Is Generative AI Killing Originality or Just the ‘Grunt Work’?
Most creative revolutions don’t announce themselves. They arrive quietly, disguised as convenience. Generative AI entered the industry that way. First as a helper. Then as a shortcut. Then, almost without warning, as a default. Suddenly, first drafts were instant. Decks came together faster. Campaign lines appeared with a click. On the surface, this felt like progress. Less friction. Less exhaustion. More output. But beneath that efficiency sat an unease many people struggled to articulate. Work was getting done faster, yet it didn’t always feel better. Everything looked competent, but much of it looked the same. Not bad. Just familiar. For an industry that sells difference, that sameness is unsettling. The question now floating through creative teams and brand meetings isn’t whether AI can make content. It’s whether something essential gets lost when creativity stops being slow, frustrating, and slightly uncomfortable. Are we watching originality disappear, or are we finally shedding the invisible labour that drained creative energy for years? The truth, as usual, sits somewhere in between.
Anyone who has spent time inside an agency knows how little of creative work is actually creative. There are rounds, revisions, versions, formats, approvals, and last-minute changes that no one remembers fondly. Generative AI is genuinely useful here. It takes away the mechanical parts. It fills the blank page. It adapts ideas across platforms. In that sense, it can be freeing. But the danger starts when speed becomes the standard by which work is judged. When “done” replaces “right.” Creativity has never thrived on efficiency alone. Some of the best ideas come from tension, disagreement, and the discomfort of not knowing the answer yet. AI doesn’t experience hesitation. It doesn’t wrestle with doubt. It doesn’t care if an idea feels too safe or too predictable. It simply produces what seems most likely to work based on what already exists. That’s not a flaw. That’s how it’s designed. The risk is human complacency. When teams stop pushing back, stop questioning, stop asking whether something truly feels right for the brand, originality quietly gives way to acceptability. And acceptability is rarely memorable.
Brands are starting to feel the consequences of this shift. Across categories, language is smoothing out. Visuals are converging. Tone is becoming polite, balanced, and increasingly interchangeable. Many brands sound like well-behaved versions of each other. This isn’t because AI is dictating sameness. It’s because AI reflects the centre of the bell curve. Distinctiveness has always lived on the edges. In opinions that feel slightly uncomfortable. In ideas that don’t immediately test well. In choices that don’t follow category norms. Those decisions come from lived experience, cultural awareness, and instinct. Machines don’t live in the world. They don’t pick up on irony, fatigue, or shifting social moods unless those signals are explicitly encoded. They don’t know when silence is more powerful than noise. When ambiguity is intentional. When a rough edge is the point. One thing the industry is being forced to confront is this simple idea: originality doesn’t come from knowing what works, it comes from choosing what matters. And that choice still requires a human.
The way forward isn’t rejection or blind adoption. It’s restraint. Generative AI works best when it stays in the background, handling repetition so people can spend more time thinking. Thinking about culture. About audience nuance. About what a brand should stand for, not just what it should say. The most effective creative teams will be the ones who use AI to buy time, not save effort. Time to debate ideas properly. Time to say no to the obvious answer. Time to protect the moments in the process where judgment matters more than speed. Because originality was never about volume or output. It was about perspective. And perspective cannot be automated. Or as one simple truth puts it, machines can make things faster, but they cannot tell you why something should exist at all. Brands that remember this won’t just survive the AI era. They’ll be the ones that still feel human when everything else starts to blur.