Beyond the Demo: Why Media Transformation Requires Process Overhaul

For media organizations, the initial rush to adopt generative AI following the launch of ChatGPT in late 2022 was characterized by rapid experimentation. Newsrooms moved quickly to integrate speech-to-text tools, writing assistants, and automated bias checkers into their workflows. Yet, as many executives have discovered, these individual use cases—while impressive in a showcase—rarely translate into meaningful bottom-line growth.

Ladina Heimgartner, President of the World Association of News Publishers (WAN-IFRA) and CEO of Ringier Media Switzerland, argues that the industry’s focus has shifted. After testing various AI applications, media leaders are finding that true transformation isn’t about speeding up existing tasks, but about rethinking the very processes that define them.

The Shift from Use Cases to Processes

The temptation for many organizations is to use AI to make legacy workflows faster. However, simply accelerating an inefficient process is a missed opportunity. According to Heimgartner, the critical question for media leaders is not how to perform old tasks with new tools, but rather identifying the necessary outcome and designing a new, lean process to reach it.

This approach draws on the “Jobs to be Done” framework. By focusing on the desired end result, organizations can often eliminate entire stages of a workflow that were previously necessary only because more efficient alternatives did not exist. At Ringier Media Switzerland, this strategy is being applied to their “Future of Sales” project, which involves a comprehensive redesign of their sales process landscape rather than an incremental update of existing methods.

The Challenge of Unlearning

A significant hurdle in this transition is the cultural challenge of “unlearning.” For established media companies, decades of institutional habit can stifle innovation. While showcases and demonstrations are valuable for inspiring teams and boards, they do not scale transformation on their own.

Heimgartner emphasizes that real return on investment (ROI) is found in the “unsexy work” of process redesign. A showcase may capture attention for an afternoon, but a redesigned process built around a clearly defined goal provides compounding value every day.

Key Takeaways for Media Leaders

• Focus on Outcomes: Don’t just speed up old workflows; identify the actual job that needs to be done and build a process backward from that result.
• Prioritize Process Over Showcases: While AI demonstrations are useful for inspiration, organizational transformation depends on systemic process integration.
• Embrace Unlearning: Success in the AI era requires letting go of outdated legacy workflows that no longer serve the organization’s strategic goals.
• Scale Responsibly: Models that perform well in a controlled demo environment often struggle to scale reliably in production, where accuracy and trust are paramount.

Looking Ahead

As media organizations continue to navigate the integration of AI, the focus is increasingly turning toward the human element. The question of whether AI will replace traditional roles is shifting from a technical debate to a cultural one. Future discussions will center on the role of humans in an “AI-in-the-loop” environment, where the ability to adapt, curate, and provide context remains a vital asset for publishers.

WAN-IFRA is currently conducting research on how publishers are responding to the impact of AI search and bot traffic. Industry professionals are invited to contribute their perspectives through the organization’s official survey, which is available in English, German, French, and Spanish.