Publishing Sector Scorecard - Thematic Intelligence

Publishing Sector Scorecard - Thematic Intelligence

Summary

Publishing companies have been immediately affected by the latest developments in artificial intelligence (AI). For example, in May 2023, Chegg’s shares fell by half after the chief executive admitted that AI chatbot ChatGPT was negatively affecting sales.

Key Highlights

However, some companies have responded quickly and begun building their own AI tools. For example, Chegg has launched its own chatbot, CheggMate, using OpenAI’s Chat GPT-4. Despite this, Chegg has a score of 2 out of 5 in the AI theme, as reacting to new developments in AI will not be enough to stay competitive.

Publishing companies must preempt how AI will transform the industry to avoid being blindsided again. AI could also have repercussions for publishing companies as lawsuits will increasingly emerge over what content can be used to train AI algorithms. Many will also need to monitor how AI could potentially scale the future production and spread of misinformation.

Scope

• This sector scorecard provides a top-down, comprehensive outlook for the key players in the publishing sector over the next two years, based on the key themes set to transform their industry landscape.

Reasons to Buy

• Companies that invest in the right themes become success stories. Those that miss the important themes in their industry end up as failures.
• GlobalData’s thematic research ecosystem is a single, integrated global research platform that provides an easy-to-use framework for tracking all themes across all companies in all sectors. It has a proven track record of identifying the important themes early, enabling companies to make the right investments ahead of the competition, and secure that all-important competitive advantage.
• At GlobalData, we have developed a unique thematic methodology for ranking all major companies in all major sectors based on their relative strength in the big themes that are impacting their industries.
• Our thematic engine tags over 145 million data items across five alternative data sets—patents, jobs, deals, filings, and news—to themes. The vast datasets within our thematic engine help our analysts to produce sector scorecards that identify the companies best placed to succeed in a future filled with multiple disruptive threats.