There’s a lot of noise around AI right now, but the real question for our industry is simple: how do we grow people in a world where machines can now do so much? For decades, creative and strategic talent climbed the ladder by learning through doing. Juniors built their craft one pixel, one storyboard, one media plan at a time.
Now, AI can deliver polished first drafts in seconds. It accelerates production, removes friction and gives even a newcomer the ability to create at a level that once took years to reach. So where does experience fit in?
And how do we protect the development of future talent? The answer lies in reframing what it means to build expertise. AI doesn’t remove the need for judgment.
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It increases it. Just because anyone can generate something does not mean anyone can recognise what’s great, understand what will work in the market, or know how to push an idea beyond interesting to unforgettable. In this world, senior talent becomes even more valuable — not for execution, but for setting the bar, shaping taste, guiding refinement and asking the questions that AI cannot yet imagine.
The role shifts from maker to editor, coach and curator of quality. And juniors? They still need to make things, only now the craft evolves.
Instead of spending weeks polishing a single concept, they can explore 10 in a morning. When we were juniors, learning creativity meant repetition of tasks. The new generation of juniors will learn through rapid iteration, feedback loops and safe failure at speed.
It’s like training in a flight simulator for creativity. They get more reps. More variety.
Better practice. The big take-out:With the right culture and guidance, junior talent today can grow faster than any generation before them — by building the intelligence, curiosity and taste to shape the work of the future. What this means is that the real learning environments of the future will not be places where AI does everything for you.
They will be spaces where humans and AI work together, where juniors get exposed to the why, not just the how, and where they can test, stretch and refine ideas with support. To build people in an AI world, organisations need to:
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