Everyone is talking about AI replacing designers.
Everyone is talking about AI replacing designers. I think we need to have an honest conversation.
I am not anti-AI. In fact, I think tools like Claude and MCP services have genuinely changed how designers work, automating repetitive tasks, speeding up component generation, and helping early-stage teams move faster. That's real value, and I won't dismiss it.
But let's stop pretending there are no trade-offs.
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Every serious AI workflow runs on credits. Token costs add up fast, especially when you're iterating, generating variants, or running MCP pipelines at scale. Anyone telling you AI is free either hasn't used it extensively or doesn't understand how the credit system works.
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AI doesn't generate consistency on its own. To get reliable, on-brand output you need to feed it your design tokens, component logic, and spacing rules first. Ironically, you need a designer to build the foundation that makes AI useful for design. For early-stage products, this workflow can be powerful. For large, distributed teams with an established brand identity, the gaps become harder to ignore.
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AI learns from what exists on the web. It recombines, it optimises, it executes, but it doesn't invent. If you want your product to look like every other modern SaaS tool in the market, AI will serve you well. But if differentiated visual identity and brand depth matter to you, AI output will feel generic without significant human direction.
Image and video generation? Impressive. Building a product that feels genuinely personalised and distinct? We are still far from that.
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AI is a powerful tool in the right hands. The designer who understands how to direct it will always outperform the one who blindly follows the hype โ or the one who refuses to engage with it at all.
The future isn't AI replacing designers. It's designers who understand AI, replacing those who don't.
What's your experience been working with AI in your design workflow?