Ali Rais, Digital and AI Director, Magnitude Creative.For the past three years, the agency model did everything that is to be done with AI. The gimmicks, the press releases and pushed further and built infrastructures. We invested in AI literacy across creative, media, production, influencer and social. We rewired workflows, teams were trained to think in systems, not just deliverables, we did it all.
And now, as agentic AI emerges as systems that don’t just generate answers but make decisions, this shift is no longer incremental, it’s structural. And structural shifts don’t tweak industries, they redraw them.
This is where the fear begins. Not the theatrical fear of robots replacing jobs. The real fear is quieter.
It’s the realisation that much of what agency economics have historically billed for labour: resource headcount, execution cycles, production bottlenecks and manual media manipulation. AI compresses that scaffolding by doing it faster, cheaper and sometimes arguably better. It eliminates friction that once justified margins.
What will this collapse of the traditional model mean to a now AI native world?
I don’t have the answer but here is some food for thought that my GPT would surely argue against.
Let’s break it down across the core verticals that define most agencies today.
Creative and strategy: Abundance kills ideation
AI can generate 50 campaign ideas in seconds. It can scrape cultural patterns, analyse competitors, draft scripts and assemble mood boards instantly. The groundwork is no longer scarce.
What becomes obsolete is the theatre of brainstorming and the hours spent collecting references. What becomes premium is judgment.
Which idea carries emotional tension? Which insight is culturally resonant rather than algorithmically assembled? What should the prompt even be? What does the brand stand for in the first place?
AI produces options. Humans decide what matters. The value shifts from executional labour to strategic clarity.
Media: From operator to architect
Platforms are increasingly AI-led. Targeting, bidding and optimisation are automated at scale. Campaign types that once required complex audience engineering have already made manual audience slicing feel antiquated and now run on broad signals and machine learning.
The role of media teams is no longer daily lever-pulling optamisation. It is system supervision, to protect measurement integrity and design growth architecture. Incrementality testing, creative strategy and cross-platform budget modelling become the real differentiators.
Media buying becomes stewardship, not manipulation.
If AI runs the ad, the question becomes: who ensures it runs in the brand’s favour rather than the platform’s That’s where value moves.
Production: When scarcity disappears
Production is being commoditised at speed. AI can generate visuals, voiceovers, storyboards, edits and localisation at a fraction of the time and cost. Versioning is no longer an operational burden.
But when output becomes abundant, taste becomes scarce. And we have seen the best of the brands become prey to this over the last year.
Anyone can create content. Not everyone can create meaning.
The premium shifts to narrative clarity, brand coherence, cultural nuance and ethical judgment. Production margins built on manual effort will shrink. Strategic direction will not.
Social and influencer: Intelligence versus instinct
AI can identify trends before they peak. It can score creators for brand fit, detect fraud and model engagement probability. It can analyse sentiment in real time and suggest response strategies.
But here lies the paradox: AI-generated content alone will not win on social. Audiences sense synthetic tone instantly if there is one they crave and feed off on social it is authenticity.
AI becomes the radar. Humans remain the voice.
The value moves to cultural instinct, real value content that levels with the audiences, creator relationships and the ability to engineer participation rather than simply publish content.
Finally brands will stop using social media as broadcast channel and get social on social.
Across all verticals, the pattern is consistent. AI removes operational drag, it amplifies competence and exposes mediocrity.
Agencies built on labour arbitrage will struggle. Agencies built on thinking will thrive. Junior-heavy execution models weaken. Senior strategic judgment becomes more valuable, not less.
The traditional agency isn’t dying because of technology. It’s being challenged because the illusion of value, time spent rather than outcomes delivered is dissolving.
The agencies that endure will not be those that simply adopt AI tools. They will be those that redesign themselves around AI as operating infrastructure. They will integrate creative and media instead of siloing them. They will charge for thinking, not hours.
The fear is here because the transformation is no longer theoretical.
AI doesn’t remove the need for agencies. It removes the illusion of what an agency is worth. And forces the industry to confront without mercy where its real value has always lived.
By Ali Rais, Digital and AI Director, Magnitude Creative.
