Canadian graphic designer Jean-Pierre Lacroix explains how creative agencies and brands can make better use of generative AI by using it to expand team creativity.
As in the past I came across this article on the Web and thought it both interesting and inspiring. Given our challenging times, I think you will too. Enjoy!
Every brand and agency is trying to tap into the promise of generative AI. So far, the results don’t always meet expectations. Is that so surprising? AI is brand new technology that no one fully understands, including its creators. Right now, we’re in an era that calls for experimentation. Results will come, but maybe not how we imagine. In the meantime, we must adopt a human-centered approach to AI, enabling creative teams to use AI as a platform for thinking differently and learning.
So far, the best AI brand activations aren’t AI-generated ads or design. Successful examples of creatives using AI have a distinctly human perspective. For example, Heinz created an ad showing the audience what happens when they prompt AI to create images of ketchup: it reproduces hundreds of variations of the iconic Heinz bottle design. No matter how they try, according to the ad, they can’t get AI to drop the Heinz label because it’s synonymous with ketchup.
Although the ad shows AI-generated imagery, Heinz is cleverly using AI to make a point about their brand rather than to generate and execute a creative idea.
On the other hand, when companies try to generate creative using AI, even the best work requires enormous human effort and it doesn’t always come off well with consumers. That may change, but today, AI-generated material just doesn’t look and feel right. The fear that AI will take jobs away from humans causes concern in some scenarios, for example with the use of AI-generated models.
How should creative teams be using AI today? It’s about testing and learning to develop skills and confidence. No one can say for sure how AI models will evolve but being prepared means teams need to start experimenting now.
Key considerations for AI experimentation
Create a cross-functional team assigned to explore AI tools relevant to their roles. Tracking and testing new models, staying informed about potential legal concerns and gathering case studies will ensure you have a strong foundational knowledge to guide decision-making.
Establish guidelines for AI use at your company. You’ll need someone who’s on top of legal matters, keeping in mind that various legislation is pending in many regions. You also need to understand how your consumers or clients perceive AI. Although there are some who hate AI no matter the circumstances, for most people, context matters. Conduct research with your stakeholders to make sure your intended uses align with their preferences. Provide your team with an approved list of licensed tools to use and establish a process for testing new ones.
Try, fail, try again. At our company, we created an AI self-assessment platform that allows brands to evaluate their design against a competitor through the lens of our branding philosophy. This was a test-and-learn scenario that resulted in numerous unsatisfactory iterations, ultimately leading to a beta model that runs well, albeit with some caveats. (You can test it for yourself.) As we continue to improve the tool, our team continues to learn. Don’t expect perfection because you won’t get it. Building confidence, knowledge and skills should be the goal.
Be transparent. If you work with clients, gauge their comfort level with AI and give them the option to opt out if you intend to make it part of your workflow. Something as simple as AI notetaking may run counter to privacy policies, for example.
Protect your privacy and the privacy of clients. Before using any AI platform, ensure your IT team reviews their data policies. This brings us back to establishing guidelines. Ensure that everyone at your company is aware of which platforms they’re permitted to use, and that the appropriate people have licensed accounts where data will be kept confidential.
Better, faster creative? Not yet
The hype around AI may lead some to think creative work can be completed faster and at a lower cost. At this stage, efficiency-finding with AI is only possible if you significantly lower your standards. Most creative agencies and brands would likely agree that AI can be useful in ideation but isn’t as helpful in execution.
For example, we’ve found that even when given clear design guidelines, it’s very difficult for AI to create final art for packaging that works in real life. We’ve found it useful for editing images, brainstorming a hundred ways to depict a watermelon and general ideation. But so far, human creatives are still significantly better at everything else.
AI does a decent job writing emails and copy for social media, but that too is bumping up against some limitations. Consumers are starting to recognize the tone of AI-generated copy and they find it grating.
AI is best suited to help structure content, create headlines and keywords and clean up copy. Marketers shouldn’t let their writing skills decline! AI can decipher what makes a clickable headline, but it doesn’t have any fresh ideas – it’s a solid Beatles cover band, but it’s no Lennon or McCartney.
Where we’ve found it most useful is with coding, where it helps us do more in a shorter time frame. However, teams still need to be proficient enough to know how to prompt for the right code and how to correct mistakes.
The human connection gap
One of the most common consumer-facing uses of AI is chatbots. They give us insight into the human connection gap that can occur with AI. Although serviceable and polite, AI chatbots annoy people. We know they’re not human and this changes the way we treat them.
Consider the Taco Bell drive-through incidentwhere a customer derailed an AI chatbot by ordering thousands of glasses of water. In cities with fleets of self-driving cars, they often get stuck and cause traffic jams because drivers won’t let them in the way they would a human driver.
Then there are the many incidents of people assaulting robots, especially humanoids. As much as we love a fun tool to play with, creatives can’t ignore the dehumanizing potential of AI.
How do we deal with this? The answer isn’t ignoring AI but learning how to use it to support human ideas and interactions. If what the utopia tech companies are selling is achievable, it will be because users engage with it thoughtfully. Creative teams are in a great position to lead this kind of conscientious, intelligent use of AI.
Hopefully making a ruckus, one blog post at a time!
Be sure to check out my other blog, Joe’s Journey, for selected short stories and personal insights on life and its detours.
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