"The good news is that tech companies will face pressure in the year ahead to bolster the information ecosystem. As competition heats up between OpenAI, Google, Anthropic and other tech companies, there will be real pressure to create chatbots and agents that do more than write bad poetry. Those giants know their success is dependent on convincing people their products are trustworthy and reliable."
"That means we'll see greater emphasis on building products that deliver real utility. With nearly a billion people around the world using AI every week, the cost of high-visibility mistakes - like telling people to eat rocks or encouraging your customers to kill themselves - will drive the platforms to invest in trust and safety initiatives that protect their bottom line."
"A handful of global publishers will benefit from ongoing licensing deals that let AI platforms leverage their reporting to summarize current events in answer to direct news queries. But companies like OpenAI and Google simply don't need that much journalism to meet their users' needs: Searching for news will remain a small subset of the broader applications of generative AI."
Tech companies will intensify efforts to improve information quality in 2026 as competition among major AI firms pushes development of more useful, trustworthy chatbots and agents. Platforms will prioritize trust and safety to avoid costly, high-visibility mistakes and to protect their business as nearly a billion people use AI weekly. Tech firms will acquire ground truth data for training and augmentation, and a small number of global publishers will gain from licensing deals that allow platforms to summarize current events. Searching for news will remain a minor portion of AI use, so companies will seek ground truth through paths that do not rely on newsrooms.
Read at Nieman Lab
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