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Canva’s new AI tool, launching today, is going to save time, money, and headaches for so many people. Called Magic Layers, it turns any flat bitmap image into a fully editable Canva project, extracting text, objects, and components into individual layers.This tool marks a fundamental shift in how we handle digital assets. Until now, a rendered image was basically a locked vault of pixels. If you wanted to change a typo or swap a background, you had four options: 1) Hunt down the original project file, 2) painstakingly change it in Photoshop, 3) accept a generative AI patch job, or 4) close the laptop and escape to live a real life somewhere by a nice beach. Magic Layers shatters the vault. By reverse-engineering a flat picture into its constituent parts, Canva cofounder and Chief Product Officer Cameron Adams tells me, Magic Layers empowers users to resurrect and tweak any image they have on their hard drive.[Image: Canva]Canva uses many models from OpenAI, Anthropic, and other developers, but the secret sauce behind this new layering capability is its proprietary AI design model, which the company unveiled last October. Think of it not just as a random design and image generator, but as a model that understands the elements of design. It looks at a picture and sees its skeletal structuredistinguishing the foreground subjects from the background scenery, and recognizing typography as actual text rather than just colored shapes. When you feed it an image, whether it was spat out by an AI prompt or dragged from an old folder, it dissects those elements perfectly. The new Canva multilayer tool is the implementation of those abilities.Most AI outputs are fixed, really flat things, and they’re not easy to edit. You either have to, like, live with an 80% solution or you have to spend time reprompting, trying to get that little bit of the image that you wanted to get fixed,” Adams says. But now, he adds, the model identifies everything in the frame and converts it into native Canva objects.So text isn’t just a cutout anymore. It becomes a live, editable text box. You can correct spelling errors, swap the font, adjust the size, or even translate the copy for international markets. The same goes for visual objects. Once separated, elements like a product bottle or a butterfly become completely independent actors on the canvas. You can move them, resize them, change their color, or banish them from the composition entirely without leaving a gaping hole behind, Adams explains.And since these extracted layers are treated exactly like standard Canva design elements, you can apply all of the platform’s existing tools to them, including upscaling or generative tweaks like Magic Edit. That’s the beauty of it, that it’s now a proper Canva design. So you can change any of those elements in any way,” Adams says. Because Canva operates in the cloud, this newly resurrected file is immediately ready for multiplayer collaboration. You and your team can jump into the project simultaneously and start moving things around. [Image: Canva]Its getting better all the timeThere is an interesting parallel here with Adobes recent launch of a new AI assistant for its web and mobile Photoshop apps. Both companies are trying to fix the fundamental flaw of current generative AI models like Google’s Nano Banana.When you ask a standard AI to remove a single item from a picture, the machine recalculates the whole picture from scratch, inevitably introducing random errors or hallucinations. Adobe tackles this problem by allowing users to point at or draw around an object. The AI then places these modifications on independent, clear overlays suspended above the base image, preserving the underlying raw pixels flawlessly. While Adobe’s method builds new, highly controlled editsincluding texton top of an existing foundation to guarantee precision, Canva’s Magic Layers takes the opposite route: It dismantles the foundation itself, breaking the flat image apart into discrete, fully interactive components.While these tools from both companies do, indeed, appear to be magical, to me they feel like features that are not going to stick around for too long. Theyre more like patches that solve generative AIs current problems with output uncertainty.Once engines like Nano Banana or Seedream can nail down every pixel, every text and typography, every single human, animal, tree, pair of jeans, or shampoo bottle everand it will happenwe will no longer be worrying about things being in layers. Objects, type, and components will simply exist in the reality of the image; the models will understand them just like humans do, allowing users to change anything they want instantly, and with precision. Everything will be liquid for you to touch and change. Software will follow your exacting and most complicated whims with perfection. But for now, Magic Layers is going to solve a lot of problems for a lot of people and companies all around the world.
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E-Commerce
Each year, some of Americas greatest artists, thinkers, and business leaders have a chance to come together at SXSW in the spirit of creativity, innovation, and future-building. And with everything currently happening in technology and the workforce, this years gathering feels particularly timely. Of course, questions around AI will take center stage and remain our primary cultural fixation: How long until the next incredible breakthrough? Should Americans be fearful about an impending AI apocalypse or hopeful about the prospect of unlimited productivity gains? These topics are all valid, urgent, and deeply worthwhile to explore, but I also believe the most important workforce story unfolding in the U.S. today is less about what AI will do next, and more about what everyday Americans are doing right now in response to and in preparation for AIs growing impacts. If technological advancement is going to keep accelerating faster than our institutions can or are willing to adapt, the fact that workers have already begun adapting on their own in real time is a story of deep-rooted resilience within our culture and communities. It is also a story that seems to be signaling a pragmatic and optimistic reimagining of the American Dream. WORKFORCE DISRUPTION IS WELL UNDERWAY The speed of AI advancement is likely to continue to be astonishing. Although we can neither predict nor control the pace of innovation, we can acknowledge that AI is no longer a hypothetical but an economic force reshaping job security, hiring, and career planning. We also need to understand that while AI adoption has added pressure, workforce fragility in the U.S. was deepening long before generative models like ChatGPT entered the picture. Education costs have been compounding at an unhealthy rate in America for nearly half a century, with rising tuition costs significantly outpacing inflation since the 1980s. Meanwhile, the countrys student debt crisis also continues deepening, with total student loan debt in the U.S. exceeding $1.7 trillion in 2024, all while broader confidence in traditional education and career pathways has been gradually eroding. AI isnt causing workforce uncertainty but merely adding weight on top of existing cracks in the system. To focus solely on predicting the pace and extent of AI-driven job loss misses the real story: U.S. workers are already adapting, and its a process involving a bold reimagining of American values and stability. AMERICANS ARE CHOOSING DURABILITY Despite so much uncertainty, Americans dont appear to be giving in to fear as much as theyre leaning into resilience and practical decision-making. There are some strong cultural signals indicating a radical shift in the U.S. workforces strategic mindset, particularly in evolving views around traditional education and career pathways in this AI age. More specifically, a new survey of American workers we conducted at the Business For Good Foundation via the Harris Poll revealed a clear and widespread departure from most conventional ways of thinking about professional and economic fulfillment. For example, 75% of Americans shared that their views of a good job does not look the same now as five years ago, while 80% agreed more people are choosing trade training over four-year degree programs. Similarly, more than 78% said they believe long-lasting social and cultural stigmas around blue-collar work are beginning to dissipate in the U.S., with 76% saying they believe trade jobs are less likely to be replaced by AI. Rather than fearing widespread job loss and sustained unemployment, Americans are envisioning a future workforce defined by durability, where the workforces economic value is concentrated less in white-collar sectors and more by the durable, hands-on skills that have always played an indispensable role. It suggests an overall mood of pragmatic optimism, with Americans appearing to adjust to AI adoption much faster than our political and educational systems. GET AHEAD OF CHANGE While everyday Americans seem eager to get ahead of AIs inevitable changes, this likely wont happen at scale without the appropriate support from organizations and U.S. business leaders. Recognizing this heightened need for more hands-on programs to increase access to skilled trade training, we at the Business for Good Foundation committed $100,000 to advancing workforce development in the first half of 2026. Of course, this will also require strategy and coordination, grounded in shared recognition that this shift away from traditional white-collar pathways is not an error but a process of economic regeneration. The growing emphasis on hands-on trades is not nostalgia, but necessary to strengthen the U.S. innovation infrastructure. Skilled work continues to underpin all non-negotiable aspects of American society, including access to housing and healthcare. At the same time, U.S. business owners are grappling with critical, pre-existing skilled labor shortages, meaning theyll increasingly need to depend on talent pipelines beyond traditional degree models. One recent example of what weve done at the Business for Good Foundation is a New York Capital Region pilot. As part of our commitment to workforce development, the foundation awarded a $25,000 grant to the Social Enterprise and Training (SEAT) Center to expand trade skills programming in the region and help bridge the gap between untapped talent and industry demand. Ive seen firsthand that simple, practical investments like in the SEAT Centerthose that better align workforce pathways with employer needs and expand access to education and career opportunities for motivated talent in underserved communitiescan go a long way toward creating a real and sustainable path to upward economic mobility. Im encouraging leaders across the country to take similar action, at any scale. However, such a model will largely remain limited without other like-minded business leaders and philanthropists willing to build on and replicate it at scale, and who are prepared to fully embrace a new American dream defined less by credentials and more by individual capabilities, determination, and human resilience. While this kind of change certainly wont happen overnight, I hope that those of us who attend SXSW this week might begin aligning our business priorities with the unique spirit of this event, working together to intentionally build a brighter, more prosperous, and innovative future for the U.S. workforce. Ed Mitzen is cofounder of Business for Good Foundation.
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E-Commerce
Apples iOS 26 for iPhone got off to a rough start when it was finally released to the public in September of last year. Its new Liquid Glass design language remained unpolished in many areas, and the operating system harbored a fair amount of bugs. But since iOS 26.0 debuted, Apple has released three major updates for it, further polishing the interface and adding new features. And soon, Apple will update iOS 26 once again with the release of iOS 26.4. Its a release that is set to not just eliminate bugs and enhance the details of Liquid Glass, but is also set to add some significant new features to your iPhone. Heres whats coming, and when you can get iOS 26.4. What new features are coming to iOS 26.4? Apple has been beta testing iOS 26.4 since last month. Originally, the software update was rumored to include the companys revamped Siri, powered by Googles Gemini LLM. However, Siris AI revamp has been absent from all iOS 26.4 betas to date, so it looks like a truly useful Apple digital assistant is still a ways away. But that doesnt mean iOS 26.4 doesnt have any new features. Quite the contrary. Besides your normal user interface polishes and bug fixes, iOS 26.4 is set to include some major upgrades to its media apps, notes 9to5Mac. Those upgrades include: AI-powered music playlist creation: iOS 26.4 will add a feature to the Music app called Playlist Playground. The feature allows you to generate music playlists from natural-language text descriptions. So you could instruct the Playlist Playground feature to make a playlist of 80s rock ballads under five minutes long, and the Music app will generate a playlist based on your prompt. Podcasts app video overhaul: Apples Podcasts app has supported video podcasts for some time. But in iOS 26.4, its video capabilities are getting a major upgrade. Now you can quickly switch between the audio and video versions of a podcast. This feature will be great for those times when you are watching a video podcast, but then suddenly need to be on the movesoon youll be able to easily switch to the audio version of the podcast, ensuring you can still enjoy it when your eyes are needed on other things. Redesigned album and playlist interface: Also in the Music app, Apple has redesigned the look of the interface that you see when displaying playlists or albums in full screen. In iOS 26.4, the Music app will now tint the entire screen based on the album art color scheme, giving each playlist and album its own unique look. And thats not all: iOS 26.4 will add numerous small refinements and additions across the operating system, including new emojis, new Ambient Music widgets for your Home Screen, automatic activation of Stolen Device Protection, and more. iOS 26.4 beta: Download it now While Apple hasnt released iOS 26.4 to the general public yet, it has released four betas of the software to developers and public beta testers. And if you are in any of those two groups, you can download the latest beta of iOS 26.4 onto your iPhone today. To download the developer beta, youll need to be a member of the Apple Developer Program. If youre not a developer, but still want to try out the new software early, you can join the Apple Beta Software Program for free and get access to public betasincluding the iOS 26.4 betatoday. Of course, the usual warning applies: betas are buggy, and in rare cases, they can cause data loss or otherwise harm your phone. So always proceed with caution if you decide to download a beta. iOS 26.4 final release: Download it later this month If a beta isnt your thing, youll have to wait until Apple releases the final version of iOS 26.4 to the public. Thankfully, you probably wont have to wait too much longer. Apple generally has a 5-6 beta development cycle for iOS point upgrades like iOS 26.4. Apple released the first iOS 26.4 beta in mid-February, which means the final public version of the beta is highly likely to be released between mid-March and the end of the month. Once Apple releases the final version of the software, youll be able to download iOS 26.4 right to your iPhone using the devices Software Update feature in the Settings app.
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E-Commerce
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