AI Tools Emerge to Automate Creative Agency Tasks

Why it matters

Tools like AdCreative.ai, Pencil, and Smartly.io are at the forefront of automating creative production, enabling teams to generate numerous ad variations in seconds. AdCreative.ai uses performance scoring to predict which designs will drive the best results, while Pencil can generate both video and static ads with predictions on their performance. For larger enterprises, Smartly.io is designed to handle the creation of thousands of ad variations each month. The core function of many of these new AI tools is to programmatically create ad assets by pulling directly from a product catalog. Platforms like AdGPT.com can generate a unique static and video ad for every single product in a catalog with just one click. This automation significantly reduces the time and cost associated with traditional creative production, which can be up to 400% slower. Beyond static ads, AI is making significant inroads in video creation. Tools like Creatify and InVideo specialize in generating video ads, a traditionally time-consuming and expensive process. Some platforms, such as Opus Clip, can even repurpose long-form video content by identifying impactful moments and creating shorter, viral-ready clips. This allows brands to scale their video content strategy much more efficiently. The analysis of viral content is also being automated. AI tools can now decode the elements of successful TikTok videos to inform creative strategies. These platforms analyze factors like visuals, sound, and timing in real-time to predict a video's potential to go viral. This data-driven approach allows creators to make adjustments before publishing to improve their chances of high engagement. This automation trend is forcing a shift in the traditional agency business model. With AI handling more of the repetitive and time-consuming creative tasks, agencies are freed up to focus on higher-level strategy and data analysis. The ability to rapidly test hundreds of ad variations allows for quicker optimization and a greater focus on campaign performance. This shift is expected to enhance productivity, with some estimates suggesting AI could boost marketing productivity by 5% to 15% of total marketing spend. Venture capital investment in ad tech is surging again after a dip in 2024. In the first quarter of 2025, VC-backed companies raised over $80 billion, with a significant portion flowing into AI-related ventures. AI and machine learning deals accounted for 65.6% of US venture capital funding in 2025, a notable increase from 46.4% the previous year. This influx of capital is fueling the development of new AI-powered tools for advertising and marketing.

Key numbers

• This automation significantly reduces the time and cost associated with traditional creative production, which can be up to 400% slower.
• This shift is expected to enhance productivity, with some estimates suggesting AI could boost marketing productivity by 5% to 15% of total marketing spend.
• Venture capital investment in ad tech is surging again after a dip in 2024.
• In the first quarter of 2025, VC-backed companies raised over $80 billion, with a significant portion flowing into AI-related ventures.

What happens next

• AdCreative.ai uses performance scoring to predict which designs will drive the best results, while Pencil can generate both video and static ads with predictions on their performance.
• This shift is expected to enhance productivity, with some estimates suggesting AI could boost marketing productivity by 5% to 15% of total marketing spend.

Sources

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• tool reportedly
• another automates
• Tools like AdCreative
• The core function of
• Platforms like AdGPT
• This automation significantly
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• Some platforms, such
• AI tools can now decode
• These platforms analyze
• With AI handling more
• This shift is expected
• Venture capital investment
• In the first quarter
• AI and machine learning
• This influx of capital

Quick answers