OpenAI has announced that its key focus for 2026 will be “practical adoption” of artificial intelligence, meaning AI should be used more widely in daily life and real work, not only as a new technology for experimentation.
The message was shared in an OpenAI article titled “A business that scales with the value of intelligence”, written by Sarah Friar, CFO of OpenAI, and published on January 18, 2026.
ChatGPT adoption moved from curiosity to daily infrastructure
OpenAI said it first launched ChatGPT as a research preview to see what would happen if advanced AI was put directly into people’s hands. The company stated that what followed was broad adoption and deep usage on a very large scale.
According to OpenAI, people began using ChatGPT for everyday needs such as homework support, planning trips, managing budgets, writing help, and making sense of health symptoms before doctor visits. OpenAI said the tool later became a workplace assistant as well, helping with drafts, spreadsheets, customer emails, and other tasks.
OpenAI says it is both a research and deployment company
In the article, OpenAI described itself as a research and deployment company. It said its job is to reduce the gap between how fast AI improves and how quickly individuals, companies, and countries can adopt and use it.
OpenAI also said it follows a simple business principle: its business model should scale with the value that intelligence delivers. It said consumer subscriptions were introduced as users demanded more capability and reliability, while workplace subscriptions and usage-based pricing were added as AI entered team workflows. It also highlighted its platform business that allows developers and enterprises to embed AI through APIs.
Revenue and compute growth show how fast OpenAI is scaling
OpenAI shared major growth numbers in the post.
The company reported that compute grew 3× year over year and 9.5× from 2023 to 2025, increasing from 0.2 gigawatts (GW) in 2023 to 0.6 GW in 2024 and to about 1.9 GW in 2025.
OpenAI said revenue growth tracked this trend as well. It reported $2 billion ARR (annual recurring revenue) in 2023, $6 billion in 2024, and more than $20 billion in 2025, calling it “never-before-seen growth at such scale.”
OpenAI: Compute is the scarcest resource in AI
OpenAI said compute remains the most limited resource in the AI industry. It stated that three years ago it relied on one compute provider, but today it works with multiple providers in a diversified ecosystem, giving it more stability and predictability.
OpenAI described compute as a managed “portfolio,” saying it trains frontier models on premium hardware but runs high-volume workloads on lower-cost infrastructure where efficiency matters more. OpenAI said this improves speed and throughput while reducing costs.
The company also said it can now deliver useful intelligence at costs “measured in cents per million tokens,” which it described as a key reason AI can become practical for everyday workflows and not only elite use cases.
Next phase: Agents and workflow automation
OpenAI said the next major step in its platform is AI agents and workflow automation. It explained that agents are systems that can run continuously, remember context over time, and take actions across different tools.
OpenAI said that for individuals, this could mean AI that manages projects, coordinates plans, and executes tasks. For organizations, OpenAI said it could become an “operating layer” for knowledge work.
Practical adoption is OpenAI’s central goal in 2026
OpenAI clearly stated its 2026 priority in the article. It said that discipline in scaling compute, products, and monetization “sets up our focus for 2026: practical adoption.”
OpenAI said the goal is to close the gap between what AI now makes possible and how people, companies, and countries use it day to day. It also said the opportunity is especially important in health, science, and enterprise, because better intelligence can directly lead to better outcomes.
Conclusion
OpenAI’s new direction shows that 2026 is not only about building more powerful AI models but also about ensuring people can actually use AI in meaningful, reliable ways. With rapid growth in compute and revenue, OpenAI is positioning itself to expand AI from novelty to a real infrastructure that supports everyday life and the global economy.
