Technologies
I Was Wrong About Workout Buddy, Apple’s AI Coaching Vision Is Just Getting Started
I tested Apple’s new WatchOS 26 feature and spoke with the team behind it. It’s not a full-blown coach yet, but it hints at where Apple may be heading with its AI health strategy.
I wasn’t exactly sold on the idea of having a «buddy» cheering me on during a workout when Apple first announced its Workout Buddy feature in WatchOS 26. The workout partner I had in mind was more of a no-nonsense trainer; someone to push me out of my comfort zone and into peak performance. Apple’s version, instead, is an AI-powered voice that dishes out praise as you run (or as you do any number of activities). But after testing it myself and talking in-depth with Apple about how it works, I’m starting to think the company undersold it on purpose. Workout Buddy is much more than just a hype man, and it represents a crucial turning point in Apple’s health journey.
Workout Buddy turns your Apple Watch into a friendly voice that lauds your achievements during workouts. The WatchOS 26 feature isn’t a full-blown fitness coach that can guide your training plan, but that doesn’t mean Apple isn’t headed there. In fact, Workout Buddy may be the clearest signal yet that Apple is laying the groundwork for something much bigger in terms of fitness tools and AI.
At a time when investors and enthusiasts are critical about the company’s AI efforts, especially compared to competitors like Samsung and Google, Apple has a chance with Workout Buddy to show how its approach is different in a meaningful way. After the lukewarm debut of Apple Intelligence on the iPhone, Workout Buddy is the first time we’re seeing what Apple can do with AI on the watch.
The public beta version of WatchOS 26 is out. I recently tested Workout Buddy in the developer beta of WatchOS 26 and was genuinely surprised by how it made me feel after a walk. I spoke with Jay Blahnik, Apple’s vice president of fitness technologies, and Deidre Caldbeck, senior director of Apple Watch product marketing, to get more clarity around the feature, and unpack the tech and philosophy behind it. And the sense that I got from them is that Apple’s marathon toward personalized, intelligent coaching is only getting started.
Don’t call it a coach… yet
When Apple introduced Workout Buddy at WWDC in June, many Apple Watch fans (including myself) were quick to critique Workout Buddy for being more of a hype man/woman, than a trainer. Compared to competitors such as Fitbit, Garmin and recently Samsung, all of which already offer some form of AI-powered adaptive coaching plan, Workout Buddy with its real-time feedback is more like a cheerleader than a strategist.
It’s easy to overlook what Apple set in motion, by focusing on what Workout Buddy isn’t. The feature is designed to be a motivating presence during your workout, not a drill sergeant. It delivers contextual, personalized encouragement that’s dynamically generated in real time across eight supported workout types: indoor/outdoor walks and runs, outdoor cycling, HIIT, Functional Strength Training and Traditional Strength Training.
«We didn’t want it to be just a pro tool,» Blahnik told me. «We wanted it to be accessible to as many people as possible.»
Workout Buddy requires you wear headphones. I’m a no-frills runner, who’d rather use 2 extra minutes to work out than spend them searching for a headset and choosing the perfect playlist (WatchOS 26 will soon take care of this too). So I wasn’t sold on the idea of using Workout Buddy rather than just tracking my regular pace and heart rate alerts on the wrist with my Apple Watch. And while I’m still not fully onboard with the whole audio gear requirement, I didn’t mind having the Workout Buddy version of my alerts in my ear reminding me that I’d reached my cruising range (that is, my target training zone).
When I launched my first walk workout, I toggled Workout Buddy on and was greeted with a quick summary of my week so far. «This is your fourth walk this week,» it reminded me, and framed it in the context of how close I was to closing my rings. It wasn’t groundbreaking, but it was surprisingly helpful to have that context delivered in a conversational tone, rather than buried in a graph somewhere.
«It’s not a coach, but it is designed to take your data and try to deliver it to you at the right time,» explained Blahnik, «in a way that inspires you and doesn’t get in the way.»
My Workout Buddy did start to get a little too chatty though when I hit some hills during my walk and my heart rate started spiking. Because my HR was constantly teetering above and dipping below my target, the alerts were hitting my ear every few seconds. Luckily, you can tweak or disable HR alerts entirely for each individual workout. My personal sweet spot involved removing just the high HR alert.
A decade of sweat equity and a team of trainers
Workout Buddy was not just Apple’s whimsical creation made to prove that the company can do AI for health and workouts. It’s the result of a decade of fitness data, an inspiring team of Fitness Plus trainers, and the technical lift of Apple Intelligence, Caldbeck told me.
«This was such a great time for it to happen because three things came together,» Caldbeck said. «Ten years of sweat equity, your personal fitness data. Our Fitness Plus trainers. And Apple Intelligence, which gave us the technical capabilities to push it forward.»
I could feel all three in the final product. The voice I heard isn’t just some generic audio prompt, which is what I was used to from these types of features on other devices. It’s a generative model trained on the voices of 28 actual Fitness Plus trainers. The tone, energy, and phrasing feels intentional and personal.
«It’s not a recording,» Caldbeck emphasized. «There was no script. It’s generated in the moment using your workout data and the voice model, and it will sound different every time.»
When I first set up Workout Buddy on my Apple Watch Series 10, I was prompted to choose from one of three distinct voices. They weren’t the tough-love trainer I’d envisioned would whip me into the best shape of my life, but they did sound like someone I’d trust to help me get there. Authoritative, energetic and strangely human. A far cry from the telemarketer-style robo-coach voices I’ve encountered in other programs.
There was a moment when Workout Buddy tipped its hand as something being less than human. It came during a mile-mark check-in, right after I’d crested what I considered a steep hill. It reported my stats: «One mile in, 230 feet of elevation gain.» Then it paused and declared, «That’s a mild elevation gain!» The tone was so emphatic, you’d think I’d just scaled Everest. It wasn’t the message that stood out; it was the delivery. A real person would’ve said «mild» matter of factly. But this was delivered with such over-the-top cheer that it almost felt like sarcasm. But the mismatch between tone and achievement made it sound like my wrist was gently roasting me for doing the bare minimum.
Personalization, with privacy at the core
The personalization isn’t just about your data, it’s about how it’s delivered. Workout Buddy can adapt to your habits, preferences, and even time of day.
«There’s something really remarkable about knowing that whatever they’re saying is unique to that moment, and that you’re not just going to trigger that same sentence on your run again the next day, even if you’ve done the same thing,» said Blahnik.
At the end of the walk, Workout Buddy summarized my stats, distance and calories. And it shared one meaningful nugget: My walk was my fastest pace in four weeks. That hit me harder than I expected. I’ve been coming off a knee injury that’s kept me from running for five weeks, and hearing that small gain was the moment I realized I might be on the mend. It was the kind of contextual insight I’d usually have to dig out on my own, in this case surfaced in my ear without having to think about it.
Under the hood, Apple is balancing Workout Buddy’s intimacy with its long-standing privacy approach. The feature uses a combination of on-device processing (on both your watch and iPhone) and private cloud computation to generate responses in real time. None of your personal fitness data is shared externally.
«We know this is your most personal data,» said Caldbeck. «So we wanted to treat it appropriately, but still give you powerful insights.»
This cautious approach matters. Trust will be the foundation for any future health coaching Apple delivers through AI.
A vision that’s just at the starting line
While Workout Buddy is only available to those with Apple Intelligence-supported iPhones, all Apple Watch users will still benefit from other updates in WatchOS 26. The limitation isn’t about exclusivity, it’s about processing power. Generating real-time, personalized voice feedback requires the kind of on-device performance that current Apple Watch hardware alone can’t handle. At least not yet.
The Apple Watch’s Workout app has the biggest navigation overhaul since it launched in 2015. Core features like interval training and pace alerts, previously buried in menus, are now front and center. Media integration also improved, with dynamic Apple Music suggestions based on your typical workouts that will play as soon as you start your workout.
«We kept our focus on making these features as personal and easy to use as possible,» Blahnik said, «pushing the workout app further than it’s ever been.»
That framing, focused on simplicity, accessibility and personalization, is key to understanding Apple’s strategy. While other companies rush to launch full-blown AI fitness coaches, Apple is taking a more deliberate path: It’s building the infrastructure to handle your data and translate it into meaningful, real-time guidance.
Apple’s been here before with adding native sleep tracking to the Apple Watch. The company waited until it had a clinical reason and subsequently a trustworthy implementation with Sleep Apnea alerts, even while competitors had long offered basic sleep tracking features.
«We almost always start our features to be really welcoming and inclusive and simple to use. We think that there’s a really bright future for where this can go as well,» Blahnik told me.
Apple’s long game
Of course Apple will never tell us where its sights are set next, but you don’t have to be a rocket scientist to draw the connections of where this is all headed.
«When we think about the future, all the ways with which we can push this feature to be even more personalized, we think its really, really exciting,» Blahnik noted.
Workout Buddy may seem lightweight now, but it proves that real time data analysis is already a possibility on the Apple Watch, and it can deliver them in a way that feels motivating and deeply personal. More importantly, it’s testing the waters. It’s accessible, friendly, and non-threatening; something even a beginner might be inclined to use.
It’s setting the stage for what could be next: an AI-powered coach that helps you make sense of all your data beyond just the Workout app to help motivate you and lead you to build healthier habits that will lead to measurable improvements. If Apple plays this right, the long game may actually pay off. Because building trust, delivering real insights and meeting people where they are is how you win the marathon.
Technologies
Google races to put Gemini at the center of Android before Apple’s AI reboot
Google is using its latest Android rollout to position Gemini as the AI layer across phones, Chrome, laptops and cars.
Google is using its latest Android rollout to make Gemini less of a chatbot and more of an operating layer across the phone, browser, car and laptop, just weeks before Apple is expected to show its own Gemini-powered Apple Intelligence reboot at WWDC.
Ahead of its Google I/O developer conference next week, the company previewed a number of Android updates, including AI-powered app automation, a smarter version of Chrome on Android, new tools for creators, a redesigned Android Auto experience, and a sweeping set of new security features.
Alphabet is counting on Gemini to help Google compete directly with OpenAI and Anthropic in the market for artificial intelligence models and services, while also serving as the AI backbone across its expansive portfolio of products, including Android. Meanwhile, Gemini is powering part of Apple’s new AI strategy, giving Google a role in the iPhone maker’s reset even as it races to prove its own version of personal AI on the phone is further along.
Sameer Samat, who oversees Google’s Android ecosystem, told CNBC that Google is rebuilding parts of Android around Gemini Intelligence to help users complete everyday tasks more easily.
“We’re transitioning from an operating system to an intelligence system,” he said.
As part of Tuesday’s announcements. Google said Gemini Intelligence will be able to move across apps, understand what’s on the screen and complete tasks that would normally require a user to jump between multiple services. That means Android is moving beyond the traditional assistant model, where users ask a question and get an answer, and acting more like an agent.
For instance, Google says Gemini can pull relevant information from Gmail, build shopping carts and book reservations. Samat gave the example of asking Gemini to look at the guest list for a barbecue, build a menu, add ingredients to an Instacart list and return for approval before checkout.
A big concern surrounding agentic AI involves software taking action on a user’s behalf without permissions. Samat said Gemini will come back to the user before completing a transaction, adding, “the human is always in the loop.”
Four months after announcing its Gemini deal with Google, Apple is under pressure to show a more capable version of Apple Intelligence, which has been a relative laggard on the market. Apple has long framed privacy, hardware integration and control of the user experience as its advantages.
Google’s Android push is designed to show it can bring AI deeper into the device experience while still giving users control over what Gemini can see, where it can act and when it needs confirmation.
The app automation features will roll out in waves, starting with the latest Samsung Galaxy and Google Pixel phones this summer, before expanding across more Android devices, including watches, cars, glasses and laptops later this year.
The company is also redesigning Android Auto around Gemini, turning the car into another major surface for its assistant. Android Auto is in more than 250 million cars, and Google says the new release includes its biggest maps update in a decade and Gemini-powered help with tasks like ordering dinner while driving.
Alphabet’s AI strategy has been embraced by Wall Street, which has pushed the company’s stock price up more than 140% in the past year, compared to Apple’s roughly 40% gain. Investors now want to see how Gemini can become more central to the products people use every day.
WATCH: Alphabet briefly tops Nvidia after report of $200 billion Anthropic cloud deal
Technologies
Waymo recalls 3,800 robotaxis after glitch allowed some vehicles to ‘drive into standing water’
Waymo issued a voluntary recall of about 3,800 of its robotaxis to fix software issues that could allow them to drive into flooded roadways.
Waymo is recalling about 3,800 robotaxis in the U.S. to fix software issues that could allow them to “drive onto a flooded roadway,” according to a letter on the National Highway Traffic Safety Administration’s website.
The voluntary recall is for Waymo vehicles that use the company’s fifth and sixth generation automated driving systems (or ADS), the U.S. auto safety regulator said in the letter posted Tuesday.
Waymo autonomous vehicles in Austin, Texas, were seen on camera driving onto a flooded street and stalling, requiring other drivers to navigate around them. It’s the latest example of a safety-related issue for the Alphabet-owned AV unit that’s rapidly bolstering its fleet of vehicles and entering new U.S. markets.
Waymo has drawn criticism for its vehicles failing to yield to school buses in Austin, and for the performance of its vehicles during widespread power outages in San Francisco in December, when robotaxis halted in traffic, causing gridlock.
The company said in a statement on Tuesday that it’s “identified an area of improvement regarding untraversable flooded lanes specific to higher-speed roadways,” and opted to file a “voluntary software recall” with the NHTSA.
“Waymo provides over half a million trips every week in some of the most challenging driving environments across the U.S., and safety is our primary priority,” the company said.
Waymo added that it’s working on “additional software safeguards” and has put “mitigations” in place, limiting where its robotaxis operate during extreme weather, so that they avoid “areas where flash flooding might occur” in periods of intense rain.
WATCH: Waymo launches new autonomous system in Chinese-made vehicle
Technologies
Qualcomm tumbles 13% as semiconductor stocks retreat from historic AI-fueled surge
Semiconductor equities reversed sharply after a broad AI-driven advance, with Qualcomm suffering its worst day since 2020 amid inflation concerns and rising oil prices.
Semiconductor stocks fell sharply on Tuesday, reversing course after an extensive rally that had expanded the artificial intelligence investment theme well past Nvidia and driven the industry to unprecedented levels.
Qualcomm plunged 13% and was on track for its steepest single-day decline since 2020. Intel shed 8%, while On Semiconductor and Skyworks Solutions each lost more than 6%. The iShares Semiconductor ETF, which benchmarks the overall sector, fell 5%.
The sell-off came after a key gauge of consumer prices came in above forecasts, and as conflict in Iran pushed crude oil higher—prompting investors to shift away from riskier assets.
The preceding advance had widened the AI opportunity set beyond longtime industry leader Nvidia, which for much of the past several years had largely carried the market to new peaks on its own.
Explosive appetite for central processing units, along with the graphics processing units that power large language models, has sent chipmakers to all-time highs.
Market participants are wagering that the shift from AI model training to autonomous agents will lift demand for additional AI hardware. Among the beneficiaries are memory chip producers, which are raising prices as supply remains tight.
Micron Technology slid 6%, and Sandisk cratered 8%. Sandisk’s stock has surged more than six times over since January.
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