The question

The work through which designers used to learn the craft is the work AI now does first. What is left asks for framing, judgement and a position of your own. So the question that worries me most is how anyone gets their first design job now, and what a design school should do about it. I look at both here, through one programme I teach in.

The research here is from October 2026, and the views drawn from it are my own.


What I found

Design is splitting in two: the part a machine can produce, and the part someone still has to decide.

The market has steadied, but not for everyone. Demand for designers has held up, but it sits with senior and AI-capable people. Junior openings are fewer, and in the UK advertised pay is falling.

Junior work is getting thinner. The tasks AI does well are the same ones juniors used to learn on, so entry-level roles now ask for experience that the entry level no longer gives you. Most of the hiring slump since 2022 comes from the economy, and AI explains less of it than the headlines suggest. Some companies now train their own juniors instead of waiting for experienced hires. Shopify, for example, runs a six-month apprenticeship where early-career designers work on real products with a senior mentor.

What companies pay for now is judgement. They want someone who can take a problem from research to something shipped, explain every decision on the way, and tell good output from bad. Screens on their own are worth less. The thing being designed is growing past the screen into how a system behaves: when an AI may act, when it should stop and ask, how it recovers from a mistake. Some call this AI design, some agent experience, some conversation design. They don't agree on the name, and a few say it shouldn't need one.

I found no art school closing a digital design programme. The UK is offering fewer courses overall, and the art and design degrees closing so far teach hands-on making, such as textiles, costume, and jewellery and silversmithing. The schools I looked at in Europe, the UK and the US keep the studio and the critique at the centre, and add code, AI, sustainability and futures work around them. AI usually arrives as one small course, not yet as a direction. In the Baltics, the Estonian Academy of Arts is one of the few places where digital product design is a bachelor's programme of its own.


One programme, mapped

The map below shows the digital product design programme at the Estonian Academy of Arts as it runs today, semester by semester, set against the skills the work now asks for.

Each skill below lists the courses that carry it, and when.

One programme, mapped29 courses of the digital product design programme at the Estonian Academy of Arts, placed in the six semesters they are taught and in six lanes by kind. Below them are 11 things the work now asks for, each placed at the first semester a course carries it and linked to every course that does. Each course and each skill is a button; select one to read about it beside the map.

How to read this

Each dot is a course, placed in the semester it is taught. The labels below are skills the work now asks for, and a line means the course builds that skill. Select a skill or a course to see the connections and the sources behind them. Switch on possible directions to see what could be added.

Links are partly inferred from course names and descriptions, so read them as likely, not certain.

  • Framing

    • Introduction to Product Design, Year 1 autumn
    • User Experience 1, Year 1 spring
    • Digital Product 1, Year 1 spring
    • Design Methods, Year 2 autumn
    • Digital Product 2, Year 2 autumn
    • User Experience 2, Year 2 spring
    • Digital Product 3, Year 2 spring
    • Digital Product Project 4, Year 3 autumn
    • Bachelor's Thesis and Seminars, Year 3 autumn to Year 3 spring
  • Judgement

    • Line, Colour, Form and Space 1–5, Year 1 autumn to Year 2 spring
    • User Interface Design 1, Year 1 spring
    • Digital Product 1, Year 1 spring
    • User Interface Design 2, Year 2 autumn
    • Digital Product 2, Year 2 autumn
    • Digital Product 3, Year 2 spring
    • Digital Product Project 4, Year 3 autumn
    • Internship, Year 3 autumn
    • Bachelor's Thesis and Seminars, Year 3 autumn to Year 3 spring
  • Critical thinking

    • Art, Architecture, Design and Society 1–3, Year 1 autumn to Year 1 spring
    • Design Theory 1–4, Year 2 autumn to Year 3 spring
    • Future Technologies, Year 2 spring
    • Digital Product Project 4, Year 3 autumn
    • Bachelor's Thesis and Seminars, Year 3 autumn to Year 3 spring
    • Philosophy and Critical Thinking, Year 3 spring
  • End-to-end product work

    • Introduction to Product Design, Year 1 autumn
    • User Experience 1, Year 1 spring
    • Digital Product 1, Year 1 spring
    • Digital Product 2, Year 2 autumn
    • User Experience 2, Year 2 spring
    • Digital Product 3, Year 2 spring
    • Internship, Year 3 autumn
  • Visual craft

    • Drawing, Year 1 autumn
    • Introduction to UI Design, Year 1 autumn
    • Line, Colour, Form and Space 1–5, Year 1 autumn to Year 2 spring
    • Graphic Design Basics, Year 1 spring
    • User Interface Design 1, Year 1 spring
    • User Interface Design 2, Year 2 autumn
    • Portfolio, Year 2 spring
    • Graduation Exhibition, Year 3 spring
  • Systems thinking

    • Introduction to UI Design, Year 1 autumn
    • User Interface Design 1, Year 1 spring
    • Arduino, Year 1 spring
    • User Interface Design 2, Year 2 autumn
    • Digital Product 2, Year 2 autumn
    • User Experience 2, Year 2 spring
    • Future Technologies, Year 2 spring
  • Building in code

    • Introduction to IT, Year 1 autumn
    • Arduino, Year 1 spring
    • Web and Code, Year 2 autumn
    • Future Technologies, Year 2 spring
    • Digital Product Project 4, Year 3 autumn
  • Research literacy

    • User Experience 1, Year 1 spring
    • User Research, Year 2 autumn
    • Design Methods, Year 2 autumn
    • Digital Product 2, Year 2 autumn
    • User Experience 2, Year 2 spring
    • Digital Product 3, Year 2 spring
    • Digital Product Project 4, Year 3 autumn
    • Bachelor's Thesis and Seminars, Year 3 autumn to Year 3 spring
  • A position of your own

    • Self-management and Teamwork 1–2, Year 1 spring to Year 2 spring
    • Portfolio, Year 2 spring
    • Digital Product Project 4, Year 3 autumn
    • Bachelor's Thesis and Seminars, Year 3 autumn to Year 3 spring
    • Graduation Exhibition, Year 3 spring
  • AI literacy

    • User Interface Design 2, Year 2 autumn
    • Web and Code, Year 2 autumn
    • Future Technologies, Year 2 spring
  • Foresight

    • Future Technologies, Year 2 spring
    • Digital Product Project 4, Year 3 autumn

Where you could go

Six kinds of design work that employers and practitioners describe right now, and how people get into them.

Illustration of a person at a laptop, with a calm landscape where their face would be.

Takes a problem from research to something live and owns the decisions on the way. Still the most common hire, and the role most other directions grow out of.

Also called
product designer, UX designer, digital product designer
Builds on
End-to-end product work, Judgement, Research literacy
How people get in
A portfolio that shows decisions and shipped work, not only polished screens. Some companies now run apprenticeships for this.

Designs in code and builds prototypes that run, instead of pictures of them. The line between design and front-end keeps getting thinner.

Also called
design technologist, creative technologist, prototyper
Builds on
Building in code, Systems thinking
How people get in
Prototypes that run. A portfolio with working code matters more than the degree title.

Designs how a system acts: what it may do, when it should stop and ask, how it recovers from a mistake. New enough that nobody agrees on the title.

Also called
AI designer, conversation designer, agent experience designer, model designer
Builds on
Behaviour design, AI literacy, Systems thinking
How people get in
Curiosity about how a system works behind the screen. People often come from UX, HCI or computer science, but none of these is required.

Makes things people recognise and trust. When anything can be generated, someone still has to make it good.

Also called
brand designer, visual designer, art director
Builds on
Visual craft, Judgement
How people get in
A strong visual portfolio. Teams working on AI products often pair these designers with more technical ones.

Finds out what is actually going on and designs across a whole service, beyond one product. Research is changing as AI takes over transcription and sorting, and the judgement about what it means stays with people.

Also called
UX researcher, design researcher, service designer
Builds on
Research literacy, Framing, Systems thinking
How people get in
Research coordination, research operations or placements in public-sector labs. Service design usually starts through project work.

Design does not end at the product. Some designers go into games and interactive installations, some into public services and policy, and a few into futures and speculative work.

Also called
game designer, creative technologist, policy designer, futures designer
Builds on
Visual craft, Systems thinking, Foresight
How people get in
Games and installations through projects you can show. Public-sector design through placements in innovation labs. Futures work usually comes later, after experience in research or interaction design.

Where education meets the work

Taken together, the picture is this. Design education still does the hard part well. Studio work and critique teach framing and judgement, which is exactly what the work now pays for, and a strong visual foundation still counts.

It moves slower on the rest. AI usually arrives as one small course, and designing how systems behave is barely taught anywhere. Shipping something real, which juniors used to learn on the job, now has to be learned before the job. Every junior has to build these in themselves, in school or outside it.

What already works should be strengthened too. Craft and systems thinking are the two skills that age slowest: someone still has to make things good, and almost everything a designer touches now behaves as a system. And because the directions a designer can take are so many, a design education works best as a strong shared core with real room to choose: a common foundation in craft, systems and framing, then space to go deep in one direction or combine several. Some schools already build it this way, with a shared first year and pathways after it.

Two more things belong next to the craft. The first is business, understood simply: I do what I love, so how do I make it work? Business here has nothing to do with a man in a suit with a briefcase. It means knowing how to position yourself, how to explain what your work is worth, and how to shape a professional identity that is your own. A salaried job is a version of the same thing, because people are chosen for what they can show and say about their own contribution.

The second is foresight and innovation. Anticipating change gives a designer an edge that reacting to it never will. Futurists and forward-looking organisations scan for early signals, read them into trends, build scenarios and speculative prototypes that question what everyone assumes, and use systems thinking to test today's decisions against several possible tomorrows. Brands use these methods to plan products and strategy, and international organisations use them to plan under uncertainty. AI extends what already exists. Imagining what does not exist yet, and deciding which futures are worth building toward, is design work, and it belongs at the centre of a design education, not at its edges.

Both are learned best close to practice: real projects, people from the field in the room, and real cases instead of invented briefs.


The full report

The full report goes deeper into each skill and direction: why the work asks for it, how to practise it, and how to show it in your work.

Download the report (PDF)Downloaded 25x


Sources

51 sources stand behind this page and the report, grouped by the kind of evidence each one is.

Sources

Data

Survey

Research

Position

© 2026 Ragne Selis. You are welcome to read, link and quote this with credit. Please ask before reusing it in full.