平面设计师
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自动化风险
低风险(21-40%):这个级别的工作面临的自动化风险较低,因为它们需要技术和以人为中心的技能的混合。
有关这个分数是什么以及如何计算的更多信息可在这里找到。
用户投票
我们的访客投票表示,他们不确定这个职业是否会被自动化。 然而,员工可能会在我们生成的自动化风险等级中找到安慰,该等级显示有34%的机会会被自动化。
你认为自动化的风险是什么?
平面设计师在未来20年内被机器人或人工智能取代的可能性有多大?
情感
以下图表会在有大量投票数据可以呈现有意义的数据时包含在内。这些视觉表示显示了用户投票结果随时间的变化,提供了对情绪趋势的重要指示。
随着时间的推移的情绪(季度)
随着时间(每年)的情绪变化
增长
预计"Graphic Designers"的工作空缺数量将在2032内增长2.6%
总就业人数和预计的职位空缺
更新的预测将在09-2023到期.
工资
在2022,'Graphic Designers'的年度中位数工资为$57,990,或每小时$27。
'Graphic Designers'的薪资比全国中位工资高25.2%,全国中位工资为$46,310。
随着时间推移的工资
体积
截至2022,在美国有211,890人被雇佣为'Graphic Designers'。
这代表了全国就业劳动力的大约0.14%
换句话说,大约每697人中就有1人被雇佣为“Graphic Designers”。
工作描述
设计或创建图形以满足特定的商业或促销需求,例如包装,展示或标志。可能使用各种媒介来达到艺术或装饰效果。
SOC Code: 27-1024.00
资源
如果您正在考虑开始新的职业生涯,或者想要换工作,我们已经为您创建了一个方便的工作搜索工具,它可能会帮助您找到那个完美的新角色。
评论
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Graphic design is too broad of a term in my opinion. There's logo design, web design, package design, wayfinding design, branding, mobile design, t-shirt design, print design, poster design, and much more.
Digital art and illustrations I think are already under threat. When the art being generated is general and the boundaries of art are more forgiving, then the general nature of AI will thrive. But for more exacting work like logo design, web design, and package design, AI struggles from my experience.
I have played around with Adobe's built-in AI tools for Illustrator and Photoshop. While they're cool to play with, I often find myself wasting time playing prompt engineering, when I could have created something on my own faster. If I as a designer don't have patience to prompt-engineer my way into a design, I'm certain clients won't either.
There's also levels to graphic design. Maybe AI will get rid of the bad designers and the bad clients! But the precise, custom, unique work that many clients look for is hard to replace.
Lastly, being a graphic designer is more than just the technical skills. It's about directing a vision for the design. Even if AI is 100% perfect, it may not understand the client's needs.
For example, composite specialized designers have already taken a toll. Sure AI generated composites are still funky, but with enough time all their flaws WILL be perfected.
I can't imagine a future that AI doesn't learns proper design theory and starts applying it, rendering mostly generalist graphic designers useless. More niche skills requiring a human to take decisions such as "Is this appropriate for the brand?" will still be needed, but I'm not sure still.
A few years ago there was a website that said "Artists can't be replaced because AI can't draw", and here we are. For as much as we try to guess AI will keep outperforming in ways we can't expect, until it happens.
The problem that people don't seem to understand is that all the generative ai programs right now produce art that's very cool to look at and art that no one would ever pay for, because they don't understand the point of paying for art in the first place.
There are billions of cool images you get get for free online right now. Graphic designers already compete against that, and yet, they're still paid.
Why?
The reason why artists are paid is because people want something very specific, and all generative AI right now, and in the future, will fail the specificity requirement because it by nature has to give probabilistic (aka common) answers, and as people adapt to AI art existing, the demands on specificity will increase.
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As a design educator at a university with a well respected communication design program who has embraced AI use by my junior/senior level students over the last two semesters, I have watched our students aided by AI, produce more strategic, well researched and well executed advertising and brand designs that far exceed their peers who are not using AI. I have seen the most progress in:
- organization
- accuracy
- time management
- writing skills
- iterative idea generation
- clarity of communication
- audience insights
- persona building
- animation
- automation of manual task
Their approach is more efficient and and happens much quicker allowing them more time for a more irrational process foe problem solving and concept generation and in turn allowing more time for refinement of initial design exploration, which lead to outcomes they far exceeded their expectations.
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In my 25-years as a design educator I have never seen this kind of student improvement and quality of outcomes in the above categories/areas.
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These students will — with a high degree of certainty— enter the market with a baseline knowledge of AI that will far exceed most of the more senior employees and management of the firms that will employ them. Most likely they will demonstrate better time management, process and modality engagement and organizational proficiency. Aided by AI and with an in-depth knowledge of AI they will be highly valued for their efficiency by offloading manual and time absorbing task like research, composing emails, etc. allowing them to be hyper focused on create problem-solving and more strategy solutions and outcomes.
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We would reserve class time to discuss the ethics and implications of using AI covering, authenticity, originality, IP volitions, copyright violations. Additionally, In compliance with our University’s Code of Academic Honesty they include citations and attributions to what AI sources were used.
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Like most of us, I’m both excited and a bit apprehensive about AI. I’m optimistic that AI can help elevate and augment a designer’s approach and creative outcomes. The difficulty I face and an educator is the unprecedented pace at which AI is expanding. There is no doubt they AI will get abused and it will require guidelines and policies that are currently non existent.
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