Implications of AI on Art Direction
AI is a hot topic. I was curious as to how it would impact my future. Through research, I stretegized a plan on how I will implement AI within my workflow to be prepared for the industry.
download for more details
My Strategy
- Learn MidJourney, Microsoft AI, & Google Notebook
- Use AI to prompt lighting set-ups, photoshoot mockups, posing ideas etc.
- Understand how to prompt AI from a technical standpoint and understand key wording and language
- Learn how to use AI for organizational purposes (file naming etc.)
How did I get there? Here’s my research on how it’s being used
Scenario 1: visual, used for innovativeness
Using Midjourney to create unique concepts, but numerous team revisions and feedback are done until met with the client’s standards. This allows more of a human touch to be involved in the campaign deliverables.
Scenario 2: visual, efficiency
Used to create deliverables under a tight budget and a three to four day timeline. Agency only repeats the process of prompting a few times before finalizing a fully AI generated deliverables.
Opportunities
Efficiency
You save hours of manual labor and keeps the creative flow going without being interrupted.
Creative iteration
You enter meetings with more refined and clearer ideas. You can give a real visual instead of having the client “picture it in their head.”
Personalization
AI allows art directors to deliver content tailored to specific audiences and formats. You can tailor languages and tones in the click of a button.
Research capability
AI can summarize articles, trend reports and brand histories in minutes. It can speed up competitor research and give the AD cultural context for a specific audience.
Accessibility
You can produce high-quality images within your fingertips without a production agency. Small budget or student-led teams can allow their concepts to become polished and professional. It allows greater access to those who don’t have expensive equipment.
Threats
Accuracy and Misinformation
An AD must manually adjust the image multiple times to get the look they want. They might have to put it another AI application to upscale the quality of the image.
Ethical Concerns + Job Displacement
Clients may start generating images rather than creative agencies to save on financials. This takes away from the concept of craft, authenticity, and originality. Also, AI is stealing art styles from other artists. It has replaced their careers almost fully.
Homogenization of Content (Lack of Creativity) + Trust
Work doesn’t end up resonating with an audience. Work can feel bland and without a spark. Clients have expressed low conceptual value and low trust because it doesn’t dive into the emotional aspect of things particularly well.
Privacy and Surveillance
According to Cavaird.Ai , they state there are multiple privacy challenges like “Data retention and memorization, unauthorized exposure of training data, potential for extracting personal information, privacy breaches in synthetic data generation.”
Bias in Algorithms
AI generated images favor white people instead of people of color. AI also underrepresents women when generating professionals in a field. These perpetuate harmful stereotypes and reflects the bias of who is programming this system.
How early-career jobs may change
-
Agencies will teach juniors how to interact with clients and will be a bigger emphasis on strategic work
-
AI has created more a demand of a generalist rather than a specialist (people well schooled in critical thinking)
-
Promotions may come faster since juniors may lead teams and present in front of clients
-
Relationship management increase of jobs
- Strategy is a huge money maker