One week AI looks like it’s slowing down, and the next it looks like it’s replacing everything. Both of those signals are real, but neither of them explains what’s actually happening.

What’s happening is less obvious than that. AI isn’t just improving, it’s moving into the systems people already use, and that changes how work feels in ways that are easy to notice but harder to explain. Tasks get faster, but the work around them doesn’t always shrink. Expectations rise, but nothing clearly gets taken off anyone’s plate. Decisions start to shift, sometimes without people realising what’s influencing them.

That’s where the confusion comes from. The experience doesn’t line up neatly with the story.

This report looks at those signals together and explains what they mean when you stop treating them as separate trends. It doesn’t frame AI as hype or collapse. It treats it as something that’s already part of how work happens, and focuses on what that actually looks like in practice.

Download the report to see what’s really happening

What’s actually going on underneath all of this

AI hasn’t stalled, and it hasn’t suddenly taken over everything either. What’s changed is where it shows up and how it behaves once it’s there.

The earlier phase was easier to follow because it was visible. New models, new releases, and clear moments that people could point to. What’s happening now is harder to read because it’s happening inside the tools and workflows people already rely on. That’s where the friction starts to show, not because the technology doesn’t work, but because it’s landing inside systems that weren’t built for it.

That tension runs through everything in this report. It explains why the conversation feels inconsistent, why faster work often turns into more work instead of less, and why the biggest problems aren’t coming from the models themselves, but from everything they’re interacting with.

What you’ll find in the report

This report brings the current AI conversation together and makes sense of the signals people are seeing in isolation.

  • Why AI can look like it’s slowing down and accelerating at the same time
  • How work is changing at the task level, rather than through sudden job replacement
  • Why productivity gains often come with increased pressure and workload
  • What changes when AI moves inside tools instead of sitting alongside them
  • Why readiness, not capability, is now the biggest constraint for organisations
  • How agentic AI shifts the conversation from output to action

Why this report matters now

AI has moved past the stage where it only shows up in demos and experiments. It’s now part of the tools people use every day, which makes its impact less visible but much harder to ignore.

At the same time, the conversation around AI has become more fragmented. Some signals point to slowdown. Others point to rapid acceleration. Some focus on job loss, while others highlight productivity gains. Taken separately, none of these tell the full story.

This report brings those signals together and shows what they look like when you treat them as part of the same pattern. It focuses on how AI is actually showing up in work today, and why the gap between expectation and experience is becoming harder to ignore.

Who should read this

  • Business and technology leaders trying to make sense of conflicting AI signals
  • Teams already using AI who want to understand why the experience feels uneven
  • Professionals seeing their roles change and trying to understand what’s behind it
  • Anyone looking for a clearer, more grounded view of how AI is shaping work

Inside the report

The report is structured to follow the same path most people are already experiencing.

It starts with the sense that something doesn’t quite add up, then breaks down the signals driving that feeling. From there, it looks at how AI is changing work in practice, before moving into what happens as systems become more autonomous.

The final sections focus on what organisations need to do differently if they want to keep up with how quickly this is evolving.

Get the full report

AI isn’t just changing what tools can do. It’s changing how work happens, how decisions are made, and how responsibility is distributed.

Understanding that properly takes more than headlines or isolated examples. It requires looking at how all of these changes connect.

Download the report to see the full picture