Generative AI is transforming marketing

While 60% of organizations reported implementing or actively exploring generative AI in marketing as of October 2023, nearly 80% allocated budget to integrate it into their marketing initiatives in 2024 or expressed plans to do so.

Is your marketing organization primed to take advantage of this technology?

Generative AI is changing the face of marketing. From creating highly personalized content to determining the optimal connection points with customers and even generating new insights and creative ideas, this technology is fundamentally changing the way content is created and distributed. 

Unlocking value through Generative AI investment

In our recent point of view, Effective investment in generative AI for marketing, we explore this phenomenon in greater detail and look at the steps marketing organizations are taking to unlock the advantages of this technology today, while also positioning them to access the full range of benefits that will expand across the content lifecycle as more adoption barriers fall.

The content gap and why it matters

Traditional broad-segment marketing is no longer effective. Instead of targeting large demographics, modern marketing focuses on individual customer needs, behaviors, and intent. Audiences now expect content that is relevant, timely, and personalized across every touchpoint.

This shift is driving a sharp rise in content requirements. Organizations may need up to five times more content than they produce today. At the same time, marketing teams face tighter budgets and increasing pressure to deliver measurable results.

Generative AI helps solve this challenge by enabling marketers to quickly create personalized and context-aware content such as text, images, videos, and audio at scale. By accelerating content creation and improving efficiency, generative AI allows brands to meet growing content demand while keeping costs under control.

Key insights on Generative AI in marketing

  • Closing the content gap with Generative AI
    Find out how marketing organizations can leverage GenAI to support the exponential increase in content creation without compromising quality or increasing costs.
  • Enabling a truly personalized content strategy
    Explore how embedding GenAI through the content lifecycle can not only help create highly relevant and meaningful interactions but also ensure messages are delivered to the right person, at the right time via the preferred channel.
  • Leveraging data to amplify marketing outputs
    Discover how organizations can use traditional and generative AI to layer real-time customer insights over their historical data to devise an individualized content strategy.
  • Laying the digital foundation to drive value with AI
    Examine how to establish a robust foundation conducive to AI integration, considering factors such as change management, copyright and brand integrity, data management, sustainability, and software composability, to effectively capitalize on the value of this technology.

Overcoming Challenges in generative AI Adoption

While generative AI is transforming marketing, organizations recognize that adoption comes with challenges.

Managing risks and adoption barriers

Organizations must address issues such as legal risks, brand consistency, and data privacy when integrating generative AI.

Practical toolkit for AI implementation

A comprehensive toolkit helps organizations select the right generative AI tools, create pilot frameworks, and manage legal and operational challenges.