OpenAI's Management Overhaul and the Rise of Digital Brand Twins
OpenAI CEO Sam Altman is reportedly developing a new management plan to shape the company's future strategy. Meanwhile, the trend of creating personalized 'digital brand twins' using AI technology is rapidly gaining momentum across the industry.

Strategic Transformation at OpenAI: New Management Plan and Product Integration
Significant developments are underway at AI giant OpenAI. The company's CEO, Sam Altman, is reportedly working on a comprehensive management plan that will shape OpenAI's future strategy. This plan is expected to bring substantial changes to the company's product portfolio and research directions.
Integration of GPT-5 and O-Series Models
One of the key pillars of the plan appears to be the consolidation of different model series. According to sources, OpenAI aims to integrate the GPT series with O-series models (such as o3) to deliver a more powerful system. GPT-5 is planned to be launched as a system that combines chain-of-thought reasoning capabilities with traditional model power, incorporating many of the company's technologies. This move could signal the discontinuation of pure GPT lineage development.
New Products: Operator and Codex
Innovations in OpenAI's product portfolio are noteworthy. The new AI agent named Operator stands out with its ability to autonomously control a browser like a human. It can perform repetitive browser tasks such as form filling, order placement, and content creation using the same interfaces and tools that humans use. This technology aims to help users save time.
Meanwhile, the software engineering agent named Codex has the potential to transform programmers' workflows. This cloud-based tool could revolutionize software development processes by assisting developers with coding, debugging, and project management.
Digital Brand Twins: Next-Generation Business Partners
Another significant trend in the AI ecosystem is the rise of 'digital twin' technologies. Digital twins are now evolving beyond mere technology demonstrations into real business partners capable of making decisions, communicating, and working. These AI-powered brand representatives can interact with customers, handle inquiries, and perform tasks autonomously, representing a major shift in how companies approach customer engagement and operational efficiency. The technology leverages advanced natural language processing and machine learning to create personalized, responsive digital entities that mirror brand values and service standards.


