How AI Could Help a Web3 Newsroom: 12 Use Cases

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How AI Could Help a Web3 Newsroom: 12 Use Cases

As questions about artificial intelligence dominate every industry—from crypto to law to farming—it’s only natural that newsrooms, too, are weighing the promise and the peril, predicts a recent Axios newsletter. The media companies that survive—and thrive—will be those that adapt quickly to fast-changing consumer needs. This article explores how a Web3-focused publication, such as CoinDesk, could smartly use AI in the future.

The Partnership on AI has grouped the role for AI in newsrooms into three buckets: Lead Generation and Investigative Tools, Content Creation and Distribution, and Audience Engagement. Here are 12 ways that Robot Journos could help a Web3 newsroom:

1. Spot trends and insights from large pools of data
2. Analyze social media trends
3. Help brainstorm story ideas and angles
4. Write (low stakes) automated news articles
5. Quickly translate technical papers for a mainstream audience
6. Summarize crypto-adjacent news
7. Extract insights from long videos
8. Create AI chatbots
9. Facilitate better reader comments and interactions
10. Quickly transform content to publish across other platforms
11. Scale and automate social media
12. Customize the news reading experience

Though AI should not replace human writers and editors, it could be leveraged as a tool to support sustainable journalism. AI could give a boost to small local newsrooms, for example, which might otherwise be headed for extinction. It could also be used to knock out lower stakes stories that would otherwise fall through the cracks, quickly summarize and synthesize videos, create AI chatbots, facilitate better reader comments and interactions, quickly transform content to publish across other platforms, and scale and automate social media.