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How AI will reshape traditional marketing strategies

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How AI will reshape traditional marketing strategies

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How AI will reshape traditional marketing strategies

How AI will reshape traditional marketing strategies

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Nov 22, 2024

Updated Nov 22, 2024

Adobe’s 2025 Prediction is Raising Eyebrows: Here’s Why It Could Reshape Marketing Forever

A year ago, the buzz was all about how AI was changing marketing strategies. Now, Adobe’s prediction for 2025 has everyone talking, and it’s bigger than anyone expected.

Adobe forecasts that by 2025, generative AI will become the cornerstone of creative marketing, with brands creating high-quality, personalized content in real time, tailored for individual consumers across channels. The implications? A complete overhaul of traditional marketing methods and a demand for unprecedented levels of efficiency and creativity.

Let’s put that into perspective.

The Current State: A Struggle to Keep Up

Marketing teams everywhere are battling to produce content fast enough to meet growing demands. In Adobe’s own operations, Black Friday 2023 required the creation of 52,000 unique assets across languages, products, and channels. This monumental effort strained resources, leaving other campaigns starved for attention.

Source: Learnings from top-performing advertisers for 2023 by Confect.io

It’s easy to see why it’s essential to create new ad content steadily.

And Adobe isn’t alone. According to Ascendant Network’s research, 59% of marketers report facing significant content production challenges. The traditional process—drafting briefs, waiting for assets, and endless review cycles—is simply too slow.

The rise of generative AI is already helping. Tools like Adobe’s Generative Fill in Photoshop and Generative Recolor in Illustrator have reduced repetitive tasks for designers, freeing them to focus on higher-value projects. But Adobe’s prediction takes this further.

The Bottleneck to Break: Real-Time Personalization

According to Adobe, the future of marketing will revolve around real-time, AI-driven creative optimization. Gone will be the days of static campaigns designed weeks in advance. These days, the average time to market varies from 3 to 8 weeks. Instead, AI will generate dynamic, personalized ads and messaging on the fly—a leap that could make today’s strategies feel archaic. However, the market participants anticipate that this could happen not earlier than in 2029.

In the latest report by Yieldmo, executives shared numerous ways they are currently using AI in the creative process:

• Creative ideation/brainstorming

• Creative storyboarding

• Content generation - this mostly refers to blogs and SEO campaigns

• Testing creative variations

• Translation and localization

• Generating audiences

• Sentiment analysis and clustering

Having said that, display and social ad production is far from being boosted by AI.

Source: Ascendant Network interviews.

This isn’t just hype. Ascendant Network’s 2024 benchmark study found nearly 70% of marketing leaders are already using AI for creative processes. Top expected wins include:

  • Faster speed to market

  • Streamlined testing of creative variations

  • Cost efficiencies through automation

Still, some caution remains. Industry leaders worry about maintaining brand safety and balancing human oversight with machine autonomy. As one financial services VP put it, “The more you learn, the less you feel like you know. AI is evolving so rapidly.”

The Big Opportunity: Generative AI as a Growth Driver

If Adobe’s vision holds true, the ability to scale content production effortlessly could unlock a competitive advantage. Consider these examples:

  • Efficiency gains: Adobe’s internal team cut production costs by one-third by adopting generative AI for SEO content and campaign visuals.

  • Agility under pressure: A pharmaceutical company noted it now compresses its storyboard timelines from weeks to hours, enabling faster campaign pivots.

  • Data-driven creativity: Marketers are increasingly relying on AI to analyze performance data and autonomously test thousands of creative iterations, optimizing for engagement and ROI.

In Adobe’s case, generative AI isn’t just helping to close the content gap—it’s redefining what’s possible for speed, scale, and strategy in marketing.

What Does This Mean for You?

The tools that make Adobe’s prediction possible are already available. One standout is Viewst, an AI-powered platform that enables teams to create high-impact, multi-channel content at lightning speed. With Viewst, marketing teams can:

  • Produce on-brand visuals and copy tailored for diverse audiences.

  • Speed up production of HTML5 banner ads by 23x

  • Optimize performance using real-time insights.

  • Reduce reliance on external agencies, cutting costs without compromising quality.

This is where the future is heading: a seamless, AI-first approach to marketing that’s both powerful and accessible. It’s especially important, in the ever-expanding banner ad market, to maintain a fast production pace and outshine the competition with high-quality, highly personalized ads.

Don’t Get Left Behind: See the Future of Creative AI in Action

To help you explore this transformative technology, Viewst is offering an exclusive private demo. See firsthand how it can revolutionize your creative process—without any commitment or obligation.

Book your spot today and discover how to future-proof your marketing strategies before 2025 arrives.

Author
Author
Author
Founder, CEO at Viewst
Founder, CEO at Viewst
Founder, CEO at Viewst

Victoria is the CEO at Viewst. She is a serial entrepreneur and startup founder. She worked in Investment Banking for 9 years as international funds sales, trader, and portfolio manager. Then she decided to switch to her own startup. In 2017 Victoria founded Profit Button (a new kind of rich media banners), the project has grown to 8 countries on 3 continents in 2 years. In 2019 she founded Viewst startup. The company now has clients from 43 countries, including the USA, Canada, England, France, Brazil, Kenya, Indonesia, etc.

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