Google brings Auto Browse and Skills to Chrome Enterprise – and a new ‘Gemini Summary’


Google brings Auto browse and Skills to Chrome Enterprise - and a new 'Gemini Summary'

Google / Elyse Betters Picaro / ZDNET

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ZDNET’s key takeaways

  • Chrome Enterprise adds agent-like AI to automate work tasks.
  • New “Skills” let workers save and reuse AI workflows instantly.
  • IT has visibility and controls to help manage AI security risks.

Google has announced new Chrome features specifically for companies. The update brings AI capabilities to workers while giving IT teams greater control over which AI tools are used across the workplace. Chrome Enterprise is now a place where work gets done, AI operates inline, and administrators can enforce security, all within the browser.

Also: Google bets $32B on AI agent cyber force as security arms race escalates

1. Auto Browse

One of the biggest changes coming to Google’s workplace browser, Chrome Enterprise, is a Gemini feature called Auto Browse. I already tested Auto Browse in the consumer version of Chrome, but now it’s available to Workspace users in the US. It adds autonomous, agent-like capabilities that can take action on your behalf based on what’s open in your browser.

Also: How Google just revamped Gemini Enterprise for the agentic era

In practice, that means if you’re working in a Google Doc, browsing a company site, and using a CRM, you can ask Gemini in Chrome Enterprise to complete a task across your open tabs. Google said it could turn the content in your Google Doc into a new sales opportunity by pulling in all relevant details, creating contacts, and setting everything up in the CRM for you.

You still need to review and approve actions before they are executed.

1. Auto browse

Google / Elyse Betters Picaro / ZDNET

2. Skills

Google is also bringing “Skills” to Chrome Enterprise, letting you save and reuse AI workflows. This one-click feature launched recently for consumers in Chrome, but is now coming to Workspace. The idea is, if you find yourself asking Gemini the same thing throughout the workday, you can save that prompt as a Skill and run it instantly on any page in your browser.

Also: I tested ChatGPT Plus vs. Gemini Pro to see which is better

Just type / in the Gemini side panel, select your Skill, and it runs immediately on the page you’re viewing. Over time, you can build a library of repeatable tasks customized to how you or your team works. As a safeguard, most Skills require confirmation before running.

Google said Workspace prompts are not used to train its AI models.

2. Skills

Google / Elyse Betters Picaro / ZDNET

3. Gemini Summary

Since employees may already be using AI tools on their own, Google is flagging a “Shadow AI” risk where sensitive data could be shared with unmonitored tools. To address this, Chrome Enterprise now gives IT teams visibility into AI usage across the workplace, including which tools employees access, unusual behavior from extensions or agents, and unapproved tools.

Google said its GenAI and SaaS report will flag sanctioned and unsanctioned tools, while Chrome Enterprise’s extension telemetry will help IT administrators detect suspicious activity. That data can feed into platforms like SecOps and other SIEM tools. Admins can block risky extensions using third-party risk scores, restrict them by category, and remotely uninstall them.

Google is also adding a “Gemini Summary” module to the admin dashboard. It uses AI to summarize updates, highlight changes, and suggest actions for IT administrators in a condensed overview.

Also: This Gemini setting made my AI results way more personal

Meanwhile, integrations with platforms like Okta add another layer of security. In fact, Google and Okta added new features to reduce session hijacking by binding authentication sessions to a device’s secure hardware, “rendering stolen cookies unusable,” Google said. IT teams will also be able to remotely clear Chrome browsing data, such as cookies, on compromised devices.

3. Gemini Summary

Google / Elyse Betters Picaro / ZDNET





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Recent Reviews


As I’m writing this, NVIDIA is the largest company in the world, with a market cap exceeding $4 trillion. Team Green is now the leader among the Magnificent Seven of the tech world, having surpassed them all in just a few short years.

The company has managed to reach these incredible heights with smart planning and by making the right moves for decades, the latest being the decision to sell shovels during the AI gold rush. Considering the current hardware landscape, there’s simply no reason for NVIDIA to rush a new gaming GPU generation for at least a few years. Here’s why.

Scarcity has become the new normal

Not even Nvidia is powerful enough to overcome market constraints

Global memory shortages have been a reality since late 2025, and they aren’t just affecting RAM and storage manufacturers. Rather, this impacts every company making any product that contains memory or storage—including graphics cards.

Since NVIDIA sells GPU and memory bundles to its partners, which they then solder onto PCBs and add cooling to create full-blown graphics cards, this means that NVIDIA doesn’t just have to battle other tech giants to secure a chunk of TSMC’s limited production capacity to produce its GPU chips. It also has to procure massive amounts of GPU memory, which has never been harder or more expensive to obtain.

While a company as large as NVIDIA certainly has long-term contracts that guarantee stable memory prices, those contracts aren’t going to last forever. The company has likely had to sign new ones, considering the GPU price surge that began at the beginning of 2026, with gaming graphics cards still being overpriced.

With GPU memory costing more than ever, NVIDIA has little reason to rush a new gaming GPU generation, because its gaming earnings are just a drop in the bucket compared to its total earnings.

NVIDIA is an AI company now

Gaming GPUs are taking a back seat

A graph showing NVIDIA revenue breakdown in the last few years. Credit: appeconomyinsights.com

NVIDIA’s gaming division had been its golden goose for decades, but come 2022, the company’s data center and AI division’s revenue started to balloon dramatically. By the beginning of fiscal year 2023, data center and AI revenue had surpassed that of the gaming division.

In fiscal year 2026 (which began on July 1, 2025, and ends on June 30, 2026), NVIDIA’s gaming revenue has contributed less than 8% of the company’s total earnings so far. On the other hand, the data center division has made almost 90% of NVIDIA’s total revenue in fiscal year 2026. What I’m trying to say is that NVIDIA is no longer a gaming company—it’s all about AI now.

Considering that we’re in the middle of the biggest memory shortage in history, and that its AI GPUs rake in almost ten times the revenue of gaming GPUs, there’s little reason for NVIDIA to funnel exorbitantly priced memory toward gaming GPUs. It’s much more profitable to put every memory chip they can get their hands on into AI GPU racks and continue receiving mountains of cash by selling them to AI behemoths.

The RTX 50 Super GPUs might never get released

A sign of times to come

NVIDIA’s RTX 50 Super series was supposed to increase memory capacity of its most popular gaming GPUs. The 16GB RTX 5080 was to be superseded by a 24GB RTX 5080 Super; the same fate would await the 16GB RTX 5070 Ti, while the 18GB RTX 5070 Super was to replace its 12GB non-Super sibling. But according to recent reports, NVIDIA has put it on ice.

The RTX 50 Super launch had been slated for this year’s CES in January, but after missing the show, it now looks like NVIDIA has delayed the lineup indefinitely. According to a recent report, NVIDIA doesn’t plan to launch a single new gaming GPU in 2026. Worse still, the RTX 60 series, which had been expected to debut sometime in 2027, has also been delayed.

A report by The Information (via Tom’s Hardware) states that NVIDIA had finalized the design and specs of its RTX 50 Super refresh, but the RAM-pocalypse threw a wrench into the works, forcing the company to “deprioritize RTX 50 Super production.” In other words, it’s exactly what I said a few paragraphs ago: selling enterprise GPU racks to AI companies is far more lucrative than selling comparatively cheaper GPUs to gamers, especially now that memory prices have been skyrocketing.

Before putting the RTX 50 series on ice, NVIDIA had already slashed its gaming GPU supply by about a fifth and started prioritizing models with less VRAM, like the 8GB versions of the RTX 5060 and RTX 5060 Ti, so this news isn’t that surprising.

So when can we expect RTX 60 GPUs?

Late 2028-ish?

A GPU with a pile of money around it. Credit: Lucas Gouveia / How-To Geek

The good news is that the RTX 60 series is definitely in the pipeline, and we will see it sooner or later. The bad news is that its release date is up in the air, and it’s best not to even think about pricing. The word on the street around CES 2026 was that NVIDIA would release the RTX 60 series in mid-2027, give or take a few months. But as of this writing, it’s increasingly likely we won’t see RTX 60 GPUs until 2028.

If you’ve been following the discussion around memory shortages, this won’t be surprising. In late 2025, the prognosis was that we wouldn’t see the end of the RAM-pocalypse until 2027, maybe 2028. But a recent statement by SK Hynix chairman (the company is one of the world’s three largest memory manufacturers) warns that the global memory shortage may last well into 2030.

If that turns out to be true, and if the global AI data center boom doesn’t slow down in the next few years, I wouldn’t be surprised if NVIDIA delays the RTX 60 GPUs as long as possible. There’s a good chance we won’t see them until the second half of 2028, and I wouldn’t be surprised if they miss that window as well if memory supply doesn’t recover by then. Data center GPUs are simply too profitable for NVIDIA to reserve a meaningful portion of memory for gaming graphics cards as long as shortages persist.


At least current-gen gaming GPUs are still a great option for any PC gamer

If there is a silver lining here, it is that current-gen gaming GPUs (NVIDIA RTX 50 and AMD Radeon RX 90) are still more than powerful enough for any current AAA title. Considering that Sony is reportedly delaying the PlayStation 6 and that global PC shipments are projected to see a sharp, double-digit decline in 2026, game developers have little incentive to push requirements beyond what current hardware can handle.

DLSS 5, on the other hand, may be the future of gaming, but no one likes it, and it will take a few years (and likely the arrival of the RTX 60 lineup) for it to mature and become usable on anything that’s not a heckin’ RTX 5090.

If you’re open to buying used GPUs, even last-gen gaming graphics cards offer tons of performance and are able to rein in any AAA game you throw at them. While we likely won’t get a new gaming GPU from NVIDIA for at least a few years, at least the ones we’ve got are great today and will continue to chew through any game for the foreseeable future.



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