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ChatGPT User Statistics, Data, Revenue & Facts

Christina Joshy

September 26, 2023

Amidst the emergence of cutting-edge artificial intelligence, ChatGPT stands as an emblem of remarkable progress. An innovative language model crafted by OpenAI, ChatGPT has transcended mere algorithms to become a virtual conversationalist of astonishing capabilities. As the world embraces the era of AI-driven interactions, understanding the underlying statistics that empower ChatGPT becomes increasingly imperative.

This article embarks on a captivating journey into the realm of ChatGPT Statistics, unravelling the numerical foundations that underpin its linguistic prowess. Delving into the algorithmic architecture and neural network design, we illuminate the statistical mechanisms responsible for its uncanny ability to generate human-like responses. Beyond the technical nuances, we explore the vast corpus of data that fuels ChatGPT’s comprehension and responsiveness, shedding light on the training data and its impact on the model’s performance.

About ChatGPT

ChatGPT is an advanced language model developed by OpenAI, powered by the GPT-3.5 architecture. With a vast knowledge base up to September 2021, it excels in natural language understanding and generation. ChatGPT is designed to engage in dynamic, human-like conversations with users across a wide range of topics.

Leveraging its deep learning capabilities, it comprehends context, provides informative responses, and adapts its tone accordingly. From answering questions to offering creative ideas, ChatGPT serves as a helpful virtual assistant. It has applications in customer support, education, content generation, and more, revolutionizing the way people interact with AI and enhancing user experiences.

What is ChatGPT Capable of Doing?

ChatGPT, powered by GPT-3.5 architecture, is a versatile language model capable of performing various tasks, including:

• Answering Questions: ChatGPT can respond to a wide range of questions on various topics, drawing upon its vast knowledge base.
• Natural Language Understanding: It can comprehend and interpret complex human language, enabling more natural and context-aware conversations.
• Language Translation: It can translate text between different languages, facilitating communication across linguistic barriers.
• Creative Writing: It is skilled at generating creative stories, poetry, and other written content.
• Programming Help: It can assist with coding-related queries and provide explanations for programming concepts.
• Academic Research: It can provide explanations and information relevant to academic subjects and research inquiries.
• Content Generation: ChatGPT can generate articles, blog posts, and marketing copy on various topics.
• Simulation and Roleplay: It is capable of engaging in interactive, text-based roleplay scenarios, simulating characters or personas.
• Language Learning: It can help with language learning by providing practice conversations and vocabulary explanations.
• General Knowledge: The platform can provide information about historical events, scientific concepts, current affairs, and more.
• Problem-Solving: It can assist with solving puzzles, riddles, and logical problems.
• Code Generation: ChatGPT can produce code snippets in various programming languages based on user instructions.
• Personalized Assistance: It can offer personalized recommendations, reminders, and suggestions.
• Text Editing and Summarization: It can edit and summarize text, making it useful for proofreading and condensing long passages.
• Conversational Engagement: The platform can maintain engaging, human-like conversations, making it an effective virtual assistant.

A Brief History of ChatGPT

GPT 3.5 vs. GPT 4

ChatGPT Plug-Ins

There are many different ChatGPT plugins available, each with its own unique function. Listed below are some of the most popular plug-ins.

Prometheus: ChatGPT and Bing Search Bot

• On February 7, 2023, Microsoft, with its significant stake in OpenAI, unveiled its reinvented Bing search, driven by AI to rival Google.
• The latest version of Bing introduces a new Chat feature, delivering search results in a conversational manner.
• This Chat feature resembles ChatGPT but differs in its real-time data utilization from websites within the Bing Index.
• This unique AI model, named Prometheus, seamlessly merges search and chat functionalities, leveraging the power of ChatGPT alongside the Bing Index data.

ChatGPT Application Statistics

• OpenAI launched the ChatGPT app for iOS users on May 18, 2023.
• Initially available only in the United States, the app’s availability expanded to 40+ countries, including Albania, Croatia, France, Germany, Ireland, Jamaica, New Zealand, Nicaragua, Nigeria, South Korea, and the U.K.
• Within its first week on the Apple App Store, the iOS ChatGPT app garnered over 500,000 downloads.
• The app has received a user rating of 4.4 stars out of 5, with a total of 10,031 ratings to date.
• As of the time of writing, the iOS ChatGPT app holds the top position in the ‘Productivity’ category in the Apple App Store.

ChatGPT Parameters and Features

ChatGPT processed approximately 300 billion words during its training.

• The ChatGPT model boasts an impressive 175 billion parameters.
• With an accuracy rate of over 85%, ChatGPT is highly reliable, even excelling in generating flawless code snippets, making it a valuable tool for software engineering.
• In a medical context, ChatGPT demonstrated its capabilities by answering Medical Licensing Exams questions at a level comparable to that of a third-year medical student, achieving an accuracy rate of around 60% for the most challenging questions.
• ChatGPT’s remarkable statistics include 175 billion parameters and 570 GB of data, attributes that have contributed to its rapid adoption by a large user base.
• ChatGPT’s ability to attract a substantial user base without a solid business model underscores its potential and how it can be harnessed to create powerful applications.

ChatGPT User Demographics

How many people visit ChatGPT every month? As of April 2023, the total number of page visits to ChatGPT stands at an impressive 1.8 billion.

Who contributes the most to ChatGPT's biggest share of users?

According to Statista, the age group that uses ChatGPT the most is 25-34 years old. This age group accounts for over 35% of ChatGPT users worldwide. The second largest age group of ChatGPT users is 18-24 years old, which accounts for over 30% of users. Together, these two age groups account for over 60% of all ChatGPT users.

Where are most of ChatGPT's users from?

The United States contributes to the maximum number of ChatGPT users at a strong 12.8% followed by India, United Kingdom, Canada and Germany.

Countries With the Most ChatGPT Users

United States (12.8%)
India (7.6%)
United Kingdom (6.3%)
Canada (4.8%)
Germany (4.1%)

Chat GPT Regional Language Usage

• India has a large and diverse population, with over 22 official languages. According to a recent survey by YouGov, 17% of Indians have used ChatGPT since January 2023. This suggests that ChatGPT is gaining popularity in India, and it is likely that some of these users are using it in their own regional languages.
• ChatGPT is banned in China, but it is still very popular among Chinese users. According to Similarweb, China has the highest Google search volume for ChatGPT globally. This suggests that there is a high demand for ChatGPT in China, and it is likely that some Chinese users are finding ways to access it.
• The generative AI platform supports over 200 languages, including many regional Indian languages such as Hindi, Bengali, Tamil, Telugu, and Malayalam are mostly referenced.

Is ChatGPT Available Everywhere?

ChatGPT is currently accessible in 161 countries which contributes to about 82% of the world's countries.

ChatGPT's Genderwise Usage Breakdown

Who is using ChatGPT?

As per Cyberhaven’s research findings, approximately 8.2% of company employees have experimented with ChatGPT within the workplace. Of the 8.2%, ChatGPT is primarily used by writers and customer service representatives:

• Writers: According to a survey by HubSpot, 40% of writers use ChatGPT to generate text and 60% of them say that ChatGPT saves at least 30 minutes per day.
• Translators: A study by the University of Oxford found that ChatGPT can translate text with an accuracy of up to 95%. This is comparable to the accuracy of human translators.
• Customer service representatives: Salesforce's research suggests that 70% of customer service representatives use ChatGPT to answer customer questions. 80% also claim that ChatGPT has helped them to improve their customer satisfaction scores.
• Researchers: A study by the University of California, Berkeley found that ChatGPT can be used to gather and analyze data with an accuracy of up to 90%.
• Teachers: National Education Association survey results point out that 50% of teachers use ChatGPT to create personalized learning experiences for students. Of those teachers, 70% say that ChatGPT has helped their students to learn more effectively.

How Popular is ChatGPT?

ChatGPT was regarded as the 'best AI chatbot ever released'

according to the New York Times.

Costs to Run and Use ChatGPT

• The average cost of a single chat with ChatGPT is likely in single-digit cents, according to Sam Altman, CEO of OpenAI.
• The estimated daily cost for running ChatGPT is around $100,000, and the monthly cost is approximately $3,000,000 (3 Million USD), based on Azure Cloud expenses, as estimated by AI ML Professor Tom Goldstein from Maryland University.
• With an estimated user count of 100 million in January 2023, ChatGPT likely receives 1 billion queries per day.
• The ChatGPT model contains 175 Billion parameters and receives 10 Million queries per day, assuming 1 million users make an average of 10 queries/user, as per Tom Goldstein’s Twitter estimation.
• OpenAI introduced the “Turbo” mode for ChatGPT Plus users, providing even quicker response times.
• Upon monetization, ChatGPT is predicted to generate a revenue of $200 million by the end of 2023 and $1 billion by the end of 2024.

What Does ChatGPT's Revenue Look Like?

ChatGPT is expected to generate over $200 million by the end of the current financial year. However, this number is entirely based on predictive analysis and no official data is available on the same.

Data Set Used to Train ChatGPT

ChatGPT is trained on a massive dataset of text data, including books, articles, and web pages. OpenAI used a dataset called the Common Crawl, which is a publicly available corpus of web pages. The Common Crawl dataset includes billions of web pages and is one of the largest text datasets available. In addition to the Common Crawl dataset, ChatGPT is also trained on other datasets, such as:

• BooksCorpus: This dataset includes over 800GB of text from books.
• WebText2: This dataset includes the text of web pages from all outbound Reddit links from posts with 3+ upvotes.
• Wikipedia: This dataset includes the text of all Wikipedia articles in the English language.

Tools That Use GPT as Their Model

Several AI tools in the digital space use GPT as their language model. A few of the most common ones are listed below:

How Long Does it Take ChatGPT to Answer a Question?

The answer to this question entirely depends on the type of question that is being posed to the AI platform. For ease of explanation, let us consider three cases:

Case One:
Question Posed:
Which is the longest bone in the human body?
Time Taken: 2 seconds to provide a 50-word answer.

Case Two:
Question Posed:

Time Taken: 8 seconds to provide a 354-word answer.

Case Three:
Question Posed:
Write a short story in the style of Edgar Allan Poe about a building and a flashing torchlight.
Time Taken: 40 seconds to write a 700-word story (the output was quite unsatisfactory).

ChatGPT Website Traffic Stats

ChatGPT website gets its traffic from several sources, but maximum traffic is usually recorded from direct sources amounting to a massive 88.43%.

How Hard Is It to Identify ChatGPT-Generated Content?

• Over half of the readers (53%) incorrectly believed that content generated by ChatGPT on subjects like finance, health, technology, entertainment, and travel was authored or edited by humans.
• Technology content was correctly identified as AI-generated by 51% of readers, the only sector where more than half identified the content accurately. With GPT-4.0, technology content had a correct identification rate of 60.3%.
• Older readers tend to be more cynical and can identify ChatGPT-generated content more easily than younger individuals. For example, 18-24-year-olds correctly identified AI-generated text 40.2% of the time, while those aged 45-54 were correct 49.6% of the time.
• On average, the GPT-4.0 model was 16.5% more successful in convincing people that its AI-generated content was written by a human compared to the GPT-3.5 model.

ChatGPT's IQ and Accuracy

• Views on ChatGPT’s IQ differ significantly, with some attributing it a slightly below-average score of 83, while others boast an impressive 99th percentile IQ of 147.
• In a study by Stanford University, ChatGPT was able to answer factual questions correctly 86.8% of the time. This is comparable to the accuracy of human experts. ChatGPT was also able to generate text that was indistinguishable from human-written text 52.7% of the time.

Main Competitors of ChatGPT

• Google launched ‘Bard‘, a conversation-based AI application similar to ChatGPT, on March 21, 2023. A live event featuring Google Bard led to a 7% stock reduction due to an incorrect response, prompting the removal of the event video from YouTube.
• Baidu plans to release ‘Ernie’, an AI chatbot, after internal testing, resulting in a 13.48% rise in Baidu’s shares.
• Alibaba introduced ‘Tongyi Qianwen’, a generative AI model, set to be integrated into their voice assistant and messaging apps.

Limitations of ChatGPT

While ChatGPT is a powerful language model with various applications, it does have some limitations.

• Lack of real-world understanding: ChatGPT may generate plausible-sounding responses without a comprehensive understanding of real-world events or context, leading to inaccurate or nonsensical answers.
• Sensitivity to input phrasing: Slight changes in the phrasing of a question can result in significantly different responses, indicating a lack of robustness in handling variations.
• Inability to ask clarifying questions: Unlike humans, ChatGPT cannot seek clarification when faced with ambiguous queries, potentially leading to incorrect responses.
• Biases in responses: The model may sometimes produce biased or controversial outputs, reflecting biases present in the data on which it was trained.
• Overconfidence: ChatGPT may provide answers even when uncertain, without indicating its confidence level, which could lead to misinformation.

What Does ChatGPT's Future Look Like?

• GPT-4 is scheduled for a 2023 launch and is anticipated to possess computation power 100 times greater than GPT-3.
• GPT-4 is poised to be 500 times more potent than GPT-3, equipped with a training set featuring a staggering 170 trillion parameters, establishing it as the most powerful AI engine to date. This development is noteworthy as it promises to revolutionise the capabilities of chatbots, enabling more intricate conversations and interactions.
• Currently, several countries, including China, Russia, Ukraine, Afghanistan, Iran, Belarus, and Venezuela, do not have access to ChatGPT and GPT-3 technology.
• The absence of these powerful tools in these countries could place their populations at a significant disadvantage, limiting their ability to engage with and benefit from advanced technology, as well as the valuable data and insights it can offer.
• Access to cutting-edge technologies plays a vital role in economic and social development, emphasising the importance of ensuring equitable access for all nations.

ChatGPT: A Promise Worth Watching Out For

The statistics surrounding ChatGPT’s capabilities highlight the tremendous potential of generative AI in transforming how we interact with technology. From its vast parameters to handling millions of queries, ChatGPT showcases the progress made in natural language processing. However, its limitations in understanding real-world context, biases, and lack of independent thought underscore the importance of responsible deployment and ongoing research.

As we delve deeper into the realm of AI language models, it raises questions about the ethical implications, ensuring transparency, and safeguarding against potential misuse. While we embrace the positive impact of generative AI, it is necessary to carefully navigate this transformative landscape with vigilance and curiosity, striving to unlock the full potential of this incredible technology for the betterment of our world.