Projektanci grafiki
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Ryzyko automatyzacji
Niskie ryzyko (21-40%): Zawody na tym poziomie mają ograniczone ryzyko automatyzacji, ponieważ wymagają połączenia umiejętności technicznych i skoncentrowanych na człowieku.
Więcej informacji na temat tego, czym jest ten wynik i jak jest obliczany, jest dostępne tutaj.
Ankieta użytkownika
Nasi goście głosowali, że nie są pewni, czy to zawód zostanie zautomatyzowany. Jednak pracownicy mogą znaleźć pocieszenie w wygenerowanym przez nas automatycznym poziomie ryzyka, który pokazuje 34% szans na automatyzację.
Jakie są Twoje zdanie na temat ryzyka automatyzacji?
Jakie jest prawdopodobieństwo, że Projektanci grafiki zostanie zastąpione przez roboty lub sztuczną inteligencję w ciągu najbliższych 20 lat?
Nastroje
Następujące wykres(y) są dołączane tam, gdzie jest znaczna liczba głosów, które umożliwiają uzyskanie sensownych danych. Te wizualne reprezentacje pokazują wyniki ankiety użytkowników na przestrzeni czasu, dostarczając istotnych wskazówek dotyczących trendów nastrojów.
Nastroje w czasie (kwartalnie)
Nastroje w czasie (rocznie)
Wzrost
Liczba ofert pracy na stanowisku 'Graphic Designers' ma wzrosnąć 2,6% do 2032
Całkowite zatrudnienie oraz szacowane oferty pracy
Zaktualizowane prognozy mają być dostępne 09-2023.
Płace
W 2022, mediana rocznej pensji dla 'Graphic Designers' wynosiła 57 990 $, czyli 27 $ za godzinę.
'Graphic Designers' otrzymali wynagrodzenie wyższe o 25,2% od średniej krajowej, która wynosiła 46 310 $
Płace z biegiem czasu
Objętość
Od 2022 roku zatrudnionych było 211 890 osób na stanowisku 'Graphic Designers' w Stanach Zjednoczonych.
To oznacza około 0,14% zatrudnionej siły roboczej w całym kraju.
Inaczej mówiąc, około 1 na 697 osób jest zatrudnionych jako 'Graphic Designers'.
Opis stanowiska pracy
Projektowanie lub tworzenie grafik zgodnie z konkretnymi potrzebami komercyjnymi lub promocyjnymi, takimi jak opakowania, wyświetlacze czy logotypy. Możliwe jest korzystanie z różnorodnych mediów w celu osiągnięcia efektów artystycznych lub dekoracyjnych.
SOC Code: 27-1024.00
Zasoby
Jeśli myślisz o rozpoczęciu nowej kariery lub szukasz zmiany pracy, stworzyliśmy przydatne narzędzie do wyszukiwania pracy, które może Ci pomóc zdobyć tę idealną nową rolę.
Komentarze
Zostaw komentarz
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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