Technology forecasts are usually too confident.

So these aren't predictions.

They are signals we're watching — shifts already visible in 2026 that could materially change how businesses build and operate technology as we move toward 2027.

01 / AI agents become a workforce.

The conversation is moving beyond copilots toward agents capable of executing tasks and coordinating workflows.

The strategic question will increasingly become how businesses organise work between humans and digital workers — and how those workers are governed.

02 / Software starts becoming invisible.

For decades, enterprise software has been designed around screens, menus, dashboards and seats.

Agents create another possibility: software that is consumed through outcomes.

A user asks for something to happen; agents coordinate across the applications required to make it happen.

The underlying software remains important. The interface may become considerably less so.

03 / AI-native development changes software economics.

AI is already changing how software is designed, coded, tested and maintained.

The bigger shift may be organisational: smaller teams capable of building and operating systems that previously required substantially more engineering effort.

That could alter not only development speed but what businesses decide is economically worth building.

04 / Automation becomes autonomous operations.

Traditional workflow automation executes predefined steps.

Agentic systems can increasingly interpret situations, coordinate tools and adapt execution toward objectives.

The line between “software” and “operations” starts getting interesting.

05 / Machine identity becomes a security issue.

If thousands of agents are going to access enterprise systems, organisations need to know who — or what — each agent is.

Identity, permissions, least privilege, credential management, logging and revocation will matter just as much for digital workers as they do for human ones.

2027 SIGNAL The next identity-management problem may not be managing more people. It may be managing more machines acting like people.

06 / Assurance becomes continuous.

Technology environments change too quickly for assurance to remain purely periodic.

Cloud configurations change. Vendors change. AI agents change. Data flows change. Applications change.

Organisations will increasingly need assurance models that continuously ask whether controls remain effective as the underlying environment evolves.

The connecting thread.

All six shifts point in the same direction.

Technology is moving from being something employees operate toward something that increasingly participates in operating the business.

That creates extraordinary possibilities.

It also makes architecture, governance, security and accountability more important — not less.

2027 isn't here yet.

But some of the systems that will define it are already being built.