For the past year, the conversation around AI has been loud, and often extreme.
On one side, there’s fear — that roles will disappear, teams will shrink, and entire functions will be replaced. On the other, there’s hype — that AI will solve productivity, hiring and performance overnight.
But what we’re actually seeing across the creative, media and marketing industries is far more nuanced.
AI isn’t replacing jobs. It’s quietly rewriting what those jobs look like.
Roles aren’t disappearing, they’re evolving
One of the clearest themes from this year’s market insights is that AI is touching almost every function, but not in the way many expected.
Rather than removing roles entirely, it’s changing how work gets done within them.
Creative roles are becoming more data-aware. Marketing roles are becoming more analytical. HR roles are becoming more strategic and tech-enabled. Support roles are becoming more commercially embedded.
The lines between disciplines are starting to blur.
What used to be clearly defined job descriptions are now becoming hybrid, requiring a mix of skills that didn’t previously sit together.
And that shift is happening faster than most organisations are structured to handle.
The rise of hybrid capability
The most in-demand profiles right now aren’t specialists in one narrow area.
They’re people who can operate across multiple dimensions:
- creativity and data
- strategy and execution
- human judgement and AI capability
This is where we’re seeing the biggest change in hiring.
Employers are no longer just asking, “have you done this before?” They’re asking, “can you do this differently?”
The ability to work alongside AI tools, interpret outputs and apply critical thinking is becoming a baseline expectation — not a niche skill.
But importantly, it’s not about technical expertise alone.
It’s about how those tools are used.
AI is accelerating the shift to capability-based hiring
This is where AI and hiring intersect most clearly.
As roles evolve, traditional markers of “qualified” — years of experience, specific companies, linear career paths — become less reliable indicators of future performance.
If the job itself is changing, past experience only tells part of the story.
Instead, hiring is shifting towards:
- learning velocity
- adaptability
- curiosity
- judgement
Candidates who can demonstrate how they think, how they learn, and how they apply tools are standing out more than those who simply meet a checklist, and AI is accelerating that shift.
The human layer matters more, not less
There’s a misconception that as AI becomes more capable, human skills become less important. In reality, the opposite is happening.
The more automation is introduced, the more value is placed on what can’t be automated:
- decision-making
- context
- empathy
- communication
- ethical judgement
AI can generate output, but it can’t fully understand nuance, culture or consequence; that responsibility still sits with people.
We are seeing that in many cases, it’s becoming the differentiator between good and great performance.
Organisations are still catching up
Whilst individuals are starting to adapt quickly, many organisations are still working out how to structure around this shift.
There’s a growing tension between introducing AI tools quickly, and giving teams the time and space to actually use them properly
We’re seeing businesses roll out tools without fully redefining roles, expectations or workflows, which ultimately creates friction. The organisations getting it right are taking a more considered approach:
- building AI into roles gradually
- creating space for experimentation
- focusing on how work changes, not just what tools are used
Without these elements, AI becomes another layer of pressure, rather than a source of progress.
So what does this mean for hiring?
If AI is rewriting job descriptions, hiring strategies need to evolve alongside it.
That means asking different questions:
- Does this role reflect how work actually happens today?
- Are we hiring for adaptability, not just experience?
- Are we recognising AI-augmented work as real experience?
- Are we clear on what human skills are critical in this role?
The organisations that answer these well, will build teams that are far more resilient to change. Those who don’t risk hiring for a version of the role that no longer exists.
Final thought
AI isn’t the disruption people thought it would be. It’s not removing the need for people. It’s redefining how people add value.
The challenge for both businesses and candidates isn’t to compete with AI, but to evolve alongside it, because the future of work isn’t AI or human. It’s AI, combined with human capability, judgement and adaptability.
And that’s where the real opportunity sits…