WWDC 2026
For enterprise organizations, Apple’s annual Worldwide Developers Conference (WWDC) is more than a product announcement event. It provides an early look at the technologies, frameworks, and platform changes that will shape mobile experiences, application development, AI adoption, and digital strategy over the coming year. This year’s keynote focused heavily on performance, developer tooling, and Apple Intelligence, offering insights into where Apple sees the future of on-device AI and application development heading.
It’s that time of year again: Apple’s Worldwide Developers Conference (WWDC) keynote. Wow, that’s a mouthful. Anyway, let’s go through some of the announcements from the keynote.
Performance Improvements
One of the first topics introduced was a slew of performance improvements across a variety of priorities. App starts now average 30% faster. Photos taken now load 70% faster in the Photos app. These are just a few of the top items from a wide range of performance improvements made, all in an effort to eke out more room for the broad Apple Intelligence push.
But we’ll get to that later.
Liquid… Glass
Liquid Glass has been overhauled to allow users to further customize opacity levels. So yes, if you don’t like Liquid Glass, you can almost turn it off.
Naysayers rejoice.
OS 27 Availability
Another item announced this year is that OS 27 will be available on the same devices as OS 26.
While this may not sound like much, it means the typical new feature cycle many developers are used to is cut short. To explain, most app developers target a Current OS – 2 bracket of operating systems to support. For example, if the current OS is 26, then we target support for OS 26, 18, and 17. This helps support as many devices as possible while still taking advantage of newer features and quality-of-life improvements.
Maintaining the same hardware support window potentially changes how developers plan upgrades and feature adoption moving forward.
Shared Photo Albums Support
In a remarkable display of chivalry, Shared Photo Albums now support Windows and Android devices, including full-resolution image sharing.
While I’m not sure what sparked this update, I’m here for it.
I daily-drive a Linux computer when I’m not doing iOS development, and having better Android and Windows support inevitably improves my experience as well.
Trust & Safety Updates
There has been a whole slew of updates focused on trust and safety, along with new APIs that allow developers to ensure content is appropriate for the user of the device. Apple also introduced additional parental control capabilities.
Some of these updates appear to be driven by Texas Senate Bill 2420, which I have concerns about due to the lack of exemptions for FOSS, but that is probably a separate, unhinged personal blog.
Ultimately, age verification is now becoming a hard and fast requirement.
Apple Intelligence
Now for the topic everyone is probably here for.
Apple has once again made promises around a new and improved Siri powered by AI. I haven’t quite figured out what makes this different from the promises they made last year about the new and improved Siri… or the year before that either.
Anyway: new Siri + AI.
Siri, but with Apple Intelligence.
There’s a new dedicated Siri app (ChatGPT, but you know… Siri), along with a new Visual Intelligence capability that allows Siri to understand what’s currently on screen and use that context in responses.
Safari and Shortcuts also gain a “Describe a Thing” capability. Users can describe functionality in natural language and Safari will generate an extension while Shortcuts can generate actions.
I’m actually pretty excited about this one.
Shortcuts actions are incredibly powerful but can be clunky to configure manually. This feels like a meaningful usability improvement, and I’ll definitely be spending some time experimenting with it.
Another feature that caught my attention is Image Playground’s new photorealistic mode.
Apple has also introduced Spatial Reframing, a tool that can modify existing photographs to improve composition and framing after the fact. I’m not a photographer, but I can easily see how this could become a valuable tool for everyday users and content creators alike.
One thing I want to commend Apple for is its preference for on-device models before reaching out to cloud services. As a home inference server fanatic, this validates a line of thinking I’ve had for a while. It simply makes more sense on mobile devices whenever possible.
I also suspect many of the previously mentioned performance improvements are intended to create the headroom necessary for increased on-device inference workloads.
Developer AI
Now for the truly exciting stuff.
Xcode is receiving a major facelift with expanded agentic capabilities, plugins, auto-localization features, and visibility into simulators.
This could usher in a very interesting new era of software development, provided you have the tokens to spare.
The other announcement I’m particularly excited about is the new CoreAI framework. This framework allows developers to bring in models beyond Apple’s own ecosystem and run them directly on-device.
That opens up some fascinating possibilities for organizations building AI-enabled applications while maintaining greater control over performance, privacy, and user experiences.
My Thoughts
This was an interesting keynote.
There were solid improvements across the board, but outside of that incredibly cringe Golden Gate release announcement, it felt like a relatively safe year for Apple.
The performance enhancements, developer tooling improvements, and continued investment in on-device AI are all welcome additions. More importantly, many of the announcements felt foundational rather than revolutionary. Apple appears to be laying infrastructure for where it wants AI-powered experiences to go rather than attempting to force dramatic changes all at once.
It will be interesting to see whether this year’s investments become the springboard for larger innovations in future releases.
For now, developers get meaningful quality-of-life improvements, enterprises gain additional flexibility around AI deployment and privacy, and everyone can collectively breathe a sigh of relief that Liquid Glass 2 was not on the docket.
As organizations evaluate the impact of AI, mobile platform evolution, and emerging development frameworks, understanding how technology shifts translate into business outcomes becomes increasingly important. At RBA, we help organizations assess new technologies, modernize digital experiences, and build practical AI strategies that balance innovation, performance, governance, and user needs. Whether you’re exploring AI-enabled applications, digital experience modernization, or enterprise development strategy, our team can help turn emerging technology trends into measurable business value.
About the Author
Robby Sarvis
Senior Software Engineer
Robby is a full-stack developer at RBA with a deep passion for crafting mobile applications and enhancing user experiences. With a robust skill set that encompasses both front-end and back-end development, Robby is dedicated to leveraging technology to create solutions that exceed client expectations.
Residing in a small town in Texas, Robby enjoys a balanced life that includes his wife, children, and their charming dogs.