OpenAI revenue increased 16 percent to 4.3 billion dollars in first half according to The Information

OpenAI reported $4.3 billion revenue in H1 2025, driven by ChatGPT's strong growth across consumer and enterprise markets. Subscriptions (ChatGPT Plus, Pro, Team, Enterprise) remain the primary revenue source, with API and licensing fees contributing 15-20%. The company is expanding with new features and affordable plans like ChatGPT Go in India, positioning itself to exceed its $12.7 billion revenue projection for 2025.

OpenAI is implementing a new policy for its Sora video generator that will require copyright holders to actively opt out if they don't want their content used in training data. This represents a significant shift in AI content usage practices. Sora, which creates videos from text prompts using diffusion and transformer models, can generate minute-long videos with advanced editing features while including safety measures. The opt-out requirement aims to address growing concerns about AI's use of copyrighted material, with OpenAI establishing strict guidelines prohibiting misleading content, privacy violations, and copyright infringement. This decision may establish new industry standards for intellectual property protection in AI development.

Anthropic has released Claude 4.5, an AI model specifically designed for business users rather than consumers. The upgraded model excels in finance, scientific reasoning, and extended coding capabilities, with testing showing it can code autonomously for up to 30 hours. Claude 4.5 demonstrates improved computer operation skills, scoring 60% in benchmarks compared to 40% for previous versions. New features include an enhanced coding interface with checkpoints and the ability to create files directly in conversations. The model is being integrated into Microsoft 365 Copilot and distinguishes itself through its "Constitutional AI" framework, which prioritizes safety for regulated industries. Anthropic, backed by Alphabet and Amazon, is positioning Claude 4.5 as a reliable enterprise solution for complex, sustained workplace tasks rather than viral consumer applications.

A leading Emerging Market debt database managed by development banks is implementing AI technology to enhance risk analysis capabilities. This upgrade aims to address complexities in global finance amid volatile conditions. Key improvements include faster risk profiling, machine learning for early warning detection, and predictive analytics for forecasting financial distress. The World Bank, IMF, and regional institutions are collaborating on this initiative, which will provide real-time risk assessments, support better decision-making, and increase market transparency. The AI integration represents a significant advancement in financial oversight for emerging economies, potentially helping prevent future crises through earlier identification of vulnerabilities.