Tech Trends: 85% of Customer AI by 2026

Listen to this article · 11 min listen

A recent Gartner report says that by 2026, 85% of all customer interactions will involve some form of artificial intelligence. That isn’t some far-off sci-fi prediction. It’s happening in the next couple of years, and it’s already changing how businesses work and how we live. So what does that actually mean for the tech trends we should be tracking for 2026?

Key Takeaways

  • By 2026, AI-driven code generation will be baked into over 70% of new software development, which will make development cycles move a whole lot faster.
  • Expect augmented reality (AR) ad spend to blow past $30 billion by 2026, letting brands build immersive experiences that go way beyond a phone screen.
  • Blockchain-powered decentralized identity solutions are set to secure over 15% of enterprise data transactions, a move that will cut down on fraud and give people real privacy.
  • The market for sustainable computing is going to jump 25% every year, pushed by new regulations and people demanding tech that’s better for the planet.

The AI Infiltration: Beyond Chatbots

AI is showing up everywhere, and it’s doing a lot more than the customer service chatbots we’re all used to. A Statista report has the generative AI market hitting almost $100 billion by 2026. This is AI becoming a core part of how we write content, build software, and even make strategic calls. We’re already using AI systems that can write first-draft marketing copy, mock up user interfaces, and spit out entire chunks of code. For anyone in marketing, this completely changes the creative workflow. Sure, tools like DALL-E 3 and Midjourney are pretty standard now for making images, but the next step is AI that actually gets brand voice and campaign goals on a deeper level. My experience on the ground is that the teams who get comfortable with these AI co-pilots now are going to leave everyone else in the dust, freeing up their human creatives to think about big-picture strategy and real emotional connection.

The real work, as I see it, isn’t just flipping the AI switch on. It’s the hard part of training it to stay on-brand and sound authentic. A lot of companies are struggling with this, trying to figure out how to weave AI into their process without sounding like a robot and losing what makes them unique. You can’t do it without clear brand guidelines, a constant feedback loop with the machine, and a solid grasp of what AI can and (more importantly) can’t do. Throwing a simple prompt at it just doesn’t work. You have to curate the output, teach it, and check that what comes out actually reflects your company’s values. I’ve seen it firsthand: without that human oversight, the AI just produces generic mush that actively harms the brand it’s supposed to be helping. That’s where people are still essential.

Immersive Experiences: AR Advertising Takes Center Stage

Virtual reality (VR) gets all the press, but it’s augmented reality (AR) that’s going to be woven into everyday marketing in a much bigger way by 2026. eMarketer data shows global AR ad spend climbing to some serious numbers, which tells you where the money is going. Think about it: trying on clothes virtually on your phone, seeing how a couch looks in your actual living room before you buy it, or getting product info just by pointing your camera at something in a store. This is about making the customer journey smoother and creating interactions that stick. Brands that get their AI advertising campaigns right using AR will build experiences that people remember, which is what actually leads to sales and loyalty.

The best part about AR is that people already have the hardware. Unlike VR which usually means buying a special headset, AR works on the smartphone that’s already in everyone’s pocket, giving it massive reach. Tools like Meta Spark AR Studio and Snapchat Lens Studio have made creating AR content much easier, so brands can experiment with filters and little interactive experiences. The real win, though, is when AR is part of a bigger marketing plan, not just a one-off gimmick. I’ve worked on campaigns where adding a simple AR product visualization gave customers the confidence they needed to click “buy,” directly lifting sales. The trick is to give people something genuinely useful. A common pitfall is building something technically cool that has no real-world value, which just results in terrible engagement. The AR apps that win are the ones that either solve a nagging problem for the customer or help them understand a product in a way they couldn’t before.

Decentralized Identity and Data Ownership: A Privacy Imperative

With data breaches and privacy scandals in the news every week, decentralized identity (DID) is about to get a lot more common, with some experts saying it’ll be used in over 15% of enterprise data transactions by 2026. People are sick of having no control over their personal data, and that’s what’s driving this change. Instead of some central company like a social media giant or a government agency holding all your identity info, DID uses blockchain to let you own your identity yourself. This means you hold your own digital credentials and only share the specific piece of information a service needs, like proving you’re over 21 without also handing over your name, address, and birthdate. For a business, this means a much lower risk of a catastrophic data breach and an easier time complying with rules like GDPR and CCPA.

At first, this sounds like a marketer’s nightmare. How are you supposed to personalize anything without all that data? But it’s about trust. People are far more likely to share information with a brand they trust, especially when they get to say exactly what’s shared and for how long. I’m convinced that the first brands to really embrace DID and build their customer relationships on transparency are going to pull ahead. It’s about collecting data more ethically, with explicit consent. Groups like the Decentralized Identity Foundation (DIF) are building the open standards to make this happen. We’re going to see a big shift away from creepy, constant tracking and toward a model where people grant permission to use their data, maybe even getting paid for it in some way. In my opinion, proving you respect user privacy will become a massive competitive advantage.

The Green Tech Imperative: Sustainable Computing

The tech industry can’t ignore its environmental impact anymore. According to Grand View Research, the market for sustainable computing solutions is set to grow 25% a year through 2026. This covers a lot of ground, from hardware that uses less power and data centers running on renewables to writing code that’s carbon-aware and designing electronics for a circular economy. Both regulators and regular consumers are starting to demand eco-friendly tech, which puts real pressure on companies to make sustainability a priority. If you’re a marketer, you need to be thinking about how to build this responsibility right into your brand’s message and products.

And this has to be about genuine commitment. It can’t just be marketing fluff. The brands that will win over the growing number of eco-conscious buyers are the ones who can show real, measurable proof of a smaller carbon footprint, ethically sourced materials, and a plan for what happens to their products at the end of their life. I’ve seen companies that invest in sustainable cloud infrastructure, for example, not only tick a regulatory box but also find it easier to attract good talent and burnish their public image. This push for sustainability is also sparking some interesting new ideas in things like hyper-efficient algorithms and low-power hardware. People always talk about the cost of “going green,” but the reality I see is that smart, sustainable moves often save money in the long run and create new ways to make money. Optimizing your servers to use less electricity isn’t just good for the earth. It’s great for your bottom line.

Challenging the Hype: The Slow Burn of the Metaverse

A lot of people were predicting we’d all be living in the metaverse by 2026, but I’ll argue that its adoption is going to be a slow burn, not some overnight success. The hype suggested we’d be working, shopping, and hanging out in these fully built virtual worlds by now. But even with all the money Meta and others are throwing at it, the technical problems in making the metaverse smooth, accessible, and actually fun are still huge. High-end VR headsets are expensive and clunky to wear for more than a little while. And the content, while it’s getting better, doesn’t have the kind of killer app that would pull in huge numbers of people outside of gaming circles.

My take is that while we’ll see bits and pieces of the metaverse continue to develop, like persistent virtual spaces for work or digital avatars, they’ll mostly be used for very specific things like enterprise training, gaming, and social clubs for early adopters. It won’t be a mainstream, everyday thing for a while. The underlying tech for a truly open, interconnected series of virtual worlds is basically still in the R&D phase. We’re seeing much more traction with augmented reality, which just adds a digital layer to our physical world, because it doesn’t ask us to completely check out of reality. The real hurdle for the metaverse isn’t just the tech. It’s the lack of a compelling reason for the average person to spend their time and money there. Until that’s solved, it’s just going to be a bunch of disconnected digital islands instead of a new frontier.

What’s really going to define the tech space in 2026 is the real-world use of AI, the power of AR to create useful experiences, and a serious new focus on data privacy and sustainability. To keep up, you’ll need a real strategy and the guts to question the latest hype cycle. For example, marketers have to get a handle on how AI is reshaping consumer choices. At the same time, every business needs to figure out how to maintain brand credibility as AI-driven interactions become the norm. And anyone running a digital campaign will find that precision targeting is more important than ever.

What’s the real story for small businesses and AI by 2026?

Small businesses are going to be some of the biggest winners with AI. They’ll use AI-powered tools to automate things like customer service chats, writing marketing emails, and even managing inventory. This lets them compete with bigger companies by being more efficient and personal, all without needing a huge staff.

What are the privacy risks with decentralized identity?

While DID gives users more control, it’s not perfect. The main worries are around the complexity of it all, if you lose your personal keys (your password, essentially), you could be locked out. We also need to make sure these systems can talk to each other. Getting the user experience right and having good backup plans will be essential for it to take off.

Is AR advertising really for every industry?

AR ads have huge potential almost anywhere, but they’re a natural fit for retail, real estate, cars, and education, anywhere that seeing a product or concept in 3D in your own space is a huge plus. It works when the AR is genuinely useful or entertaining. If it’s just a gimmick, people will ignore it.

What does “sustainable computing” actually mean for a company?

It means a company actively works to reduce the environmental cost of its tech. In practice, this means buying energy-efficient servers, running data centers on renewable power, writing code that’s less of a power hog, and having a plan for recycling old electronics instead of just junking them. It’s about measuring and reducing the carbon footprint of your IT.

So why is the metaverse taking so long to happen?

Mainstream adoption of the metaverse is slow because the hardware is still too expensive, the software isn’t easy enough to use, and the different virtual worlds don’t connect to each other. But the biggest reason is there’s no “killer app”, no single piece of content or experience that makes the average person feel like they have to go out and buy a headset.

Callum Nkosi

Lead MarTech Strategist MBA, Marketing Analytics (London School of Economics); Certified Marketing Automation Professional

Callum Nkosi is a Lead MarTech Strategist at OptiMetric Innovations, bringing over 14 years of experience in optimizing marketing ecosystems. His expertise lies in leveraging AI-driven analytics for predictive campaign performance and customer journey mapping. He previously spearheaded the MarTech stack integration for GlobalConnect Solutions, resulting in a 25% increase in marketing ROI. His acclaimed white paper, "The Algorithmic Marketer: Unlocking Hyper-Personalization at Scale," is a foundational text in the field