ChatGPT drives OpenAI toward $1B revenue goal after losing $540M in 2022

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ChatGPT drives OpenAI toward $1B revenue goal after losing $540M in 2022

OpenAI is poised to surpass the $1 billion revenue mark within the next year, driven by sales of artificial intelligence software and the associated computing capacity, The Information reported on Aug. 29.

The AI startup has reportedly seen a substantial boost in its monthly revenue to around $80 million. This marks a significant increase from its previous revenue of $28 million, which coincides with the introduction of fees for its widely-used chatbot, ChatGPT. Meanwhile, The Information reported that OpenAI lost around $540 million last year while developing GPT-4 and ChatGPT.

ChatGPT gained wide adoption and usage across the globe, reaching 100 million monthly active users in record time, with its website generating more than 1.6 billion visits in June. This places it among one of the most used web applications by netizens.

OpenAI generates revenue by selling its API access to its AI models to developers and enterprises and collaborating with Microsoft. Microsoft invested over $10 billion into the AI startup in January and has integrated ChatGPT into several of its products.

On Aug. 28, OpenAI launched ChatGPT Enterprise to offer users top-tier security and privacy measures, unlimited high-speed access to GPT-4, extended context capabilities for more comprehensive inputs, advanced data analysis tools, and adaptable configurations.

ChatGPT Enterprise places a premium on safeguarding data, offering customers ownership and control over their data, full compliance with SOC 2 standards, and encrypted conversations. Its user-friendly admin console streamlines team management enables domain verification, supports single sign-on (SSO), and provides insights for large-scale deployment.

Beyond its robust security features, ChatGPT Enterprise grants unrestricted access to advanced data analysis, formerly known as Code Interpreter. This tool empowers both technical and non-technical teams to analyze data swiftly.


Tag: AI
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