Os developers já vão poder experimentar a Siri AI a partir de hoje, com a mais recente versão da assistente a chegar mais tarde ao público. No entanto, por enquanto, a nova Siri não vai chegar nem à União Europeia nem à China.
The post WWDC 2026: Siri AI estreia-se no iOS 27 com integração mais profunda no ecossistema da Apple appeared first on Tek Notícias.
Everybody is watching to see what comes from Apple at its annual Worldwide Developer Conference (WWDC) today. There’s a great deal at stake, as when it comes to artificial intelligence (AI) today’s event represents an existentially important moment for the company.
Apple execs absolutely must convince developers, industry watchers, users — all of us — that it has learned from its well-publicized mistakes of the past two years and put together a serious proposition for AI across its platforms.
Right now, we think Apple intends to offer a hybrid of its own self-developed AI tools and services combined with others made with Google Gemini — all supported by an open approach to using AI services from third-party providers such as Anthropic or OpenAI.
When it comes to implementation, this should mean a contextually sensitive Siri that can respond to what you have on the screen of your device, or in the viewfinder of your camera app. The idea here is that you’ll be able to do contextual tasks like book restaurants or send a message to your granny, translate a sign, or even navigate around a room. More than this, you should also be able to combine tasks giving Siri complex — agentic AI — tasks it can then transact on your behalf.
Many of these functions will take place on device. Some will rely on Apple’s own fleet of Private Cloud Compute servers, supported by additional capacity from Google and Nvidia. When Apple Intelligence/Google Gemini can’t accomplish a task, you’ll be able to request that another service handle it on your behalf outside Apple’s managed garden. Siri itself will also gain a brand new interface.
As discussed here, developers expect Apple will make access to many of its new Apple Intelligence APIs available to them. This will let them deploy useful functionality in their apps at no charge, in part because the intelligence takes place on the device.
It will also be possible for developers to permit their apps to run without being opened, which means a user should be able to ask Siri to do complex tasks that also include functionality from their apps. During this past weekend, we were warned that some or all of the new Siri functionality might be introduced on a staggered basis using a waiting list.
Apple has come a long way since that tense meeting in early 2025 when the company’s senior leadership established a new approach to AI. With Apple CEO Tim Cook taking an uncharacteristic interest in driving his teams to pull their act together, Apple developed a new, partnership-based approach to try to recapture lost ground.
Has Apple finally regained the initiative?
To a great extent, that will be the big focus across the industry once the company tells us what it’s done. Cook’s final WWDC as CEO sees a company at the absolute top of its game in so many ways, including soaring Mac sales. But to some extent he will be judged on how successfully Apple’s AI pivot comes across.
Weekend analyst notes summed it up, with bears and bulls tossing insights along. In one camp, you’ll find the true believers who argue that if Apple does come to us with something convincing, it has a chance to absolutely dominate consumer AI. “Siri/Apple Intelligence 2.0 has the potential to become the ultimate AI resource offload and deliver a form of Agentic AI to the consumer at a lower cost than incumbents,” said Morgan Stanley analyst Eric Woodring.
Cynics, however, warn that Apple really must demonstrate the kind of contextual, agentic AI it first announced (and failed to ship) two years ago; they want a chatbot with muscle, and will see right through any attempt to place a PR veneer over something weaker than what others already provide. If Apple fails to deliver on this, it can expect its stock to be utterly savaged over the next few days, though some analysts believe that Apple’s previous missteps mean the damage is already priced in.
Ultimately, of course, in addition to convincing industry watchers, Apple will need to find a way to deliver the kind of AI power consumers have been told to expect — while also protecting privacy. If it does get that right, particularly if it truly exploits its powerful hardware to ensure the most common tasks take place directly on the device, it has a major opportunity to deliver a form of Agentic AI at a lower cost than incumbents can. And it can do so while leaving the core AI bubble to burst as and when it will.
Will Apple succeed? We’ll know in a few hours, when you should check back for first takeaways on what Apple has to share. Join me on the Core for the headline summaries.
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As we lean into WWDC, three strategically brilliant Apple moves have been exposed in the last couple of weeks, two of which will have immense consequences in the coming year, while one sets the scene for essential future growth.
In each case, Apple’s leadership has found counter-intuitive gambits that actually secure the company’s future. Let’s start with Vision Pro.
News this week is that incoming CEO John Ternus has made some tough decisions around Apple’s approach to spatial computing, terminating development of Vision Pro (even as leaked images of a black model emerge) while focusing R&D on two smart glasses projects to compete with Meta.
The intention is to introduce XR and AR glasses priced at around $300 to $500 each. While not as richly-featured as the Vision Pro, they will be within the reach of more people and draw deeply on the huge R&D effort that went into the original Apple AR visors. Apple hopes a focus on trust and privacy will be enough to push Meta aside, helping Cupertino dominate this part of the category. If that plan succeeds, don’t be at all surprised to see plans for Vision Pro 2 return to the table, though that’s not the focus now.
Apple frequently described the Vision Pro as a product “pulled from the future,” a device for enterprise users and early adopters. For many such users, the existing product will be useful in their work for time to come.
What’s strategically solid about this is that Apple has now defined a good future for spatial computing and is bringing components of that future to the mass market on the basis of a provable technology you can already try for yourself in any Apple Store. This is a long game, and while it will take time to play out, it’s a game the company has proved it can join.
Apple has apparently chosen to use Nvidia and Google technologies to support at least some of the Apple Intelligence/Siri improvements to be announced at WWDC next week. This seems to fly against the company’s general approach to privacy on its platforms, with the silicon, operating system and — thanks to Private Cloud Compute — the cloud all in its control.
How, you might ask, can Apple ensure privacy when using third-party infrastructure to manage some AI transactions? How can it do so without damaging its trusted brand?
One direction that makes sense is to consider that Apple and its partners have reached consensus on what privacy should be and how it should be delivered. That’s a very important consensus, as it suggests Apple is building an approach that makes privacy an attestable standard.
The company has been pushing governments for years to agree to such standards, but all it seems to have had in return are continued government attempts to erode personal privacy. That’s particularly evident in the UK government’s egregious move to undermine encryption to the detriment of all. (The UK isn’t really alone in preferring surveillance above liberty.)
Android developer Google has had the same experience, and while its approach to privacy differs from Apple, both companies understand the need for encryption. As such, any form of consensus on some form of privacy standards is welcome — and while I’d very much prefer an enforceable, verifiable approach, some industry agreement has to be better than nothing at all.
While I don’t believe Apple’s approach to privacy in the new breed Siri/Apple Intelligence will be introduced in this way at WWDC, it will be interesting to see what does emerge from the new tech triptych (Apple, Google, Nvidia) in the coming months. Certainly, all three have a great interest in guarding encryption against Quantum attacks for which hidden backdoors would be easy pickings.
Apple has won the PC war.
That last point needs explanation: Apple’s entry-level MacBook Neo also has just 8GB RAM, but it also has custom-designed Apple processors and an operating system optimized to run on the hardware. That means those Macs use memory far more efficiently than their competitors.
So, you can pick up some mass market Windows laptops for $800 that hold just 8GB memory, or spend $699 for a MacBook Neo with double amount and that can also run Windows in VM extremely well.
Component prices are not going to shrink back for a while, any more than further magical thinking is going to end the war in Iran. At this point in the cycle, Apple has the PC market advantage. Millions are purchasing its entry-level Mac and the vast majority of those new users will love the platform, as new users usually do. That’s going to lead to a spike in Apple services sign-ups, and prompt solid future upgrade and accessory sales cycles.
Apple accomplished this by selling a low-cost Mac at a time when competitors face existential problems maintaining their grip on the mid-range market. The longer Apple holds prices on the device, the greater the advantage it builds, while applying huge pressure on PC competitors.
With the Mac hitting its iPod moment as it achieves mass market sales, Apple finally seeing something like progress in its attempt to secure privacy in a digital age, and a strong position from which to grow in the wearables market, the company has played a fine hand.
That’s even before it introduces us to its improved Apple Intelligence, and an era of AI access in which many everyday tasks take place token free directly on the device. Indeed, when it comes to AI, if it gets things right at WWDC, Apple appears to be making money, while AI competitors are bleeding financial oxygen as their inflated bubble heads to its inevitable demise. What about the enterprise? Take a look at this chart.
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Apple’s latest Safari privacy campaign is more than pre-WWDC marketing. It is an early signal of how the company plans to frame artificial intelligence (AI): as something that only works if users trust the platform behind it.
The week before WWDC is often significant, as Apple tends to make announcements it simply can’t fit into the keynote itself. This year’s first pre-show reveal is a new campaign focused on privacy that shows how much more private Safari is than rival browsers; there’s even a highly entertaining video that makes the point.
Apple has been building privacy protections into Safari for years. The browser protects you from malicious scripts that might attempt to access passwords or credit card information. Safari also tells you what data an extension wants to access and can restrict access to match your settings. It blocks third-party cookies by default, detects and removes trackers, and has measures in place to prevent data companies from identifying — and following — you through device characteristics.
That’s even before Apple’s powerful Private Browsing mode, which includes meaningful protections. The company has put together a page packed with resources to explain the privacy protections it has in place across its platforms.
Privacy is critical to Apple — not only because the company regards it as a human right, but because it correctly recognizes that to make new generations of sensor-laden technologies it must ensure privacy is protected. Without privacy and trust, people won’t use the technology.
The truth is that people are becoming increasingly concerned about how the digital devices we depend on for convenience are now being used for different kinds of surveillance, and we need to be convinced that our personal data is protected. We do not want every aspect of our life to become fodder to feed a digital dystopia, even as we still want the positive solutions technology promises.
Think about the Apple Watch. Consider the data it gathers: distance walked, calories burned, and more — it’s a rich trove of personally identifiable data that no one really wants to share with others without consent. Apple Watch is not the only Apple device that is gathering information, even your web browser captures a great deal of it. Hence, the focus on Safari in Apple’s new campaign.
Privacy will become an even greater concern as AI spreads. Data brokering services already make extensive use of AI to analyze and identify patterns in the online data they harvest. AI deployed without strong privacy protections poses serious risks to the way we live, while the consolidation of AI ownership in the hands of a few companies risks creating dangerous imbalances of power. That’s the context in which private data needs to be protected, making privacy an essential component of a positive tech-augmented future.
Apple’s focus on privacy is far from new; it has been consistent in this work for many years. Competitors often accuse Apple of hypocrisy, but the company has been arguing for privacy’s importance for more than a decade. Others have adopted some of the same principles, though not all of them — and while Apple may sometimes use privacy as a moat for its own products and services, that does not diminish its value.
It’s with all this in mind that I consider Apple’s latest privacy ad campaign and its rollout just before WWDC, where it is expected to introduce new AI services. That Apple’s new privacy campaign seems not to have made the final cut for the show tells me the company has much more to discuss on the topic, particularly around Apple Intelligence.
When Apple introduces its new AI features at WWDC it will do so while celebrating the privacy built into them. The current privacy ad campaign will be part of an overall push as the company explains that its ecosystem can run third-party AI services while also offering its own bespoke Apple Intelligence AI to do really useful things in complete privacy.
This isn’t just a competitive moat, it’s a realistic assessment in practice. It shows that Apple understands that in the age of AI, privacy matters more than ever. As AI becomes central to everyday digital experiences, privacy is no longer optional — and Apple is prepared to make the case to support it.
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Apple will open the doors to developers at its Worldwide Developer Conference (WWDC) next week. Beyond a big push on AI and new OSes focused on stability and performance, what should developers expect? Mostly it’s about new APIs, Foundation Models, and App Intents; here’s what I’ve been able to figure out so far.
Apple has been building new Apple Intelligence APIs. One way it is achieving this is to take models made with Google Gemini, then distill and shrink them to fit inside (and run on) its devices. The progression will be to introduce these as a new crop of Foundation models developers can use in their apps. There’s more:
Apple continues on its quest to convince developers to make features of their apps available for use via Siri with App Intents. Doing so requires developers to wrap their apps into semantic structures, enabling speech/text-based interaction. To help them achieve this, Apple is expected to introduce a complete redesign of its App Intents framework.
While users must say “Hey Siri” to invoke its attention today, the assistant will respond more dynamically to natural language. Combined with App Intents, that means users should be able to ask Siri to use a combination of apps to make things happen on the device.
A developer might build a travel app that can take an itinerary and hand it across to a budgeting tool, for example. The idea is that with a spoken or typed command, a person will be able to call on a collection of apps to identify the destination, create an itinerary, put together a to-do list, prepare relevant letters or emails, and assemble a budget — all invoked by the original command.
We’re expecting Siri to become better at using the content of your screen, location, and other personal data as it seeks to provide more contextualized responses. We don’t yet know the extent or form in which Apple will make that information available to third-party developers to help contextualize their own apps. Apple’s focus on privacy matters a great deal, as does its relationship with regulators, some of whom will demand that data made available to Apple’s own apps be made available to third-party apps. These are important matters for Apple, app developers, and customers who want the convenience of AI without loss of privacy.
Swift should get better at migrating legacy code, but the big speculation around it concerns Liquid Glass. Will Swift make it easier for developers to build consistent user interfaces that work properly across all Apple’s platforms? If it does, then it will help overcome one of the big criticisms of Apple’s liquid-inspired UI. Swift will also usher in the tools developers need to support agentic application coding.
Vibe coding is everywhere, including within Xcode, which is expected to gain improved contextual and predictive understanding to help boost developer productivity. Xcode could also introduce improved real-time architectural debugging hints, aiming to make it easier for developers to build bug-free apps.
All the AI enhancements made available across Apple’s other products will also be offered to visionOS. That access takes the headset another step closer to becoming the Mac you wear like sunglasses.
Apple will abandon Intel support in macOS 27, which means developers will likely end support for legacy Intel applications in response.
Once the lights go down on WWDC, Apple’s real test will be to see if its announcements help make AI useful, private, and affordable to developers and their customers. After all, if Apple gets AI right on a platform basis, it should be able to offer the kind of on-device intelligence no one else can match, at no charge to developers or users — a move that might yet kick-start AI innovation across its platforms. This will provide a moat around the Apple ecosystem, inside which developers can explore new potentials for AI to give customers the tools they need at costs they can afford.
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I will sit right down (waiting for the gift of sound and vision)
And I will sing (waiting for the gift of sound and vision)
— David Bowie
Apple is planning to sponsor and present 14 AI research papers at the annual IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) in Denver next week, just days before it introduces major new AI features at its Worldwide Developer Conference (WWDC).
The fresh research explores topics such as using LLMs in image generation, quality testing, and user interface prototyping. For months, supply chain rumors have hinted at a radical evolution for the ubiquitous AirPods in the form of built-in ambient cameras. With this in mind, it’s noteworthy that one of the research papers, “From Where Things Are to What They’re For: Benchmarking Spatial–Functional Intelligence for Multimodal LLMs,” specifically seems to cater for such use cases.
In application, this tech promises profound potential for accessibility. It suggests that someone with limited vision might be able to get their AirPods to guide them through an unfamiliar room. This is something that should fit well inside the company’s ongoing narrative around machine vision intelligence and accessibility.
Accessibility is central to a second presentation to be made during the Generative AI for Sign Language Workshop at the conference. Led by Apple’s Colin Lea, who presented a session on speech tech for people with speech disabilities at a similar event, this focus on machine vision intelligence and accessibility is entirely deliberate.
Indeed, even though the industry and critics condemn Apple for lagging behind others in the AI space, the publication of these 14 papers at a key industry session just before WWDC shows the company has been doing a great deal of foundational work behind the scenes. We expect this work to bear its first fruit at WWDC, and it is important to understand the disclosures as a power move. Apple is using the show to celebrate its strengths in AI development, and given its decade work on Apple Car, many of those strengths relate to machine vision intelligence.
Apple is so advanced in the field it is already deploying advanced models that empower consumers. Just last week, it promised to introduce a new tool called Image Explorer in VoiceOver to help partially sighted customers later this year. Among many other features, this will arrive alongside a system to let disabled users control compatible wheelchairs with spoken word commands.
Apple is pushing boundaries all the way. Its paper “VSAS-Bench: Real-Time Evaluation of Visual Streaming Assistant Models,” proves it is actively refining models to process live video instantly on consumer hardware.
The difference between Apple and its competitors is deep and philosophical. I’d argue that while others build cloud-dependent chatbots, Apple is embedding AI tools that solve real human problems in its systems.
This extends to its plans at WWDC, where it will introduce a raft of AI tools made with help from Google Gemini and a host of AI services it has developed in house. The latter will include a great many accessibility tools of the type it will discuss at the CVPR event, the beauty of which being that they will run privately and on-device. You could argue that while other tech giants are using AI to automate white-collar jobs or build a surveillance dystopia, Apple is searching for applications of machine intelligence that solve real human problems.
The company seems pretty realistic about the ongoing AI transformation. It recognizes that its own ecosystem must become a peer player in the emerging AI-augmented environment the tech industry seems intent on building.
With that in mind, Apple is willing to engage in strategic, mutually beneficial partnerships, such as permitting Siri to use third-party AI services to handle requests. But even as it does that, it is also focusing on those areas in which it can make a unique difference, such as the accessibility features Apple as a platform has always provided.
As the Vision Pro demonstrated, and as these mythical video-enabled AirPods will in the future suggest, computers are steadily getting smarter. So, the way we use them is also changing as we move away from the rigid boundaries of keyboards, mice, and touchscreens. Apple’s quest for ambient computing began long before the sudden gold rush for generative AI chatbots.
In the end, as the latter services become commodified, the way humans interact with them will define the next generation of hardware. That’s exciting for Apple, given that product design is where it excels. The era of sound and vision may finally have arrived.
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