An unprecedented study published by OpenAI shows how users utilize ChatGPT in their daily routine.An unprecedented study published by OpenAI shows how users utilize ChatGPT in their daily routine.

ChatGPT, the turning point in usage: 1.5 million chats reveal habits and priorities

openai chatgpt

An unprecedented study published by OpenAI shows how users employ ChatGPT in their daily routine. The analysis of 1.5 million consumer chats, collected between May 2024 and June 2025, reveals that 73% of interactions occur for personal purposes – a significant increase compared to the previous approach, where about 50% of cases were not work-related. Three prevalent areas emerge: practical guidance (28.3%), writing support (28.1%), and information seeking (21.3%). 

In parallel, the data outline a younger audience and, compared to previous periods, a reversal of the gender gap: over 50% of users are in the 18–25 age range and 52% of profiles, identified through names, are female. In this context, the spread of AI is expanding and changing composition. The working paper describing the dataset was released by OpenAI and was presented at the National Bureau of Economic Research.

According to the data collected from the study and the checks by the Editorial Team, the three main categories are also robust on regional subsamples. Industry analysts note that the increase in personal uses is consistent with similar trends identified in independent research conducted in 2024–2025, confirming a transition towards conversational services for daily support.

Key Numbers

  • Sample: 1.5 million consumer conversations authorized for research use.
  • Period: May 2024 – June 2025.
  • Privacy: analysis conducted on opt-in accounts, with pseudonymized conversations automatically classified by artificial intelligence models.
  • Gender (proxy on names): 52% of users are identified as female, a significant shift from the male dominance observed in 2022–2023.
  • Age: over 50% of users fall within the 18–25 age range.
  • Non-work usage: 73% of conversations pertain to personal uses, compared to about 50% in previous periods.
  • Top categories: practical guide 28.3%; writing support 28.1%; information search 21.3%.
  • Personal relationships and reflections: 1.9% of conversations.

Implications and Impact

The data suggests an expansion of the audience and use cases: conversational AI is not confined to technical niches but becomes a cross-functional support for daily activities, study, and micro-decisions. Its adoption is markedly growing even in middle-low income countries, where users with a high level of education rely on ChatGPT to solve practical tasks. It should be noted that, at this stage, AI is competing with traditional search engines, offering brief, targeted, and immediately applicable answers.

What users are looking for (with percentages)

Practical Guide — 28.3%

The requests range from basic health, wellness, and recipes, to home organization and travel advice. Users prefer concise responses, structured step-by-step and immediately applicable, indicating that the chatbot is used for planning, comparing options, and avoiding mistakes. That said, there is also a strong demand for ready-to-use operational schemes.

Writing Support — 28.1%

In this field, the requests include editing, summaries, translations, and professional copy. ChatGPT acts as a productivity co-pilot, helping to refine texts, modulate tones, and speed up deliveries. Indeed, the perceived value lies in the speed with which it offers ready or easily adaptable versions.

Information Research — 21.3%

Interactions include requests for data, facts, updates on events, and information about people and products. The dialogic format reduces the “search cost” compared to traditional engines, allowing for contextualized and targeted responses. Yet, the ability to iterate with subsequent questions remains central.

Learning and tutoring — on the rise

Younger users, particularly in the 18–25 age range, require step-by-step explanations, quizzes, and personalized study plans. ChatGPT is perceived as a patient and helpful tutor, capable of filling gaps and clarifying complex concepts. In this context, the intense dialogue facilitates understanding.

Health and Wellness — part of the practical guide

The demands in this field mainly concern lifestyle advice and self-management, always accompanied by a clear disclaimer and the invitation to consult professionals for clinical matters. The approach, therefore, remains cautious.

Personal relationships and reflections — 1.9%

A small but stable segment involves conversations about emotions, relationships, and personal choices, managed through safety boundaries and with a non-judgmental tone. However, the share remains limited compared to more practical uses.

Typical Examples (anonymized)

User: “Prepare a weekly meal plan that is economical and balanced with 4 basic recipes.”

Assistant: list of dishes, shopping list, portion guidelines, and variations for intolerances.

User: “Make this email more professional and shorten the content by 30%.”

Assistant: concise version, formal tone, optimized subject, and clear bullet points.

Where it grows the most

The penetration of ChatGPT is significantly increasing in emerging markets, where users with tertiary education and greater access to digital technologies prevail, marking an effect of democratizing access to information. That said, the infrastructure gap remains a contextual factor.

Limits and caveats

  • Representativeness: the selection of opt-in users may not reflect the entire user base.
  • Automatic classification: algorithms can confuse multiple intentions or implicit contexts, introducing errors.
  • Proxy measures: identifying gender through names can introduce biases related to cultural specificities.
  • Product evolution: the introduction of new features can quickly change usage behaviors.
Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact service@support.mexc.com for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

Google's AP2 protocol has been released. Does encrypted AI still have a chance?

Google's AP2 protocol has been released. Does encrypted AI still have a chance?

Following the MCP and A2A protocols, the AI Agent market has seen another blockbuster arrival: the Agent Payments Protocol (AP2), developed by Google. This will clearly further enhance AI Agents' autonomous multi-tasking capabilities, but the unfortunate reality is that it has little to do with web3AI. Let's take a closer look: What problem does AP2 solve? Simply put, the MCP protocol is like a universal hook, enabling AI agents to connect to various external tools and data sources; A2A is a team collaboration communication protocol that allows multiple AI agents to cooperate with each other to complete complex tasks; AP2 completes the last piece of the puzzle - payment capability. In other words, MCP opens up connectivity, A2A promotes collaboration efficiency, and AP2 achieves value exchange. The arrival of AP2 truly injects "soul" into the autonomous collaboration and task execution of Multi-Agents. Imagine AI Agents connecting Qunar, Meituan, and Didi to complete the booking of flights, hotels, and car rentals, but then getting stuck at the point of "self-payment." What's the point of all that multitasking? So, remember this: AP2 is an extension of MCP+A2A, solving the last mile problem of AI Agent automated execution. What are the technical highlights of AP2? The core innovation of AP2 is the Mandates mechanism, which is divided into real-time authorization mode and delegated authorization mode. Real-time authorization is easy to understand. The AI Agent finds the product and shows it to you. The operation can only be performed after the user signs. Delegated authorization requires the user to set rules in advance, such as only buying the iPhone 17 when the price drops to 5,000. The AI Agent monitors the trigger conditions and executes automatically. The implementation logic is cryptographically signed using Verifiable Credentials (VCs). Users can set complex commission conditions, including price ranges, time limits, and payment method priorities, forming a tamper-proof digital contract. Once signed, the AI Agent executes according to the conditions, with VCs ensuring auditability and security at every step. Of particular note is the "A2A x402" extension, a technical component developed by Google specifically for crypto payments, developed in collaboration with Coinbase and the Ethereum Foundation. This extension enables AI Agents to seamlessly process stablecoins, ETH, and other blockchain assets, supporting native payment scenarios within the Web3 ecosystem. What kind of imagination space can AP2 bring? After analyzing the technical principles, do you think that's it? Yes, in fact, the AP2 is boring when it is disassembled alone. Its real charm lies in connecting and opening up the "MCP+A2A+AP2" technology stack, completely opening up the complete link of AI Agent's autonomous analysis+execution+payment. From now on, AI Agents can open up many application scenarios. For example, AI Agents for stock investment and financial management can help us monitor the market 24/7 and conduct independent transactions. Enterprise procurement AI Agents can automatically replenish and renew without human intervention. AP2's complementary payment capabilities will further expand the penetration of the Agent-to-Agent economy into more scenarios. Google obviously understands that after the technical framework is established, the ecological implementation must be relied upon, so it has brought in more than 60 partners to develop it, almost covering the entire payment and business ecosystem. Interestingly, it also involves major Crypto players such as Ethereum, Coinbase, MetaMask, and Sui. Combined with the current trend of currency and stock integration, the imagination space has been doubled. Is web3 AI really dead? Not entirely. Google's AP2 looks complete, but it only achieves technical compatibility with Crypto payments. It can only be regarded as an extension of the traditional authorization framework and belongs to the category of automated execution. There is a "paradigm" difference between it and the autonomous asset management pursued by pure Crypto native solutions. The Crypto-native solutions under exploration are taking the "decentralized custody + on-chain verification" route, including AI Agent autonomous asset management, AI Agent autonomous transactions (DeFAI), AI Agent digital identity and on-chain reputation system (ERC-8004...), AI Agent on-chain governance DAO framework, AI Agent NPC and digital avatars, and many other interesting and fun directions. Ultimately, once users get used to AI Agent payments in traditional fields, their acceptance of AI Agents autonomously owning digital assets will also increase. And for those scenarios that AP2 cannot reach, such as anonymous transactions, censorship-resistant payments, and decentralized asset management, there will always be a time for crypto-native solutions to show their strength? The two are more likely to be complementary rather than competitive, but to be honest, the key technological advancements behind AI Agents currently all come from web2AI, and web3AI still needs to keep up the good work!
Share
PANews2025/09/18 07:00
Zama to Conduct Sealed-Bid Dutch Auction Using Encryption Tech

Zama to Conduct Sealed-Bid Dutch Auction Using Encryption Tech

Zama unveils innovative public token auction, using proprietary encryption. Bidding begins January 21, 2026. Key details on protocol and market impact.Read more
Share
Coinstats2026/01/20 18:13
Fed Finally Cuts Interest Rates – Crypto Boom is About to Begin

Fed Finally Cuts Interest Rates – Crypto Boom is About to Begin

The federal funds rate now stands in a range of 4.00% to 4.25%, a level that reflects a delicate balancing […] The post Fed Finally Cuts Interest Rates – Crypto Boom is About to Begin appeared first on Coindoo.
Share
Coindoo2025/09/18 02:01