Tags: AI usage

Research shows that using generative AI to craft personal messages such as birthday wishes, love letters, or wedding vows can trigger strong feelings of guilt. The discomfort stems from a mismatch between the perceived author and the actual AI source, especially when the recipient expects genuine effort. Transparency can lessen the emotional hangover, and experts suggest treating AI as a thinking partner rather than a ghostwriter. This approach helps preserve authenticity while still benefiting from AI’s drafting assistance. Read more

OpenAI’s Signals data, drawn from millions of consumer messages between July 2024 and the end of 2025, reveals three primary ways people interact with ChatGPT: asking for information, doing tasks, and expressing thoughts or feelings. The expressive category appears consistently, especially among users aged 18 to 34, indicating that many treat the chatbot as a space for personal reflection. The analysis excludes enterprise customers and notes that OpenAI does not operate in several countries, including China, Russia, and North Korea. Future updates will track whether expressive use continues to rise. Read more

A Deloitte survey of U.S. consumers shows that while more than half are experimenting with or regularly using generative AI, a majority also express strong worries about privacy and security. About four in ten respondents pay for AI services, yet concerns about data misuse, inaccurate results, and companies’ focus on competition over problem solving persist. Users increasingly verify AI outputs and remain reluctant to share personal data, highlighting a trust gap that tech firms must address. Read more

A recent Deloitte survey shows that while a majority of U.S. consumers are actively using or experimenting with generative AI, they also express strong concerns about privacy, data security, and the trustworthiness of tech companies. More than half of respondents pay for AI services, yet many still verify AI‑generated information and are reluctant to share personal data. The findings highlight a paradox: rapid adoption of AI alongside growing skepticism about its impact and the motives of the firms behind it. Read more