From the course: 20 Rules for Visual Communication
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How our demand for visual communication fuels AI
From the course: 20 Rules for Visual Communication
How our demand for visual communication fuels AI
- [Instructor] Perhaps the best proof of our inherent demand for visual communication is displayed in our vigorous adoption of text-to-image generative AI. While text-to-image generative AI has been in the works for decades, most people first experienced it with the release of Open AI's DALL-E in January of 2021. Shortly after, Midjourney, Stable Diffusion, and Adobe Firefly came on the scene to join the veritable explosion of generative AI tools in a horse race to dominance. At the time of this filming, roughly 34 million images are generated by AI every single day, and four out of five people have used AI to generate images at least once. While Gen Z is the most likely to create visual content with AI, the drive to communicate visually has led to wide adoption of AI across all generations. Heck, even baby boomers are getting in on the fun. In a world where visual content is in such high demand, generative AI provides abundant efficiencies to go from concept to final product in less…
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