Google is expanding the role of its Gemini AI assistant by integrating it directly into Google Chat, allowing users to create documents, slides, and manage tasks without leaving conversations. The update introduces a new feature called “Ask Gemini in Chat,” positioning Chat as a central hub not just for communication, but for getting work done.
With this integration, users can type a request in natural language, and Gemini will handle the task in the background. This includes generating Google Docs, building presentations, scheduling meetings, and retrieving files based on simple descriptions. The goal is to reduce the need to switch between apps within the Workspace ecosystem.
Turning Chat Into A Command Center
The new experience treats Google Chat as a command interface for work. Instead of navigating through multiple tools, users can simply state what they need. Gemini then processes the request and delivers the output directly within the chat thread.
Google Gemini Live FeatureUnsplash
The assistant also introduces a daily briefing feature, which highlights important tasks, unread conversations, and urgent action items. This gives users a quick overview of what needs attention without manually checking different apps.
Another key addition is deeper integration with third-party tools. Gemini can now connect with platforms like Asana, Jira, and Salesforce, allowing users to access information and complete tasks across external services from within Chat. This expands its functionality beyond Google’s own ecosystem.
Why This Matters For Workplace Productivity
The update reflects a broader shift in how AI is being integrated into work environments. Instead of existing as a separate tool, Gemini is being embedded directly into everyday workflows. This approach reduces friction by combining communication and execution in one place. It also signals Google’s intent to compete more aggressively in the AI productivity space, where tools are increasingly focused on automating routine tasks.
By enabling users to create content, manage schedules, and access data from a single interface, Google is positioning Chat as more than just a messaging platform.
What It Means For Users
For users, this integration could simplify daily workflows. Tasks that previously required multiple steps – such as drafting a document or scheduling a meeting – can now be handled through a single prompt. It also makes collaboration more efficient, as outputs are generated directly within shared conversations. Teams can review, edit, and act on content without switching between apps.
However, the effectiveness of this system will depend on how accurately Gemini understands requests and how reliably it integrates with different tools.
What Comes Next
Google is expected to continue expanding Gemini’s capabilities within Workspace, adding more integrations and refining its understanding of complex tasks. As AI becomes more deeply embedded into productivity tools, the focus will likely shift toward improving accuracy and reducing friction further.
The long-term goal appears to be clear: turning everyday work conversations into actionable workflows, where communication and execution happen in the same place.
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
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?
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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