"OpenAI is increasingly positioning its business model around the principle that investments and revenues must grow in line with the value generated by artificial intelligence. In a blog post, CFO Sarah Friar describes how AI within OpenAI has shifted from an experimental tool to a form of infrastructure. Costs and revenues are directly linked to actual use and added productivity."
"According to OpenAI, ChatGPT quickly became an integral part of both personal and professional workflows. What started as a tool to support studying, writing, and planning is now used by users on a structural basis in software development, marketing, financial analysis, and management decision-making. According to the company, this broader use forms the basis for an economic model that differs from traditional software licensing."
"Instead of fixed prices per user, OpenAI has opted for a combination of subscriptions and usage-based rates. Paid ChatGPT models are available for consumers and teams. Developers and companies, on the other hand, pay via APIs according to the amount of computing power the models use. According to OpenAI, this means that costs are aligned with the value that organizations actually derive from intelligence, similar to cloud infrastructure."
OpenAI aligns its business model so investments and revenues scale with the value produced by AI. AI at OpenAI has moved from experiment to infrastructure, linking costs and revenue to actual usage and productivity gains. ChatGPT became integral to personal and professional workflows, supporting studying, writing, planning, software development, marketing, financial analysis, and management decisions. Pricing mixes subscriptions for consumers and teams with usage-based API charges for developers and companies tied to compute consumption. ChatGPT is treated as a decision platform enabling targeted, decision-relevant advertising as a supplemental revenue source.
Read at Techzine Global
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