NYT Cooking tests AI recipe tweaks, raising trust questions

The New York Times is testing an AI feature in its Cooking app that suggests modifications to recipes, including ingredient substitutions and equipment alternatives. Senior editor Genevieve Ko announced the feature last Friday, and user response has already been divided.

Why it matters

The NYT Cooking app has built its reputation on recipes tested and approved by editors. By adding AI-driven suggestions, the company is shifting from static, editor-led content to something more adaptive. This could help users with dietary restrictions or missing ingredients, but it also introduces a new risk. Some users question whether AI-generated advice can match the reliability and authority that the NYT Cooking brand has established.

According to The Verge, the announcement sparked immediate debate. Some cooks welcome the flexibility, while others worry that automated tweaks could introduce errors or undermine the trust they place in the app. The discussion is playing out in social media comments and direct feedback to the company.

How the AI feature works and what users are saying

The new tool can recommend substitutions for both ingredients and equipment, and can scale recipes. The Verge reports that the company has not disclosed which AI model is being used or how it is trained. The feature is still in testing, and feedback is mixed.

Some users like the idea of adapting recipes to what they have on hand. Others are skeptical about the quality of AI-generated substitutions. A common concern is that a poor suggestion could ruin a dish and erode confidence in the app’s guidance. The Verge notes that this debate is happening both on social media and in feedback sent directly to NYT Cooking.

This rollout comes as other companies are tightening controls on AI systems, as seen in recent changes by OpenAI. The NYT Cooking test puts the tradeoff between convenience and trust in the spotlight for consumer apps.

What this means if you run a business

If your product is built on expertise or editorial authority, the NYT Cooking rollout is a warning to plan carefully before adding AI-generated content. AI can make your app more useful and adaptive, but it also creates new risks. When users expect reliability, even a single bad suggestion can damage trust and spark backlash.

For companies with strong editorial or expert-driven brands, it is important to separate human-verified content from machine-generated advice. Make it clear to users which is which, and be ready to respond quickly if feedback turns negative. The way you present AI features can affect how much users trust your brand, especially if they feel the core value is being automated away.

Adding AI to a consumer-facing app is a change in the relationship between your product and its users. If trust is central to your brand, the cost of getting it wrong is more than a technical issue, it can be a reputational risk that is hard to repair.