I see Apple skipping the AI hellfire, but shaping Siri as the most flexible assistant


When Apple introduced Siri back in 2011, the world freaked out. A personal assistant on a phone with conversational chops elicited an audible gasp from the audience, and plenty of fear. “That it’s a sinister, potentially alien artificial intelligence that’s bound to kill us all,” CNN’s coverage surmised. It was a one-of-a-kind advancement, something Apple was delivering consistently back then.

And then it fell off. Now, Siri has a reputation for being, well… not exactly the sharpest voice assistant, especially in a pool of next-gen generative AI assistants such as Claude, Gemini, and ChatGPT. Anyone who’s tried asking it a tricky question knows exactly what I mean — it’s a drag to talk with Siri, and more importantly, get work done. But things are starting to shake up. Bloomberg’s Mark Gurman, a prolific all-things-Apple eavesdropper, shared yesterday that Siri might soon open its doors to third-party AI tools in a major iOS update. That’s right! Apple’s walled garden could finally be cracking.

If you think about it, this is wild. Siri is moving from a closed, self-contained assistant into a flexible AI hub capable of talking to competing technologies. Imagine an Apple assistant that’s no longer boxed in, one that can adapt, learn, and play nice with a whole ecosystem of AI brains. Honestly, I’m still trying to wrap my head around the fact that Siri could soon rank among the most versatile assistants out there, and maybe, finally, stop making us roll our eyes.

If you can’t build it, open the gates for a lease

From iPhones to MacBooks, the way you can pick up right where you left off on one device and seamlessly continue on another? It’s awesome. I don’t mind being in Apple’s curated bubble. It works, and it works well. But whispers of change are in the air. Apple appears to be loosening the reins, hinting at a future where Siri could finally stretch beyond the garden walls.

AirDrop now works with Android phones. Chinese labels are getting the Apple Watch to work with their smartphones. Open-source mad lads are linking the AirPods beyond Apple hardware. I could even remotely access my Mac on an Oppo foldable phone. Siri could be next. Instead of being confined to Apple’s fumbling in-house AI foundations, Siri taps into smarter third-party AI heavy-hitters like ChatGPT, Google Gemini, or Claude.

ChatGPT is pretty great at chats, serving as a knowledge bank, research, and even a few autonomous chores connected to external services, like ordering some chow from GrubHub. Gemini digs deep within Android, and with Google’s bread-and-butter workspace tools such as Gmail, Drive, and even third-party apps. It’s also pretty darn good at videos, images, and shines within NotebookLM.

Microsoft’s Copilot and Anthropic’s Claude dig into the Office 365 with seriously impressive tricks. Siri can barely scratch the surface in its current shape. But instead of racing to catch up — which it has stumbled at, so far — Siri can just borrow the brain of its rivals. The implications are tantalizing. Apple keeps the elegance of its ecosystem while giving Siri the freedom to roam the wider AI universe. It is like inviting a rebel into a luxury mansion, and suddenly the mansion feels a lot bigger.

Continues to stay in control

Even as Apple begins to loosen the gates of its famously walled garden, don’t read that as it giving up control. This is still very much Apple’s world, just with a slightly wider guest list. Every integration will likely be carefully reviewed, filtered, and approved. In classic Apple fashion, control doesn’t go away — it simply becomes more refined.

The company will choose which AI services to let in, ensuring they fit neatly into its ecosystem. It feels more like an invite-only gathering where Apple still decides the next step. And then there’s privacy. Opening the door doesn’t mean lowering the guard. Any third-party AI that wants in will have to follow Apple’s strict privacy rules.

So yes, the garden may feel a little more open now, but Apple is still the one holding the keys and deciding exactly how far anyone gets to go. One of the best examples is Apple’s focus on on-device AI tasks and Private Cloud Compute. Think of it as an AI server, but with Apple’s strict privacy and security protocols in place. A third-party won’t see your media sent for AI editing, and your interactions won’t be seeded to sellers for personalized apps.

How I see it

With WWDC 2026 just around the corner, this is where things could start getting very real. If Apple chooses to flip the switch, we might finally see these long-rumored changes come to fruition. But let’s not get carried away, this is still Apple we’re talking about. It doesn’t compromise on the pillars it loves to remind us about: privacy, security, and a tightly controlled user experience.

Yes, Siri opening up to third-party AI sounds like a big shift, and it is. But Apple isn’t throwing the doors open and hoping for the best. There will be rules, boundaries, and a very clear sense of who gets in and how far they can go.

For you, this could translate into sharper responses and an assistant who actually feels intelligent. For Apple, though, this is a much bigger play. It’s a calculated bet that owning the experience, the interface, the way you interact with your device, matters far more than owning the intelligence powering it behind the scenes. 



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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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