How generative AI can help improve newsroom operations, retain subscribers, and reach new audiences is the focus of a new report released today by INMA.

10 Problems GenAI Solves for News Media Companies delves into how generative AI can help with:

• Reaching new paying audiences.
• Advertising and first-party data.
• Time-pressed readers who churn.
• Costs.
• Finding relevant content.
• Unhappy print customers and churn.
• Busy audiences who struggle to read.
• Meeting user needs.
• Staffing.
• Trust.

Click here to download the report

Per the report, generative AI has introduced new options and resources to these challenges news organisations have struggled with for years. And news media companies have wasted no time in exploring and integrating these solutions. 

Written by INMA Generative AI Initiative Lead Sonali Verma, 10 Problems GenAI Solves for News Media Companies is designed to illustrate how news companies are adapting to a GenAI-driven world and solving universal problems that have long been a source of concern.

The report is the second of three “mini reports” offered by INMA and Verma this year, each addressing different aspects of our changing GenAI environment. Each report is drawn from conversations and insights with leaders at companies around the world and provides learnings and case studies that are actionable, timely, and relevant. 

INMA’s first report in April, How Publishers Are Using GenAI Right Now, broke down what news media companies are doing with GenAI to improve workflow efficiency and consumer-facing products.

This second installment looks at how news organisations around the world are leveraging AI to solve common industry problems, and includes case studies from Nikkei, Times Internet, Clarín, FAZ, Daily Maverick, OVB Media, Bild, The Washington Post, Medien Hub Bremen-Nordwest, Schibsted, DPG Media, India Today, and Der Spiegel.

10 Problems GenAI Solves for News Media Companies is available for free to INMA members and for purchase by non-members at INMA.org/reports.

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