James has six years' experience as a Content Marketer, bylines on Left Foot Forward, Submittable, and INOMICS, and a Master's in History. In his free time he likes to read, play guitar, and write for his personal blog.
Artificial intelligence: sounds complex, right? But there's one AI, ChatGPT by OpenAI, that's as easy to use as talking to a friend. The numbers speak for themselves, and they're telling a story of a digital revolution. Let's dive into these updated statistics on ChatGPT and AI in general and see just how much this AI is changing the game.
Key ChatGPT statistics
OpenAI has 1.8 billion visits in total till April 2023 (and it's increasing)
ChatGPT daily costs are an estimated $694,444 per day
ChatGPT amassed a million users within its first five days, and by January, the user base soared to 100 million, making it the fastest-expanding platform on record
They will need 30,000 more GPUs just to maintain their current trajectory in 2023
In terms of global traffic, ChatGPT outperforms renowned websites such as Bing.com, NYtimes.com, and CNN.com
The dataset powering ChatGPT is colossal, containing 300 billion words and 570 GB of space. This vast data, drawn from the web, books, and Wikipedia, forms the AI's knowledge base
Financially, OpenAI is set for a significant leap, with revenues predicted to exceed $200 million in 2023 and then to reach $1 billion in 2024
Traffic from the paid budget is 0.01%
The most traffic is coming from Direct sources (76.91%)
OpenAI users are 61.52% male and 38.48% female
The global AI market, currently worth nearly $100 billion, is predicted to skyrocket twentyfold to almost $2 trillion by 2030
According to Insider, AI is projected to infuse the global economy with a $900 billion uplift by 2026, and this figure is expected to escalate to a staggering $15.7 trillion by 2030
OpenAI has successfully finalized a share sale worth $300 million, positioning its valuation between $27 billion and $29 billion
Top ChatGPT keywords by traffic share
ChatGPT keywords by traffic share - source Semrush
The following keywords generate a significant amount of US traffic for ChatGPT:
"chat gpt" has a monthly search volume of 2,240,000
"chatgpt" has an even higher monthly search volume at 4,090,000
"openai", the organization behind ChatGPT, with a monthly search volume of 550,000
"dall e", another project by OpenAI, contributes to the site's visibility with a monthly search volume of 450,000
These keyword search volumes suggest that a large number of people in the USA are interested in and searching for information related to ChatGPT and other OpenAI projects.
This screenshot shows the global top keywords for ChatGPT:
Regional distribution of ChatGPT users
The majority of ChatGPT users are found in the US, making up 15.22% of the total user base.
India follows in second place but with significantly fewer users, accounting for only 6.32% of the total.
The combined user base from the top five countries - the US, India, Japan, Colombia, and Canada - comprises roughly one-third (31.6%) of all ChatGPT users.
Here's a detailed overview of the user distribution by country:
US: 15.22% of ChatGPT users
India: 6.32% of ChatGPT users
Japan: 4.01% of ChatGPT users
Colombia: 3.3% of ChatGPT users
Canada: 2.75% of ChatGPT users
Other countries combined: 68.4% of ChatGPT users
Regional distribution of ChatGPT users
Web traffic statistics on ChatGPT
The dominant channel for ChatGPT visits is direct, accounting for over 7 out of 10 visits (76.91%).
Organic search channels rank second, contributing 15.20% of the overall traffic.
Here's a detailed distribution of ChatGPT marketing channels:
Direct: 76.91% of traffic
Social: 4.73% of traffic
Organic Search: 15.20% of traffic
Mail: 2.85% of traffic
Referrals: 0.62% of traffic
Display: 0.04% of traffic
Paid search: less than 0.01% of traffic
Web traffic for ChatGPT
Social media traffic sources
In the realm of social media, YouTube leads as the top source of traffic, bringing in nearly 3 out of 5 visits (56.71%).
Here's how other social media platforms fare:
YouTube: 56.71% of traffic
WhatsApp: 11.97% of traffic
Facebook: 10.36% of traffic
Twitter: 4.67% of traffic
LinkedIn: 3.49% of traffic
Other platforms combined: 12.82% of traffic
Traffic channels for ChatGPT
ChatGPT vs. Bing Chat vs. Bard
Type of Platform
Conversational AI Tool
AI-Powered Conversational Internet Search
AI-Powered Conversational Internet Search
OpenAI’s GPT-4 Language Model
570 GB of textual data from websites, books, and other sources.
Websites on Bing Search Index, user input, knowledge bases
Websites & sources on Google Search Index
Limited up to 2021 (but now can access the internet)
Aware of all present & past events
Aware of all present & past events
Generally available (free + paid)
Available to all
Currently available in the US, UK, and 180 more countries
Limited per hour
ChatGPT-3.5 vs ChatGPT-4
GPT-4, the new version of OpenAI's language AI, is a big step up from the old version, GPT-3.5. It's much better at understanding and using language, figuring out the context, and handling a lot more information. It's good at understanding different ways of speaking and reacting to emotions. It can answer tough questions using info from many sources. It's more creative and makes more sense when it's making up stories. It's also better at solving hard problems in math and science and can write and fix computer code more efficiently.
Unlike GPT-3.5, which only deals with text, GPT-4 can also understand and talk about pictures and graphics. It's less likely to say things that are biased or inappropriate. In the future, it could get better at understanding context and who's talking to it, work with other software, remember past chats, and be less likely to believe false info. GPT-4 could be really useful in lots of areas, like writing, teaching, and customer service, which makes it a very important tool in today's digital world.
ChatGPT for email
AI helping with emails can definitely make things simpler for us. But, some people might feel a bit nervous about this advanced tech. In 2023, about 347.3 billion emails were sent every day, and this number will probably keep growing each year. That leaves space for AI tools to help us handle our emails better and quickly find the important ones.
ChatGPT can be utilized in numerous ways for email communication:
Drafting emails: ChatGPT can help draft emails, letters, and other forms of written communication. This includes formal business correspondence, informal communication, and everything in between.
Reply suggestions: Based on the context of an incoming email, ChatGPT can suggest potential replies, which can be particularly helpful for managing a large volume of emails or for providing initial drafts to be edited.
Content ideas: If you're looking to send a marketing or newsletter email but aren't sure what to write about, ChatGPT can provide content ideas based on given keywords or topics.
Mailbutler conducted an anonymous survey with over 200 participants. This is what we found out:
8.3% of them do not trust artificial intelligence (AI)
59.7% have a basic understanding of AI
18.6% have a strong technical understanding of AI
17.8% have heard of it AI
3.9% have no knowledge of AI
Mailbutler's survey about AI
The future of ChatGPT
As we can see based on these statistics on ChatGPT the road ahead looks quite bright and thrilling. As we get better at teaching computers to understand and use language, tools like ChatGPT will keep getting smarter. They're about to shake up how we work and could change many jobs. Some folks even think that, in a little while, ChatGPT and its kin could be as smart as humans, or nearly as smart.
Here are some pros and cons of advanced AI models like ChatGPT:
Efficiency and productivity: AI models can handle tasks quickly and accurately, boosting productivity. They can work 24/7 without breaks, which is especially useful in customer service and other fields where round-the-clock availability is important.
Personalized experience: AI models can analyze large amounts of data to provide personalized recommendations and responses, enhancing user experience.
Accessibility: AI models can make information and services more accessible, for example by providing voice-activated interfaces for people who have difficulty typing or reading.
Potential for new insights: AI models can analyze large datasets to identify patterns and trends that might be difficult for humans to detect.
Lack of understanding: AI models like ChatGPT don't truly understand the text they generate. They can produce plausible-sounding responses without fully grasping the context or implications.
Privacy concerns: AI models require large amounts of data, which can raise privacy issues. It's important to ensure that data is used and stored responsibly.
Job displacement: As AI becomes more capable, there are concerns that it could replace human jobs in certain fields, leading to job loss and economic displacement.
Ethical and safety risks: AI can be misused or can generate harmful or misleading content if not properly controlled. It's crucial to develop robust ethical guidelines and safety measures for AI use.
Dependency: Over-reliance on AI systems could lead to the loss of certain skills and abilities in the human population, and could create vulnerabilities if the technology fails or is compromised.
Key AI statistics
The largest AI patent owner in the world is Baidu.
AI startup funding worldwide in Q1 2022 was 18 billion USD
35% of companies are already using AI, and another 42% are exploring its implementation
38% of employees expect their job to be automated by 2023
AI technology is projected to create an expected 12 million more jobs
63% of companies surveyed plan to increase or maintain AI and machine learning spending in 2023
65% opt for ready-made AI, while 35% prefer building in-house AI solutions
Key AI statistics by Mailbutler
Artificial Intelligence (AI) statistics
AI technology has been increasingly adopted by businesses in various sectors. According to a TechJury article, 35% of companies are already using AI, and another 42% are exploring its implementation. IT analyst firm, Info-Tech Research Group, reports that 44% of private sector companies plan to invest in AI systems in 2023. Meanwhile, 91.5% of leading businesses invest in AI on an ongoing basis. As for AI's impact on customer satisfaction, Gartner expects it to grow by 25% by 2023 in organizations that use AI.
Artificial Intelligence market size
The AI market is seeing significant growth. As of 2022, Precedence Research reported a global market size of $119.78 billion. This is projected to skyrocket to $1,597.1 billion by 2030, with a compound annual growth rate (CAGR) of 38.1% from 2022 to 2030. The AI market share in the United States alone is anticipated to value $190.61 billion by 2025.
Statistics on AI Usage
AI usage is widespread and varied. In terms of voice assistants, 97% of mobile users utilize AI-powered tools, and more than 4 billion devices currently operate on these systems. A whopping 63% of companies surveyed plan to increase or maintain AI and machine learning spending in 2023. Moreover, AI technology is expected to create 12 million more jobs than it is expected to replace, and 97 million specialists are anticipated to be needed in the AI industry by 2025.
AI in business
AI is transforming the way businesses operate. It's used to automate processes, enhance customer service and personalization, increase output, and analyze data, all in the pursuit of gaining a competitive advantage. The technology is also proving to be a key player in the marketing and retail sectors. For instance, AI spending in the retail industry is projected to reach $20.05 billion by 2026. Additionally, 48% of marketing leaders say AI has significantly changed how customers interact with their businesses.
AI transforming the job landscape and employment data statistics
AI's growth and the rise of machine learning have sparked concern over job security. Semrush reveals that 38% of employees expect their job to be automated by 2023 and 13% foresee AI eliminating positions entirely in their industry. However, there is a silver lining. AI technology is projected to create more jobs than it replaces, with an expected 12 million more jobs created and a high demand for 97 million specialists in the AI industry by 2025.