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By 2026, AI could automate up to 70% of everyday work tasks. In this video, I'm sharing 17 new technology trends that will shape 2026. From brain controlled devices to walking robots and how they're already starting to change the
Top 17 technology trends for 2026 covering no-code development, AI-driven XR, smart infrastructure, edge AI, robotics, quantum computing, wearables, and AR glasses.
Key Takeaways
- Many of the 2026 technology trends are already in early deployment rather than purely speculative.
- AI is shifting from standalone apps to embedded, on-device, and system-level intelligence.
- Robotics and automation are moving from pilot programs to commercial scale, driven partly by labor shortages.
- Privacy regulation and cost are key drivers pushing AI processing to the edge.
What the video covers
- AI could automate up to 70% of everyday work tasks by 2026, according to the video's opening claim.
- No-code and low-code platforms (Glide, Bubble, Microsoft Power Apps, custom GPTs) are expected to build over 75% of new apps.
- AI-powered extended reality spaces adapt and react to users, with examples from Nvidia, Meta, and CES virtual shops.
- Smart infrastructure, with over 30 billion IoT devices expected, includes adaptive traffic lights in Singapore and smart poles in South Korea.
- Privacy-first AI and local processing are growing through Apple chips, Meta's Llama 3, and Intel Meteor Lake, driven by GDPR and CCPA pressure.
- Workflow automation tools like ServiceNow, UiPath, and Zapier are automating full business processes, with reported reductions in repetitive work.
- AI-enhanced robots from Agility Robotics, Walmart shelf scanners, and Starship/Kiwi delivery bots are operating in retail and logistics.
- AI is being integrated directly into operating systems, such as Microsoft Copilot in Windows 11 and expected Apple neural features.
- Wearables are evolving into continuous health monitors tracking stress, blood oxygen, and early illness signs.
- Quantum computing is approaching practical utility, with IBM's 1,386-qubit chip plans and efforts from Google, IonQ, and Rigetti.
Chapters
- 00:00Introduction: AI Automation and the 2026 Trend Preview
- 00:50No-Code Development and AI-Crafted Extended Reality
- 03:43Smart Infrastructure, Privacy-First AI, and Workflow Automation
- 05:43Robotics, AI Operating Systems, and Wearables
- 08:00Quantum Computing, AR Glasses, and AI in Healthcare
- 09:56Edge AI Chips and AI-Powered Home Assistants
- 11:32Humanoid Robots Going Commercial and Autonomous AI Agents
- 13:20Large Multimodal Models and Brain-Computer Interfaces
Full Transcript — Download SRT & Markdown
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way we live. Let's dive in. Number 17, low code, no code development. You ever feel like building an app or tool is only for engineers? Well, as you can already tell, that's not the case anymore. By 2026, it's expected that
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over 75% of new apps will be built using lowode or no code platforms. That's stuff like Glide, Bubble, and Microsoft Power Apps where you just drag, drop, and hit publish. Even OpenAI is letting people build their own AI tools with
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zero code using those custom GPTs. and Google's app sheet businesses are automating full workflows without hiring devs. Number 16, AI crafted experience in extended reality. VR isn't just headsets and games anymore. It's getting smart, like actually thinking for itself
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smart. In 2026, we'll see more of these AI powered XR or extended reality spaces that generate themselves based on what you're doing. Nvidia is already doing this with real-time characters that hold full-on conversations. Meta's pumping billions into avatars that don't just
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look better, they react, they improvise. And at CES, virtual shops were adapting their layout depending on how people moved around. Number 15, smart infrastructure and lo 2.0. All right, let's zoom out a bit. Literally, by 2026, there will be over 30 billion IoT
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devices. We're talking traffic lights that adjust in real time based on congestion, which is already a thing in Singapore. Warehouses using AWS and Verizon to track a quick inventory without human input. And in South Korea, they got smart poles that do everything
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from air quality monitoring to charging your phone. Number 14, privacy first AI and local processing. Apple's new chips can now handle AI tasks directly on your device. No cloud, no upload, just fast private processing. And Meta's Llama 3
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models, you can run them locally, too. Intel's Meteor Lake chips are designed to do this out of the box with built-in AI accelerators. With pressure building from Europe's GDPR and California's CCPA, AI is learning how to stay offline
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and keep your data to itself. Number 13, workflow automation at scale. Tools like Service Now, UiPath, and Zapier are helping companies automate full workflows from hiring to invoicing. No human hands needed. Service Now actually reported up to 65% reduction in
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repetitive work thanks to automation in large companies. Amazon's warehouses already use predictive analytics to coordinate people and robots. So yeah, we're not just talking about automating tasks anymore. Whole processes are running on their own and it's happening fast. Number 12, AI enhanced robotics in
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retail and logistics. Agility Robotics started deploying its digital robot at Amazon warehouses in 2024. Walmart, they're using autonomous shelf scanners in over a thousand stores. And if you're on a college campus, chances are you've seen one of those Starship or Kiwi bots
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delivering food. These bots aren't remote controlled. They're using AI vision, realtime mapping, and they're getting smarter every week, especially with worker shortages. These robots are here to stay. Number 11, AI native operating systems. So, you know how your
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phone suggests texts or autocorrects on the fly? In 2026, that kind of AI won't just be in apps. It's getting baked directly into operating systems.
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Microsoft's already testing C-Pilot inside Windows 11, where you can literally ask your desktop to summarize files, rewrite emails, or generate images without switching tabs. Apple's expected to announce more AI native features in MacOSS and iOS, too, running on device with their new neural engines.
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It's not just smarter apps anymore. It's your entire system thinking with you step by step. Number 10, wearables that know you better than you do. Wearables aren't just step counters anymore.
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They're turning into 24/7 health monitors that can track stress, blood oxygen, and even early illness. Aura and Whoop are already giving athletes and everyday users recovery scores and sleep cycles. Now, new models are adding blood sugar tracking without finger pricks,
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and companies like Mavano are working on continuous blood pressure wearables. Some smart rings even detect changes in skin temperature before you get sick.
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And the best part, a lot of these devices now feed data to AI that gives you personalized nudges, not just numbers. Number nine, quantum computing nears utility. Quantum computing has always sounded like sci-fi, but 2026 might be the year it starts showing up
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in real workflows. IBM hit a,000 quibbits in 2023 and plans to debut a 1386 Quibbit chip this year. They're also developing error corrected systems that are getting closer to doing something useful like simulating molecules for new drugs or optimizing
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supply chains way faster than classical computers. Companies like Google, ION Q, and Regetti are right there in the race, too. It's still early days, but the demos are getting real and the pace is quickening. Number eight, AR glasses
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replace screens. We've been talking about AR glasses for a decade, but now they're finally closing in on actual usefulness. Apple's Vision Pro got the ball rolling, and now companies like Meta, XR Real, and Samsung are working on lightweight glasses with realtime
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overlays. Things like live captions, navigation arrows, and even translated subtitles floating in front of you. By 2026, you might not need to pull out your phone to reply to a text or check directions. And with AI handling context, these glasses could know what
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info you want before you ask. Number seven, AI and healthc care gets personal. In 2024, Google Deep Mind announced its AI model could detect 21 types of diseases from retinal scans, sometimes earlier than humans could. In the US, hospitals are starting to use AI
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to analyze patient data and spot signs of sepsis or cardiac risk hours before symptoms show. We're also seeing AI used in cancer treatment planning, personalizing chemo regimens based on your genetic makeup. Number six, Edge AI chips everywhere. Chances are the next
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phone or laptop you buy will have an AI chip built in. In 2026, Edge AI means realtime smarts right on your device. No cloud, no lag. Apple's A17 Pro and M4 chips already do this, handling language translation, image editing, and voice
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recognition instantly. Qualcomm Snapdragon X Elite is bringing that same firepower to Windows laptops. And Intel's Meteor Lake chips come with MPUs, neural processing units that let you run AI tasks with almost no power drain. It's turning every device you own
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into its own little brain. Number five, AI powered home assistants. Smart speakers used to just play music, but now they're walking around. Amazon's Astro, first introduced as a home robot in 2021, is quietly getting smarter.
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It's already being used for home patrol, elder care, and voice command delivery inside homes and offices. Apple's rumored to be working on its own tabletop robot, internally dubbed J595, that could swivel and track users during FaceTime calls. Meanwhile, in China,
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humanoid showroom assistants are already helping customers and handing out brochures. These assistants are moving past the voiceonly stage, adding screens, wheels, arms, and in some cases, facial expressions. Number four, humanoid robots go commercial. We're now at the point where humanoid robots
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aren't just walking, they're working. In 2024, Figure AI signed a partnership with BMW to bring its bipedal robot, Figure01, into automotive manufacturing. Agility Robotics is deploying Digit in logistics environments, and Tesla's Optimus is already doing basic factory tasks like
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folding laundry and sorting parts. What's changed? These robots can now walk, lift, and perform repetitive tasks with just enough dexterity to be useful.
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And more importantly, they're becoming cheap enough to scale. Some models are expected to cost less than a small car by 2026. Number three, AI agents that work for you. This one's moving fast. AI agents aren't just responding to prompts
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anymore. They're handling full tasks from start to finish. Take Devon, an AI software engineer demoed by Cognition Labs in 2024. It can build a full website, debug code, and deploy it live all autonomously. Auto GPT and similar tools can already chain tasks together,
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plan an itinerary, book reservations, and send you a summary. In companies, these agents are being trained to onboard employees, manage data, or respond to clients automatically.
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Instead of just chatting with AI, you're starting to delegate to it. Number two, generative AI becomes default. In 2026, most of what you read, hear, or watch will have been touched, if not created, by generative AI. Open AAI, Google, and
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Anthropic are pushing the limits of large multimodal models like GPT5 and Gemini Ultra, capable of handling text, images, video, and even audio in a single conversation. Adobe's Firefly and Runway ML are powering commercial video editing, while 11 Labs let you clone
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voices and generate speech in seconds. This isn't just a trend, it's a shift in how content gets made. Whether you're writing an article or producing a podcast, AI is now part of the process.
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Number one, the rise of brain computer interfaces. And here it is, the wildest one. Brain computer interfaces or BCIs are starting to move from the lab to the real world. In early 2024, Neurolink confirmed it had implanted its first
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chip in a human, allowing them to control a computer cursor just by thinking. Meanwhile, companies like Synchron and Precision Neuroscience are developing less invasive devices that can restore mobility or communication for people with paralysis. In clinical trials, stroke patients have used BCIS
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to regain control of limbs or send messages through thought. We're still in early days, but the implications are massive, and they're no longer theoretical. That wraps the full countdown. 17 gamechanging trends that aren't coming someday, they're unfolding right now. If you've made it this far,
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let us know what you think in the comment section below. For more interesting topics, make sure to watch the recommended video that you see on the screen right now. Thanks for watching.
Topics:2026 technology trendsAI automationno-code developmenthumanoid robotsedge AIquantum computingAR glasseswearablessmart infrastructureworkflow automation
