I think AI is absorbing much of the work traditionally given to junior designers. It is taking a sizeable bite out of junior development work too. I doubt this means design careers are doomed, but it raises an uncomfortable question: if AI takes over the work people used to learn on, how does the next generation become experienced?
For someone who already knows what they want, asking an AI assistant to do the job can feel easier than hiring a junior who needs guidance. You describe the task, review the output and ask for changes.
A junior needs those things too, alongside time to understand the reasoning and learn from mistakes. That investment is becoming harder to justify when the immediate priority is getting something finished.
Will AI replace junior designers?
My concern is that AI can absorb enough junior tasks to make employers question the hire itself.
An experienced designer can ask an assistant to help with:
- Exploring layouts and visual directions.
- Producing variations of an existing page.
- Generating images, icons and interface copy.
- Building straightforward pages and components.
- Documenting design decisions and reusable patterns.
The results need checking. But if the senior can direct the assistant and review its work, there is less immediate reason to delegate those tasks to someone who needs training.
I see the same pressure on junior development work. Generating an implementation is getting easier, although someone still needs to check that it behaves correctly and is suitable for production.
This does not tell us how many jobs will disappear. It does explain why the entry point into these professions worries me.
Businesses still need someone who knows what to ask
Businesses will still need to get online. They will still need to explain their services, earn trust and turn visitors into customers. That work might go to an in-house designer, a freelancer or an agency.
A business owner can also ask AI to build a website. It can produce pages, layouts, images, design systems and code. But there is still a knowledge gap: knowing what the hell to ask it to do.
Why did it choose a carousel? Would tabs help people compare the content? Should those options simply be visible on the page?
AI can help explore the answers. Someone needs to understand the situation well enough to ask the questions and evaluate its recommendations.
Human judgement shapes the result
Generating options is becoming easier. Choosing between them still requires an understanding of the business and its customers.
A designer needs to consider:
- Imagery: Does this image help explain the service and feel credible?
- Colour: Does the palette represent the business and keep the content readable?
- Hierarchy: What should visitors notice first?
- Layout: How should each section support the next?
- Interaction: Can visitors find what they need and take action easily?
Someone with a burst pipe probably wants to know whether the plumber serves their area, whether they are available and how to call them. A complicated visual introduction could get in the way.
Art direction and AI orchestration are becoming a larger part of senior design work. The person directing the assistant defines the brief, supplies context, guides iterations and takes responsibility for the result.
My question is how a newcomer develops the judgement to do that well.
The junior tasks were also the training
Building a section teaches you about hierarchy. Adapting it for mobile teaches you about responsiveness. Receiving feedback teaches you that a design you like can still confuse someone else.
You make decisions, see their consequences and gradually understand what works.
If an assistant completes the task, that learning does not automatically happen. Someone can accept a polished result without understanding the choices behind it.
Hiring a junior has always been partly an investment in future ability. Explaining a task and reviewing the work may take longer today, but that person can contribute more independently later.
If every business removes that investment, where do future senior designers come from?
An AI-built website can deliver real value
I do not think we should dismiss everyone who uses AI and calls themselves a web designer.
If someone builds a plumber’s website in an afternoon, publishes it and runs ads that generate paying customers, they have delivered something useful.
The plumber does not need to care how many hours went into arranging the layout or writing the code.
But the depth of the service matters. Can that designer check the forms, recognise accessibility problems and investigate why visitors leave without contacting the business?
Producing the website is one part of the responsibility. Understanding whether it works for the business is another.
A designer should see opportunities beyond the brief
The plumber might ask for a website without knowing what else to consider. A designer should investigate how customers will find it and what will make them enquire.
Ads are one route. Local SEO could bring relevant visitors over time without paying for every click. It still takes investment in research, content and improvements, and rankings are not guaranteed.
AI can help research competitors, explore search terms and plan useful content. The designer needs to verify the findings and decide what deserves attention.
That means asking questions such as:
- Which services and locations matter most to the business?
- What do customers need to know before making contact?
- What evidence would help them trust this company?
- How will we measure useful enquiries?
- Could search visibility, including AI answers, become a relevant source of discovery?
The business owner may never ask these questions. Recognising them is part of the designer’s expertise.
How junior designers can learn with AI
I think new designers should use AI while learning to explain and evaluate the work it helps them produce.
- Compare approaches. Generate several options and explain which best serves the visitor.
- Check the result. Review content, accessibility, interactions and different screen sizes.
- Learn the fundamentals. Study typography, hierarchy and layout so you can recognise weak decisions.
- Follow projects beyond launch. Find out whether people understand the website and whether it generates useful enquiries.
- Get experienced feedback. Learn how other designers frame problems and assess tradeoffs.
Seniors can help by making their reasoning visible and giving juniors responsibility for decisions they can review together.
Newcomers also need access to real projects and employers willing to teach. Telling everyone to become more strategic does not create those opportunities.
I am more worried about the entry point than the demand
I expect businesses to keep paying for people who understand their problems, direct the work and deliver useful results.
AI lets newcomers build more than they could before. It may also reduce the opportunities where they would receive guidance.
I do not think design careers are doomed. I think we need to be more deliberate about how designers gain experience.
If experienced judgement makes someone valuable when working with AI, we need to give new designers a way to develop it. Otherwise, we are expecting the next generation to arrive with experience we stopped helping them gain.
Frequently asked questions
What should an AI-assisted junior design portfolio show?
Show the problem, the options you considered, your decisions and how you checked the result. Explain where AI helped and what you changed. A finished screen shows what you produced; the reasoning helps someone assess your understanding.
Do junior web designers still need to learn HTML and CSS?
I think basic HTML and CSS remain useful. They help you understand how layouts behave, discuss implementation and inspect AI-generated pages. How deeply you need to learn them depends on whether your role includes building and maintaining websites.
How can a small agency train juniors while using AI?
Give them ownership of a manageable part of a real project, ask them to explain their decisions and review the outcome together. AI can help with production while the junior practises briefing, evaluation and follow-through. Training needs time allocated to it rather than being squeezed into whatever remains before the deadline.