BE OPEN Academy

PART 1. From Execution to AI Literacy

As artificial intelligence becomes part of everyday creative practice, the most valuable skills for designers are changing. From critical thinking and systems design to ethics, AI literacy and human-centred innovation, the future belongs to those who can collaborate with AI rather than compete with it.

Design education has traditionally focused on creative process, visual communication, technical skills and user-centred thinking. Today, AI-powered research, prototyping, modelling and image generation are reshaping both the profession and the classroom. Many design students are asking: will AI replace designers?

A more useful question is: what kind of designer will thrive when AI can generate hundreds of ideas in seconds?

The answer points towards a future in which AI is not a competitor but a creative partner. Understanding how to collaborate with intelligent systems may soon become as important as learning typography, sketching, prototyping or visual storytelling. But collaboration does not mean dependence. It means knowing when to use AI, how to question it, and how to turn machine-generated possibilities into meaningful human-centred design.

The End of the “Designer as Executor”

Historically, much of a designer’s work involved executing ideas: creating visual assets, refining layouts, preparing presentations or turning a brief into a polished object. Many of these tasks can now be completed partially, and sometimes almost entirely, by AI-powered tools.

This does not mean designers are becoming obsolete. It means the value of design is shifting. As routine production becomes easier, the most valuable contribution is deciding what should be created, why it matters, who it serves, and how it fits into a broader social, environmental, cultural or business context.

Designers are increasingly moving from execution to direction. The ability to frame problems, ask meaningful questions, identify opportunities and evaluate solutions is becoming more important than the ability to produce a polished image alone.

BE OPEN Insight

The question is no longer whether AI can generate ideas. It can. The question is who will define which ideas matter.

As artificial intelligence takes over more routine creative tasks, the designer’s role is shifting from making outputs to shaping intentions, evaluating possibilities and creating meaning. In this new landscape, human judgment becomes more valuable, not less.

Why Creativity Is Becoming More Valuable

One common misconception is that AI can fully automate creativity. Generative systems can produce impressive outputs, but they do not possess human curiosity, lived experience, cultural awareness, emotional understanding or ethical judgment. They generate responses based on patterns found in existing data.

Innovation often comes from challenging existing patterns rather than repeating them. Designers are therefore becoming more focused on defining original directions, combining disciplines, identifying emerging needs and imagining alternative futures.

AI can generate thousands of visual variations. It cannot determine which of them contributes to a more sustainable city, a more inclusive product or a healthier society. That remains a human responsibility.

Case Study: MIT Media Lab

In Physical Design with Generative AI, MIT Media Lab researchers explore how AI can support designers and artists working with physical objects rather than digital images alone. The project focuses on expanding designers’ expressive possibilities while preserving artistic control. Its outcomes include biomimetic tableware and additively manufactured ceramic objects developed through human-AI collaboration.

The lesson is important: AI works best when it helps people explore more possibilities, not when it makes decisions for them.

Source:
https://www.media.mit.edu/projects/physical-design-with-generative-ai/overview/

From Prompting to Judgment

Many discussions about AI in creative industries focus on prompting: the ability to write instructions that generate useful results. Prompting is important, but reducing future design education to prompt writing would be a mistake.

The most successful designers will not necessarily be those who generate the most images. They will be those who understand when and why to use AI, how to evaluate its outputs critically, and how to integrate those outputs into meaningful design processes.

For design students, the key skill is AI literacy: understanding what a system can and cannot do, where outputs may come from, how bias may enter the process, when automation weakens learning, and how to document the role of AI in creative work.

AI literacy is becoming part of design literacy. It connects technical fluency with critical thinking, authorship, ethics and the ability to explain creative decisions. The strongest students will not be those who hide the use of AI, but those who can show how they used it thoughtfully, transparently and responsibly.

Source:
https://altc.alt.ac.uk/blog/2026/03/values-led-generative-ai-in-design-education-a-toolkit-for-confident-critical-practice/