Skip to main content

Adobe Survey - Why Marketers Have High Hopes for Generative AI in Content Creation?

Marketers hope generative artificial intelligence will help them give each customer the personal touch they now expect. They see customers asking for messages, images, and offers that feel made just for them. This new technology can speed up content creation and add unique details that speak directly to individual needs.

Adobe Survey - Why Marketers Have High Hopes for Generative AI in Content Creation?
With more than 500,000 content assets per year, it is almost impossible to do without generative AI

An Adobe study shows that marketers face growing pressure to roll out fresh material all the time. It finds that today’s teams must publish more blog posts, social updates, videos, and emails than ever before. Marketers now feel a constant push to innovate and keep their audiences engaged with brand-new content.

Adobe surveyed over 408+ marketers to understand how content needs have changed. About 80 percent of those marketers say that demand for content has risen in the past two years. They report a steady and noticeable increase in requests for articles, videos, and other materials. These marketers now face higher workloads to keep up with audience needs.

Nearly half of the surveyed marketers expect an even bigger jump. They predict at least a fivefold increase in content demand soon. Many of them plan to expand their teams and tools to meet this surge. They aim to stay ready for rapidly growing requests.

Looking ahead to 2027, 71 percent of marketers expect content demand to at least double. They anticipate even more audience engagement and platform needs. They will adjust their strategies and budgets to handle this growth. They want to ensure they can deliver enough high-quality content on time.

More than half of those surveyed said that their target audiences now expect fresh content weekly or several times a week. This shift puts pressure on content creators and marketing teams to plan and produce material more often.

Social media platforms like TikTok, Instagram Reels, and YouTube Shorts drive this trend by encouraging short, engaging videos. Marketers report that these formats help them reach and engage audiences quickly.

Forty-three percent of marketers say they see the fastest growth in demand for short social video content. Surveys and quizzes come in second place, with thirty-three percent of marketers reporting increased interest. Live streams and events follow at thirty-one percent, rounding out the top three.

Thirty-nine percent of respondents say the biggest challenge lies in creating brand-compliant content in a very short timeframe. They must follow strict brand guidelines, maintain high quality, and meet tight deadlines. They find this task especially demanding when time runs out.

Almost one third report that they involve more than one hundred people to write, review, and approve each content piece. They share drafts, collect feedback, and adjust the text until everyone agrees. Meanwhile, eighty percent of respondents manage three or more approval friends as a normal part of their daily workflow. They juggle multiple opinions and final sign-offs before publishing.

Marketers face a huge yearly workload. They must develop many marketing assets such as blog posts, social media graphics, videos, and email templates. Creating all these items requires a lot of planning, design, and writing. This heavy load drains time and resources on marketing teams.

A survey found that 42 percent of marketers deliver between 10,000 and 500,000 assets each year. Another 8 percent of marketers produce even more assets annually. These figures show how marketing teams push out a huge volume of content every year.

To address this situation, marketing managers are increasingly turning to generative AI in the content production process. They use AI tools to draft blog posts, social media updates, and marketing emails. These tools help them brainstorm ideas, refine wording, and speed up writing without losing quality.

A recent survey shows that 59 percent of marketing managers say they are already working with AI in their content workflows. Another 83 percent plan to adopt AI tools by 2026. They aim to optimize workflows, cut down repetitive tasks, and produce content more efficiently.

Comments

Popular

AI-Based Marketing Strategies Ad Performance Tracking with Real-Time Insights

In today’s data-driven advertising world, traditional analysis methods often fail. AI helps overcome these limits. It can quickly process complex data streams and provide real-time market analysis. This leads to big changes in the ad industry. It starts with combining all data and goes all the way to analyzing visual content.  Artificial intelligence and marketing merge more and more To develop precise marketing strategies, teams must process vast amounts of user clicks, impressions, and sales data. Manual measurement methods cannot keep up. Teams face long delays and high costs when they analyze that data by hand. These delays hurt timely decision-making. Advertisers face constant pressure to track market trends in real time. They need fast feedback on campaign performance. With real-time data, they can shift budgets to channels that deliver the best results. This agile approach keeps them ahead of competitors. AI systems can automate data cleaning, sorting, and analysis in second...

Generative Ai In The Development & Validation Of Advertising Materials - Chatgpt & Co In Practical Testing

We've been using ChatGPT for a while now. We use it to help with desk research. It helps us find sources and existing studies on topics that matter to us. We also use it to shape our study designs and build the structure for our questionnaires. ChatGPT helps us write and fix syntax commands too. We use these commands for descriptive data analysis. But we don’t only rely on ChatGPT. Alongside it, we also use Copilot and Claude from Anthropic. Each tool supports different parts of our work. We wanted to find out if generative AI tools could also help us create and test advertising materials. Our main goal was to make advertising that fits specific target groups. We also wanted to spot chances for improvement early in the process. This would allow us to discuss these improvements with the agency and the campaign management team before the ads go live. That is why, over the past few months, we have been testing how useful large language models can be in advertising effectiveness. We tr...