Tech Buzzwords Actually Worth Paying Attention to in 2026

Every year, there’s a wave of “the next big thing” predictions that mostly end up being a bit overblown. Remember when everyone was going to be living in the Metaverse by now? Yeah.

But 2026 feels a bit different. Some of the technologies that have been hovering in “interesting but not quite ready” territory are starting to actually land in real workplaces. So here’s our non-expert take on what’s genuinely worth keeping an eye on – and in at least one case, worth being quite cautious about.

Agentic AI: when AI stops asking for permission

You’ve probably used something like ChatGPT or Copilot by now. Those are AI assistants – you ask, it answers. Agentic AI is a step further: AI systems that can plan a sequence of steps, make decisions, use other tools, and complete tasks more or less on their own, without you guiding every stage.

Think less “autocomplete” and more “I gave it a goal and it figured out how to get there.”

This is where a lot of serious investment is going right now, and it’s being built into real business processes – finance, HR, customer service, legal. Not as experiments, but as actual infrastructure.

And that’s where we’d suggest pausing before getting too excited.

The security problem nobody’s talking about loudly enough

Here’s the bit that gets glossed over in most of the breathless coverage of agentic AI: when you give an AI system the ability to act – to read files, send emails, query databases, interact with other software – you are also, whether you mean to or not, giving it access to a significant amount of sensitive data.

Most agentic AI tools work by being granted permissions across your systems. They need to be able to see your files to summarise them. They need to access your email to draft responses. They need to connect to your project management tools, your CRM, your HR platform. And in a lot of cases, companies are granting this access fairly broadly, because it’s easier than carefully scoping exactly what the AI should and shouldn’t be able to touch.

The risks here are real and they come from a few different directions:

Data leaving the building. When an AI tool processes your documents, where does that data go? It depends entirely on the vendor, the configuration, and – often – the fine print. A lot of organisations genuinely don’t know whether their confidential files are being used to train models, stored on third-party servers, or accessible to anyone other than their own staff.

Prompt injection. This one sounds technical but the concept is straightforward. If a malicious actor can get content into a document or email that your AI agent will read, they can potentially include hidden instructions telling the AI to do something it shouldn’t – forwarding data somewhere, for instance, or modifying files. It’s a bit like leaving the imfamous prompt that says “ignore all previous instructions and…” in the middle of a contract and hoping the AI does what the note says. Some do.

Over-permissioning. The principle of least privilege – only giving a system access to what it absolutely needs – is a foundational concept in IT security. Agentic AI makes this significantly harder to enforce, because the whole point of these systems is that they’re general-purpose. The result is a lot of organisations are running AI tools with far broader access to their systems than they’d ever grant a human employee on their first week.

None of this means agentic AI is inherently too dangerous to use. But it does mean that “we’ve just plugged it into everything” is not a security strategy.

Quantum computing: still not here, but starting to matter

Quantum computing has been “five years away” for about twenty years, which is partly why people have started tuning it out. But something has shifted recently, and it’s not quite what most people expected.

The practical near-term story isn’t about quantum computers doing everything faster. It’s specifically about cryptography. The concern is that quantum computers, once powerful enough, will be able to crack the encryption that currently protects most of the world’s sensitive data. And because some actors are apparently already collecting encrypted data now to decrypt later – a delightful concept being called “harvest now, decrypt later” – this is becoming a real concern for security teams today, not just in some abstract future.

There’s a whole field called post-quantum cryptography that’s moving from niche academic interest to active government and enterprise planning. If you’re in a security-adjacent role, you’ll be hearing more about this.

Edge AI: the internet of things, but actually useful this time

“Edge computing” means processing data closer to where it’s generated – on a device, or nearby – rather than sending everything to a cloud server first. Combined with AI, this is starting to create some genuinely interesting possibilities: faster decisions, less data leaving the device, better privacy.

For things like manufacturing equipment, medical devices, or just keeping certain sensitive data within a company’s own infrastructure, that matters. The hardware has apparently finally caught up enough to make this practical at scale, so 2026/2027 may be when it stops being a talking point and becomes something you actually encounter in projects.

The theme running through all of this

If there’s one thread connecting these technologies, it’s that the speed of adoption is consistently outpacing the security thinking around them. Agentic AI is the clearest example, but it applies more broadly – new tools are being plugged into existing systems faster than anyone is properly auditing what that means for data governance, access control, or liability.

The companies that are going to handle this well are the ones asking hard questions before they deploy, not after. And the people who are genuinely valuable in this environment aren’t just the ones who can implement the technology – they’re the ones who can look at a proposed setup and say “hang on, have we thought about what happens if…”

Staying on top of this stuff can feel like a full-time job on top of an actual full-time job. If you’re thinking about where to take your career next, or what skills to prioritise, drop us a message. We’re always happy to talk it through.