TOPS optimization for faster performance
• Advanced cooling for sustained performance

By the afternoon, when workloads become heavier, such as editing or handling multiple applications, the system remains stable. There is no need to pause, restart, or adjust settings, which keeps the workflow uninterrupted.

What display and audio features are best for work and entertainment?

Display and audio determine how effectively a laptop supports both productivity and downtime without switching devices. They influence clarity during work, communication quality during calls, and immersion during streaming or light gaming.

A system that maintains consistency across these scenarios supports a seamless work-to-play experience. Throughout the day, users shift from reviewing documents and attending video calls to watching content or playing casual games.

The HP OmniBook X Flip supports this transition with features including a 3K OLED display, delivering sharp visuals, deep contrast, and accurate colors across tasks. With up to a 120Hz refresh rate and variable refresh support, motion remains smooth, benefiting both scrolling at work and light gaming in the evening.

What to look for in a laptop display and audio

• Up to 2K or 3K resolution for sharp text and visuals
• 95–100% DCI-P3 color coverage for accurate output
• 120Hz refresh rate for smoother motion and scrolling
• 16:10 aspect ratio for better vertical workspace

A high-quality display reduces strain during long sessions and improves visual detail. Clear audio ensures that calls remain understandable and media playback feels immersive.

By evening, the OmniBook X Flip can be used for streaming or casual viewing; the experience remains engaging. There is no visible drop in quality, reinforcing the laptop’s ability to handle both work and play.

What laptop design is best for working on the go?

Design determines how easily a laptop adapts to changing environments and usage patterns. Portability, flexibility, and durability influence how practical the device feels throughout the day.

A well-designed system supports movement without interrupting usability. Midday often involves working from different locations, such as a café or meeting space. The HP OmniBook X Flip supports this shift through features including:

Benefits of convertible designs

• Under 1.5 kg weight for easy portability
• 2-in-1 hinge with multiple usage modes
• Aluminum chassis with reinforced durability
• 59Wh battery with fast charging support

Switching between laptop mode for typing, tablet mode for presenting, and tent mode for viewing or light gaming becomes seamless on the OmniBook X Flip. This flexibility allows the device to adapt to different situations without requiring additional tools or accessories.

In a work setting, laptop mode supports focused typing and multitasking, while tablet mode enables quick presentations or touch-based interaction. When shifting into downtime, tent mode on the OmniBook X Flip provides a stable setup for streaming content or playing casual games.

The elevated screen improves visibility, while the keyboard stays out of the way for uninterrupted viewing or controller use. It also enhances airflow and speaker projection, helping maintain performance and audio clarity during longer sessions.

How does AI improve laptop performance and productivity?

Software and AI features improve efficiency by adapting system behavior to real-time usage. They reduce the need for manual adjustments and maintain consistency across tasks. This allows users to focus on their work rather than managing the device.

Throughout the day, users switch between browsing, editing, calls, and media. On the HP OmniBook X Flip, this is supported through features including:

How AI is improving laptop performance

• AI adjusts CPU, GPU, and power in real time
• Auto workspace layouts and app grouping shortcuts
• Smart modes optimize performance, cooling, and battery

This automation keeps the system responsive across different workloads. Users do not need to change settings when moving between tasks. As workloads shift, the device continues to operate smoothly, reinforcing a consistent experience.

How do you choose the best laptop for work and entertainment?

The HP OmniBook X Flip is designed to support a full day of varied usage by balancing performance, portability, and usability across work and entertainment.

• Multi-core CPU with integrated graphics and AI acceleration
• OLED display, 2K/3K resolution, high brightness
• 8–10 hour battery with fast charging support
• Lightweight 2-in-1 design with multiple usage modes
• AI-driven system optimization and adaptive performance

From morning multitasking to evening streaming or light gaming, the OmniBook X Flip maintains a consistent experience, reducing the need for multiple devices.

FAQs

Can one laptop handle both work and entertainment?

Yes, devices like the HP OmniBook X Flip are designed to support productivity and entertainment without requiring users to switch devices throughout the day.

What features matter most for versatility?

Performance, display quality, battery life, and flexible design define versatility. These factors ensure smooth transitions between different tasks and environments.

Are 2-in-1 laptops good for productivity?

Yes, 2-in-1 laptops support multiple workflows and improve adaptability. They allow quick transitions between typing, presenting, and touch-based interaction.

How long should the battery last?

A good laptop for mixed work and entertainment usage should comfortably deliver all-day battery life for tasks like video calls, multitasking, browsing, and streaming. Fast charging support is also important because it allows users to quickly recharge during travel, meetings, or classes instead of staying plugged in constantly.

Should the laptop be good for gaming?

Modern integrated graphics are capable of handling casual gaming, cloud gaming, and lighter AAA titles at moderate settings. Features like high refresh rate displays, efficient cooling, and AI-assisted performance optimization can also improve the overall gaming and entertainment experience on thin-and-light laptops.

Is the laptop good for students?

Students typically benefit from laptops that combine portability, battery life, multitasking performance, and flexible usability. Lightweight designs are easier to carry between classes, while fast processors help manage research tabs, productivity apps, and video calls smoothly. Convertible 2-in-1 designs can also improve note-taking, presentations, and media consumption.

Conclusion

A premium laptop like the HP Omnibook X Flip achieves true versatility when its hardware, software, and design function as a cohesive system across varied workloads. It must sustain performance during multitasking, adapt resource allocation in real time, and maintain thermal stability without manual input. This level of integration ensures that productivity tasks, creative workflows, and media consumption can run seamlessly on the same device.

For freelancers, hybrid workers, and creators, this consistency becomes essential. A typical day involves shifting between meetings, editing, communication, and downtime without changing systems. Devices like the HP OmniBook X Flip are designed to support this continuous workflow by combining multi-core processing, AI-driven optimization, and a flexible 2-in-1 form factor.

These elements allow users to transition between laptop, tablet, and tent modes without interrupting their work. Display and audio systems must deliver consistent clarity and accuracy across use cases. High-resolution panels with strong color coverage support both productivity and creative tasks, while calibrated audio and noise reduction maintain communication quality. These elements reduce friction when transitioning between work and entertainment.

Form factor and power efficiency further define usability. A convertible design enables multiple interaction modes, while efficient battery management ensures sustained operation across different environments. AI-driven optimization systems add another layer by continuously adjusting performance, cooling, and power usage in real time. This integrated approach reflects the growing need for a single device that supports both work and downtime without compromise.

If you want a premium laptop that keeps up during busy work hours and transitions smoothly into streaming or light gaming at night, the HP OmniBook X Flip delivers that balance. Its AI-powered performance adapts to changing workloads, while the 2-in-1 design moves easily between typing, presenting, and tent mode for entertainment. Combined with a high-quality OLED display and efficient battery, it supports a full day on one device without interruptions.

This content is paid for by the brands indicated. Digital Trends works closely with advertisers to highlight their products and services to our readers. Although this article is informational and not opinionated, it reflects thorough fact-checking by our team to ensure accuracy. Our dedicated partnerships team, not external advertisers, crafts all branded content in-house. For more information on our approach to branded content, click here.

OpenAI is reportedly preparing a major transformation of ChatGPT that could fundamentally change how people interact with artificial intelligence. Instead of remaining primarily a conversational chatbot, the company now wants ChatGPT to evolve into a “super app” powered by AI agents capable of managing tasks across both personal and professional life.

According to a report by the Financial Times, OpenAI executives increasingly believe the future of AI lies not in chatbots that simply answer questions, but in intelligent systems that actively complete tasks for users. The company’s long-term vision reportedly includes AI agents capable of organizing schedules, booking travel, writing software, generating content, and managing workflows across multiple services and platforms.

OpenAI executive Thibault Sottiaux reportedly described the goal as creating a “personal agent” that can help users “across everything in your life.” That vision would allow users to interact with ChatGPT through smartphones, desktops, websites, and potentially even vehicles, turning the platform into a much broader digital assistant ecosystem.

OpenAI is betting big on AI agents and enterprise growth

A major part of the strategy revolves around Codex, OpenAI’s coding-focused platform, which has reportedly grown to more than five million weekly active users. Internally, OpenAI appears increasingly convinced that coding tools and AI agents capable of taking actions on behalf of users could become far more valuable than traditional chatbot interactions.

To support that shift, the company is reportedly redesigning ChatGPT’s mobile and web interfaces to highlight coding, image generation, and integrations with third-party services. Partner applications from companies like Canva and Booking.com may also become more deeply integrated into the ChatGPT experience as OpenAI pushes toward a more connected AI ecosystem.

The changes also reflect mounting pressure inside the AI industry. Competition has intensified rapidly as rivals, including Anthropic, Microsoft, and Google, continue expanding their own AI-powered products and enterprise offerings. While ChatGPT remains one of the world’s most recognizable AI products, OpenAI is under increasing pressure to prove long-term profitability and diversify revenue streams beyond free chatbot usage.

Enterprise customers are becoming especially important to that effort. Reports suggest business-focused products already account for a significant portion of OpenAI’s revenue, and the company is reorganizing internal teams to prioritize enterprise growth over some consumer-oriented initiatives.

ChatGPT may eventually become much more than a chatbot

The broader implication is that OpenAI no longer sees ChatGPT as just a messaging interface. Instead, the company appears to be positioning it as a central operating layer for future AI-powered computing experiences.

If successful, the shift could reshape how users interact with software entirely. Rather than opening separate apps for productivity, communication, coding, travel, scheduling, and search, people may increasingly rely on a single AI assistant capable of handling multiple tasks conversationally and autonomously.

At the same time, OpenAI is also strengthening relationships with policymakers and regulators as AI becomes more politically and economically significant. Reports indicate the company plans to provide the U.S. government with early access to some AI models under a voluntary framework introduced by President Donald Trump. Discussions around potential government stakes in AI companies have also reportedly involved OpenAI CEO Sam Altman as officials explore ways to distribute AI-driven economic gains more broadly.

The overhaul of ChatGPT is reportedly expected to roll out gradually through updates to the app and website in the coming months. If OpenAI succeeds, ChatGPT may soon evolve from a chatbot people occasionally visit into a constantly present AI assistant woven into everyday life.

Astronauts aboard the International Space Station reportedly took precautionary shelter measures after maintenance work on a long-troubled Russian module raised fresh safety concerns about air leaks aboard the orbiting laboratory.

According to reports, the incident involved Russia’s Zvezda service module, which has experienced recurring air leak problems for several years. During repair work and pressure tests connected to the leak investigation, astronauts were instructed to isolate themselves in safer sections of the ISS as engineers monitored the station’s integrity and pressure stability.

The event highlights the growing strain on aging infrastructure aboard the International Space Station, particularly within some of the older Russian-built modules that have remained operational far beyond their original expected service life. While NASA and Roscosmos reportedly emphasized that the crew was never in immediate danger, the precautionary shelter procedures underscore how seriously space agencies continue to treat even relatively small leaks in orbit.

The International Space Station is showing signs of age

The Zvezda module has become a recurring source of concern in recent years. First launched in 2000, the module serves as one of the core components of the Russian segment of the ISS and supports life-support systems, crew quarters, and station operations.

Air leaks linked to tiny cracks inside the module have been detected multiple times over the past few years. While engineers have repeatedly patched and monitored the affected areas, the exact cause of some leaks remains difficult to fully determine. Reports suggest that Russian teams recently conducted additional sealing efforts and pressure tests to determine whether the repairs had successfully stabilized the module.

Image: The long axis of the complex is seen in this 2021 image of the International Space Station. In this picture, the US segment and Crew Dragon docking port are close to the top, while the Russian segment is toward the bottom. NASA is credited.

Because the ISS operates in the vacuum of space, even minor air leaks are treated as serious engineering risks. A gradual loss of cabin pressure can threaten crew safety if not carefully monitored and controlled. Astronauts regularly train for emergency leak scenarios, including isolating modules and taking shelter in docked spacecraft if necessary.

The Zvezda service module transfer tunnel, known as PrK, has suffered from cracks and leaks for some time, and has been mitigated by Roscosmos as much as possible to date. The cracks have always been a concern that NASA watches very closely. NASA and Roscosmos have been working…

— Bethany Stevens (@NASASpox) June 5, 2026

The incident also occurred during a period of increasing uncertainty surrounding the future of the ISS itself. Originally designed with a more limited operational lifespan, the station has now been continuously inhabited for more than two decades. As components age, maintenance challenges are becoming more frequent and more technically complex.

Space agencies are trying to keep the ISS running safely

Despite the concerns, the ISS continues to function as one of humanity’s most important scientific research platforms. NASA, Roscosmos, ESA, JAXA, and other international partners still rely heavily on the station for microgravity experiments, medical research, and long-duration spaceflight studies.

However, recurring technical issues have intensified discussions about how long the station can realistically remain operational before replacement systems become necessary. NASA has already shifted focus toward supporting future commercial space stations that could eventually succeed the ISS later in the decade.

For now, engineers appear focused on stabilizing the Zvezda module and continuing close monitoring of pressure levels and structural integrity. Reports indicate the station remains operational, and astronauts have resumed normal activities following the precautionary shelter procedures.

Still, the episode serves as another reminder that maintaining a permanently occupied laboratory in space is an extraordinarily difficult task – especially when parts of that laboratory are now older than many of the astronauts living inside it.

In early-stage companies, time often becomes the most constrained resource. Founders and engineering teams must move quickly to build products, reach customers, and refine their offerings. Yet a significant portion of that time can be spent on infrastructure tasks that sit behind the scenes. According to a report, application development accounted for just 16% of developers’ time, meaning the majority of their work was spent on operational and supporting tasks rather than writing code. Against that backdrop, database management has become one of the areas where engineering hours quietly accumulate.

Jacob Blankenship, founder of RogueDB, believes this is where many startups lose momentum. “When teams look back at how their engineers spend time, database management can take a surprising share of it,” he explains. “Our focus has been simple. If we can give those hours back, engineers can spend them building their products instead of maintaining infrastructure.”

RogueDB is a fully managed database platform designed to handle the core responsibilities traditionally associated with data infrastructure. The system manages performance, scaling, and security within the platform itself, while allowing developers to interact with the database through a simplified API. According to Blankenship, the goal is to reduce the operational overhead that many development teams encounter as their applications grow.

The challenge, he explains, often begins with the way databases are typically deployed. Many teams either configure and maintain their own database infrastructure or adopt a managed platform that still requires ongoing tuning and configuration. Both paths can place a significant workload on engineering teams.

Blankenship notes that even experienced engineers may spend weeks or months configuring infrastructure and troubleshooting performance. “Setting up a database environment can take a considerable amount of time,” he says. “And even after the initial set-up, there are still ongoing responsibilities for maintaining the performance, security, and preparing the system for scale.”

RogueDB attempts to simplify that process by removing several traditional steps. According to Blankenship, the platform operates through a purely API-driven architecture rather than relying on conventional SQL-based interaction. From his perspective, this approach reflects a shift in how modern applications integrate data systems.

“There has been an assumption for decades that a serious database requires SQL and extensive configuration,” he says. “We designed RogueDB to show that a database can be integrated directly through an API with zero configuration and still deliver strong performance and security.”

According to Blankenship, that design in practice means developers interact with the database through programmatic calls rather than managing configuration layers themselves. He explains that the platform is structured so that security and performance are embedded into the core design. “Our philosophy is there should only be one way to use the system: the secure way,” he says.

The platform’s development has also been shaped heavily by user feedback. During the first quarter of 2026, the company focused primarily on stabilizing the product and addressing issues reported by early adopters. Blankenship says those improvements were implemented quickly, within days rather than weeks or months.

“When customers identified problems or asked for adjustments, we prioritized rapid fixes,” he says. That feedback-driven approach has influenced the product roadmap as well. The company is expanding the platform’s capabilities throughout 2026, including additional support for transactional workloads and analytical data processing. According to Blankenship, these features reflect common requests from organizations evaluating the platform.

“Our roadmap is shaped by the conversations we have with users,” he says. “When teams tell us what capabilities they need to move forward, those insights help determine what we build next.”

The company’s current audience consists primarily of startups, IT firms, and small to medium-sized businesses that prioritize speed and flexibility. These organizations often operate with small engineering teams where each hour of development time carries significant value.

Blankenship notes that database management can represent several hours of weekly work for each engineer. “Even conservative estimates suggest engineers can spend multiple hours a week managing database infrastructure,” he says. “If a platform can reduce that significantly, the benefit compounds quickly across a team.”

By reclaiming that time, he argues, teams can focus on the activities that define their growth. “The real goal is not just a faster database,” Blankenship says. “It is giving engineers the ability to concentrate on building products and launching features instead of maintaining the plumbing behind them.”

As RogueDB continues to expand its capabilities and pursue additional compliance certifications, the company’s long-term vision remains centered on that same principle. In Blankenship’s view, reducing infrastructure complexity ultimately enables smaller teams to compete more effectively.

“When you give people back their time, they can move faster and build better products,” he says. “For startups and growing businesses, that difference can shape everything from product development to how quickly they reach the market.“

TL;DR

The Leiden Declaration on Artificial Intelligence and Mathematics, endorsed by the International Mathematical Union and signed by Fields Medal recipient Peter Scholze, calls on mathematicians to confront how AI companies are using published research without consent, bypassing peer review, and threatening the integrity of proof and attribution.

A coalition of mathematicians from institutions including Oxford, Cambridge, ETH Zurich, Columbia, and Northwestern has published a formal declaration calling on the mathematical community to confront the threats that artificial intelligence poses to their discipline. The Leiden Declaration on Artificial Intelligence and Mathematics, released on Monday and endorsed by the International Mathematical Union, is the most significant collective response from a major academic discipline to the way AI companies are using, and in some cases exploiting, published research.

The 11-page document does not oppose AI in mathematics. It opposes the way AI companies are treating mathematical work: training models on published papers without consent, announcing results through press releases instead of peer review, undermining attribution, and reshaping research priorities to serve commercial interests rather than intellectual significance. “Mathematics is, and should always remain, a profoundly human endeavour,” said Ulrike Tillmann, vice president of the IMU.

Five threats to mathematical research

The Declaration identifies five specific ways AI threatens the values that make mathematics trustworthy. First, current AI systems produce plausible but unreliable arguments that are difficult to distinguish from correct proofs. This applies not only to informal reasoning but also to formal computer-encoded proofs, where the difficulty lies in translating between machine and human representations of concepts. The problem of AI-generated content that looks authoritative but contains subtle errors is not unique to mathematics, but in a discipline built on certainty, it is existential.

Second, AI models trained on published mathematical work do not properly cite the human contributions they synthesise. The Declaration notes that much training data was obtained by “systematically exploiting licences and access arrangements that were not made with artificial intelligence in mind, or indeed by simply violating copyright protections.”

Third, the use of AI is becoming incentivised for its own sake, distorting hiring, funding, and recognition. Fourth, results are increasingly communicated through press releases and blog posts rather than peer-reviewed journals, seeking publicity “on market timelines before the accepted processes of community evaluation in mathematics can take place.” The Declaration cites Google DeepMind’s AlphaProof, which solved three International Mathematical Olympiad problems in 2024 but took more than a year to publish its methods in a peer-reviewed venue. Google’s broader AI strategy relies on mathematical reasoning capabilities as evidence of general intelligence, creating commercial incentives to announce results before the mathematical community can properly evaluate them.

Fifth, the autonomy of mathematics is under threat. Research questions may come to be prioritised because they are amenable to automation rather than because experts judge them to be deeply significant. “Indeed, broader understanding of the field may be permanently lost in the process of automation,” the Declaration warns.

What it recommends

The Declaration makes recommendations at four levels. Individual mathematicians should disclose all AI tool use in papers, retain personal responsibility for the correctness of results, refuse to grant authorship to AI systems, and “consider carefully which tools to use” based on whether their developers align with the Declaration’s values.

Mathematical organisations should insist that results obtained by automated techniques meet standards that address the specific risks those techniques introduce, protect authors’ rights by developing licensing agreements that prevent use of published work as training data without consent, and demand that results continue to be published through peer-reviewed venues. European regulatory frameworks provide a model, but the Declaration argues that the mathematical community must also set its own standards independently of government.

For policymakers, the recommendations are blunt. “Don’t believe the hype,” the Declaration states. “There is currently a strong commercial incentive on the part of the technology industry to overstate the capabilities of their products.” It calls for significantly increased public oversight of the AI industry and investment in public computational infrastructure as an alternative to proprietary systems.

Who signed it

The Declaration carries significant weight because of its signatories. Peter Scholze, a Fields Medal recipient and director of the Max Planck Institute for Mathematics, endorsed it with a personal statement: “I am pondering my mathematical ideas without use of AI, and generally avoid reading AI-generated text as best as I can.” Other endorsements came from Robbert Dijkgraaf, former Dutch minister of education and president-elect of the International Science Council, and Steven Strogatz, Cornell’s distinguished professor for the public understanding of science and mathematics.

Kevin Buzzard, the Imperial College professor who has been one of the most prominent advocates for formalised mathematics, called it “a well-thought-through response to what is currently happening, as AI continues to disrupt this space.” The tension between AI capability and research integrity that the Declaration describes is not limited to mathematics, but mathematicians are among the first academic communities to respond with a coordinated, institution-backed statement.

The deeper argument

The Declaration’s most provocative section addresses AI companies directly. It argues that tech companies are attracted to mathematics because formalised proofs can be checked automatically, creating an “effectively unlimited source of feedback for training artificial intelligence models.” The strategy rests on an assumption that capabilities developed through mathematical theorem proving will extend to broader general reasoning, an assumption the Declaration treats sceptically.

“Some of the resulting general-purpose models are being commercialised for applications that raise grave ethical concerns,” the authors write, “including warfare, oppression, mass surveillance, and the undermining of democracy.” The intersection of AI research and military applications has become one of the defining tensions of 2026, and the Leiden Declaration makes clear that mathematicians do not want their work used as training data for systems deployed in those contexts without their consent.

The Declaration was developed over eight months by a 17-member working group following a September 2025 workshop at the Lorentz Center in Leiden. It had 37 verified signatories on its first day and is open for additional signatures from the mathematical community.

OpenAI is getting serious about courting enterprise users. On Tuesday, the AI lab released a new set of capabilities for Codex, meant to expand the agentic tool’s uses in the workplace.

Together with the new tools, the company released an internal report on how Codex is being used for knowledge work, finding its uses go far beyond software engineering.

“Codex now has more than 5 million weekly active users, up more than 6x since the launch of the desktop app in February,” reads a blog post introducing the report. “While developers remain the largest user group, knowledge workers now represent about 20 percent of users and are growing more than three times as fast.”

To further court those users, OpenAI released a set of six plug-ins aimed at specific jobs: data analytics, creative production, sales, product design, equity investing, and investment banking. Available from within the Codex app, each of the new tools bundles integrations, instructions, and context to allow Codex to approximate a specific job.

Like any AI tool, the plug-ins will grow more effective with user customization, but they’re meant to be effective tools out of the box.

The new tools come after a similar push for agentic plugins from Anthropic, which launched its Enterprise Agents program in February. (A more specific set of finance-oriented agents launched in May.) With its traditional consumer focus, OpenAI has been slower to court enterprise customers, only introducing plugin support for Codex in March.

Together with the plug-ins, OpenAI introduced a new Sites feature, which allows Codex to output its work product as a hosted interactive website, instead of just a local file. As part of that system, OpenAI is partnering with Wix, Base44, Replit, Lovable, Figma, and Emergent — although the company plans to develop a larger partner ecosystem to support the service.

A new Annotations feature will also allow users to designate a specific part of a document or file within Codex, allowing for more specific commands and context operations.

The new enterprise features come just three weeks after OpenAI launched a new joint venture for enterprise clients, dubbed the OpenAI Deployment Company. The venture includes more than $4 billion in funding from global investment firms, with the aim of integrating OpenAI tools more deeply into businesses around the world.

“AI is becoming capable of doing increasingly meaningful work inside organizations,” OpenAI Chief Revenue Officer Denise Dresser said in a statement at launch. “The challenge now is helping companies integrate these systems into the infrastructure and workflows that power their businesses.”

CBA chief executive Matt Comyn used the phrase ‘work slop’ to describe the low-quality AI output now flowing through corporate workflows, as token-billed AI costs scale with task complexity.

Matt Comyn, chief executive of the Commonwealth Bank of Australia, used a speech on Monday to flag two AI-adoption problems large corporate buyers have been working through quietly for several months.

The first is that the cost of running generative AI inside corporate workflows is rising substantially faster than most companies budgeted for as task complexity scales.

The second is what Comyn called “work slop”, the low-quality AI-generated text, code and analysis that flows through internal company systems when employees use AI without sufficient quality control.

The cost framing is the part that will resonate with the corporate-IT-buyer audience. Token-based pricing, the per-character billing model the foundation-model labs use to charge enterprise customers, has scaled in the past 18 months from a modest line item into a meaningful operating-expense category.

Comyn’s point is that the cost compounds faster than expected because token consumption per task rises non-linearly with task complexity: a simple summarisation task might consume 1,000 tokens, but a multi-step reasoning task with tool use can consume 100,000-plus tokens for the same output value. Companies that priced their AI rollouts on the simple-task baseline are now seeing bills that scale on the complex-task curve.

This problem is not specific to CBA. Morgan Stanley doubled its European-banking-AI-job-loss forecast last week partly on evidence that AI cost-benefit ratios are tightening at exactly the moment large institutions had hoped they would loosen. The token-cost-scaling problem Comyn described is the underlying mechanic: the same AI deployment that worked at pilot-stage volumes can produce 10-100x the costs at production-stage complexity.

The result is the corporate-AI procurement squeeze that Comyn predicted will tighten through 2026: businesses tightening scrutiny of AI-related spending as pressure mounts to demonstrate returns on investment.

The “work slop” framing is the more colourful but equally substantive half of the speech. The category Comyn was naming, low-quality AI-generated output that nominally completes a task but actually degrades downstream workflow, is the corporate-knowledge-work analogue of the social-media “AI slop” problem that emerged in 2024 with image-generation tools.

The bank version looks like this: an employee uses ChatGPT to draft a customer email, the email is technically grammatical but factually imprecise, the recipient takes the imprecision as a commitment, and the bank deals with the resulting complaint three weeks later at a substantially higher cost than the original work would have generated unaided.

The CBA-specific context is significant. The bank announced 90 job cuts earlier this year and a further 120 cuts in May explicitly attributed to AI-driven productivity gains, alongside a A$90m AI-workforce reskilling commitment.

Comyn’s remarks therefore land inside a CBA strategy that has visibly committed to AI substitution at scale: the “work slop” framing is not a defensive critique of AI from a bank that has rejected the technology but a sharper inside-baseball read on AI deployment from one of Australia’s largest current adopters.

The wider Australian-bank context is also worth noting. Sam Altman has been arguing over the past month that an AI jobs apocalypse is unlikely at the macro level, and the labour data through March 2026 has so far supported the conservative read.

Comyn’s remarks complicate that picture: the macro labour data does not yet show large-scale displacement, but the operating-margin data inside large corporates is starting to show the AI-cost-and-quality tradeoffs CBA is now naming explicitly.

The substantive implication is that the 2024-2025 AI cost narrative, that token prices were falling so quickly that the deployment-economics question would solve itself, has structurally inverted.

Falling per-token prices have been overwhelmed by rising per-task token consumption as enterprises move from pilot deployments to production use cases. The procurement-discipline phase Comyn is forecasting through 2026 is, on this evidence, the predictable consequence.