✨ Artificial Intelligence in Graphic Design

Prepared by Illia Nezheviasov, student of group GD 25.3.

AI art

Timeline of AI Art 2015–2025
  • 2015 – DeepDream → memes full of dog eyes
  • 2016 – Style Transfer lands in the Prisma app
  • Above: “Belamy” (GAN) — sold at Christie’s in 2018 for $432,500. (GAN) at Christie’s = $432,500
  • 2021 – Beeple NFT „Everydays“ → 69 Mio $
  • 2023 – Midjourney v6 popularizes “prompt crafting”
  • 2024 – Robot Ai‑Da bricht 1‑Mio‑Grenze
  • 2025 – Christie’s: Augmented Intelligence (rein KI‑Kunst)

Examples of AI‑generated artworks Belamy (GAN)

Above: “Belamy” (GAN) — sold at Christie’s in 2018 for $432,500.

Robot painting live

Try it yourself!

Enter what to depict and click “Generate”:

Benefits of using AI in graphic design

  • Rapid creation of options and ideas
  • Automation of routine tasks
  • Content scaling

Risks and challenges

  • Legal issues and copyright
  • Template‑like output and lack of uniqueness
  • Ethical dilemmas of using AI

The future of human–AI collaboration

The designer sets direction and meaning, and the algorithm helps quickly generate dozens of options. The winner is the one who critically selects the best.

Ethics and transparency

  • AI labeling‑content
  • Non‑discrimination and accountability
  • The human remains the art ‑director

Automation of routine tasks

Automation of routine tasks
  • Object cut‑out’s, retouching, background replacement
  • Batch actions, automatic color replacement
  • Saving time on routine work

AI-image generators

AI-image generators
  • MidJourney, DALL·E, Stable Diffusion
  • Style control via prompts
  • Fast visual ideation

AI for UX/UI

AI for UX/UI
  • Auto‑generation of grids and components
  • Mockups from sketches and prompts
  • Iterations without overload

Creative collaborations

Creative collaborations
  • Human sets the task and criteria
  • AI boosts productivity
  • Shared authorship of the result

Rapid prototyping

Rapid prototyping
  • Dozens of variants for A/B tests
  • Quick selection of promising directions
  • Focus on quality instead of manual drudgery

Design personalization

Design personalization
  • Dynamic banners and illustrations
  • Replace elements per segment
  • Increased relevance

AI video generation

  • Short clips from a prompt
  • Animation, effects, titles
  • Video prototypes for campaigns

AI in advertising

AI in advertising
  • Unique visuals per brief
  • Scaling creatives
  • Lower production cost

Tools for designers

Tools for designers
  • Adobe Firefly, Runway, Canva AI, Figma AI
  • Plugins, integrations, API
  • Ecosystem thinking

Conclusion: human–machine symbiosis

Conclusion: human–machine symbiosis
  • Designer as curator and editor
  • AI as an acceleration tool
  • Quality > speed