With the rise of digital and portable cameras, the way we create and consume visual content has undergone a significant transformation. Today, advancements in algorithms are driving a new wave of innovation in both visual creation and consumption. Artificial Intelligence is becoming increasingly skilled at filtering, managing, and analyzing images, which has changed how companies and designers approach visual storytelling. This article is based on the original Venturebeat piece titled "AI is Changing the Way Creators and Brands Work with Visuals."
**Collecting Visual Material at Scale**
Over the past decade, falling hardware costs, faster processing speeds, and growing data sets have revolutionized visual computing. Technology has reshaped the entire creative workflow—from concept and shooting to editing, distribution, and discovery. The gap between smartphone cameras and professional equipment is shrinking rapidly, making high-quality photography accessible to everyone. Photos taken on an iPhone can now appear on magazine covers and ads, proving that quality is no longer a barrier.
Portable cameras continue to improve with each release, and more people are striving to capture attention through their visuals. But how do we ensure that the best content stands out amidst the noise?
This challenge is too big for humans alone. Every day, millions of photos are uploaded, making it impossible for one person to manage them all. That’s where AI comes in. Image-sharing platform EyeEm uses AI to identify which photos are suitable and which are not. The only way to handle this massive volume of data is through technology.
AI also assists designers by analyzing camera images and suggesting the best photos for upload. Uploading images can be overwhelming, but AI tools like these simplify the process, offering guidance and encouragement to photographers. These systems can even run offline, ensuring privacy and security without uploading any data to servers.
**Sorting by Relevance**
When users search for images, they often look for something specific—whether it's for a project, inspiration, or personal use. Personalized search results have become essential, and AI is helping make this possible.
Brands can leverage AI to find images that align with their style or brand identity. Machines can analyze photos, extract relevant details, and continuously learn to better understand what a brand needs. For example, researchers can train AI to find the most visually aligned images in a library, streamlining the creative process.
**The Real ROI of AI**
The excitement around AI is well-founded, and its return on investment is real. Online advertising has surpassed TV spending, which itself is a $72 billion industry. Social media advertising alone has hit over $40 billion. Computer vision technologies are being used to explore how visual elements impact customer behavior, including switching, retention, and engagement.
AI has a major role to play in marketing, from content creation and editing to predicting event outcomes and visual impact. While these technologies may seem to replace human roles, I believe they empower us instead. Machines won’t take over the photographer’s job—they’ll enhance efficiency, allowing creators to focus on what truly matters: innovation and artistic expression.
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